MFBS框架下基于知识的计算机辅助创新设计关键技术研究
|
摘要
21世纪的经济发展呈现出信息化、知识化的特征,产品设计过程中知识的增值成为主宰新产品竞争力的决定性因素,基于知识的设计方法已经成为实现设计制造自动化,增强企业竞争力的一项重要高新技术。创新是产品设计的本质和灵魂。在产品设计阶段,对产品功能求解的设计过程,最富创新性。当前,新产品开发设计中所需要的知识越来越多,涉及到不同领域的不断变化知识资源。开展以设计知识获取、表达及运用为核心的计算机辅助创新设计,是提高我国制造型企业的创新能力和核心竞争力的重要途径,也符合《国家中长期科学和技术发展规划纲要(2006～2020)》中“数字化与智能化设计制造”优先主题中“智能化创新设计方法及技术”研究内容。
本文在系统地综述了计算机辅助创新设计理论、方法与关键技术研究现状的基础上,提出了模块—功能—行为—结构(Modular-Function-Behavior-Structure, MFBS)框架下基于知识的计算机辅助创新设计关键技术研究。研究设计知识的建模、设计知识的更新、基于本体映射的产品创新设计、设计方案自动生成等关键技术,通过实例验证了MFBS框架下基于知识的计算机辅助创新设计关键技术实现方法的正确性。本文的主要工作有：
(1)随着产品结构趋向复杂化,功能趋向集成化和复合化,采用功能—行为—结构(Function-Behavior-Structure,FBS)设计过程模型,组合各分功能的结构形成产品整体设计方案时,容易出现“组合爆炸”问题。借鉴模块化设计在缩小产品设计求解空间方面的优势,提出了MFBS的产品设计过程模型。综合考虑客户需求与产品功能元之间的相关性,功能元之间的流相关性和技术进化时功能元之间的相关性,构造功能矩阵,研究了基于模糊动态聚类的功能模块划分方法。以MFBS设计知识的表达为基础,建立了产品设计知识的MFBS本体表达模型和产品设计知识系统。
(2)基于元素级的本体匹配方法、基于概念结构的本体匹配方法都考虑了本体概念语义中的一部分。基于多策略的本体匹配方法也只是把概念自身的语义和概念间的层次结构以加权的形式进行简单地组合。综合利用本体概念自身的语义和概念间的层次结构,提出了基于本体语义块相似性匹配的设计知识更新方法。通过Jena提供的元素提取方法提取OWL文件中的本体元素,采用基于元素级、基于结构级的方法,获得匹配概念对和待匹配概念对；利用本体概念自身的语义信息和本体概念间的层次结构信息,建立概念的语义块；计算概念语义块相似度,判定待匹配概念对的匹配关系,实现改计知识的更新。
(3)针对现有的知识检索与推理方法,在以知识间语义关系为主的创新设计方面的不足,采用分层递进的本体映射策略,系统地研究Jena(?)编程实现MFBS本体知识检索与映射推理算法,进行基于知识的产品设计。引入本体概念的变型空间理论,提出了基于变型空间本体映射的产品创新设计方法,提高以产品设计知识间的语义关系为主的产品创新改计能力。
(4)在产品设计方案生成阶段考虑结构的全生命周期评价属性,建立结构的全生命周期评价基因模型。构造面向全生命周期评价的适应度函数,采用选择、交叉、变导等遗传操作并设计遗传操作算法，实现基于结构全生命周期评价基因模型的功能模块设计方案的自动生成。更好地体现设计方案的全生命周期评价属性,提高设计方案生成的效率。根据功能结构图,组合各功能模块形成产品的整体设计方案。
最后,在关键技术研究基础上,开发MFBS框架下基于知识的计算机辅助产品创新设计系统(Computer Aided Product Innovation Design, CAPID),包括系统框架设计、各模块详细流程,并针对多绳金刚石串珠绳锯设计进行应用研究。
综上所述,本文提出MFBS框架下基于知识的计算机辅助创新设计关键技术研究。借鉴模块化设设在缩小产品设计求解的空间方面的优势,研究了产品的设计知识模型,设计知识的表示与更新机制,设计知识的检索与推理技术；在产品设计方案生成阶段就考虑结构的全生命周期评价属性,利用进化技术实现设计方案自动生成,以期获得可持续应用、基于知识的计算机辅助新设计系统。由于采用基于语义块相似语义块相似性匹配的设计知知更新方法,知识系统具有开放性。同时利用进化技术实现设计方案的自动生成,创新过程具有开放性。本课题的研究既立足于可持续应用、MFBS框架下基于知识的计算机辅助产品创新设计的实际需求,又为基于知识的的产品开放式创新设计提供实现途径,具有重要的理论研究意义和实际应用价值。
In the21st century, the economic development shows information and knowledgement characteristic. The knowledge increment in product design process has become a decisive factor to affect the competitiveness of new product. Knowledge-based design method has become an important high technology to realize design and manufacture automation, enhance the enterprises competitiveness. Innovation is the essence and soul of product design. At the product design stage, the product function solving process is the most innovative. At present, more and more knowledge are needed in the development and design of new products, which involves constantly changing knowledge resources in different areas. Design knowledge acquisition, representation and application are key technologies in computer aided innovation design. It is an important way to improve the innovation capability and core competitiveness of China's manufacturing enterprises. And it is also accord with the priority theme of "methods and techniques of intelligent innovation design" in "digital and intelligent design and manufacturing" of "Outline of the National Program for Long and Medium Term Scientific and Technological Development (2006～2020)".
Research status of theory, methods and key technologies of computer-aided innovation design are systematically reviewed. Research on key technologies of computer aided innovation design based on knowledge in Modular-Function-Behavior-Structure (MFBS) frame is proposed, including knowledge modeling, design knowledge updating, product innovation design based on ontology matching, design scheme generating. Examples are given to verify the correctness of key technologies of computer aided innovation design in MFBS frame. The main contents are as follows:
(1) The product structure tends to be complicate and the product function tends to be integrated and composite. Based on function-behavior-structural design process model, it is easy to generate large number of redundant design schemes and prone to raise the "combinatorial explosion" problem. Using advantages of modular design in reducing product design solution space for reference, the MFBS product design process model is proposed. Through comprehensively considering the correlation between customer needs and product function elements, flow correlation between product function elements and the technical correlation between product function elements with technological evolution, function correlation matrix is established. The dynamic module partition based on fuzzy dynamic clustering is researched. The knowledge expression of MFBS design process is studied. The MFBS ontology expression model of product design knowledge and product design knowledge system is established.
(2) The part of ontology concept semantics is considered by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantics and concept hierarchy structure are simply weighted combined in multi strategy based ontology matching. The ontology matching method is studied by synthetically considering the concept semantics and concept hierarchy structure. The design knowledge updating method is proposed based on similarity matching of ontology semantic block. The ontology elements are extracted by Jena element extraction methods from OWL files. Matching concept pairs and to be matched concept pairs are acquired by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantic block is established by using semantic information and structure information of the ontology. Similarity of concept semantic block is calculated to determine matching relationships and update the design knowledge.
(3) The existing knowledge retrieval and inference methods have disadvantages in product innovation design based on semantic relationships between knowledge. Based on layer progressive ontology matching strategy, MFBS design process model, the MFBS ontology knowledge retrieval and matching reasoning algorithms are systematically studied with Jena programming for product design. Variant space theory is introduced to ontology concept. Variant space ontology matching based product innovation design is put forward to improve innovation design ability on broad semantic relationships between product design knowledge.
(4) The full life cycle assessment properties of structure are considered at design scheme generation stage. The gene model of full life cycle assessment properties of structure is established. The fitness function is constructed for life cycle assessment of structure. The genetic operators are used, such as select, across and mutate. Genetic operation algorithms are designed to automatically generate product function module design schemes, realizing life cycle assessment properties of design schemes, improving the efficiency of product design generation. According to the function structure diagram, functional modules are combined to form the overall product design.
Finally, based on researches of key technologies, the computer aided product innovation design system (CAPID) based on knowledge in MFBS frame is developed, including design of system framework, detailed flowchart of each module. And the system is applied to the multi-rope diamond wire saw.
In summary, key technologies of computer-aided innovation design based on knowledge in MFBS frame are studied. Using advantages of modular design in reducing product design solution space for reference, key technologies are studied, including design knowledge model, design knowledge representation and updating mechanism, and design knowledge retrieval and inference. The product life cycle assessment properties are considered at design scheme generation stage. Design schemes are generated by genetic evolution in order to achieve the sustainable computer aided intelligent innovation design system based on knowledge. makes The knowledge system is open by design knowledge updating based on similarity matching of ontology semantic block. Design scheme generation with evolutionary technology makes innovation design process open. It is not only based on the actual demands of sustainable application, computer aided innovation design based on knowledge in MFBS frame, but also offer ways to realize product open innovation design. So, it has important theoretical significance and practical application value.
本文在系统地综述了计算机辅助创新设计理论、方法与关键技术研究现状的基础上,提出了模块—功能—行为—结构(Modular-Function-Behavior-Structure, MFBS)框架下基于知识的计算机辅助创新设计关键技术研究。研究设计知识的建模、设计知识的更新、基于本体映射的产品创新设计、设计方案自动生成等关键技术,通过实例验证了MFBS框架下基于知识的计算机辅助创新设计关键技术实现方法的正确性。本文的主要工作有：
(1)随着产品结构趋向复杂化,功能趋向集成化和复合化,采用功能—行为—结构(Function-Behavior-Structure,FBS)设计过程模型,组合各分功能的结构形成产品整体设计方案时,容易出现“组合爆炸”问题。借鉴模块化设计在缩小产品设计求解空间方面的优势,提出了MFBS的产品设计过程模型。综合考虑客户需求与产品功能元之间的相关性,功能元之间的流相关性和技术进化时功能元之间的相关性,构造功能矩阵,研究了基于模糊动态聚类的功能模块划分方法。以MFBS设计知识的表达为基础,建立了产品设计知识的MFBS本体表达模型和产品设计知识系统。
(2)基于元素级的本体匹配方法、基于概念结构的本体匹配方法都考虑了本体概念语义中的一部分。基于多策略的本体匹配方法也只是把概念自身的语义和概念间的层次结构以加权的形式进行简单地组合。综合利用本体概念自身的语义和概念间的层次结构,提出了基于本体语义块相似性匹配的设计知识更新方法。通过Jena提供的元素提取方法提取OWL文件中的本体元素,采用基于元素级、基于结构级的方法,获得匹配概念对和待匹配概念对；利用本体概念自身的语义信息和本体概念间的层次结构信息,建立概念的语义块；计算概念语义块相似度,判定待匹配概念对的匹配关系,实现改计知识的更新。
(3)针对现有的知识检索与推理方法,在以知识间语义关系为主的创新设计方面的不足,采用分层递进的本体映射策略,系统地研究Jena(?)编程实现MFBS本体知识检索与映射推理算法,进行基于知识的产品设计。引入本体概念的变型空间理论,提出了基于变型空间本体映射的产品创新设计方法,提高以产品设计知识间的语义关系为主的产品创新改计能力。
(4)在产品设计方案生成阶段考虑结构的全生命周期评价属性,建立结构的全生命周期评价基因模型。构造面向全生命周期评价的适应度函数,采用选择、交叉、变导等遗传操作并设计遗传操作算法，实现基于结构全生命周期评价基因模型的功能模块设计方案的自动生成。更好地体现设计方案的全生命周期评价属性,提高设计方案生成的效率。根据功能结构图,组合各功能模块形成产品的整体设计方案。
最后,在关键技术研究基础上,开发MFBS框架下基于知识的计算机辅助产品创新设计系统(Computer Aided Product Innovation Design, CAPID),包括系统框架设计、各模块详细流程,并针对多绳金刚石串珠绳锯设计进行应用研究。
综上所述,本文提出MFBS框架下基于知识的计算机辅助创新设计关键技术研究。借鉴模块化设设在缩小产品设计求解的空间方面的优势,研究了产品的设计知识模型,设计知识的表示与更新机制,设计知识的检索与推理技术；在产品设计方案生成阶段就考虑结构的全生命周期评价属性,利用进化技术实现设计方案自动生成,以期获得可持续应用、基于知识的计算机辅助新设计系统。由于采用基于语义块相似语义块相似性匹配的设计知知更新方法,知识系统具有开放性。同时利用进化技术实现设计方案的自动生成,创新过程具有开放性。本课题的研究既立足于可持续应用、MFBS框架下基于知识的计算机辅助产品创新设计的实际需求,又为基于知识的的产品开放式创新设计提供实现途径,具有重要的理论研究意义和实际应用价值。
In the21st century, the economic development shows information and knowledgement characteristic. The knowledge increment in product design process has become a decisive factor to affect the competitiveness of new product. Knowledge-based design method has become an important high technology to realize design and manufacture automation, enhance the enterprises competitiveness. Innovation is the essence and soul of product design. At the product design stage, the product function solving process is the most innovative. At present, more and more knowledge are needed in the development and design of new products, which involves constantly changing knowledge resources in different areas. Design knowledge acquisition, representation and application are key technologies in computer aided innovation design. It is an important way to improve the innovation capability and core competitiveness of China's manufacturing enterprises. And it is also accord with the priority theme of "methods and techniques of intelligent innovation design" in "digital and intelligent design and manufacturing" of "Outline of the National Program for Long and Medium Term Scientific and Technological Development (2006～2020)".
Research status of theory, methods and key technologies of computer-aided innovation design are systematically reviewed. Research on key technologies of computer aided innovation design based on knowledge in Modular-Function-Behavior-Structure (MFBS) frame is proposed, including knowledge modeling, design knowledge updating, product innovation design based on ontology matching, design scheme generating. Examples are given to verify the correctness of key technologies of computer aided innovation design in MFBS frame. The main contents are as follows:
(1) The product structure tends to be complicate and the product function tends to be integrated and composite. Based on function-behavior-structural design process model, it is easy to generate large number of redundant design schemes and prone to raise the "combinatorial explosion" problem. Using advantages of modular design in reducing product design solution space for reference, the MFBS product design process model is proposed. Through comprehensively considering the correlation between customer needs and product function elements, flow correlation between product function elements and the technical correlation between product function elements with technological evolution, function correlation matrix is established. The dynamic module partition based on fuzzy dynamic clustering is researched. The knowledge expression of MFBS design process is studied. The MFBS ontology expression model of product design knowledge and product design knowledge system is established.
(2) The part of ontology concept semantics is considered by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantics and concept hierarchy structure are simply weighted combined in multi strategy based ontology matching. The ontology matching method is studied by synthetically considering the concept semantics and concept hierarchy structure. The design knowledge updating method is proposed based on similarity matching of ontology semantic block. The ontology elements are extracted by Jena element extraction methods from OWL files. Matching concept pairs and to be matched concept pairs are acquired by ontology matching based on ontology element, ontology matching based on concept hierarchy structure. The concept semantic block is established by using semantic information and structure information of the ontology. Similarity of concept semantic block is calculated to determine matching relationships and update the design knowledge.
(3) The existing knowledge retrieval and inference methods have disadvantages in product innovation design based on semantic relationships between knowledge. Based on layer progressive ontology matching strategy, MFBS design process model, the MFBS ontology knowledge retrieval and matching reasoning algorithms are systematically studied with Jena programming for product design. Variant space theory is introduced to ontology concept. Variant space ontology matching based product innovation design is put forward to improve innovation design ability on broad semantic relationships between product design knowledge.
(4) The full life cycle assessment properties of structure are considered at design scheme generation stage. The gene model of full life cycle assessment properties of structure is established. The fitness function is constructed for life cycle assessment of structure. The genetic operators are used, such as select, across and mutate. Genetic operation algorithms are designed to automatically generate product function module design schemes, realizing life cycle assessment properties of design schemes, improving the efficiency of product design generation. According to the function structure diagram, functional modules are combined to form the overall product design.
Finally, based on researches of key technologies, the computer aided product innovation design system (CAPID) based on knowledge in MFBS frame is developed, including design of system framework, detailed flowchart of each module. And the system is applied to the multi-rope diamond wire saw.
In summary, key technologies of computer-aided innovation design based on knowledge in MFBS frame are studied. Using advantages of modular design in reducing product design solution space for reference, key technologies are studied, including design knowledge model, design knowledge representation and updating mechanism, and design knowledge retrieval and inference. The product life cycle assessment properties are considered at design scheme generation stage. Design schemes are generated by genetic evolution in order to achieve the sustainable computer aided intelligent innovation design system based on knowledge. makes The knowledge system is open by design knowledge updating based on similarity matching of ontology semantic block. Design scheme generation with evolutionary technology makes innovation design process open. It is not only based on the actual demands of sustainable application, computer aided innovation design based on knowledge in MFBS frame, but also offer ways to realize product open innovation design. So, it has important theoretical significance and practical application value.
引文
[1]马俊如.科技进步与经济发展[J].中国机械工程,2001,12(1)：1-4.
[2]朱上上,潘云鹤,罗仕鉴,等.基于知识的产品创新设计技术研究[J].中国机械工程,2002,13(4)：337-340.
[3]谢友柏.现代设计理论和方法的研究[J].机械工程学报,2004,40(4)：1-9.
[4]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社,2007.
[5]Rui P. Fernandes, Ian R. Grosse, Sundar Krishnamurty, et al. Semantic methods supporting engineering design innovation[J]. Advanced Engineering Informatics, 2011,25(2):185-192.
[6]Jing Xu, Remy Houssin, Alain Bernard, et al. Systemic modeling of knowledge for innovation in design[J]. CIRP Journal of Manufacturing Science and Technology,2013,6(1):1-12.
[7]Pahl G. Beitz W. Engineering Design-A Systematic Approach(2nd Edition)[M]. London:Springer-Vedag,2000.
[8]Suh N P. The Principles of Design[M]. New York:Oxford University Press,1999.
[9]Genrich Altshuller. The Innovation Algorithm TRIZ, Systematic Innovation and Technical Creativity[M]. Worcester:Technical Innovation Center,INC,1999.
[10]TOMIYAMA T. General Design Theory and Its Extension and Application in Universal Design Theory[M]. Aachen:Shaker Verlag Press,1998.
[11]童时中.模块化设计原理、方法及应用[M].北京：中国标准出版社,2000.
[12]Agard Bruno, Bassetto, Samuel. Modular design of product families for quality and cost[J]. International Journal of Production Research,2013,51(6):1648-1667.
[13]高卫国,徐燕申,陈永亮,等.广义模块化设计原理及方法[J].机械工程学报,2007,43(6)：48-54.
[14]Yasushi Umeda, Shinichi Fukushige, Keita Tonoike, et al. Product modularity for life cycle design[J]. CIRP Annals-Manufacturing Technology,2008,57(1):13-16.
[15]肖人彬,周济,查建中.智能设计：概念、发展与实践[J].中国机械工程,1997,8(2)：77-76.
[16]Suiran Yu, Qingyan Yang, Jing Tao, et al. Product modular design incorporating life cycle issues-Group Genetic Algorithm (GGA) based method[J]. Journal of Cleaner Production,2011,19(9-10):1016-1032.
[17]Shih-Wen Hsiao, Fu-Yuan Chiu, Shu-Hong Lu. Product-form design model based on genetic algorithms[J]. International Journal of Industrial Ergonomics. 2010,40(3):237-246.
[18]李彦,李翔龙,赵武,等.融合认知心理学的产品创新设计方法研究[J].计算机集成制造系统,2005,11(9)：1201-1217.
[19]Rong-Tsu Wang, Chieh-Peng Lin. Understanding innovation performance and its antecedents:A socio-cognitive model[J]. J. Eng. Technol. Manage,2012,29 (2):210-225.
[20]Ali E. Akgun, Gary S. Lynn, Cengiz Ynlmaz. Learning process in new product development teams and effects on product success:A socio-cognitive perspective[J]. Industrial Marketing Management,2006,35(2):210-224.
[21]Jason R.Rich. Brain storm:Tap into your creativity to generate awesome ideas and remarkable results[M]. Franklin Lakes:Career Press,2003.
[22]Edward de BONO. Serious creativity:Using the power of lateral thinking to create new ideas[M]. London,U.K.:Ebury Press,2011.
[23]S R Gorti, A Gupta, G J Kim, el al. An object-oriented representation for product and design processes[J]. Computer-Aided Design,1998,30(7):489-501.
|24| Alexander Y. Yap, Ojelanki Ngwenyama, Kwcku-Muata Osei-Bryson. Leveraging knowledge representation, usage, and interpretation to help reengineer the product development life cycle:visual computing and the tacit dimensions of product development[J]. Computer in industry,2003,51 (1):89-110.
[25]Senthil K. Chandrasegaran, Karthik Ramani, et al. The evolution, challenges, and future of knowledge representation in product design systems[J]. Computer-Aided Design,2013,45(3):204-228.
[26]K.K.B. Hon, J. Zeiner. Knowledge brokering for assisting the generation of automotive product design[J]. CIRP Annals-Manufacturing Technology,2004, 53(1):159-162.
[27]Masaaki Kotabe, Crystal Xiangwen Jiang, Janet Y Murray. Managerial ties, knowledge acquisition, realized absorptive capacity and new product market performance of emerging multinational companies:A case of China[J]. Journal of World Business,2011,46(2):166-176.
[28]赵锋,何卫平,秦忠宝,等.面向产品创新设计的广义专家群体知识获取[J],计算机集成制造系统,2009,1 5(9)：1684-1689.
[29]Zhang W Y, Tor S B, Britton G A, et al. EFDEX:A knowledge-based expert system for functional design of engineering systems[J]. Engineering with Computers,2001,17(4):339-35.
[30]Yuan Guo, Jie Hu, Yinghong Peng. A CBR system for injection mould design based on ontology:A case study[J]. Computer-Aided Design.2012,44(6):496-508.
[31]张晓丽,李鑫,郭智春,等.基于CBR的机械产品智能设计方法研究[J].大连理工大学学报,2008,48(6)：835-840.
[32]Min Soo Suh, Won Chul Jhee, Young Kwan Ko, et al. A Case-based Expert System Approach for Quality Design[J]. Expert Systems with Applocaitons. 1998,15(2):181-190.
[33]C-B Cheng. A Fuzzy Inference System for Similarity Assessment in Case-Based Reasoning Systems:An Application to Product Design[J]. Mathematical and Computer Modelling,2003,38(3-4):385-394.
[34]曹国忠,郭海霞,檀润华,等.面向功能创新的功能进化、组合与失效研究[J].机械工程学报,2012,48(11)：29-38.
[35]Shana Smith, Gregory Smith, Ying-Ting Shen. Redesign for product innovation[J]. Design Studies,2012,33(2):160-184.
[36]Wenqiang Li, Yan Li, Jian Wang, et al. The process model to aid innovation of products conceptual design[J]. Expert Systems with Applications,2010,37 (5):3574-3587.
[37]王玉新,张旭光,毛晓辉.FBS模型中行为与结构创新的商空间表达与实现[J].机械工程学报,2010,46(15)：107-116.
[38]张建明,王建维,魏小鹏.基于因果行为模型的机械运动系统方案求解[J].计算机集成制造系统,2007,1 3(11)：2086-2091.
[39]冯毅雄,宋轩,谭建荣,等.基于K-WFA的机械产品运动方案设计求解[J].浙江大学学报(工学版),2012,46(3)：515-523.
[40]Kai Wang, Akio Takahashi. Semantic Web based innovative design knowledge modeling for collaborative design[J]. Expert Systems with Applications, 2012,39(5):5616-5624.
[41]Soon Chong Johnson Lim, Ying Liu, Wing Bun Lee. A methodology for building a semantically annotated multi-faceted ontology for product family modelling[J]. Advanced Engineering Informatics,2011,25(2):147-161.
[42]冯培恩,张帅,陈泳，等.复合助能原理方案特征建模及其求解过程研究[J].中国机械工程,2002,13(4)：306-311.
[43]李长江.基于效应建模的概念设计自动化关键技术研究[D].山东大学博士学位论文,2008.
[44]马涛,李彦,刘小莹.等.基于ontology(?)技术构建科学效应知识库[J].计算机应用研究.2009,26(9)：3399-3402.
[45]曹国忠,檀润华,孙建广.基于扩展效应模型的功能设计过程及实现[J].机械工程学报,2009,45(7)：157-166.
[46]邹慧君,张青.计算机辅助机械产品概念设计中几个关键问题[J].上海交通大学学报,2005,39(7)：1145-1154.
[47]陈旭玲,楼佩煌，唐敦兵,等.概念设计中功能驱动的消化吸收再创新研究[J].计算机集成制造系统,2009,15(10)：1873-1879.
[48]Thorn J. van Beck, Mustafa S. Erden, Tetsuo Tomiyama. Modular design of mechatronic systems with function modeling[J]. Mechatronics.2010,20 (8):850-863.
[49]J.C. Wu, K. Poppa, M.C. Leu, et al. Integrated function structure and object-oriented design framework [J]. Computers in Industry,2012,63(5):458-470.
[50]毛晓辉.功能—结构双向创新中功能分解与行为一致性问题研究[D].浙江大学硕士学位论文,2010.
[51]H. H. Tang, Y. Y. Lee, J. S. Gero. Comparing collaborative co-located and distributed design processes in digital and traditional sketching environments:A protocol study using the function-behaviour-structure coding schemc[J]. Design Studies,2011,32(1):1-29.
[52]张执南,谢友柏.采用状态空间模型的产品设计行为预测[J].西安交通大学学报,2010,45(1)：54-57.
[53]樊帆,李彦,李文强.基于FBS的设计知识组织与应用策略研究[J].机械设计,2012,29(10)：9-14.
[54]叶志刚,邹慧君.概念设计中的F-B-S-E模型和作用流方法[J].机械设计与研究,2002,18(4)：10-21.
[55]Sattiraju Prabhakar, Ashok K Goel. Functional modeling for enabling adaptive design of devices for new environments[J]. Artifical Intelligence in Engineering, 1998,12(4):417-444.
[56]曹国忠,檀润华.面向可持续性创新的功能设计理论研究与实现[J].数字制造科学,2008,6(3)：1-31.
[57]Chih-Hsing Chu, Yuan-Ping Luh, Tze-Chang Li, et al. Economical green product design based on simplified computer-aided product structure variation[J]. Computers in Industry,2009,60(7):485-500.
[58]DengY M, Tor S B, Britton G A. Abstracting and exploring functional design information for conceptual mechanical product design[J]. Engineering with Computers,2000,16(1):36-52
[59]Deng Y M, Tor S B, Britton G A. A dual-stage functional modeling framework with multi-level design knowledge for con-ceptual mechanical design[J]. Journal of Engineering Design,2000,11(4):347-375.
[60]Ahmed Al-Ashaab, M. Molyneaux, A. Doultsinou. Knowledge-based environment to support product design validation[J]. Knowledge-Based Systems,2012, 26:48-60.
[61]李彦,王杰,李翔龙,等.创造性思维及计算机辅助产品创新设计研究[J].计算机集成制造系统,2003,9(12)：1092-1093.
[62]曾令卫,邓家褆.CPC环境下产品概念设计集成知识模型的研究[J].北京航空航天大学学报,2003,29(1)：63-66.
[63]罗仕鉴,朱上上,孙守迁.基于集成化知识的产品概念设计技术研究[J].计算机辅助设计与图形学学报,2004,16(3)：261-266.
[64]Carlos Alberto Costa, Marcos Alexandre Luciano, Celson Pantoja Lima, et al. Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning[J]. Advanced Engineering Informatics, 2012,26(2):292-305.
[65]N. Janthong, D. Brissaud, S. Butdee. Combining axiomatic design and case-based reasoning in an innovative design methodology of mechatronics products[J]. CIRP Journal of Manufacturing Science and Technology,2010,2(4):226-239.
[66]邹慧君,汪利,王石刚,等.计算机辅助的机构运动行为知识表示及推理[J].机械设计,1999,(1)：9-47.
[67]徐荣华,唐敦兵,朱仁淼.基于功能本体的再创新设计策略研究[J].工程设计学报,2009,16(6)：395-420.
[68]Hui Wang, Yiming (Kevin) Rong. Case based reasoning method for computer aided welding fixture design[J]. Computer Aided Design,2008,40(12):1121-1132.
[69]丁华，杨兆建,姚晶.采煤机概念设计的知识表示与知识推理[J].机械设计与制造，2011,(6)：216-218.
[70]John S. Gero, Hsien-Hui Tang. The differences between retrospective and concurrent protocols in revealing the process-oriented aspects of the design process[J]. Design Studies,2001,22(3):283-295.
[71]John S. Gero, Udo Kannengiesser. The situated function-behaviour-structure framework[J]. Design Studies,2004,25(4):373-391.
[72]M.A. Rosenman. An exploration into evolutionary for non-routine design[J]. Artificial Intelligence in Engineering,1997,11(3):287-293.
[73]尚勇,张清萍,黄克正,等.基于功能表面的概念设计产品模型研究[J].中国机械工程,2007,18(3)：320-323.
[74]米洁.智能产品模型的数据组织结构研究与应用[J].现代制造工程,2012,(4)：124-127.
[75]李中凯,谭建荣,冯毅雄.基于混合协同进化算法可调节产品族优化设计[J].计算机集成制造系统,2008,14(8)：1 475-1465.
[76]邹纯稳,张树有,来建良.基于知识驱动的产品设计过程建模及应用研究[J].中国机械工程,2008,19(8)：939-944.
[77]侯鑫.基于本体的设计重用技术研究及其在CAFD中的应用[D].哈尔滨工业大学博士学位论文,2010.
[78]郝博，王立新,王雷.一种基于知识进化的多层次结构产·品整体方案创新设计方法[J].计算机应用研究,2005,(10)：30-32.
[79]Invention Machine Corporation, http://inventionmachine.com/default.aspx
[80]Ideation International Inc.http://www.ideationtriz.com
[81]A. Garcia-Crespo, B. Ruiz-Mezcua, J.L. Lopez-Cuadrado, et al. Conceptual model for semantic representation of industrial manufacturing processes[J]. Computers in Industry,2010.61 (7):595-612.
[82]罗成对,冯毅雄,谭建荣,等.基于语义1ROMETHEE(?)的产品设计方案群体多准则求解[J].浙江大学学报(工学版),2012,46(3)：524-532.
[83]Joseph H.M. Tah, Henry F. Abanda. Sustainable building technology knowledge representation:Using Semantic Web techniques[J]. Advanced Engineering Informatics,2011,25(3):547-558.
[84]姜亮,基于语义网技术的机械设计方法和技术研究[D].大连理工大学博士学 位论文,2009.
[85]Jingchang Shangguan, Yan Yan, Haitao Liu, et al. Role Assignment and Cooperation of Ontology and Object-Oriented Principle in Construction of Digital Product Model[J]. Tsinghua Science & Technology,2009,14(1):71-76.
[86]马永昌,何玉林,代荣.摩托车智能设计系统的研究与开发[J].计算机仿真,2010,27(7)：276-280,325.
[87]伍丽峰,陈岳坪,聂小东.基于面向对象和数据库技术的机床选择专家系统[J].机械设计与制造,2011,(10)：71-73.
[88]杨俊臣,汪文虎,周桐.精铸模具模架设计知识重用方法研究[J].现代制造工程,2010,(10)：81-84.
[89]Keyvan Rahmani, Vincent Thomson. Ontology based interface design and control methodology for collaborative product development[J]. Computer Aided Design,2012,44(5):432-444.
[90]Dongxing Cao, M W Fu. Port-based ontology modeling to support product conceptualization[J]. Robotics and Computer-Integrated Manufacturing, 2011,27(3):646-656.
[91]Marcela Vegetti, Horacio Leone, Gabriela Henning. PRONTO:An ontology for comprehensive and consistent representation of product information[J]. Engineering Applications of Artificial Intelligence,2011,24(8):1305-1327.
[92]张冬明,牛占文,赵楠,等.基于本体的产品设计知识表示方法[J].计算机应用,2012,32(1)：206-209,217.
[93]王有远,王发麟,乐承毅,等.基于本体的多设计团队协同产品设计知识建模[J].中国机械工程,2012,23(22)：2720-2725.
[94]席文奎,韩勇,尹雪芹,等.基于本体的复杂产品协同设计知识库建设及验证[J].西安交通大学学报,2010,44(3)：72-76,94.
[95]侯亮,唐任仲,徐燕申.机械产品柔性模块化设计知识库系统的研究[J].浙江大学学报(工学版),2004,38(1)：44-47.
[96]Per Galle. The ontology of Gero's FBS model of designing[J]. Design Studies,2009,30(4):321-339.
[97]Sheng Li, Jie Hu, Ying-Hong Peng. Representation of functional micro-knowledge cell (FMKC) for conceptual design [J]. Engineering Applications of Artificial Intelligence,2010,23(4):569-585.
[98]F.Christophe, A.Bernard, E.Coatanea. RFBS:A model for knowledge representation of conceptual design[J]. CIRP Annals-Manufacturing Technology.2010,59(1):155-158.
[99]Yee Leung, Wei-Zhi Wu, Wen-Xiu Zhang. Knowledge acquisition in incomplete information systems:A rough set approach[J]. European Journal of Operational Research,2006,168(1):164-180.
[100]Liu Daohua, Yuan Siconga, Zhang Xiaolonga, et al. Research on knowledge acquisition method about the IF/THEN rules based on rough set theory[J]. Journal of Systems Engineering and Electronics,2008,19(3):628-635.
[101]Lin Feng, Tianrui Li, Da Ruan, et al. A vague-rough set approach for uncertain knowledge acquisition[J]. Knowledge-Based Systems,2011,24(6):837-843.
[102]谷建光,张为华,解红雨.实例与经验相结合的产品设计知识获取技术[J].计算机集成制造系统,2008,14(3)：417-424.
[103]楼轶超.跨领域异构产品模型语义集成的若于基础问题研究[D].浙江大学博士学位论文,2009.
[104]Trong Hai Duong, Geun Sik Jo. Enhancing performance and accuracy of ontology integration by propagating priorly matchable concepts[J]. Neurocomputing, 2012,88:3-12.
[105]Sivan Albagli, Rachel Ben-Eliyahu-Zohary, Solomon E. Shimony. Markov network based ontology matching[J]. Journal of Computer and System Sciences,2012.78(1):105-118.
[106]M. Rubiolo, M.L. Caliusco, G. Stegmayer, et al. Knowledge discovery through ontology matching:An approach based on an Artificial Neural Network model[J]. Information Sciences,2012,194(1):107-119.
[107]刘秀磊,廖建新,朱晓民，等.本体匹配中基于词义组合的词法分析算法[J].电子学报,2012,40(8)：1624-1360.
[108]秦鹏.基于WordNet的本体匹配关键技术研究与实现[D].华东师范大学硕士学位论文,2009.
[109]Wei Hu, Yuzhong Qu, Gong Cheng. Matching large ontologies:A divide-and-conquer approach[J]. Data & Knowledge Engineering,2008,67 (1):140-160
[110]l欧阳军.改进的基于实例本体匹配算法研究[D].中山大学硕士学位论文,2010.
[111]王颖.Top-k本体匹配方法[D].哈尔滨工程大学硕士学位论文,2006.
[112]Giuseppe Pirro, Domenico Talia. UFOme:An ontology mapping system with strategy prediction capabilities[J]. Data & Knowledge Engineering,2010,69(5): 444-471.
[113]Hacene Belhadefa. A new bidirectional method for ontologies matching[J]. Procedia Engineering,2011,23:558-564.
[114]张建明,魏小鹏,滕弘飞.基于知识的机械产品概念设计启发式求解[J].中国机械工程,2006,17(13)：1411-1416.
[115]屠立,张树有,陆长明.基于知识模板的复杂产品设计重用方法研究[J].计算机集成制造系统,2009,15(6)：1041-1048.
[116]冯毅雄,谭建荣,魏喆.基于知识进化的产品可重用设计方法[J].浙江大学学报(工学版),2008,42(6)：909-912.
[117]Oscar Cordona, Maria Jose del Jesusb, Francisco Herrera. A proposal on reasoning methods in fuzzy rule-based classification systems [J]. International Journal of Approximate Reasoning,1999,20(1):21-45.
[118]Muh-Cherng Wu, Ying-Fu Lo, Shang-Hwa Hsu. A fuzzy CBR technique for generating product ideas[J]. Expert Systems with Applications,2008, 34(1):530-540.
[119]Susan Craw, Nirmalie Wiratunga, Ray C. Rowe. Learning adaptation knowledge to improve case-based reasoning[J]. Artificial Intelligence.2006,170(16-17): 1175-1192.
[120]Sabum Jung, Taesoo Lim, Dongsoo Kim. Integrating radial basis function networks with case-based reasoning for product design[J]. Expert Systems with Applications.2009,36(3):5695-5701.
[121]金博.面向专利和零部件的设计知识检索方法[D].大连理工大学博士学位论文,2009.
[122]陈磊,潘翔,叶修梓,等.基于本体的产品知识表达和检索技术研究[J].浙江大学学报(工学版),2008,42(12)：2037-2042.
[123]Yuh-Jen Chen. Development of a method for ontology-based empirical knowledge representation and reasoning[J]. Decision Support Systems.2010,50(1):1-20.
[124]毕鲁雁,焦宗夏,范圣韬.基于本体映射的设计知识库搜索方法[J].计算机集成制造系统,2009,15(10)：1890-1899
[125]张立,何艳娟,崔浩,等.一种基于语义推理的多智能体协同功能设汁框架[J].后勤工程学院学报,2009,25(6)：59-64.
[126]P. Gu, S. Sosale. Product modularization for life cycle engineering[J]. Robotics and Computer Integrated Manufacturing,1999,15(5):387-401.
[127]Sa'ed M.Salhieh, Ali K.Kamrani. Macro level product development using design for modularity[J]. Robitics anad Computer Integegrated Manufacturing, 1999,15(4):319-329.
[128]Hwai-En Tseng, Chien-Chen Chang, Jia-Diann, Li. Modular design to support green life-cycle engineering[J]. Expert Systems with Application,2008, 34(4):2524-2537.
[129]吕利勇，乔立红，王田苗.面向产品生命周期的产品模块化分解方法研究[J].计算机集成制造系统,2006,12(4)：546-551.
[130]周开俊,李东波,童一飞,面向产品创新设计的功能模块划分方法[J].计算机辅助设计与图形学学报,2007,19(1)：73-83.
[131]Robert B. Stone, Kristin L. Wood, Richard H. Crawford. A heuristic method for identifying modules for product architectures[J]. Design Studies,2000,21(1):5-31.
[132]Fei Gao, Gang Xiao, Timothy Simpson. Identifying functional modules using generalized directed graphs:Definition and application[J]. Computer in Industry, 2010,61(3):260-269.
[133]Tomoatsu Shibata. Product innovation through module dynamics:a case study[J]. J.Eng.Tcchnol.Manage,2009,26(1-2):46-56.
[134]Pamela D Morrison, John H Roberts. David F. Midgley. The nature of lead users and measurement of leading edge status[J]. Research Policy,2004,33(2):351-362.
[135]檀润华，苑彩云,张瑞红,等.基于技术进化的产品设计过程研究[J].机械工程学报,2002,38(12)：60-65.
[136]张建辉，檀润华，杨伯军,等.产品技术进化潜力预测研究[J].工程设计学报，2008,15(3)：157-163.
[137]Hirtz Julie, Stone Robert B, McAdams Daniel A, et al. A Functional Basis for Engineering Design:Reconciling and Evolving Previous Efforts[J]. Research in Engineering Design,2002,13(2):65-82.
[138]http://protege.stanford.edu/download/download.html
[139]张悦,凌兴宏,姚望舒.基于改进相似度传播算法的本体匹配[J].计算机应 用,2011,31(9):2432-2435.
[140]Paul Buitelaar, Philipp Cimiano, Anette Frank, et al. Ontology-based information extraction and integration from heterogeneous data sources[J]. International Journal of Human-Computer Studies,2008,66(11):759-788.
[141]Noriaki Izumi, Takahira Yamaguchi. Integration of heterogeneous repositories based on ontologies for EC applications development[J]. Electronic Commerce Research and Applications,2002,1(1):77-91.
[142]Amarnath Gupta, Christopher Condit, Xufei Qian. BioDB:An ontology-enhanced information system for heterogeneous biological information[J]. Data & Knowledge Engineering,10,69(11):1084-1102.
[143]http://jena.apache.org
[144]Levensthtein V I. Binary Codes Capable of Correcting Deletions, Insertions, and Reversals[J]. Cybernetics and Control Theory,1966,10(8):707-710.
[145]Gal Avigdor. Managing Uncertainty in Schema Matching with Top-k schema Mappings[J]. Journal on Data Semantics,2006,40(6),99-101.
[146]王颖,刘群,张冰.基于Top-k映射的本体匹配方法[J].计算机工程,2008,34(15)：57-59.
[147]David Baxter, James Gao, Keith Case, et al. A framework to integrate design knowledge reuse and requirements management in engineering design [J]. Robotics and Computer-Integrated Manufacturing,2008,24(4):585-593.
[148]Linden J. Ball, Nicki J. Lambell, Thomas C. Ormerod Simon Slavin, et al. Representing design rationale to support innovative design reuse:a minimalist approach[J]. Automation in Construction.2001,10(6):663-674.
[149]Bo Jin, Hong-Fei Teng, Yi-sou Wang, et al. Product design reuse with parts libraries and an engineering semantic web for small-and medium-sized manufacturing enterprises[J]. International Journal of Advanced Manufacturing Technology,2008,38(11-12):1075-1084.
[150]Carlos Alberto Costa, Marcos Alexandre Luciano, Celson Pantoja Lima, et al. Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning[J]. Advanced Engineering Informatics, 2012,26(2):292-305.
[151]Tessa Lau, Steven A. Wolfman, Pedro Domingos, et al. Programming by demonstration using version space algebra[J]. Machine Learning,2003, 53(1-2):111-156
[152]Gabor Renner, Aniko Ekart. Genetic algorithms in computer aided design[J]. Computer-Aided Design,2003,35(8):709-726.
[153]黄洪钟,赵正佳，关立文.基于遗传算法的方案智能优化设计[J].计算机辅助设计与图形学学报，2002,14(5)：1-5.
[154]邹慧君,高峰.机械系统概念设计[M].北京：机械工业出版社,2003.
[155]M. Hauschild, J. Jeswiet, L. Alting. From Life Cycle Assessment to Sustainable Production:Status and Perspectives[J]. CIRP Annals-Manufacturing Technology, 2005,54(2):1-21.
[156]王明强，王宁生,赵良才，等.面向协同设计的机械产品全生命周期综合评价研究[J].机械科学与技术,2005,24(10)：1241-1246.
[157]Shana Smith, Chao-Ching Yen. Green product design through product modularization using atomic theory[J]. Robotics and Computer-Integrated Manufacturing,10.26(6):790-798.
[158]Ji-Hyun Lee, Ming-Luen Chang. Stimulating designers'creativity based on a creative evolutionary system and collective intelligence in product design[J]. International Journal of Industrial Ergonomics,2010,40(2):295-305.
[159]麻广林,李彦,黄振勇,等.进化驱动型产品创新设计方法研究[J].计算机集成制造系统，2009,15(5)：849-856.
[160]雷英杰，张善文.MATLAB遗传算法工具箱及应用[M].西安：西安电子科技大学出版社，2005.
[2]朱上上,潘云鹤,罗仕鉴,等.基于知识的产品创新设计技术研究[J].中国机械工程,2002,13(4)：337-340.
[3]谢友柏.现代设计理论和方法的研究[J].机械工程学报,2004,40(4)：1-9.
[4]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社,2007.
[5]Rui P. Fernandes, Ian R. Grosse, Sundar Krishnamurty, et al. Semantic methods supporting engineering design innovation[J]. Advanced Engineering Informatics, 2011,25(2):185-192.
[6]Jing Xu, Remy Houssin, Alain Bernard, et al. Systemic modeling of knowledge for innovation in design[J]. CIRP Journal of Manufacturing Science and Technology,2013,6(1):1-12.
[7]Pahl G. Beitz W. Engineering Design-A Systematic Approach(2nd Edition)[M]. London:Springer-Vedag,2000.
[8]Suh N P. The Principles of Design[M]. New York:Oxford University Press,1999.
[9]Genrich Altshuller. The Innovation Algorithm TRIZ, Systematic Innovation and Technical Creativity[M]. Worcester:Technical Innovation Center,INC,1999.
[10]TOMIYAMA T. General Design Theory and Its Extension and Application in Universal Design Theory[M]. Aachen:Shaker Verlag Press,1998.
[11]童时中.模块化设计原理、方法及应用[M].北京：中国标准出版社,2000.
[12]Agard Bruno, Bassetto, Samuel. Modular design of product families for quality and cost[J]. International Journal of Production Research,2013,51(6):1648-1667.
[13]高卫国,徐燕申,陈永亮,等.广义模块化设计原理及方法[J].机械工程学报,2007,43(6)：48-54.
[14]Yasushi Umeda, Shinichi Fukushige, Keita Tonoike, et al. Product modularity for life cycle design[J]. CIRP Annals-Manufacturing Technology,2008,57(1):13-16.
[15]肖人彬,周济,查建中.智能设计：概念、发展与实践[J].中国机械工程,1997,8(2)：77-76.
[16]Suiran Yu, Qingyan Yang, Jing Tao, et al. Product modular design incorporating life cycle issues-Group Genetic Algorithm (GGA) based method[J]. Journal of Cleaner Production,2011,19(9-10):1016-1032.
[17]Shih-Wen Hsiao, Fu-Yuan Chiu, Shu-Hong Lu. Product-form design model based on genetic algorithms[J]. International Journal of Industrial Ergonomics. 2010,40(3):237-246.
[18]李彦,李翔龙,赵武,等.融合认知心理学的产品创新设计方法研究[J].计算机集成制造系统,2005,11(9)：1201-1217.
[19]Rong-Tsu Wang, Chieh-Peng Lin. Understanding innovation performance and its antecedents:A socio-cognitive model[J]. J. Eng. Technol. Manage,2012,29 (2):210-225.
[20]Ali E. Akgun, Gary S. Lynn, Cengiz Ynlmaz. Learning process in new product development teams and effects on product success:A socio-cognitive perspective[J]. Industrial Marketing Management,2006,35(2):210-224.
[21]Jason R.Rich. Brain storm:Tap into your creativity to generate awesome ideas and remarkable results[M]. Franklin Lakes:Career Press,2003.
[22]Edward de BONO. Serious creativity:Using the power of lateral thinking to create new ideas[M]. London,U.K.:Ebury Press,2011.
[23]S R Gorti, A Gupta, G J Kim, el al. An object-oriented representation for product and design processes[J]. Computer-Aided Design,1998,30(7):489-501.
|24| Alexander Y. Yap, Ojelanki Ngwenyama, Kwcku-Muata Osei-Bryson. Leveraging knowledge representation, usage, and interpretation to help reengineer the product development life cycle:visual computing and the tacit dimensions of product development[J]. Computer in industry,2003,51 (1):89-110.
[25]Senthil K. Chandrasegaran, Karthik Ramani, et al. The evolution, challenges, and future of knowledge representation in product design systems[J]. Computer-Aided Design,2013,45(3):204-228.
[26]K.K.B. Hon, J. Zeiner. Knowledge brokering for assisting the generation of automotive product design[J]. CIRP Annals-Manufacturing Technology,2004, 53(1):159-162.
[27]Masaaki Kotabe, Crystal Xiangwen Jiang, Janet Y Murray. Managerial ties, knowledge acquisition, realized absorptive capacity and new product market performance of emerging multinational companies:A case of China[J]. Journal of World Business,2011,46(2):166-176.
[28]赵锋,何卫平,秦忠宝,等.面向产品创新设计的广义专家群体知识获取[J],计算机集成制造系统,2009,1 5(9)：1684-1689.
[29]Zhang W Y, Tor S B, Britton G A, et al. EFDEX:A knowledge-based expert system for functional design of engineering systems[J]. Engineering with Computers,2001,17(4):339-35.
[30]Yuan Guo, Jie Hu, Yinghong Peng. A CBR system for injection mould design based on ontology:A case study[J]. Computer-Aided Design.2012,44(6):496-508.
[31]张晓丽,李鑫,郭智春,等.基于CBR的机械产品智能设计方法研究[J].大连理工大学学报,2008,48(6)：835-840.
[32]Min Soo Suh, Won Chul Jhee, Young Kwan Ko, et al. A Case-based Expert System Approach for Quality Design[J]. Expert Systems with Applocaitons. 1998,15(2):181-190.
[33]C-B Cheng. A Fuzzy Inference System for Similarity Assessment in Case-Based Reasoning Systems:An Application to Product Design[J]. Mathematical and Computer Modelling,2003,38(3-4):385-394.
[34]曹国忠,郭海霞,檀润华,等.面向功能创新的功能进化、组合与失效研究[J].机械工程学报,2012,48(11)：29-38.
[35]Shana Smith, Gregory Smith, Ying-Ting Shen. Redesign for product innovation[J]. Design Studies,2012,33(2):160-184.
[36]Wenqiang Li, Yan Li, Jian Wang, et al. The process model to aid innovation of products conceptual design[J]. Expert Systems with Applications,2010,37 (5):3574-3587.
[37]王玉新,张旭光,毛晓辉.FBS模型中行为与结构创新的商空间表达与实现[J].机械工程学报,2010,46(15)：107-116.
[38]张建明,王建维,魏小鹏.基于因果行为模型的机械运动系统方案求解[J].计算机集成制造系统,2007,1 3(11)：2086-2091.
[39]冯毅雄,宋轩,谭建荣,等.基于K-WFA的机械产品运动方案设计求解[J].浙江大学学报(工学版),2012,46(3)：515-523.
[40]Kai Wang, Akio Takahashi. Semantic Web based innovative design knowledge modeling for collaborative design[J]. Expert Systems with Applications, 2012,39(5):5616-5624.
[41]Soon Chong Johnson Lim, Ying Liu, Wing Bun Lee. A methodology for building a semantically annotated multi-faceted ontology for product family modelling[J]. Advanced Engineering Informatics,2011,25(2):147-161.
[42]冯培恩,张帅,陈泳，等.复合助能原理方案特征建模及其求解过程研究[J].中国机械工程,2002,13(4)：306-311.
[43]李长江.基于效应建模的概念设计自动化关键技术研究[D].山东大学博士学位论文,2008.
[44]马涛,李彦,刘小莹.等.基于ontology(?)技术构建科学效应知识库[J].计算机应用研究.2009,26(9)：3399-3402.
[45]曹国忠,檀润华,孙建广.基于扩展效应模型的功能设计过程及实现[J].机械工程学报,2009,45(7)：157-166.
[46]邹慧君,张青.计算机辅助机械产品概念设计中几个关键问题[J].上海交通大学学报,2005,39(7)：1145-1154.
[47]陈旭玲,楼佩煌，唐敦兵,等.概念设计中功能驱动的消化吸收再创新研究[J].计算机集成制造系统,2009,15(10)：1873-1879.
[48]Thorn J. van Beck, Mustafa S. Erden, Tetsuo Tomiyama. Modular design of mechatronic systems with function modeling[J]. Mechatronics.2010,20 (8):850-863.
[49]J.C. Wu, K. Poppa, M.C. Leu, et al. Integrated function structure and object-oriented design framework [J]. Computers in Industry,2012,63(5):458-470.
[50]毛晓辉.功能—结构双向创新中功能分解与行为一致性问题研究[D].浙江大学硕士学位论文,2010.
[51]H. H. Tang, Y. Y. Lee, J. S. Gero. Comparing collaborative co-located and distributed design processes in digital and traditional sketching environments:A protocol study using the function-behaviour-structure coding schemc[J]. Design Studies,2011,32(1):1-29.
[52]张执南,谢友柏.采用状态空间模型的产品设计行为预测[J].西安交通大学学报,2010,45(1)：54-57.
[53]樊帆,李彦,李文强.基于FBS的设计知识组织与应用策略研究[J].机械设计,2012,29(10)：9-14.
[54]叶志刚,邹慧君.概念设计中的F-B-S-E模型和作用流方法[J].机械设计与研究,2002,18(4)：10-21.
[55]Sattiraju Prabhakar, Ashok K Goel. Functional modeling for enabling adaptive design of devices for new environments[J]. Artifical Intelligence in Engineering, 1998,12(4):417-444.
[56]曹国忠,檀润华.面向可持续性创新的功能设计理论研究与实现[J].数字制造科学,2008,6(3)：1-31.
[57]Chih-Hsing Chu, Yuan-Ping Luh, Tze-Chang Li, et al. Economical green product design based on simplified computer-aided product structure variation[J]. Computers in Industry,2009,60(7):485-500.
[58]DengY M, Tor S B, Britton G A. Abstracting and exploring functional design information for conceptual mechanical product design[J]. Engineering with Computers,2000,16(1):36-52
[59]Deng Y M, Tor S B, Britton G A. A dual-stage functional modeling framework with multi-level design knowledge for con-ceptual mechanical design[J]. Journal of Engineering Design,2000,11(4):347-375.
[60]Ahmed Al-Ashaab, M. Molyneaux, A. Doultsinou. Knowledge-based environment to support product design validation[J]. Knowledge-Based Systems,2012, 26:48-60.
[61]李彦,王杰,李翔龙,等.创造性思维及计算机辅助产品创新设计研究[J].计算机集成制造系统,2003,9(12)：1092-1093.
[62]曾令卫,邓家褆.CPC环境下产品概念设计集成知识模型的研究[J].北京航空航天大学学报,2003,29(1)：63-66.
[63]罗仕鉴,朱上上,孙守迁.基于集成化知识的产品概念设计技术研究[J].计算机辅助设计与图形学学报,2004,16(3)：261-266.
[64]Carlos Alberto Costa, Marcos Alexandre Luciano, Celson Pantoja Lima, et al. Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning[J]. Advanced Engineering Informatics, 2012,26(2):292-305.
[65]N. Janthong, D. Brissaud, S. Butdee. Combining axiomatic design and case-based reasoning in an innovative design methodology of mechatronics products[J]. CIRP Journal of Manufacturing Science and Technology,2010,2(4):226-239.
[66]邹慧君,汪利,王石刚,等.计算机辅助的机构运动行为知识表示及推理[J].机械设计,1999,(1)：9-47.
[67]徐荣华,唐敦兵,朱仁淼.基于功能本体的再创新设计策略研究[J].工程设计学报,2009,16(6)：395-420.
[68]Hui Wang, Yiming (Kevin) Rong. Case based reasoning method for computer aided welding fixture design[J]. Computer Aided Design,2008,40(12):1121-1132.
[69]丁华，杨兆建,姚晶.采煤机概念设计的知识表示与知识推理[J].机械设计与制造，2011,(6)：216-218.
[70]John S. Gero, Hsien-Hui Tang. The differences between retrospective and concurrent protocols in revealing the process-oriented aspects of the design process[J]. Design Studies,2001,22(3):283-295.
[71]John S. Gero, Udo Kannengiesser. The situated function-behaviour-structure framework[J]. Design Studies,2004,25(4):373-391.
[72]M.A. Rosenman. An exploration into evolutionary for non-routine design[J]. Artificial Intelligence in Engineering,1997,11(3):287-293.
[73]尚勇,张清萍,黄克正,等.基于功能表面的概念设计产品模型研究[J].中国机械工程,2007,18(3)：320-323.
[74]米洁.智能产品模型的数据组织结构研究与应用[J].现代制造工程,2012,(4)：124-127.
[75]李中凯,谭建荣,冯毅雄.基于混合协同进化算法可调节产品族优化设计[J].计算机集成制造系统,2008,14(8)：1 475-1465.
[76]邹纯稳,张树有,来建良.基于知识驱动的产品设计过程建模及应用研究[J].中国机械工程,2008,19(8)：939-944.
[77]侯鑫.基于本体的设计重用技术研究及其在CAFD中的应用[D].哈尔滨工业大学博士学位论文,2010.
[78]郝博，王立新,王雷.一种基于知识进化的多层次结构产·品整体方案创新设计方法[J].计算机应用研究,2005,(10)：30-32.
[79]Invention Machine Corporation, http://inventionmachine.com/default.aspx
[80]Ideation International Inc.http://www.ideationtriz.com
[81]A. Garcia-Crespo, B. Ruiz-Mezcua, J.L. Lopez-Cuadrado, et al. Conceptual model for semantic representation of industrial manufacturing processes[J]. Computers in Industry,2010.61 (7):595-612.
[82]罗成对,冯毅雄,谭建荣,等.基于语义1ROMETHEE(?)的产品设计方案群体多准则求解[J].浙江大学学报(工学版),2012,46(3)：524-532.
[83]Joseph H.M. Tah, Henry F. Abanda. Sustainable building technology knowledge representation:Using Semantic Web techniques[J]. Advanced Engineering Informatics,2011,25(3):547-558.
[84]姜亮,基于语义网技术的机械设计方法和技术研究[D].大连理工大学博士学 位论文,2009.
[85]Jingchang Shangguan, Yan Yan, Haitao Liu, et al. Role Assignment and Cooperation of Ontology and Object-Oriented Principle in Construction of Digital Product Model[J]. Tsinghua Science & Technology,2009,14(1):71-76.
[86]马永昌,何玉林,代荣.摩托车智能设计系统的研究与开发[J].计算机仿真,2010,27(7)：276-280,325.
[87]伍丽峰,陈岳坪,聂小东.基于面向对象和数据库技术的机床选择专家系统[J].机械设计与制造,2011,(10)：71-73.
[88]杨俊臣,汪文虎,周桐.精铸模具模架设计知识重用方法研究[J].现代制造工程,2010,(10)：81-84.
[89]Keyvan Rahmani, Vincent Thomson. Ontology based interface design and control methodology for collaborative product development[J]. Computer Aided Design,2012,44(5):432-444.
[90]Dongxing Cao, M W Fu. Port-based ontology modeling to support product conceptualization[J]. Robotics and Computer-Integrated Manufacturing, 2011,27(3):646-656.
[91]Marcela Vegetti, Horacio Leone, Gabriela Henning. PRONTO:An ontology for comprehensive and consistent representation of product information[J]. Engineering Applications of Artificial Intelligence,2011,24(8):1305-1327.
[92]张冬明,牛占文,赵楠,等.基于本体的产品设计知识表示方法[J].计算机应用,2012,32(1)：206-209,217.
[93]王有远,王发麟,乐承毅,等.基于本体的多设计团队协同产品设计知识建模[J].中国机械工程,2012,23(22)：2720-2725.
[94]席文奎,韩勇,尹雪芹,等.基于本体的复杂产品协同设计知识库建设及验证[J].西安交通大学学报,2010,44(3)：72-76,94.
[95]侯亮,唐任仲,徐燕申.机械产品柔性模块化设计知识库系统的研究[J].浙江大学学报(工学版),2004,38(1)：44-47.
[96]Per Galle. The ontology of Gero's FBS model of designing[J]. Design Studies,2009,30(4):321-339.
[97]Sheng Li, Jie Hu, Ying-Hong Peng. Representation of functional micro-knowledge cell (FMKC) for conceptual design [J]. Engineering Applications of Artificial Intelligence,2010,23(4):569-585.
[98]F.Christophe, A.Bernard, E.Coatanea. RFBS:A model for knowledge representation of conceptual design[J]. CIRP Annals-Manufacturing Technology.2010,59(1):155-158.
[99]Yee Leung, Wei-Zhi Wu, Wen-Xiu Zhang. Knowledge acquisition in incomplete information systems:A rough set approach[J]. European Journal of Operational Research,2006,168(1):164-180.
[100]Liu Daohua, Yuan Siconga, Zhang Xiaolonga, et al. Research on knowledge acquisition method about the IF/THEN rules based on rough set theory[J]. Journal of Systems Engineering and Electronics,2008,19(3):628-635.
[101]Lin Feng, Tianrui Li, Da Ruan, et al. A vague-rough set approach for uncertain knowledge acquisition[J]. Knowledge-Based Systems,2011,24(6):837-843.
[102]谷建光,张为华,解红雨.实例与经验相结合的产品设计知识获取技术[J].计算机集成制造系统,2008,14(3)：417-424.
[103]楼轶超.跨领域异构产品模型语义集成的若于基础问题研究[D].浙江大学博士学位论文,2009.
[104]Trong Hai Duong, Geun Sik Jo. Enhancing performance and accuracy of ontology integration by propagating priorly matchable concepts[J]. Neurocomputing, 2012,88:3-12.
[105]Sivan Albagli, Rachel Ben-Eliyahu-Zohary, Solomon E. Shimony. Markov network based ontology matching[J]. Journal of Computer and System Sciences,2012.78(1):105-118.
[106]M. Rubiolo, M.L. Caliusco, G. Stegmayer, et al. Knowledge discovery through ontology matching:An approach based on an Artificial Neural Network model[J]. Information Sciences,2012,194(1):107-119.
[107]刘秀磊,廖建新,朱晓民，等.本体匹配中基于词义组合的词法分析算法[J].电子学报,2012,40(8)：1624-1360.
[108]秦鹏.基于WordNet的本体匹配关键技术研究与实现[D].华东师范大学硕士学位论文,2009.
[109]Wei Hu, Yuzhong Qu, Gong Cheng. Matching large ontologies:A divide-and-conquer approach[J]. Data & Knowledge Engineering,2008,67 (1):140-160
[110]l欧阳军.改进的基于实例本体匹配算法研究[D].中山大学硕士学位论文,2010.
[111]王颖.Top-k本体匹配方法[D].哈尔滨工程大学硕士学位论文,2006.
[112]Giuseppe Pirro, Domenico Talia. UFOme:An ontology mapping system with strategy prediction capabilities[J]. Data & Knowledge Engineering,2010,69(5): 444-471.
[113]Hacene Belhadefa. A new bidirectional method for ontologies matching[J]. Procedia Engineering,2011,23:558-564.
[114]张建明,魏小鹏,滕弘飞.基于知识的机械产品概念设计启发式求解[J].中国机械工程,2006,17(13)：1411-1416.
[115]屠立,张树有,陆长明.基于知识模板的复杂产品设计重用方法研究[J].计算机集成制造系统,2009,15(6)：1041-1048.
[116]冯毅雄,谭建荣,魏喆.基于知识进化的产品可重用设计方法[J].浙江大学学报(工学版),2008,42(6)：909-912.
[117]Oscar Cordona, Maria Jose del Jesusb, Francisco Herrera. A proposal on reasoning methods in fuzzy rule-based classification systems [J]. International Journal of Approximate Reasoning,1999,20(1):21-45.
[118]Muh-Cherng Wu, Ying-Fu Lo, Shang-Hwa Hsu. A fuzzy CBR technique for generating product ideas[J]. Expert Systems with Applications,2008, 34(1):530-540.
[119]Susan Craw, Nirmalie Wiratunga, Ray C. Rowe. Learning adaptation knowledge to improve case-based reasoning[J]. Artificial Intelligence.2006,170(16-17): 1175-1192.
[120]Sabum Jung, Taesoo Lim, Dongsoo Kim. Integrating radial basis function networks with case-based reasoning for product design[J]. Expert Systems with Applications.2009,36(3):5695-5701.
[121]金博.面向专利和零部件的设计知识检索方法[D].大连理工大学博士学位论文,2009.
[122]陈磊,潘翔,叶修梓,等.基于本体的产品知识表达和检索技术研究[J].浙江大学学报(工学版),2008,42(12)：2037-2042.
[123]Yuh-Jen Chen. Development of a method for ontology-based empirical knowledge representation and reasoning[J]. Decision Support Systems.2010,50(1):1-20.
[124]毕鲁雁,焦宗夏,范圣韬.基于本体映射的设计知识库搜索方法[J].计算机集成制造系统,2009,15(10)：1890-1899
[125]张立,何艳娟,崔浩,等.一种基于语义推理的多智能体协同功能设汁框架[J].后勤工程学院学报,2009,25(6)：59-64.
[126]P. Gu, S. Sosale. Product modularization for life cycle engineering[J]. Robotics and Computer Integrated Manufacturing,1999,15(5):387-401.
[127]Sa'ed M.Salhieh, Ali K.Kamrani. Macro level product development using design for modularity[J]. Robitics anad Computer Integegrated Manufacturing, 1999,15(4):319-329.
[128]Hwai-En Tseng, Chien-Chen Chang, Jia-Diann, Li. Modular design to support green life-cycle engineering[J]. Expert Systems with Application,2008, 34(4):2524-2537.
[129]吕利勇，乔立红，王田苗.面向产品生命周期的产品模块化分解方法研究[J].计算机集成制造系统,2006,12(4)：546-551.
[130]周开俊,李东波,童一飞,面向产品创新设计的功能模块划分方法[J].计算机辅助设计与图形学学报,2007,19(1)：73-83.
[131]Robert B. Stone, Kristin L. Wood, Richard H. Crawford. A heuristic method for identifying modules for product architectures[J]. Design Studies,2000,21(1):5-31.
[132]Fei Gao, Gang Xiao, Timothy Simpson. Identifying functional modules using generalized directed graphs:Definition and application[J]. Computer in Industry, 2010,61(3):260-269.
[133]Tomoatsu Shibata. Product innovation through module dynamics:a case study[J]. J.Eng.Tcchnol.Manage,2009,26(1-2):46-56.
[134]Pamela D Morrison, John H Roberts. David F. Midgley. The nature of lead users and measurement of leading edge status[J]. Research Policy,2004,33(2):351-362.
[135]檀润华，苑彩云,张瑞红,等.基于技术进化的产品设计过程研究[J].机械工程学报,2002,38(12)：60-65.
[136]张建辉，檀润华，杨伯军,等.产品技术进化潜力预测研究[J].工程设计学报，2008,15(3)：157-163.
[137]Hirtz Julie, Stone Robert B, McAdams Daniel A, et al. A Functional Basis for Engineering Design:Reconciling and Evolving Previous Efforts[J]. Research in Engineering Design,2002,13(2):65-82.
[138]http://protege.stanford.edu/download/download.html
[139]张悦,凌兴宏,姚望舒.基于改进相似度传播算法的本体匹配[J].计算机应 用,2011,31(9):2432-2435.
[140]Paul Buitelaar, Philipp Cimiano, Anette Frank, et al. Ontology-based information extraction and integration from heterogeneous data sources[J]. International Journal of Human-Computer Studies,2008,66(11):759-788.
[141]Noriaki Izumi, Takahira Yamaguchi. Integration of heterogeneous repositories based on ontologies for EC applications development[J]. Electronic Commerce Research and Applications,2002,1(1):77-91.
[142]Amarnath Gupta, Christopher Condit, Xufei Qian. BioDB:An ontology-enhanced information system for heterogeneous biological information[J]. Data & Knowledge Engineering,10,69(11):1084-1102.
[143]http://jena.apache.org
[144]Levensthtein V I. Binary Codes Capable of Correcting Deletions, Insertions, and Reversals[J]. Cybernetics and Control Theory,1966,10(8):707-710.
[145]Gal Avigdor. Managing Uncertainty in Schema Matching with Top-k schema Mappings[J]. Journal on Data Semantics,2006,40(6),99-101.
[146]王颖,刘群,张冰.基于Top-k映射的本体匹配方法[J].计算机工程,2008,34(15)：57-59.
[147]David Baxter, James Gao, Keith Case, et al. A framework to integrate design knowledge reuse and requirements management in engineering design [J]. Robotics and Computer-Integrated Manufacturing,2008,24(4):585-593.
[148]Linden J. Ball, Nicki J. Lambell, Thomas C. Ormerod Simon Slavin, et al. Representing design rationale to support innovative design reuse:a minimalist approach[J]. Automation in Construction.2001,10(6):663-674.
[149]Bo Jin, Hong-Fei Teng, Yi-sou Wang, et al. Product design reuse with parts libraries and an engineering semantic web for small-and medium-sized manufacturing enterprises[J]. International Journal of Advanced Manufacturing Technology,2008,38(11-12):1075-1084.
[150]Carlos Alberto Costa, Marcos Alexandre Luciano, Celson Pantoja Lima, et al. Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning[J]. Advanced Engineering Informatics, 2012,26(2):292-305.
[151]Tessa Lau, Steven A. Wolfman, Pedro Domingos, et al. Programming by demonstration using version space algebra[J]. Machine Learning,2003, 53(1-2):111-156
[152]Gabor Renner, Aniko Ekart. Genetic algorithms in computer aided design[J]. Computer-Aided Design,2003,35(8):709-726.
[153]黄洪钟,赵正佳，关立文.基于遗传算法的方案智能优化设计[J].计算机辅助设计与图形学学报，2002,14(5)：1-5.
[154]邹慧君,高峰.机械系统概念设计[M].北京：机械工业出版社,2003.
[155]M. Hauschild, J. Jeswiet, L. Alting. From Life Cycle Assessment to Sustainable Production:Status and Perspectives[J]. CIRP Annals-Manufacturing Technology, 2005,54(2):1-21.
[156]王明强，王宁生,赵良才，等.面向协同设计的机械产品全生命周期综合评价研究[J].机械科学与技术,2005,24(10)：1241-1246.
[157]Shana Smith, Chao-Ching Yen. Green product design through product modularization using atomic theory[J]. Robotics and Computer-Integrated Manufacturing,10.26(6):790-798.
[158]Ji-Hyun Lee, Ming-Luen Chang. Stimulating designers'creativity based on a creative evolutionary system and collective intelligence in product design[J]. International Journal of Industrial Ergonomics,2010,40(2):295-305.
[159]麻广林,李彦,黄振勇,等.进化驱动型产品创新设计方法研究[J].计算机集成制造系统，2009,15(5)：849-856.
[160]雷英杰，张善文.MATLAB遗传算法工具箱及应用[M].西安：西安电子科技大学出版社，2005.