基于离散化成本—公差模型的多目标公差优化设计
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摘要
针对现阶段工厂普遍采用数控加工的现状,对原有基于普通机床提出的公差模型进行改进,提出了一种新的多目标公差设计优化模型。在考虑加工时间、夹具和刀具磨损等因素的影响下,建立了离散化的成本—公差模型。以加工成本、公差敏感性和质量损失为目标,装配功能和加工能力为约束条件,建立了基于离散化成本—公差模型和差分进化—全局蜂群混合算法的多目公差设计优化模型。以特里科型高速经编机编花部件为例,运用所提优化模型快速地得到了公差最优解,降低了产品的制造成本,提高了产品质量,验证了该模型的有效性。
Aiming at the current situation of CNC in the factory processing,the original tolerance model based on ordinary machine tools was improved,and a multi-objective optimization model of tolerance was proposed.By considering the machining cost,tolerance sensitivity and quality loss,a multi-objective optimization model of tolerance based on discretized cost-tolerance model and Differential Evolution-Global Artificial Bee Colony(DE-GABC)algorithm was established with constraints of assembly function and processing capacity.Through the example of a key knitting machine component,the optimal solutions of tolerance were obtained quickly with the proposed optimization model,which could reduce the cost and improve the quality of the products,and the validity of the proposed model was verified.
Aiming at the current situation of CNC in the factory processing,the original tolerance model based on ordinary machine tools was improved,and a multi-objective optimization model of tolerance was proposed.By considering the machining cost,tolerance sensitivity and quality loss,a multi-objective optimization model of tolerance based on discretized cost-tolerance model and Differential Evolution-Global Artificial Bee Colony(DE-GABC)algorithm was established with constraints of assembly function and processing capacity.Through the example of a key knitting machine component,the optimal solutions of tolerance were obtained quickly with the proposed optimization model,which could reduce the cost and improve the quality of the products,and the validity of the proposed model was verified.
引文
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[3]JIN Qiu.Optimization of cost-tolerance model based on continuous compounding[J].Journal of Tianjin University of Science&Technology,2012(6):61-64(in Chinese).[金秋.连续复利的加工成本-公差模型改进[J].天津科技大学学报,2012(6):61-64.]
[4]TAGUCHI G,WU Y I.Introduction to off-line quality control system[J].Journal of Food Protection,1979,51(6):449-451.
[5]LIU Ting,ZHAO Yanming,LIU Deshun,et al.Modeling and analysis of product quality loss based on price[J].Journal of Human University of Science&Technology:Natural Science Edition,2013,28(2):33-38(in Chinese).[刘婷,赵延明,刘德顺,等.基于价格的产品质量损失建模与分析[J].湖南科技大学学报:自然科学版,2013,28(2):33-38.]
[6]LIU Haibo,LIU Jianhua,HE Yongxi,et al.Optimization design of multi-objective tolerances based on nice PSO algotithm[J].Computer Integrated Manufacturing Systems,2015,21(3):585-592(in Chinese).[刘海博,刘检华,何永熹,等.基于小生境粒子群算法的公差多目标优化设计[J].计算机集成制造系统,2015,21(3):585-592.]
[7]OTSUKA A,NAGATA F.Optimal allocation of statistical tolerance indices by genetic algorithms[J].Artificial Life&Robotics,2014,19(3):227-232.
[8]WAN J D,ZHANG Y B,CAI L,et al.A particle swarm optimization for optimal tolerance design of power transformer core column cross-section[J].Key Engineering Materials,2010,439/440:74-79.
[9]JAYAPRAKASH G,SIVAKUMAR K,THILAK M.FEAcompliant parametric tolerance allocation of mechanical assembly using neural network and differential evolution algorithm[J].International Journal of Computer Integrated Manufacturing,2012,25(7):636-654.
[10]ZHU Yuanping,CHEN Sufen.Glowworm swarm optimization for optimal tolerance allocation[J].Machinery Design&Manufacture,2014(6):249-251(in Chinese).[朱渊萍,陈素芬.萤火虫群优化算法在公差分配优化的应用[J].机械设计与制造,2014(6):249-251.]
[11]ELA A A A E,ABIDO M A,SPEA S R.Optimal power flow using differential evolution algorithm[J].Electrical Engineering,2010,80(7):878-885.
[12]ATKINSON A,RIANI M.Robust diagnostic regression analysis[J].Journal of the American Statistical Association,2011,44(457):80-81.
[13]FOGIATTO F S.Robust design and analysis for quality engineering[J].IIE Transactions,1997,29(12):1084-1086.
[14]PARKINSON D B.The application of a robust design method to tolerancing[J].Transactions of the ASME Journal of Mechanical Design,2000,122(2):149-154.
[15]XIAO Renbin,ZOU Hongfu,TAO Zhenwu.Multi-objective model of tolerance design and its solution with particle swarm optimization algorithm[J].Computer Integrated Manufacturing Systems,2006,12(7):976-980(in Chinese).[肖人彬,邹洪富,陶振武.公差设计多目标模型及其粒子群优化算法研究[J].计算机集成制造系统,2006,12(7):976-980.]