多相复合材料等效物理性能预测
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摘要
多相复合材料等效性能的预测对优化复合材料设计和探索新型复合材料的研究工作都具有重要的指导意义。本文以多相复合材料等效物理性能预测数值方法的软件研究为主。在详细了解了基于显微结构图片几何特征和相界面信息以建立显微结构模型的多参数随机建模方法和求解控制方程的格子Boltzmann方法的基础上,编制软件计算颗粒增强型和纤维增强型多相复合材料的等效物理性能,并用该软件进一步讨论了各组分相性能比值、颗粒尺寸、各向异性程度、相界面结合程度等因素对颗粒增强型复合材料等效性能的影响和不同显微结构形态对等效性能的影响。
本文共四章,各章节内容概括如下：
第一章调研了国内外复合材料等效性能预测方法的发展历程和应用现状,分析各方法的优缺点。结合国内外的研究现状,阐明本课题的研究内容。
第二章在介绍针对颗粒增强型复合材料和纤维增强型复合材料的多参数随机显微结构建模方法和格子Boltzmann方法的理论基础上,证明了用格子Boltzmann方法求解控制方法的合理性。并具体阐述软件开发的设计思路和程序流程。
第三章应用所编制的软件预测了几种颗粒增强型复合材料和纤维增强型复合材料的等效热导率、电导率、介电常数和弹性模量,通过与文献中预测或实验结合的对比证明所编制软件的正确性。同时进一步讨论了各组分相性能比值、颗粒尺寸、颗粒各向异性程度、相界面结合程度和显微结构形态对多相复合材料等效性能的影响。
第四章总结全文的研究工作。结合本文研究的未尽之路,为下一步的研究提出展望。
Theoretical prediction of effective properties for multiphase material systems is very important not only to analysis and optimization of material performance, but also to new material designs. In this paper, the main point is the software research on the prediction of the effective physical properties of multiphase materials. With deeply understanding of the theory of random generation-growth algorithm for reproducing multiphase microstructures based on the geometrical and morphological information obtained from measurements and experimental estimations and lattice Boltzmann method for the corresponding governing equations, software have been developed for our research. This set of numerical method has been demonstrated effectiveness and robustness not only with various applications by comparing the predictions with existing experimental data but also by accounting for the effects due to component properties, component size, material anisotropy, multiphase interactions and internal morphology.
There are 4 chapters in this thesis; each chapter is summarized as follows:
In the first chapter, the development and application of theoretical methods and numerical methods at home and abroad is investigated, the applications and limitations of various methods have been pointed out, combined with the domestic and abroad research status of the prediction method for the effective properties of multiphase materials, clarifying the meaning and the content of the research topic.
In Chapter two, based on the introduction of the random generation-growth algorithm for granular-reinforced materials and fiber-reinforced materials and lattice Boltzmann solver, indicated a detailed explanation of the software for these numerical methods.
In Chapter three, various applications are provided to validate the feasibility, effectiveness and robustness of this methodology by comparing the predictions with existing experimental data, accounting for the effects due to component properties, component size, material anisotropy, multiphase interactions and internal morphology.
In Chapter four, the research of this thesis is summarized. Combining the research in this paper, the reference for further study is put forward.
本文共四章,各章节内容概括如下：
第一章调研了国内外复合材料等效性能预测方法的发展历程和应用现状,分析各方法的优缺点。结合国内外的研究现状,阐明本课题的研究内容。
第二章在介绍针对颗粒增强型复合材料和纤维增强型复合材料的多参数随机显微结构建模方法和格子Boltzmann方法的理论基础上,证明了用格子Boltzmann方法求解控制方法的合理性。并具体阐述软件开发的设计思路和程序流程。
第三章应用所编制的软件预测了几种颗粒增强型复合材料和纤维增强型复合材料的等效热导率、电导率、介电常数和弹性模量,通过与文献中预测或实验结合的对比证明所编制软件的正确性。同时进一步讨论了各组分相性能比值、颗粒尺寸、颗粒各向异性程度、相界面结合程度和显微结构形态对多相复合材料等效性能的影响。
第四章总结全文的研究工作。结合本文研究的未尽之路,为下一步的研究提出展望。
Theoretical prediction of effective properties for multiphase material systems is very important not only to analysis and optimization of material performance, but also to new material designs. In this paper, the main point is the software research on the prediction of the effective physical properties of multiphase materials. With deeply understanding of the theory of random generation-growth algorithm for reproducing multiphase microstructures based on the geometrical and morphological information obtained from measurements and experimental estimations and lattice Boltzmann method for the corresponding governing equations, software have been developed for our research. This set of numerical method has been demonstrated effectiveness and robustness not only with various applications by comparing the predictions with existing experimental data but also by accounting for the effects due to component properties, component size, material anisotropy, multiphase interactions and internal morphology.
There are 4 chapters in this thesis; each chapter is summarized as follows:
In the first chapter, the development and application of theoretical methods and numerical methods at home and abroad is investigated, the applications and limitations of various methods have been pointed out, combined with the domestic and abroad research status of the prediction method for the effective properties of multiphase materials, clarifying the meaning and the content of the research topic.
In Chapter two, based on the introduction of the random generation-growth algorithm for granular-reinforced materials and fiber-reinforced materials and lattice Boltzmann solver, indicated a detailed explanation of the software for these numerical methods.
In Chapter three, various applications are provided to validate the feasibility, effectiveness and robustness of this methodology by comparing the predictions with existing experimental data, accounting for the effects due to component properties, component size, material anisotropy, multiphase interactions and internal morphology.
In Chapter four, the research of this thesis is summarized. Combining the research in this paper, the reference for further study is put forward.
引文
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