Topology Optimization for Wear of Composite Materials

机械装置具有许多接头、衬套和轴承，这些接头、衬套和轴承必须以低摩擦和磨损可靠地运行，以确保可接受的装置寿命和性能。据估计，仅在美国，摩擦和磨损的成本每年就超过5000亿美元。材料和能源浪费等不可逆转的环境因素加剧了这一财务影响。在这个奖项中，将开发一种新的设计范式，通过材料的排列来优化复合材料系统的摩擦学，结构和热性能和特性。拓扑优化是一种功能强大的数学设计工具，可确定针对性能进行优化的材料配置。感兴趣的性能指标和属性包括磨损、表面形貌、摩擦、密度、成本、导热性和导电性。该奖项将通过实践、K-12实验和演示，通过将摩擦学和拓扑优化纳入利哈伊大学的工程课程，并通过提供研究生和本科生培训，提高社会各阶层对摩擦学和拓扑优化的教育、曝光和兴趣。 这个合作研究项目将产生一个新的设计优化框架，能够设计用于滑动磨损应用的复合材料。许多工程系统中的滑动界面必须是多功能的，这促使需要针对一系列热机械和摩擦学过程和特性进行优化。将探讨几种策略，在设计优化过程中集成制造信息。计划进行实验，建立加工或制造参数与磨损特性之间的关系和联系。我们的目标是产生实验验证的磨损模型，包括耦合多物理配方（有关接触压力，温度和磨损形貌）。这些实验研究将投入到一个整体的拓扑优化框架的复合材料的磨损的发展。

Mechanical devices have numerous joints, bushings and bearings that must operate reliably with low friction and wear to ensure acceptable device lifetime and performance. The costs of friction and wear are estimated to be greater than $500 billion per year in the United States alone. This financial impact is compounded by the irreversible environmental factors of material and energy waste. In this award a new design paradigm will be developed to optimize the tribological, structural, and thermal performance and properties of composite systems through the arrangement of materials. Topology optimization is a powerful mathematical design tool that determines configurations of materials optimized for performance. The performance metrics and properties of interest include wear, surface topography, friction, density, cost, thermal conductivity and electrical conductivity. This award will enhance the education, exposure and interest in tribology and topology optimization at all levels of society through hands-on, K-12 experiments and demonstrations, through the incorporation of tribology and topology optimization in Lehigh University's engineering curriculum, and by providing graduate and undergraduate student training. This collaborative research project will result in a new design optimization framework capable of designing composite materials for applications involving sliding wear. Sliding interfaces in many engineered systems must be multifunctional, prompting the need to optimize for a range of thermomechanical and tribological processes and properties. Several strategies will be explored to integrate fabrication information in the design optimization process. Experiments establishing relationships and links between processing or manufacturing parameters and wear characteristics are planned. The objective is to produce experimentally validated wear models that include coupled multi-physics formulations (relating contact pressures, temperatures, and wear topography). These experimental investigations will feed into the development of a holistic topology optimization framework for the wear of composites.