CAREER: Decomposition-Based Assembly Synthesis of Bistructural Products

该CAREER赠款为设计和制造中离散建模和优化的综合研究和教育计划的开发提供资金。 本研究的目的是发展一种系统的方法，用于在进行详细的部件设计之前，合成双结构产品（如汽车车身等内部结构支撑增强的外部外壳产品）的可行组件。 通过结构拓扑优化输出的转换和分解，基于内部结构支撑和外部外壳几何形状的基于图形的分解，实现多部件装配的自顶向下合成。 教学目标是使机械工程专业学生对各种并行工程问题有一个统一的认识，即在离散的选择中进行决策，并为理解、设计和利用离散建模和优化方法解决这些问题奠定坚实的基础。如果成功，所提出的研究将为通过分解实现双结构产品的装配综合提供理论基础。这影响组装产品的整体结构刚度和尺寸误差以及部件的可制造性和可加工性。 它将对双结构设计盛行的行业产生积极影响，如汽车、航空航天和造船。 该教育计划将通过倡导离散建模和优化与设计和制造的相关性来影响广泛的机械工程社区。 它将通过将研究成果作为案例研究引入研究生课程并在本科课程中使用开发的软件来实现与研究计划的整合。

This CAREER grant provides funding for the development of an integrated research and education program on discrete modeling and optimization in design and manufacturing. The research objective is the development of a systematic method for synthesizing feasible assemblies of bistructural products --- products with external enclosure reinforced by internal structural supports such as automotive bodies --- before conducting the detailed component design. Top-down synthesis of a multi-component assembly will be achieved based on the graph-based decomposition of the internal structural supports and external enclosure geometry, via the transformation and decomposition of a structural topology optimization output. The educational objective is to provide mechanical engineering students with a unified view of various concurrent engineering problems as decisions among discrete choices and a solid foundation to understand, design, and utilize discrete modeling and optimization methods as applied to these problems.If successful, the proposed research will provide a theoretical base for the assembly synthesis of bistructural products via decomposition, which influences the overall structural stiffness and dimensional errors of the assembled products and the manufacturability and assembleability of the components. It will positively impact industries where bistructural design is prevalent, such as automotive, aerospace, and ship building. The educational plan will impact a broad mechanical engineering community by advocating the relevance of discrete modeling and optimization to design and manufacturing. It will achieve integration with the research plan by the introduction of research results to a graduate course as case studies and by the use of the developed software in a undergraduate course.