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Topology design of large displacement compliant mechanisms with multiple materials and multiple output ports

机译:具有多种材料和多个输出端口的大位移顺应机构的拓扑设计

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Topology optimization of compliant mechanisms is presented in this paper wherein the layout design problem is addressed in its original binary or discrete (0-1) form. Design variables are modeled as discrete variables and allowed to assume values pertaining only to their void (0) or solid (1) states. Due to this discrete nature, a genetic algorithm is employed as an optimization routine. Using the barrier assignment approach, the search algorithm is extended to use with multiple materials. The layout design of compliant mechanisms is performed wherein displacements at multiple points (ports) in the design region are maximized along the respective prescribed directions. With multiple output ports and multiple materials, additional freedom in motion and force transduction can be achieved with compliant mechanisms. Geometrically large deformation analysis is employed to compute the displacement-based multiple objectives that are extremized using Nondominated Sorting in Genetic Algorithms (or NSGA). With genetic algorithms, buckling or snap through like issues with nonconvergent solutions in the population when computing nonlinear deformations can be implicitly circumvented.
机译:本文介绍了顺应性机制的拓扑优化,其中布局设计问题以其原始二进制或离散(0-1)形式解决。设计变量被建模为离散变量,并允许采用仅与它们的空隙(0)或固态(1)状态有关的值。由于这种离散的性质,遗传算法被用作优化例程。使用障碍物分配方法,搜索算法被扩展为可用于多种材料。执行顺应性机构的布局设计,其中在设计区域中的多个点(端口)上的位移沿着相应的指定方向最大化。使用多个输出端口和多种材料,可通过顺应机构实现运动和力传递方面的额外自由度。几何大变形分析用于计算基于位移的多个目标,这些目标使用遗传算法(或NSGA)中的非支配排序进行了极端处理。利用遗传算法,可以隐式规避在计算非线性变形时总体中非收敛解的类似问题的屈曲或折断。

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