Topological Optimization Using Neuronal Algorithm

Gabriel Procopenco, F. Marin, M. Marin
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Abstract

Topological optimization is a type of structural optimization that provides conceptual design for lighter structures. The aim of this method is to maximize system performance for a given set of loads, boundary conditions, and constraints. This method is based on element analysis finished assembly. The design of a lightweight robot is a key point since the weight of the robot is directly proportional to the load capacity of the robot and its motor power. The structural design is iterated in a loop until function convergence achieves the objectives and the atisfying constraints.
基于神经元算法的拓扑优化
拓扑优化是为轻量化结构提供概念设计的一种结构优化。该方法的目的是在给定的一组负载、边界条件和约束条件下使系统性能最大化。该方法是基于元件分析的成品装配方法。轻量化机器人的设计是一个关键,因为机器人的重量与机器人的负载能力和电机功率成正比。结构设计在一个循环中迭代,直到函数收敛达到目标和满足约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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25
审稿时长
8 weeks
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