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考虑转角约束的特征驱动拓扑优化方法

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保持组件顺序是一些典型结构(如可展开的链状结构、平行打印路径的3D打印结构、连续纤维增强聚合物增材制造结构、定制支架和软机器人部件)的实际工程设计需求.本文发展了一种保持组件顺序的特征驱动结构拓扑优化方法.首先提出了基于杆链的设计变量设置方案,将当前杆的终点设置为下一杆的起点,以此获得特定组件顺序的结构构型.其次提出了打印路径的总长度约束,以精确地控制原材料的消耗;提出了相邻杆之间的夹角约束,以避免在3D打印路径的转角处出现尖锐的角度.此外考虑了组件之间的非独立关系,对相关解析函数的灵敏度进行分析.最后,通过数值算例验证了该方法对于保持组件顺序结构设计的有效性和优越性.
Feature-driven topology optimization method preserving component sequences considering turning angle constraint
Component sequence preservation is an intrinsic requirement in typical engineering applications,such as deployable chain-like structures,3D printing structures with contour-parallel toolpaths,additive manufacturing of continuous fibre-reinforced polymer structures,customized stents,and soft robotics parts.This study presents a feature-driven method that preserves component sequences accounting for engineering requirements.The chain-of-bars design variables setting scheme is developed to realize the sequential component's layout,which sets the current bar's end point as the next bar's start point.The total length of the printing path is constrained to reduce the consumption of material accurately.Also,the angle between adjacent bars is constrained to avoid sharp angles at the turning point of the 3D printing path.Next,the sensitivity analysis considering the inter-dependence of substructures is performed.Several numerical examples are given to demonstrate the validity and merits of the proposed method in designing structures preserving component sequences.

Topology optimizationComponent sequence preservationChain-like structuresFeature-driven methodAdditive manufacturing

贾东升、刘磊、朱继宏、张煜、Vassili Toropov

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School of Engineering and Material Science,Queen Marry University of London,London,E1 4NS,UK

State IJR Center of Aerospace Design and Additive Manufacturing,Northwestern Polytechnical University,Xi'an 710072,China

Topology optimization Component sequence preservation Chain-like structures Feature-driven method Additive manufacturing

2024

10.1007/s10409-024-23433-x

力学学报(英文版)

力学学报(英文版)

CSTPCD
影响因子：0.363
ISSN：0567-7718
年,卷(期)：2024.40(10)
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