Nonlinear Synthesis of Compliant Mechanisms With Selective Compliance

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Stephanie Seltmann, Alexander Hasse
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引用次数: 0

Abstract

The synthesis of compliant mechanisms (CMs) is frequently achieved through topology optimization. Many synthesis approaches simplify implementation by assuming small distortions, but this limits their practical application since CMs typically undergo large deformations that include geometric and material nonlinearities. CMs designed to generate a desired deformation path at the output points under specific loads are known as path-generating CMs. However, these CMs face significant challenges in topology optimization, resulting in the development of only a few optimization methods. Existing approaches often include only certain load cases in the optimization process. Consequently, if a CM designed this way encounters different load cases in practice, its path-generating behavior cannot be guaranteed. The authors have previously contributed to the development of an approach suitable for synthesizing load case-insensitive CMs. This paper extends that approach to account for nonlinearities, enabling the synthesis of path-generating CMs. The effectiveness of this extended approach is demonstrated through appropriate design examples. Additionally, the paper presents, for the first time, a shape-adaptive path-generating CM.

Abstract Image

具有选择柔度的柔顺机构的非线性综合
柔性机构的综合通常是通过拓扑优化来实现的。许多综合方法通过假设较小的变形来简化实现,但这限制了它们的实际应用,因为cm通常会经历包括几何和材料非线性在内的大变形。设计用于在特定载荷下在输出点产生所需变形路径的CMs称为路径生成CMs。然而,这些CMs在拓扑优化方面面临着巨大的挑战,导致优化方法的发展很少。现有的方法在优化过程中通常只包括特定的负载情况。因此,如果以这种方式设计的CM在实践中遇到不同的负载情况,则不能保证其路径生成行为。作者以前已经为一种适合合成负载不敏感CMs的方法的发展做出了贡献。本文扩展了该方法来考虑非线性,使合成路径生成CMs成为可能。通过适当的设计实例证明了这种扩展方法的有效性。此外,本文还首次提出了一种形状自适应路径生成算法。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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