An Optimality Criteria Approach for the Topology Synthesis of Compliant Mechanisms

数学优化 拓扑优化 最优性准则 序列二次规划 顺应机制 有限元法 最优化问题 计算机科学 数学 拓扑(电路) 二次规划 热力学 组合数学 物理
作者
Anupam Saxena,G. K. Ananthasuresh
标识
DOI:10.1115/detc98/mech-5937
摘要

Abstract The physical insight used in formulating a multi-criteria optimization problem for the synthesis of compliant mechanisms, is quickly lost if mathematical programming techniques (SLP, SQP etc.) are used to determine the optimal solution. As opposed to the previous works that relied upon mathematical programming search techniques to find the optimum solution, in this paper we present an alternative method of solution called the optimality criteria method. Optimality criteria methods have proven to be effective in structural optimization problems with a large number of variables, and very few constraints as is the case in the topology synthesis of compliant mechanisms. The important new results of this paper include: (i) the derivation of a physically insightful optimal property of compliant mechanisms which states that the ratio of the mutual potential energy density and the strain energy density is uniform throughout the continuum (ii) the development of the optimality criteria method of solution in the form of a simple update formula for the design variables by using the above property (iii) design parameterization using the frame finite-element based ground-structure that appropriately accounts for the requisite bending behavior in the continuum, and (iv) numerical implementation of previously reported density based design parameterization using bilinear plane-stress elements. In addition, a new energy based multi-criteria objective function is presented to maximize the useful output energy (which is equivalent to maximizing the mechanical advantage) while meeting the kinematic requirements. Several examples are included to demonstrate the validity of the optimal property, the optimality-criteria method of solution, and the improvements made possible by the new energy based objective function.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
机智明辉发布了新的文献求助10
刚刚
刚刚
刚刚
1秒前
大大鱼发布了新的文献求助10
1秒前
李健应助lmmorz采纳,获得10
1秒前
tttt9999发布了新的文献求助10
1秒前
2秒前
shitou发布了新的文献求助10
2秒前
2秒前
3秒前
3秒前
cyyy发布了新的文献求助10
4秒前
sjjdjj发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
lfc关注了科研通微信公众号
5秒前
KK发布了新的文献求助10
5秒前
ZHY2023发布了新的文献求助10
5秒前
机智明辉完成签到,获得积分10
6秒前
ding应助晋大道的朱慧如采纳,获得10
6秒前
钟子怡发布了新的文献求助10
7秒前
王小少完成签到,获得积分10
7秒前
高高雪瑶完成签到,获得积分10
7秒前
7秒前
脑洞疼应助tttt9999采纳,获得10
8秒前
8秒前
Singularity应助dd采纳,获得10
9秒前
10秒前
浮游应助cyyy采纳,获得10
10秒前
科研通AI6应助乖乖隆地洞采纳,获得10
10秒前
SCL987654321发布了新的文献求助10
10秒前
11秒前
好的老师完成签到,获得积分20
11秒前
充电宝应助xibei采纳,获得10
11秒前
努力发布了新的文献求助10
11秒前
12秒前
12秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Comparing natural with chemical additive production 500
Machine Learning in Chemistry 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5195650
求助须知:如何正确求助?哪些是违规求助? 4377568
关于积分的说明 13633116
捐赠科研通 4232906
什么是DOI,文献DOI怎么找? 2321857
邀请新用户注册赠送积分活动 1320084
关于科研通互助平台的介绍 1270495