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Flexible slider crank mechanism synthesis using meta-heuristic optimization techniques: a new designer tool assistance for a compliant mechanism synthesis
Artificial Intelligence Review ( IF 10.7 ) Pub Date : 2019-09-12 , DOI: 10.1007/s10462-019-09747-y
Mohamed Amine Ben Abdallah , Imed Khemili , Nizar Aifaoui

This work bespeaks an insight into a real imperfect multibody systems synthesis, wherein the flexible behaviour of its components is considered. Based on the end-effector mechanism velocity, acceleration and defined transversal deflection for a flexible component, the mechanism optimal design variables have been investigated. Subsequently, the three aforementioned responses have been involved simultaneously for a combined optimization process. To this end, an Assistance Tool Design, subsuming several meta-heuristic optimization techniques such as Genetic Algorithm (GA), Imperialist Competitive Algorithm (ICA), Artificial Bee Colony (ABC), Ant Colony (AC), Differential Evolution (DE) and Simulating Annealing (SA) techniques, has been developed under MATLAB software. The Assistance Tool Design enables designers to carry out the synthesis of mechanisms by means of one or many optimization techniques mentioned above. It has been proven that AC and DE outperform the other optimization techniques. Nevertheless, awkwardness has been bearded for the mechanism synthesis using only a single response, mainly the flexible connecting rod mid-point transversal deflection. The combined synthesis subsuming simultaneously the three responses discussed above settles a perfect trade-off for all the optimization techniques.

中文翻译:

使用元启发式优化技术的灵活的滑块曲柄机构合成:用于顺应机构合成的新设计工具辅助

这项工作表明了对真正不完美的多体系统合成的深入了解,其中考虑了其组件的灵活行为。基于柔性部件的末端执行器机构速度、加速度和定义的横向偏转,已经研究了机构优化设计变量。随后,上述三个响应同时参与到组合优化过程中。为此,辅助工具设计包含了几种元启发式优化技术,例如遗传算法 (GA)、帝国主义竞争算法 (ICA)、人工蜂群 (ABC)、蚁群 (AC)、差分进化 (DE) 和模拟退火 (SA) 技术是在 MATLAB 软件下开发的。辅助工具设计使设计人员能够通过上述一种或多种优化技术进行机制的综合。已经证明 AC 和 DE 优于其他优化技术。然而,仅使用单一响应(主要是柔性连杆中点横向偏转)的机构合成就显得笨拙。同时包含上述三个响应的组合综合解决了所有优化技术的完美权衡。主要是挠性连杆中点横向挠度。同时包含上述三个响应的组合综合解决了所有优化技术的完美权衡。主要是挠性连杆中点横向挠度。同时包含上述三个响应的组合综合解决了所有优化技术的完美权衡。
更新日期:2019-09-12
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