Design of a parallel gripper based on topology synthesis and evolutionary optimization

2021 ◽  
pp. 1-18
Author(s):  
I-Ting Chi ◽  
Teeranoot Chanthasopeephan ◽  
Dung-An Wang

Abstract A compliant gripper with nearly parallel gripping motion is developed by a topology synthesis and a dimensional synthesis approach. The topology synthesis process can generate linkage type compliant mechanisms. Suitable boundary conditions of the topology synthesis process are selected to achieve the desired functions of the device. The dimensional synthesis is based on an evolutionary optimal design process. In order to meet various design goals, a nondominated multi-objective genetic algorithm is selected for the optimal design process. A kinetostaic model based on the chained beam constraint model is developed for force-displacement analysis of the designs. Efficiency and accuracy of the design approach are proved by experiments. Appropriate linkage types of compliant mechanisms may be discovered by the topology optimization process before moving on to dimensional synthesis to obtain final designs.

2013 ◽  
Vol 756-759 ◽  
pp. 3136-3140
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Shao Lian Ma

Multi-objective arithmetic NSGA-II based on Pareto solution is investigated to deal with integrated optimal design of speedability and manoeuvre performances for submersible. Approximation model of resistance for serial revolving shape is constructed by hydrodynamic numerical calculations. The appraisement criterions of stability and mobility are calculated from linear equation of horizontal movement by estimating hydrodynamic coefficient of submersible. After optimization, the scattered Pareto solution of drag and turning diameter are gained, and from the solutions designer can select the reasonable one based on the actual requirement. The Pareto solution can ensure the minimum drag in this manoeuvre performance or the best manoeuvre performance in this drag value.


Lab on a Chip ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 3618-3627 ◽  
Author(s):  
Junchao Wang ◽  
Naiyin Zhang ◽  
Jin Chen ◽  
Victor G. J. Rodgers ◽  
Philip Brisk ◽  
...  

Find an optimal design and establish the design criteria of a passive microfluidic mixer using a multi-objective genetic algorithm.


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