Multi-objective optimization and linear buckling of serial chain of a medical robot tool for soft tissue surgery

G. Ilewicz, A. Harlecki
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引用次数: 2

Abstract

Received Oct 13, 2019 Revised Dec 27, 2019 Accepted Jan 12, 2020 The slender structures of a medical robot may have a tendency to buckling when a force equal to the critical Euler force and an additional disturbance will work on their structures. In this work, eigenvalue problem that describes the linear buckling is under consideration. The main goal of the article is to check when linear buckling phenomenon appears in construction of a medical robot with serial chain due to the fact that for safety reasons of a robot’s work, it is necessary to answer the question, whether the buckling may occur in the robot’s structure. For this purpose, a numerical calculation model was defined by using the finite element method. The values of load factor coefficients that are eigenvalue are determinated and also the eigenvectors that have shapes of deformation for the next eigenvalues are presented. The multi-criteria optimization model was determined to aim for the minimum mass of the effector and the buckling coefficient, from which the Euler force results, for the maximum. The solution was obtained on the basis of Pareto fronts and the MOGA genetic algorithm.
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一种用于软组织手术的医疗机器人工具系列链的多目标优化和线性屈曲
接收日期2019年10月13日修订日期2019年12月27日接受日期2020年1月12日当等于临界欧拉力的力和额外的扰动作用于医疗机器人的细长结构时,其结构可能有屈曲的趋势。在这项工作中,描述线性屈曲的特征值问题正在考虑之中。本文的主要目的是检查具有串联链的医疗机器人在结构中何时出现线性屈曲现象,因为出于机器人工作的安全原因,有必要回答机器人结构中是否会出现屈曲的问题。为此,使用有限元方法定义了一个数值计算模型。确定了作为特征值的载荷系数的值,并给出了下一个特征值的具有变形形状的特征向量。确定了多准则优化模型,以使效应器的质量最小,并使产生欧拉力的屈曲系数最大。在Pareto前沿和MOGA遗传算法的基础上得到了解。
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CiteScore
6.80
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