Using Fully Cartesian Coordinates to Calculate the Support Reactions of Multi-Scale Mechanisms

M. T. Orvañanos-Guerrero, Claudia N. Sánchez, Oscar Davalos-Orozco, Mariano Rivera, R. Velázquez, M. Acevedo
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引用次数: 4

Abstract

It is well known that machine vibrations often occur due to dynamic unbalance. They induce noise, wear, and fatigue problems that prevent many machines from attaining their full potential. Dynamic balancing of mechanisms allows to limit the transmission of vibrations to the base, an advantage that could be exploited in hand tools, machinery, vehicles moving in free space and robots. This work presents a method for representing a four-bar mechanism with the use of Fully Cartesian coordinates and its equations for calculating the shaking force (ShF) and the shaking moment (ShM). Such method can be applied and it is useful for the analysis of multi-scale (meso/micro/nano) mechanisms. The projected Gradient Descent is used to minimize the ShF and ShM functions with the aim of balancing the system. The Taylor’s theorem was used for calculating the step length. The multiobjective optimization problem was solved using a linear combination of the objectives. The result of this methodology reduces successfully the ShF and the ShM by 31% and 65%, respectively.
用全笛卡尔坐标计算多尺度机构的支撑反应
众所周知,机器振动常常是由于动不平衡引起的。它们引起噪音、磨损和疲劳问题,使许多机器无法充分发挥其潜力。机构的动态平衡可以限制振动向基座的传递,这一优势可以用于手动工具、机械、在自由空间中移动的车辆和机器人。本文提出了一种用全笛卡尔坐标表示四杆机构的方法及其计算振动力(ShF)和振动矩(ShM)的方程。该方法可用于多尺度(中/微/纳米)机理的分析。投影梯度下降用于最小化ShF和ShM函数,以达到平衡系统的目的。泰勒定理被用来计算步长。采用目标的线性组合来求解多目标优化问题。该方法成功地将ShF和ShM分别降低了31%和65%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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