Motion Reliability Analysis of the PUMA560 Series Mechanism

Abstract

In this paper, we report an effective method for motion reliability analysis of the PUMA560 series mechanism. It firstly builds a Monte Carlo parameterized 3-D virtual model of this mechanism in ADAMS, and uses VC++ to program a pseudo-random number subroutine function that conforms to normal distribution and user defining function to simulate the stochastic error distribution of the mechanism, and a universal reliability analysis program of the PUMA560 series mechanism is then developed. After multiple virtual tests on this parameterized mechanism model, a large mount of test data are obtained and statistically analyzed to calculate the motion reliability; this can evaluate the influence of different stochastic errors on the mechanism dynamic characteristics. The advantages of this new method include simplicity (no need to solve complex mathematic model) and high accuracy which make it highly promising for application in mechanism design.