Advanced Extremum Response Surface Method for Dynamic Reliability Analysis on Flexible Mechanism

doi:10.3901/JME.2017.07.047

Abstract

Abstract:

To improve the precision and efficiency of reliability analysis of flexible mechanism, advanced extremum response surface method of reliability analysis is proposed. Based on the intelligent algorithm and extremum response surface method, the mathematical model of the proposed method is established through the generation of samples by Monte Carlo method and the network training. A flexible robot manipulator is chosen as the target of study in the reliability simulation where its material density, elastic modulus, section size of components are taken as input random variables and deformation of components is taken as output response. Distribution characteristics of output response and reliability are assessed by Monte Carlo method, extremum surface method and advanced extremum surface method respectively. The comparison with various other methods shows that this advanced extremum response surface method has greatly improved the computational speed while keeping acceptable computational accuracy, advanced extremum response surface method is proved to be a high precision and high efficiency in dynamic reliability analysis of flexible mechanism, and this method has opened up an effective way for reliability optimization of flexible mechanism.

Key words: advanced extremum response surface method, artificial neural network, flexible robot manipulator, intelligent algorithm, reliability analysis

ZHANG Chunyi, SONG Lukai, FEI Chengwei, HAO Guangping, LU Cheng. Advanced Extremum Response Surface Method for Dynamic Reliability Analysis on Flexible Mechanism[J]. Journal of Mechanical Engineering, 2017, 53(7): 47-54.

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Advanced Extremum Response Surface Method for Dynamic Reliability Analysis on Flexible Mechanism

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