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Dynamic visual measurement of mechanical property parameters of materials

Published:2023-07-18 author:AN Wen-ya, WANG Li-zhong, LI Lei-gang, et al. Browse: 399 Check PDF documents

Dynamic visual measurement of mechanical property

parameters of materials

AN Wen-ya1, WANG Li-zhong1,2*, LI Lei-gang3, LIU Jia-le2,

ZHU Jia-jun2, CHEN Xiao-shuai1

(1.College of Mechanical Engineering, Xinjiang University, Urumqi 830046, China;

2.State Key Laboratory for

Manufacturing Systems Engineering, College of Mechanical Engineering, Xi'an Jiaotong University, Xian

710049, China;

3.Innovation Lab, XTOP 3D Technology (Shenzhen)Co. Ltd., Shenzhen 518060, China)

Abstract: In order to realize dynamic visual measurement for elastic modulus and Poisson's ratio of materials, based on principles of the digital image correction technology and random sample consensus, a dynamic measurement and calculation method for the strain, elastic modulus, Poisson's ratio and other mechanical property parameters of materials under tensile deformation was proposed. Firstly, the displacement, stress and linear strain between pointpairs of deformed specimens were measured by digital image correlation technology. Then, on the basis of random sample consensus, the elastic range of materials was automatically determined. The elastic modulus and Poisson's ratio of materials were accurately obtained by using the least square fitting method in the elastic interval of the deformed specimen. Finally,at room temperature, tensile tests were carried out on two kinds of metal materials to calculate and display the deformation of the specimen and the parameter changes during the tensile process of the testing machine in real time. The experiment results show that, this method can accurately complete the dynamic visual measurement for elastic modulus and Poisson-s ratio of materials. The average measurement accuracy of elastic modulus and Poisson's ratio can respectively reach 0.86% and 0.97%. The research results show that,the dynamic measurement and calculation method can basically meet the measurement accuracy standard of material performance parameters in the industrial testing industry.

Key words: digital image correction technology; random sample consensus(RANSAC)algorithm; elastic interval automatic positioning; automatic and non-contact measurement; stress and strain; elastic modulus and poisson-s ratio; least square fitting

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