文献类型：期刊文献

中文题名：New Inverse Method for Determining Uniaxial Flow Properties by Spherical Indentation Test

作者：Guoyao Chen[1];Xiaocheng Zhang[1];Jiru Zhong[1];Jin Shi[1];Qiongqi Wang[1];Kaishu Guan[1]

机构：[1]School of Mechanical and Power Engineering,East China University of Science and Technology,Shanghai 200237,China

年份：2021

卷号：34

期号：6

起止页码：138

中文期刊名：Chinese Journal of Mechanical Engineering

外文期刊名：中国机械工程学报（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2021_2022】；

基金：Supported by China Postdoctoral Science Foundation(Grant No.2019M661406).

语种：英文

中文关键词：Spherical indentation test;Database method;Uniaxial stress-strain relationship

摘要：The spherical indentation test has been successfully applied to inversely derive the tensile properties of small regions in a non-destructive way.Current inverse methods mainly rely on extensive iterative calculations,which yield a considerable computational costs.In this paper,a database method is proposed to determine tensile flow properties from a single indentation force-depth curves to avoid iterative simulations.Firstly,a database that contain numerous indentation force-depth curves is established by inputting varied Ludwic material parameters into the indentation finite elements model.Secondly,for a given experimental indentation curve,a mean square error(MSE)is designated to evaluate the deviation between the experimental curve and each curve in the database.Finally,the true stresses at a series of plastic strain can be acquired by analyzing these deviations.To validate this new method,three different steels,i.e.A508,2.25Cr1 Mo and 316L are selected.Both simulated indentation curves and experimental indentation curves are used as inputs of the database to inversely acquire the flow properties.The result indicates that the pro-posed approach provides impressive accuracy when simulated indentation curves are used,but is less accurate when experimental curves are used.This new method can derive tensile properties in a much higher efficiency compared with traditional inverse method and are therefore more adaptive to engineering application.