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author:

Li, Yuanxin (Li, Yuanxin.) [1] | Zhang, Jianwei (Zhang, Jianwei.) [2] | Zhang, Yunlong (Zhang, Yunlong.) [3] | Zhao, Minghao (Zhao, Minghao.) [4] | Lu, Chunsheng (Lu, Chunsheng.) [5] | Liu, Ming (Liu, Ming.) [6]

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EI

Abstract:

Scratch testing is widely used for its convenience and promise but lacks analytical or semi-analytical solutions for determining the mechanical properties of materials. In this paper, by investigating the scratch-induced strain field, we propose a semi-analytical solution for the forward prediction of scratch responses and inverse characterization of plastic parameters of metallic materials. The solution is verified through finite element simulation and experimental data from eight different metallic materials. The results indicate that the method is precise, with an average error of 5.25% in the forward prediction of scratch forces and 7.48% in the inverse characterization of plastic parameters. This work provides a solid theoretical foundation for using scratch tests to assess material plasticity. © 2025 Elsevier Ltd

Keyword:

Community:

  • [ 1 ] [Li, Yuanxin]School of Mechanics and Safety Engineering, Zhengzhou University, Henan, Zhengzhou; 450001, China
  • [ 2 ] [Zhang, Jianwei]School of Mechanics and Safety Engineering, Zhengzhou University, Henan, Zhengzhou; 450001, China
  • [ 3 ] [Zhang, Yunlong]School of Mechanical and Power Engineering, Zhengzhou University, Henan, Zhengzhou; 450001, China
  • [ 4 ] [Zhao, Minghao]School of Mechanical and Power Engineering, Zhengzhou University, Henan, Zhengzhou; 450001, China
  • [ 5 ] [Lu, Chunsheng]School of Civil and Mechanical Engineering, Curtin University, Perth; WA; 6845, Australia
  • [ 6 ] [Liu, Ming]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [zhang, jianwei]school of mechanics and safety engineering, zhengzhou university, henan, zhengzhou; 450001, china;;

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Source :

International Journal of Solids and Structures

ISSN: 0020-7683

Year: 2025

Volume: 310

3 . 4 0 0

JCR@2023

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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