Your browser doesn't support javascript.
loading
Elastoplastic Analysis of Metallic Parts Employing a Meshless Method.
Chhillar, Ajay; Singh, Rajender; Sharma, Prabhakar; Asiri, Abdullah Naser M; Islam, Saiful; Razak, Abdul.
Affiliation
  • Chhillar A; Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi 110077, India.
  • Singh R; Department of Mechanical Engineering, DCRUST Murthal, Sonipat, Haryana 131039, India.
  • Sharma P; Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi 110077, India.
  • Asiri ANM; Civil Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
  • Islam S; Civil Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
  • Razak A; Department of Mechanical Engineering, P.A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi, Mangaluru 574153, India.
ACS Omega ; 8(37): 33493-33513, 2023 Sep 19.
Article in En | MEDLINE | ID: mdl-37744871
ABSTRACT
The use of finite element method-based approaches has been popular in studying the elastoplastic behavior of metal parts. However, there has been a growing demand for meshless methods. In response, researchers have developed a meshless solution for 2D elastoplastic evaluation of metal components. This approach obtains the locally symmetric weak form of the governing elastoplastic integral equations at each node throughout the problem area and boundary. The elastoplastic constitutive relationships consider a small deformation rate independent associative flow theory applicable to isotropic hardening materials. The proposed solution algorithm can handle loading, unloading, and reverse loading. Numerical results were computed using Gaussian and spline weight functions, and the presented meshless solution proved to be robust and accurate for conducting the elastoplastic investigation of metallic parts. Furthermore, the Gaussian weight function was found to be more robust than the spline weight function. In conclusion, this paper presents a reliable meshless solution for elastoplastic analysis and highlights the advantages of using Gaussian weight functions.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Omega Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Omega Year: 2023 Document type: Article Affiliation country: