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Optimization of shot peening effective parameters on surface hardness improvement

Maleki, E ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1007/s12540-020-00758-x
  3. Publisher: Korean Institute of Metals and Materials , 2021
  4. Abstract:
  5. Abstract: Shot peening is well-known process for mechanical properties integrity in metallic materials. In present study influences of different shot peening treatments on the surface hardness of different carbon steels were investigated experimentally and then alternative approach by using artificial neural network is presented for hardness prediction of the shot peened surface. After modeling a comprehensive parametric investigations and sensitivity analysis were applied according to the influence of the related effective parameters on surface hardness improvements. Graphic Abstract: [Figure not available: see fulltext.] © 2020, The Korean Institute of Metals and Materials
  6. Keywords:
  7. Hardness ; Neural networks ; Sensitivity analysis ; Effective parameters ; Hardness prediction ; Metallic material ; Parametric investigations ; Surface hardness ; Shot peening
  8. Source: Metals and Materials International ; Volume 27, Issue 9 , 2021 , Pages 3173-3185 ; 15989623 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s12540-020-00758-x