Literature review of numerical simulation and optimisation of the shot peening process

This work provides a comprehensive review of numerical simulation and optimisation of the shot peening found in the existing literature over the past 10 years. The review found that the developed numerical models coupling finite elements with discrete elements became increasingly mature and showed t...

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Main Authors: Jun S Chen, Dawood A Desai, Stephan P Heyns, Francesco Pietra
Format: Article
Language:English
Published: SAGE Publishing 2019-03-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814018818277
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spelling doaj-13ee2b4c53e3442e92a5c2d339e4fe682020-11-25T03:20:34ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402019-03-011110.1177/1687814018818277Literature review of numerical simulation and optimisation of the shot peening processJun S Chen0Dawood A Desai1Stephan P Heyns2Francesco Pietra3Faculty of Engineering and the Built Environment, Tshwane University of Technology, Pretoria, South AfricaFaculty of Engineering and the Built Environment, Tshwane University of Technology, Pretoria, South AfricaFaculty of Engineering and the Built Environment, University of Pretoria, Pretoria, South AfricaSchool of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, Johannesburg, South AfricaThis work provides a comprehensive review of numerical simulation and optimisation of the shot peening found in the existing literature over the past 10 years. The review found that the developed numerical models coupling finite elements with discrete elements became increasingly mature and showed their advantages in incorporating flow behaviour and randomness of shots. High emphasis must be placed on the constitutive equations of target material where its strain-rate sensitivity, cyclic behaviour and Bauschinger effects are recommended to be incorporated in the numerical material model simultaneously since considering one of them in isolation may lead to unreliable distribution of residual stresses. Furthermore, material hardening is a critical benefit of shot peening; however, it has not received its deserved attention from the existing investigations, neither in simulation nor in optimisation. The study found that intensity and coverage are two critical control parameters recommended to be constraints for optimisation of shot peening. Finally, this work also found that developed heuristic algorithms, such as genetic algorithms have recently showed their advantages for searching optimal combinations of peening parameters. It is plausible that in the near future, the synergy of combining these algorithms with approximation models can be expected to gain more attention by researchers.https://doi.org/10.1177/1687814018818277
collection DOAJ
language English
format Article
sources DOAJ
author Jun S Chen
Dawood A Desai
Stephan P Heyns
Francesco Pietra
spellingShingle Jun S Chen
Dawood A Desai
Stephan P Heyns
Francesco Pietra
Literature review of numerical simulation and optimisation of the shot peening process
Advances in Mechanical Engineering
author_facet Jun S Chen
Dawood A Desai
Stephan P Heyns
Francesco Pietra
author_sort Jun S Chen
title Literature review of numerical simulation and optimisation of the shot peening process
title_short Literature review of numerical simulation and optimisation of the shot peening process
title_full Literature review of numerical simulation and optimisation of the shot peening process
title_fullStr Literature review of numerical simulation and optimisation of the shot peening process
title_full_unstemmed Literature review of numerical simulation and optimisation of the shot peening process
title_sort literature review of numerical simulation and optimisation of the shot peening process
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2019-03-01
description This work provides a comprehensive review of numerical simulation and optimisation of the shot peening found in the existing literature over the past 10 years. The review found that the developed numerical models coupling finite elements with discrete elements became increasingly mature and showed their advantages in incorporating flow behaviour and randomness of shots. High emphasis must be placed on the constitutive equations of target material where its strain-rate sensitivity, cyclic behaviour and Bauschinger effects are recommended to be incorporated in the numerical material model simultaneously since considering one of them in isolation may lead to unreliable distribution of residual stresses. Furthermore, material hardening is a critical benefit of shot peening; however, it has not received its deserved attention from the existing investigations, neither in simulation nor in optimisation. The study found that intensity and coverage are two critical control parameters recommended to be constraints for optimisation of shot peening. Finally, this work also found that developed heuristic algorithms, such as genetic algorithms have recently showed their advantages for searching optimal combinations of peening parameters. It is plausible that in the near future, the synergy of combining these algorithms with approximation models can be expected to gain more attention by researchers.
url https://doi.org/10.1177/1687814018818277
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