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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-03-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814018818277 |
| _version_ | 1818546348415254528 |
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| author | Jun S Chen Dawood A Desai Stephan P Heyns Francesco Pietra |
| author_facet | Jun S Chen Dawood A Desai Stephan P Heyns Francesco Pietra |
| author_sort | Jun S Chen |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T07:52:00Z |
| format | Article |
| id | doaj.art-13ee2b4c53e3442e92a5c2d339e4fe68 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-12-12T07:52:00Z |
| publishDate | 2019-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-13ee2b4c53e3442e92a5c2d339e4fe682022-12-22T00:32:25ZengSAGE 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 |
| 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 |
| title | 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_short | 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 |
| url | https://doi.org/10.1177/1687814018818277 |
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