Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue
Suspension waterjet peening is an emerging technology for surface modification. Coverage is a key factor affecting the integrity of a modified material surface, however such an experimental method that can be utilized for precise control has not yet been established. To determine the numerical value...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/94650 |
| _version_ | 1848765894986039296 |
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| author | Ma, Y. Li, C. Sun, N. Liu, L. Lu, Chunsheng Wang, J. Zhang, B. |
| author_facet | Ma, Y. Li, C. Sun, N. Liu, L. Lu, Chunsheng Wang, J. Zhang, B. |
| author_sort | Ma, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Suspension waterjet peening is an emerging technology for surface modification. Coverage is a key factor affecting the integrity of a modified material surface, however such an experimental method that can be utilized for precise control has not yet been established. To determine the numerical value of coverage after surface peening treatment, In this paper, a coverage analytical method was proposed and then verified by the results through experiments. Furthermore, to explore the impact of high coverage on surface integrity, a large-scale coverage peening modification was performed on 18CrNiMo7-6 carburized steel specimens using a specialized suspension waterjet equipment. The results indicate that coverage has a significant impact on roughness and compressive residual stress field, with the highest improvement on surface and their maximum values reaching 51.6% and 24.7%, respectively. It is shown that the fatigue performance of the specimens can be significantly enhanced. |
| first_indexed | 2025-11-14T11:42:31Z |
| format | Journal Article |
| id | curtin-20.500.11937-94650 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:31Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-946502024-05-03T02:29:01Z Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue Ma, Y. Li, C. Sun, N. Liu, L. Lu, Chunsheng Wang, J. Zhang, B. Suspension waterjet peening is an emerging technology for surface modification. Coverage is a key factor affecting the integrity of a modified material surface, however such an experimental method that can be utilized for precise control has not yet been established. To determine the numerical value of coverage after surface peening treatment, In this paper, a coverage analytical method was proposed and then verified by the results through experiments. Furthermore, to explore the impact of high coverage on surface integrity, a large-scale coverage peening modification was performed on 18CrNiMo7-6 carburized steel specimens using a specialized suspension waterjet equipment. The results indicate that coverage has a significant impact on roughness and compressive residual stress field, with the highest improvement on surface and their maximum values reaching 51.6% and 24.7%, respectively. It is shown that the fatigue performance of the specimens can be significantly enhanced. 2023 Journal Article http://hdl.handle.net/20.500.11937/94650 10.1088/2053-1591/acdfa9 http://creativecommons.org/licenses/by/4.0 fulltext |
| spellingShingle | Ma, Y. Li, C. Sun, N. Liu, L. Lu, Chunsheng Wang, J. Zhang, B. Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title | Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title_full | Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title_fullStr | Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title_full_unstemmed | Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title_short | Analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| title_sort | analytical model for predicting coverage in suspension waterjet shot peening and its influence on fatigue |
| url | http://hdl.handle.net/20.500.11937/94650 |