Adnan Saifan, Silu Chen, Hongyan Miao, Yanbo Shen, Liming Yuan, Ran Zhu, Menggang Zhai, Bassiouny Saleh, Su Zhao, Yuanyuan Liu, Junqiang Liang, Chi Zhang and Guilin Yang
Article (2024)
An external link is available for this item
| Department: | Department of Mechanical Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/59581/ |
| Journal Title: | International Journal of Advanced Manufacturing Technology (vol. 135) |
| Publisher: | Springer |
| DOI: | 10.1007/s00170-024-14438-2 |
| Official URL: | https://doi.org/10.1007/s00170-024-14438-2 |
| Date Deposited: | 29 Oct 2024 13:18 |
| Last Modified: | 29 Oct 2024 13:18 |
| Cite in APA 7: | Saifan, A., Chen, S., Miao, H., Shen, Y., Yuan, L., Zhu, R., Zhai, M., Saleh, B., Zhao, S., Liu, Y., Liang, J., Zhang, C., & Yang, G. (2024). Data-driven modeling and optimization of a robotized multi-needle ultrasonic peen-forming process for 2024-T3 aluminum alloy. International Journal of Advanced Manufacturing Technology, 135, 827-849. https://doi.org/10.1007/s00170-024-14438-2 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
