Experimental analysis and optimization of abrasive waterjet deep hole drilling process parameters for SS AISI 316L
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Experimental analysis and optimization of abrasive waterjet deep hole drilling process parameters for SS AISI 316L
|
|
| Автор |
Chandar, J, B.
Lenin, N. Kumar, S. Gupta, N. K. Karthick, A. Suriyan, R. Panchal, H. Kumar, A. Patel, A. Sadasivuni, K. K. |
|
| Тематика |
ABRASIVE WATERJET
DEEP HOLE DRILLING MATERIAL REMOVAL RATE OPTIMIZATION ROUNDNESS ASPECT RATIO INFILL DRILLING JETS SCANNING ELECTRON MICROSCOPY SURGERY SURGICAL EQUIPMENT ABRASIVE WATERJETS DEEP HOLE DRILLING DRILLING PARAMETERS EXPERIMENTAL ANALYSIS GRAY WOLVES MATERIAL REMOVAL RATE OPTIMISATIONS OPTIMIZATION ALGORITHMS ROUNDNESS ROUNDNESS DEVIATION OPTIMIZATION |
|
| Описание |
Recent breakthroughs in component downsizing and miniaturization emphasise the requirement for deep-hole drilling with an increased aspect ratio, especially in the automobile sector for fuel injectors and the medical sector for manufacturing bone screws or surgical equipment. In this research, deep hole drilling on stainless steel AISI 316L has been conducted using an Abrasive Waterjet Machine (AWJM), and the influence of drilling variables on the material removal rate, roundness deviation of drilled holes have been evaluated to assess the machining and hole characteristics. In addition, machining parameters’ statistical relevance has been investigated using a multi-parametric analysis of variance. Quadratic mathematical models for material removal rate and roundness deviation have been established by correlating drilling parameters. The Grey Wolf Optimization (GWO) algorithm has been applied in this research to identify the optimal combination of deep hole drilling parameters for maximizing material removal rate and minimizing the roundness deviation. The results have been compared with Derivative-free optimization, Whale optimization, and Harmony search algorithms. The comparison revealed that the GWO algorithm performed better than other algorithms. In addition, a validation test has been carried out to confirm the accuracy of the results produced by the GWO. The images obtained from the scanning electron microscope showed that the surfaces of the deep holes are smooth. Additionally, the ploughing action was shown to be the principal mechanism responsible for removing the material. © 2023 The Author(s)
Qatar National Research Fund, QNRF: MME03-1226-210042 This work was supported by Qatar National Research Fund under the grant no. MME03-1226-210042 . The statements made herein are solely the responsibility of the authors. |
|
| Дата |
2024-04-05T16:32:47Z
2024-04-05T16:32:47Z 2023 |
|
| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
|
| Идентификатор |
Chandar J, B, Lenin, N, Kumar, S, Gupta, NK, Karthick, A, Suriyan, R, Panchal, H, Kumar, A, Patel, A & Sadasivuni, KK 2023, 'Experimental analysis and optimization of abrasive waterjet deep hole drilling process parameters for SS AISI 316L', Journal of Materials Research and Technology, Том. 26, стр. 7984-7997. https://doi.org/10.1016/j.jmrt.2023.09.045
Chandar J, B., Lenin, N., Kumar, S., Gupta, N. K., Karthick, A., Suriyan, R., Panchal, H., Kumar, A., Patel, A., & Sadasivuni, K. K. (2023). Experimental analysis and optimization of abrasive waterjet deep hole drilling process parameters for SS AISI 316L. Journal of Materials Research and Technology, 26, 7984-7997. https://doi.org/10.1016/j.jmrt.2023.09.045 2238-7854 Final All Open Access, Gold https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171990819&doi=10.1016%2fj.jmrt.2023.09.045&partnerID=40&md5=696b4bd87a279c17104dc16c60c45cdc https://doi.org/10.1016/j.jmrt.2023.09.045 http://elar.urfu.ru/handle/10995/130794 10.1016/j.jmrt.2023.09.045 85171990819 001150060500001 |
|
| Язык |
en
|
|
| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
| Формат |
application/pdf
|
|
| Издатель |
Elsevier Editora Ltda
|
|
| Источник |
Journal of Materials Research and Technology
Journal of Materials Research and Technology |
|