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Experimental analysis and optimization of abrasive waterjet deep hole drilling process parameters for SS AISI 316L

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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