Impact of Turning Parameters on AISI 420 Stainless Steel by CNC Machining
- DOI
- 10.2991/978-94-6239-668-5_45How to use a DOI?
- Keywords
- NNM; CLA; turning; martensitic stainless steel; surface roughness; mathematical model
- Abstract
The The basic purpose of this study was to determine the impact of machining parameters on the surface roughness of AISI 420 martensitic stainless during the CNC turning and develop a mathematical model. AISI 420 martensitic stainless steel was selected for machining with precise vibration-less machinery. Rotational speed, feed rate, and depth of cut were considered as input parameters while surface roughness was set as an output parameter. L27 orthogonal array was used to optimize the process parameters, ANOVA was calculated and regression model was developed. Through the CNC machine, the idea of the near net shape manufacturing (NNM) can be possible through optimization of machining parameters. The rotational speed selected 1000, 1500, 2000 rpm and feed picked as 0.1, 0.2, 0.3 mm/rev and depth of cut were selected as 0.25, 0.45, and 0.65 mm for observation. The best parameters were obtained was at 1000 rpm, 0.65 mm depth of cut and 0.3 mm/rev is best machining parameter for surface roughness value.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Saadat Ali Rizvi PY - 2026 DA - 2026/05/14 TI - Impact of Turning Parameters on AISI 420 Stainless Steel by CNC Machining BT - Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025) PB - Atlantis Press SP - 432 EP - 446 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6239-668-5_45 DO - 10.2991/978-94-6239-668-5_45 ID - Rizvi2026 ER -