Experimental Analysis of Machining Performances of CNC Milling Using AlTiN Coated Tungsten Carbide Tool (WC)

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Authors

  • Mohaned S. Jafar
     Mechanical Engineering Department, College of Engineering, Wasit University ,IQ
  • Bijan Mallick
     Mechanical Engineering Department, Global Institute of Management and Technology, Krishnanagar, Makaut - 741102, WB ,IN
  • Azzam Sabah Hameed
     Mechanical Engineering Department, College of Engineering, Wasit University ,IQ
  • Abhijit Chakraborty
     Mechanical Engineering Department, Global Institute of Management and Technology, Krishnanagar, Makaut - 741102, WB ,IN

DOI:

https://doi.org/10.18311/jmmf/2022/28997

Keywords:

Accuracy, CNC Milling, Desirability Function Analysis, FG 200, MRR, Optimization, SR, TWR

Abstract

Higher accuracy and precision are highly demandable in modern industry through computer-aided manufacturing technology. The paper deals with the parametric analysis for helix angle(°), radial depth of cut (mm), axial depth of cut (mm) and cutting speed(m/min) as well as the second-order mathematical modelling for Surface Roughness (SR) as surface texture (Ra), Tool Wear Rate (TWR) and machining rate as a form of Material Removal Rate (MRR) have been carried out. Analysis of Variances (ANOVA) is performed during helical profile cutting on cast iron based on modelling. Multi-response, as well as single objective optimization, has been done for finding the best process parameters setting for maximum MRR and minimum TWR and SR using desirability function analysis during profile cutting by advanced CNC milling. It is found that surface finish accuracy is increased with better surface quality and lower tool wear found with maximized MRR using AlTiN (aluminium titanium nitride) coated Tungsten carbide Tool (WC).

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Published

2023-04-04

How to Cite

Jafar, M. S., Mallick, B., Hameed, A. S., & Chakraborty, A. (2023). Experimental Analysis of Machining Performances of CNC Milling Using AlTiN Coated Tungsten Carbide Tool (WC). Journal of Mines, Metals and Fuels, 70(12), 665–674. https://doi.org/10.18311/jmmf/2022/28997

Issue

Volume 70, Issue 12, December 2022

Section

Articles

License

Copyright (c) 2023 Journal of Mines, Metals and Fuels

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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