Technical gazette, Vol. 32 No. 6, 2025.
Original scientific paper
https://doi.org/10.17559/TV-20240613001771
Effect of Material Composition and Machining Parameters on Surface Quality and Wear in CNC Turning of AA7075 using Taguchi Design
R. Parthiban
orcid.org/0009-0003-1491-2879
; Department of Mechanical Engineering, Mother Terasa College of Engineering and Technology, 622102 Pudukkottai, India
*
U. Natarajan
; Government College of Engineering, Srirangam, Trichy, India
A. Kumaravadivel
; Department of Mechanical Engineering, Sir Issac Newton College of Engineering and Technology, Nagapattinam, India
* Corresponding author.
Abstract
This research examined the influence of cutting parameters on machining performance using Analysis of Variance (ANOVA) based on the Taguchi approach during CNC turning under wet conditions, employing AA7075 metal matrix and TNMG carbide inserts. Despite being an important characteristic, surface roughness was previously assessed due to its effect on the nose radius. Excellent surface finish quality may be produced with a machine working at high speeds, low feeds, and a big nose radius, achieving less than 0.718 µm. Thus, medium speeds and feed rate yielded poor material removal rates of 2.835 mm3/min, while nose radius enlargement enhanced MRR. The given conditions showed a smooth layer due to this aspect. Medium speed, rapid feed rate, and 0.1 mm nose radius reduced Tool wear rate (TWRs). Benefits included extended tool life, improved surface finish, and reduced tooling costs. Additionally, the alloy with BN (5%) + WC (5%) plus Mg (1%) had the lowest wear rate. Those findings suggest a balanced machining process with increased productivity, better surface quality, and longer turning tool life. The research paper provides precise numerical data on the effects of material removal rate, surface roughness, and tool wear rate, which are crucial to process optimization for CNC turning of AA7075 metal matrix under wet conditions and TNMG carbide inserts.
Keywords
AA7075; CNC turning; metal removal rate; microstructure; surface roughness; tool wear rate
Hrčak ID:
337704
URI
Publication date:
31.10.2025.
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