Effect of alloy composition on machining parameters and surface quality through comprehensive analysis

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Abstract

This study examined the influence of alloy composition (mild steel and aluminium) on several machining parameters, such as temperature, cutting force, surface roughness, and chip morphology. Significant variations in these parameters were detected by modifying the alloys while maintaining constant process conditions. In mild steel, rotating speed affected chip morphology, with elevated speeds resulting in continuous chips and reduced rates yielding shorter chips. The augmented rake angle affects the chip properties, resulting in a little decrease in chip length. Moreover, the cutting force influenced the chip length at a designated rotational speed. Conversely, aluminium alloys continuously generated continuous chip fragments irrespective of cutting speed or rake angle. Favourable correlation coefficients are noted among the variables, and a regression model is effectively developed and utilized on the experimental data. The random forest model indicates that material selection significantly influences temperature, cutting force, surface roughness, and chip morphology during machining. This study offers significant insights into the correlation between tool rake angle and other machining parameters, elucidating the elements that influence surface quality. The results enhance comprehension of machined surface attributes, facilitating the optimization of machining operations for various materials.

About the authors

Agari Shailesh Rao

Nitte Meenakshi Institute of Technology

Author for correspondence.
Email: shailesh.rao@nmit.ac.in
ORCID iD: 0000-0001-6190-9857

PhD, Professor, Department of Mechanical Engineering

Индия, 560064, India, Bangalore, Yelahanka, P.B. No. 6429

Srilatha Rao

Nitte Meenakshi Institute of Technology

Email: srilatha.rao.p@nmit.ac.in
ORCID iD: 0000-0003-3691-8713

PhD, Professor

Индия, 560064, India, Bangalore, Yelahanka, P.B. No. 6429

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