Analysis of Cutting Forces and Surface Roughness in Machining Al2219, Unhybrid and Hybrid Metal Matrix Nano Composites using CCD Design of Experiment

Authors

  • N G Siddeshkumar Department of Mechanical Engineering, Channabasaveshwara Institute of Technology, Tumkur, Karnataka 572216, India
  • R Suresh Department of Mechanical and Manufacturing Engineering, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka 560058, India
  • L Shivaramu Department of Mechanical and Manufacturing Engineering, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka 560058, India
  • G S Shiva Shankar Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumkuru, Karnataka 572103, India

DOI:

https://doi.org/10.48048/tis.2022.4499

Keywords:

Unhybrid, Hybrid nano MMCs, Surface roughness, Cutting force, RSM

Abstract

Nano Composites (nano MMCs) exhibit outstanding engineering properties like wear resistance, better stiffness, low density, and excellent ratio of strength to weight and so on. Unhybrid and hybrid nano MMC composites were fabricated using liquid metallurgical stir casting technique. Turning of Al2219 through TiN coated carbide tool was carried out to investigate surface roughness and cutting forces, by considering the cutting parameters like feed rate and speed. Response surface methodology (RSM) was used to design the experiments and to analyze the obtained results. The obtained results indicated that the cutting forces and surface roughness increases with increase in feed rate and decreases with increase in cutting speed. RSM displayed model and measured values are truly close to each other, which shows that created model can be effectively used to predict the cutting force and surface roughness on turning of MMCs. The predicted model values and obtained experimental values were close to each other with minimal error of 5 %, so the model is adequate.

HIGHLIGHTS

  • Nano Metal Matric Composites reinforced Al2219 with n-B4C & MoS2 particles successfully using stir casting
  • Feed rate is the key influencing factor and the cutting speed had slight influence on cutting force, surface roughness and tool wear
  • The experimental values obtained and predicted modeled values are within 5 % of each other, then the model is adequate


GRAPHICAL ABSTRACT

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Published

2022-05-31

Issue

Vol. 19 No. 11 (2022): Trends in Sciences, Volume 19, Number 11, 1 June 2022

Section

Research Articles

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