Influence of Control Parameters during Drilling of Aluminum Reinforced with HNT Hybrid Matrix Composites

Author:

Kumar Patnala Padma1,Ruban M.2ORCID,Daniel Ajith Arul1ORCID,Pugazhenthi R.1ORCID,Santhosh K.3ORCID

Affiliation:

1. Department of Mechanical Engineering, Vels Institute of Science,Technology and Advanced Studies, Chennai, India

2. Department of Automobile Engineering, Vels Institute of Science,Technology and Advanced Studies, Chennai, India

3. Department of Mechatronics, Wollo University, Kombalcha Institute of Technology, P.O. Box: 208, Kombolcha, Ethiopia

Abstract

The current paper aims to find the optimum control parameters such as weight percentage of HNT, weight percentage of boron nitride, drilling speed, and feed rate in drilling of aluminum hybrid metal matrix composites. The aluminum matrix material are reinforced with different weight percentage of HNT (3%, 5%, and 7%) and BN (2%, 3%, and 4%). The hybrid matrix are fabricated through the sir casting technique. The prediction of process parameter are optimized using Taguchi assisted grey relation analysis. Also the ANN model is developed to predict the output parameter. Through Taguchi S/N ratio method the effect of each control parameters are optimized. The results show that the weight percentage of HNT and feed rate are the most influencing parameters which affect the drilling of developed aluminum composites. The GRA results show that the optimum parameters are 3% of HNT, 4% of BN, 500 rpm drilling speed, and 20 mm/min in combination, which has minimum surface roughness, lower temperature, highest cutting force, and highest material removal rate.

Publisher

Hindawi Limited

Subject

General Engineering,General Materials Science

Reference23 articles.

1. Effect of fly ash and graphite addition on the tribological behavior of aluminium composites

2. Optimization of process parameters using Taguchi technique for drilling aAluminum matrix composites (LM6/B4C) IOP conference series: materials science and engineering;C. S. Rubi;IOP Publishing,2020,

3. Investigation on surface roughness in drilling of al/SiC/MoS 2 metal matrix composites;S. Ajith Arul Daniel,2021

4. Evaluation of mechanical and wear properties of hybrid aluminium matrix composites

5. Investigation on surface roughness of aluminium (Al7050/TiC/BN) hybrid metal matrix

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