Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach
International Journal of Mechanical Engineering and Applications
Volume 5, Issue 3, June 2017, Pages: 136-154
Received: Mar. 18, 2017; Accepted: Apr. 6, 2017; Published: May 17, 2017
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Authors
Kanwal Jeet Singh, Department of Mechanical Engineering, Giani Zail Singh Campus College of Engineering and Technology, Bathinda, India
Inderpreet Singh Ahuja, Department of Mechanical Engineering, University College of Engineering, Punjabi University, Patiala, India
Jatinder Kapoor, Department of Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, India
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Abstract
Polycarbonate bullet proof and acrylic heat resistant glasses are used as the functional material in many industrial application. In automobile industries, banks and cabins, polycarbonate bullet proof glass has been used for security purpose. Similarly, acrylic heat resistant glass is used in furnace, microwaves, space craft and airplane applications. In this experimental research paper, Taguchi modal and Grey relational analysis are utilized for the ultrasonic drilling in these materials. For experimentation, input parameters are concentration, abrasive, grit size, power rating, hydrofluoric acid and tool materials. Output parameters are material removal rate, tool wear rate and surface roughness. In which, surface roughness is most significant output parameter, because it describe accuracy of the process. Through optimization analysis, Taguchi modal suggest that 40% abrasive concentration, mixture of (Alumina, Silicon carbide and Boron carbide) abrasive in 1:1:1, 600 grit of abrasive and 1.5% hydrofluoric acid gives best results for drilling in polycarbonate bullet proof glass material. Similarly, in acrylic heat resistant glass, mixture of Silicon carbide and Boron carbide (1:1), 600 grit abrasive and 1% hydrofluoric acid gives the optimum results. Concentration of slurry, abrasive grit size and hydrofluoric acid are the most significant parameters for ultrasonic drilling in both materials. Through Grey relational analysis the surface roughness is improved by 40% and 48% in polycarbonate (UL-752) and acrylic (BS-476) glass respectively.
Keywords
Polycarbonate, Acrylic, Glass, HF Acid, Taguchi, GRA, USM, Surface Roughness
To cite this article
Kanwal Jeet Singh, Inderpreet Singh Ahuja, Jatinder Kapoor, Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach, International Journal of Mechanical Engineering and Applications. Vol. 5, No. 3, 2017, pp. 136-154. doi: 10.11648/j.ijmea.20170503.12
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Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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