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Prediction of Surface Roughness and Optimization of Machining Parameters in Drilling Process of Aluminum Alloy Al6061

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Prediction of Surface Roughness and Optimization of Machining Parameters in Drilling Process of Aluminum Alloy Al6061


Nguyen Hong Son | Nhu-Tung Nguyen



Nguyen Hong Son | Nhu-Tung Nguyen "Prediction of Surface Roughness and Optimization of Machining Parameters in Drilling Process of Aluminum Alloy Al6061" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.397-401, URL: https://www.ijtsrd.com/papers/ijtsrd30193.pdf

In this paper, an experimental research was conducted to investigate the influence of the tool diameter, spindle speed, and feed rate on the surface roughness in hole drilling process. The Box-Behken experimental matrix that was used with 15 experiments. The Minitab 16 software was used to evaluate the experimental results. The analyzed results showed that the spindle speed was a parameter that has the most important influence on the surface roughness. The second factors that affect on the surface roughness was tool diameter. And, the feed rate was the factor that has smallest effect on the surface roughness. The interaction factor between the tool diameter and the feed rate has the largest degree of the influence on the surface roughness, the second interaction factor that influenced on the surface roughness was the interaction between the diamter and the spindle speed. The interaction between the spindle speed and the feed rate has the smallest effect on the surface roughness. The suitable regression model of surface roughness is quadractic function. The predicted results of surface roughness are very close to the experimental values of that one. The genetic algorithm was used to find the optimal value of surface roughness. In this study, the optimum value of surface roughness was obtained for each case of drill tool diameter. The optimized cutting parameters was applied to improve the surface roughness with very satisfactory results. The optimum value of surface was quite small.

Al6061, cutting parameters, Drilling, prediction, optimization, surface roughness


IJTSRD30193
Volume-4 | Issue-3, April 2020
397-401
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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