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

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. 

by 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,

URL: https://www.ijtsrd.com/papers/ijtsrd30193.pdf

Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30193/prediction-of-surface-roughness-and-optimization-of-machining-parameters-in-drilling-process-of-aluminum-alloy-al6061/nguyen-hong-son

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