Optimization of Machining Parameters during Drilling of 7075 Aluminium Alloy

Abolfazl Golshan; Danial Ghodsiyeh; Soheil Gohari; Amran Ayob; B.T. Hang Tuah  Baharudin

doi:10.4028/www.scientific.net/AMM.248.20

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 248Optimization of Machining Parameters during...

Optimization of Machining Parameters during Drilling of 7075 Aluminium Alloy

Abstract:

Proper selection of drilling parameters is one of the significant challenges in drilling process. In this study, a new method for selection of optimal machining parameters during drilling operation is investigated. The present study deals with multiple-performance optimization of machining characteristics during drilling of 7075 aluminum alloy. The most commonly-used material in aerospace industry is aluminum alloy with zinc as the primary alloying element. The drilling parameters used for this experiment include cutting speed, feed rate and drill diameter while the two output parameters are surface roughness and dimension error. These outputs are specified to be optimized as a measure of process performance. The statistical model is generated from linear polynomial equations which are developed from different output responses when the machining parameters are changed. The Non-dominated Sorting Genetic Algorithm optimization results show high performance in solving the present problem.

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Periodical:

Applied Mechanics and Materials (Volume 248)

Pages:

20-25

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.248.20

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Online since:

December 2012

Authors:

Abolfazl Golshan, Danial Ghodsiyeh, Soheil Gohari, Amran Ayob, B.T. Hang Tuah Baharudin

Keywords:

7075 Aluminum Alloy, Dimension Error, Drilling, Non-Dominated Sorting Genetic Algorithm, Statistical Model, Surface Roughness (SR)

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