Optimization of the Process Parameters in Milling of Aluminum Alloys

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In order to control the temperature during milling process of aluminum alloys and keeping as minimum as possible, the choice of the cutting parameters and their optimization is very important, both for the tool wear but also for the surface quality of machined surface. The main purpose of this paper is to find the optimum values of the milling parameters (rotational speed and depth of cut) so that the minimum value for the temperature to be obtained. Using adequate experimental conditions with contact measurements techniques (thermocouple K-type) carried out on the some types of aluminum alloys and the appropriate statistical instruments, the most influencing cutting parameters and their values on the cutting temperature can be found. The results are presented both analytical and graphical.

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293-298

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February 2020

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© 2020 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. Bajić, S. Jozić, S. Podrug, Design of Experiment's Application in the Optimization of Milling Process, Metalurgija 49 (2010) 2, 123-126.

Google Scholar

[2] F. Nagarwala, P. Mankikar, V.S. Kanthale, Design of Experiments for optimization of Cutting Parameters for Turning of AA7075 aluminium alloy, MITCOE, &DIAT, Pune, AMET-2017, IJCET INPRESSOSpecial Issue-7, pp.27-31.

Google Scholar

[3] N. Medina, V. Miguel, M.C. Manjabaca, A. Martinez, J. Ayllon and J. Coello, Influence of Turning Parameters on Cutting Temperature by Applying. Thermal Science: Year 2018, Vol. 22, No. 6A, pp.2539-2550.

DOI: 10.2298/tsci160803273m

Google Scholar

[4] S. Sakthivelu, T. Anandaraj, M. Selwi, Multi-Objective Optimization of Machining Conditions on Surface Roughness and MRR during CNC End Milling of Aluminium Alloy 7075 Using Taguchi Design of Experiments, Mechanics and Mechanical Engineering, Vol.21,No.1(2017, p.95–103.

Google Scholar

[5] B. Durakovic, Design of Experiments Application, Concepts, Examples: State of the Art, Periodicals of Engineering and Natural Sciences Vol 5, No 3, December 2017, p.421‒439, ISSN 2303-4521.

DOI: 10.21533/pen.v5i3.145

Google Scholar

[6] N. L. Bhirud, N., R.R. Gawande, Optimization of Process Parameters During End Milling and Prediction of Work Piece Temperature Rise, Archive of Mechanical Engineering, Vol. LXIV, 2017, Number 3, pp.327-346.

DOI: 10.1515/meceng-2017-0020

Google Scholar

[7] P.S. Sivasakthivel, R. Sudhakaran, Optimization of machining parameters on temperature rise in end milling of Al 6063 using response surface methodology and genetic algorithm, Int. J. Adv. Manuf. Technol. (2013) 67:2313–2323.

DOI: 10.1007/s00170-012-4652-8

Google Scholar

[8] M. Santhanakrishnan, P.S. Sivasakthivel, R. Sudhakaran, Modeling of geometrical and machining parameters on temperature rise while machining Al 6351 using response surface methodology and genetic algorithm, J Braz. Soc. Mech. Sci. Eng. (2017) 39:487–496.

DOI: 10.1007/s40430-015-0378-5

Google Scholar

[9] Al. Stanimir, I. Pascu, Proiectarea Experimentelor-cu aplicatii in fabricatia produselor mecanice (in romanian), Editura Genessa, Craiova, (2014).

Google Scholar