Optimizing cutting conditions on sustainable machining of aluminum alloy to minimize power consumption

Rusdi, Nur and Muhammad, Arsyad Suyuti and Tri, Agus Susanto (2017) Optimizing cutting conditions on sustainable machining of aluminum alloy to minimize power consumption. AIP Conference Proceedings, 1855 (01001). pp. 1-7. ISSN 978-0-7354-1687-1

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Abstract

Aluminum is widely utilized in the industrial sector. There are several advantages of aluminum, i.e. good flexibility and formability, high corrosion resistance and electrical conductivity, and high heat. Despite of these characteristics, however, pure aluminum is rarely used because of its lacks of strength. Thus, most of the aluminum used in the industrial sectors was in the form of alloy form. Sustainable machining can be considered to link with the transformation of input materials and energy/power demand into finished goods. Machining processes are responsible for environmental effects accepting to their power consumption. The cutting conditions have been optimized to minimize the cutting power, which is the power consumed for cutting. This paper presents an experimental study of sustainable machining of Al-11%Si base alloy that was operated without any cooling system to assess the capacity in reducing power consumption. The cutting force was measured and the cutting power was calculated. Both of cutting force and cutting power were analyzed and modeled by using the central composite design (CCD). The result of this study indicated that the cutting speed has an effect on machining performance and that optimum cutting conditions have to be determined, while sustainable machining can be followed in terms of minimizing power consumption and cutting force. The model developed from this study can be used for evaluation process and optimization to determine optimal cutting conditions for the performance of the whole process.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Department of Mechanical Engineering > Teknik Mesin
Depositing User: Dr Rusdi Nur
Date Deposited: 18 Jun 2017 07:28
Last Modified: 21 Jun 2020 04:11
URI: http://repository.poliupg.ac.id/id/eprint/418

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