Multi-Objective Optimization Using Box-Behken Of Response Surface Methodology For High-Speed Machining Of Inconel 718

Kasim, Mohd Shahir and Che Haron, Che Hassan and A Ghani, Jaharah and Mohamad, Effendi and Raja Abdullah, Raja Izamshah and Md Ali, Mohd Amran and Saedon, Juri (2014) Multi-Objective Optimization Using Box-Behken Of Response Surface Methodology For High-Speed Machining Of Inconel 718. Applied Mechanics and Materials, 629 (-). pp. 487-492. ISSN 1660-9336

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This study was carried out to investigate how the high-speed milling of Inconel 718 using ball nose end mill could enhance the productivity and quality of the finish parts. The experimental work was carried out through Response Surface Methodology via Box-Behnken design. The effect of prominent milling parameters, namely cutting speed, feed rate, depth of cut (DOC), and width of cut (WOC) were studied to evaluate their effects on tool life, surface roughness and cutting force. In this study, the cutting speed, feed rate, DOC, and WOC were in the range of 100 - 140 m/min, 0.1 - 0.2 mm/tooth, 0.5 - 1.0 mm and 0.2 - 1.8 mm, respectively. In order to reduce the effect of heat generated during the high speed milling operation, minimum quantity lubrication of 50 ml/hr was used. The effect of input factors on the responds was identified by mean of ANOVA. The response of tool life, surface roughness and cutting force together with calculated material removal rate were then simultaneously optimized and further described by perturbation graph. Interaction between WOC with other factors was found to be the most dominating factor of all responds. The optimum cutting parameter which obtained the longest tool life of 60 mins, minimum surface roughness of 0.262 μm and resultant force of 221 N was at cutting speed of 100 m/min, feed rate of 0.15 mm/tooth, DOC 0.5 m and WOC 0.66 mm.

Item Type: Article
Uncontrolled Keywords: High-speed milling, Historical data, Inconel 718, Minimum quantity lubrication, Multi-objective optimization (MOP)
Divisions: Faculty of Manufacturing Engineering > Department of Manufacturing Process
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 20 Sep 2017 09:01
Last Modified: 04 Aug 2021 00:26
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