ANGGORO, P. WISNU and ANTHONY, ABET ADHY and BAWONO, BAJU and Jamari, J. and Bayusena, A.P and Tauviqirrahman, M and Nugroho, A. (2019) CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization. Journal of Mechanical Engineering and Sciences, 13 (3). pp. 5347-5370. ISSN 2289-4659
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Text (P. W. Anggoro - A. A. Anthony - B. Bawono - J. Jamari - A. P. Bayuseno - M. Tauviqirrahman - A. Nugroho)
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Abstract
CNC milling strategy of EVA foam with varying hardness to provide a high degree of surface roughness of orthotic shoe insoles is presented in this work. Machining parameters (spindle speed, feed rate, tool path strategy, and step over) in addition to hardness material and wide tolerance insoles were optimized using a hybrid approach of Taguchi-Response Surface Methods (TM-RSM). The aim of this exploration was to develop mathematical models and determine the optimum machining parameters which could be applied for the CNC milling of EVA foam as the insoles. The research was implemented on the CNC milling machine with a standard milling cutter and run under dry coolants. The outcomes of the six parameters on the average values of surface roughness were initially analyzed by an S/N ratio of TM. Optimal conditions were stablished from the TM and then used to determine the optimum values in RSM modeling. The final results indicate the significant improvement of percentages (0.24% and 4.13%) in the surface roughness of the insoles obtained with TMRSM as compared to the TM analysis. It is envisaged the present study would add to the understanding of production for orthotic shoe insoles through CNC milling.
Item Type: | Article |
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Uncontrolled Keywords: | EVA foam; CNC milling; RSM; Taguchi; surface roughness; optimization. |
Subjects: | Teknik Industri > Sistem Manufacturing |
Divisions: | Fakultas Teknologi Industri > Teknik Industri |
Depositing User: | Editor UAJY |
Date Deposited: | 09 Oct 2020 03:53 |
Last Modified: | 09 Oct 2020 03:53 |
URI: | http://e-journal.uajy.ac.id/id/eprint/22149 |
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