Machining Parameter Optimization of EVA Foam Orthotic Shoe Insoles
Author(s) -
Paulus Wisnu Anggoro,
Abet Adhy Anthony,
Mohammad Tauviqirrahman,
J. Jamari,
Athanasius Priharyoto Bayuseno,
Han Ay Lie
Publication year - 2020
Publication title -
international journal of engineering and technology innovation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
eISSN - 2226-809X
pISSN - 2223-5329
DOI - 10.46604/ijeti.2020.5099
Subject(s) - machining , response surface methodology , taguchi methods , materials science , ethylene vinyl acetate , coolant , mechanical engineering , numerical control , work (physics) , engineering , composite material , computer science , polymer , machine learning , copolymer
In this study, ethylene-vinyl acetate (EVA) foam orthotic shoe insoles with different surface roughnesses (Ra) are investigated in terms of CNC milling strategy. Based on a hybrid Taguchi-response surface methodology (TM-RSM) approach, machining parameters, including tool path strategy, spindle speed, feed rate, and step over, as well as material hardness, are of particular interest. The main aim of this work is to develop mathematical models and determine the optimum machining parameters. Experiments are conducted on a CNC milling machine with a standard milling cutter and run under dry coolants. The optimal conditions are established based on TM and then used to determine the optimum values in the RSM modeling. The main finding of the present work is that there are significant improvements in the Ra, by up 0.24% and 4.13%, and machining time, by up 0.43% and 0.41%, obtained with TM-RSM in comparison to TM analysis.
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