2018
DOI: 10.3390/app8071011
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Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear

Abstract: Manufacturing industries are gradually changing to green production due to the increasing production cost. Reducing tool wear in production can not only decrease production cost but also the effect the environment. Thus, it becomes a crucial issue for the machining industry. This study investigates the optimal machining parameters for the computer numerical controlled turning process of S45C steel in minimizing tool wear. The correlation between control parameters (speed, cutting depth, and feed rate) and prod… Show more

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Cited by 28 publications
(16 citation statements)
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“…Hence, a total of 13 experimental factors exist, with 3 13 = 1,594,323 combinations in total. This study adopted the Taguchi method with an orthogonally designed array to reduce the number of tests in obtaining the desired result and determining the best level of each experimental factor [24]. The experiment needs 13 best levels in total.…”
Section: Antibodies To Be Normal Packetsmentioning
confidence: 99%
“…Hence, a total of 13 experimental factors exist, with 3 13 = 1,594,323 combinations in total. This study adopted the Taguchi method with an orthogonally designed array to reduce the number of tests in obtaining the desired result and determining the best level of each experimental factor [24]. The experiment needs 13 best levels in total.…”
Section: Antibodies To Be Normal Packetsmentioning
confidence: 99%
“…Lan et al reported "Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear" [9]. This study investigated the optimal machining parameters for the computer numerical controlled turning process of S45C steel in minimizing tool wear.…”
Section: The Topics Of Applied System Innovationmentioning
confidence: 99%
“…The Taguchi method was usually employed to obtain the optimal process parameters in different applications [16][17][18][19][20], which was also used in the present study. The roundness, straightness and offset of the leaf springs are regarded as three responsive variables.…”
Section: Taguchi Experimentsmentioning
confidence: 99%