Author/Authors
akkuş, harun amasya üniversitesi - teknik bilimler meslek yüksekokulu - otomotiv teknolojisi programı, amasya, Turkey , yaka, harun amasya üniversitesi - teknik bilimler meslek yüksekokulu - makine teknoloji programı, amasya, Turkey , uğur, levent amasya üniversitesi - teknik bilimler meslek yüksekokulu - otomotiv teknolojisi programı, Amasya, turkey
Title Of Article
Statistical analysis of surface roughness in turning process
شماره ركورد
40919
Abstract
In this study, for the turning of AISI 1040 steel that has cylindrical shape and hardened up to 46 HRc, Taguchi L16 experimental design was created according to the parameters of cutting speed, feed rate and cutting depth which consist from four levels. Formed in result of turning, the total surface roughness (Rt) were measured. Regression models have been built. Taguchi analyzes were carried out utilizing by MINITAB 14 Program for measured values of Rt. The closest results of the test results, generated for the Rt regression model, were obtained with 99.8% specify coefficients in order second degrees regression model. Signal/Noise (S/N) ratios were determined in design of the Taguchi. In ANOVA analysis, it was obtained as an effect of the 95% confidence level on Rt values in order feed rate, cutting depth and cutting speed. The result of the regression model and Taguchi analysis was determined as feed rate to be the optimum parameter for Rt values.
From Page
390
NaturalLanguageKeyword
AISI 1040 , Turning , Surface roughness , Multiple regression model , Taguchi
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
394
JournalTitle
Pamukkale University Journal Of Engineering Sciences
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