Predictioin Of Surface Roughness In Turning By Multiple Regression Model
Engineering and Technology Journal,
2008, Volume 26, Issue 9, Pages 1055-1060
AbstractIn this research, we propose statistical package for social sciences (SPSS), to
predict surface roughness in turning process. Two independent data sets were
obtained on the basis of measurement: training data set and testing data set.
Original length, diameter and selected length are used as independent input
variables (parameters), while surface roughness as dependent output variable. On
the basis of training data set, different models for surface roughness were
developed by multiple regression model. The multiple regression model by using
(SPSS) could predict the surface roughness (Ra) with average percentage deviation
of 4.6%, or 95.4%, accuracy from training data, and from testing data set that was
not included in the multiple regression analysis with average percentage deviation
of 7.9%, or accuracy of 92.1%.
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