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                                       Details for article 77 of 86 found articles
 
 
  Torque Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology
 
 
Title: Torque Prediction Model for Milling 618 Stainless Steel Using Response Surface Methodology
Author: K. Kadirgama
K.A. Abou-El-Hossein
Appeared in: Journal of applied sciences
Paging: Volume 6 (2006) nr. 3 pages 518-523
Year: 2006
Contents: The aim of this study was to develop the first and second order torque prediction model for milling 618 stainless steel with coated carbides cutting tool, using response surface methodology with 4 factors. From the model the equation that relates the factors (cutting speed, feed rate, axial depth and radial depth) with response (torque) can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. The model generated show that the torque reach the maximum value when cutting speed decreased and, feed rate, axial depth and radial depth are increased. The second order is more accurate based on the variance analysis and the predicted value is closer with the experimental result.
Publisher: Asian Network for Scientific Information (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 77 of 86 found articles
 
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