Skip to main navigation Skip to main content
  • E-Submission

JKSPE : Journal of the Korean Society for Precision Engineering

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS
Article

Evaluation of Cutting Characteristics Using Multiple Regression Analysis

Young Moon Lee, Seung Il Jang, Jeong Woon Jun, Hyun Ho Bae
JKSPE 2004;21(10):20-25.
Published online: October 1, 2004
  • 2 Views
  • 0 Download
  • 0 Crossref
  • 0 Scopus
prev next

Using the multiple regression analysis cutting forces of turning processes have been predicted based on the cutting conditions such as feed rate(f), depth of cut(d), and cutting velocity(v). The statistical inference of the equation was checked by ANOVA test. The validity of the proposed regression analysis was verified by two sets of cutting tests of 27 cutting conditions and the additional cutting tests of 18 cutting conditions. From the results of analytical and experimental studies, it was found that there was no significant difference between the measured and predicted cutting forces. Also, the shear and friction characteristics of turning processes were analyzed with predicted cutting forces.

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Evaluation of Cutting Characteristics Using Multiple Regression Analysis
J. Korean Soc. Precis. Eng.. 2004;21(10):20-25.   Published online October 1, 2004
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Evaluation of Cutting Characteristics Using Multiple Regression Analysis
J. Korean Soc. Precis. Eng.. 2004;21(10):20-25.   Published online October 1, 2004
Close