Tool-Life Testing by Response Surface Methodology Coupled with a Random Strategy Approach

  • R. Vilenchich
  • K. Strobele
  • R. Venter
Chapter

Summary

The paper presents a study of tool-life testing combining response surface methodology with Monte Carlo random strategy so as to obtain improved predictions with a 95% confidence level for the life of a tool used in machining operations. The analysis is based on a second-order model in which the tool-life is expressed as a function of the three not entirely independent variables, namely, speed, feed and depth-of-cut. The results and the reliability of the new model are discussed and compared with results obtained using the surface response methodology approach only.

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References

  1. 1.
    S. M. Wu. Tool-life testing by response surface methodology — Part 1. Journal of Engineering for Industry, May 1964.Google Scholar
  2. 2.
    S. M. Wu. Tool-life testing by response surface methodology — Part 2. Journal of Engineering for Industry, May 1964.Google Scholar
  3. 3.
    R. Vilenchich and R. Venter. An analytical method applicable to the determination of individual concentrations of components, resulting from gamma induced iodination of methane. Canadian Journal of Chemical Engineering, Vol. 48; 584–587, October 1970.CrossRefGoogle Scholar
  4. 4.
    N. L. Johnson and F. C. Leone, Statistics and experimental design in engineering and physics. John Wiley & Sons 1964.Google Scholar
  5. 5.
    E. H. Bowman and R. B. Fetter. Analysis for production and operations management. Richard D. Irwin, Inc. 1967.Google Scholar
  6. 6.
    An evaluation of the present understanding of metal cutting. Battelle Memorial Institute, August 1958.Google Scholar
  7. 7.
    R. T. Leslie and G. Lorenz. Comparison of multiple regression in machining experiments. Advances in Machine Tool Design and Research, vol. 8, Pergamon Press Ltd., 1967.Google Scholar
  8. 8.
    J. Taylor. Carbide cutting tool variance and breakage: unknown factors in machining economics. Advances in Machine Tool Design and Research, vol. 8, Pergamon Press Ltd., 1967.Google Scholar
  9. 9.
    P. Zachar. Applications of Computer Techniques to engineering problems. McMaster University, M.Eng. Thesis, 1972.Google Scholar

Copyright information

© Macmillan Publishers Limited 1973

Authors and Affiliations

  • R. Vilenchich
    • 1
  • K. Strobele
    • 2
  • R. Venter
    • 3
  1. 1.Windsor UniversityWindsorCanada
  2. 2.McMaster UniversityHamiltonCanada
  3. 3.de Beers Industrial Diamond DivisionJohannesburgSouth Africa

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