Manipulation of Uncertainties in the Determination of Optimal Machining Conditions Under Multiple Criteria

Li Chen, S. S. Rao

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

In any real-world manufacturing situation, the problem of determining the optimum machining conditions involves not only empirical data but also imprecise information. Uncertain factors may need to be considered in the computational optimization process due to fuzziness present in the empirical equations and experimental data used. To manipulate the uncertainties in the optimization process, a fuzzy model is introduced and investigated. The fuzzy model quantifies the degree of certainty (or uncertainty) in the range 0 to 1. A numerical example is considered to illustrate the computational approach. The overall impact of the uncertain factors on the optimization process is assessed by comparing the present numerical results with those given by the traditional approach.

Original languageEnglish (US)
Pages (from-to)186-192
Number of pages7
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume119
Issue number2
DOIs
StatePublished - May 1997
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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