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