A unified optimization model of a machining process for specified conditions of machined surface and process performance

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Abstract
This paper presents a unified optimization approach for the selection of the machining parameters that provide the maximum metal removal rate for any specified surface quality and tool life. The approach is based on models presented by Jang and Seireg (1989, 1990) for predicting surface roughness, maximum cutting temperature and residual stress distribution on the machined surface and utilizing machine tool parameters and cutting conditions. Numerical results show that the procedure can be used to considerable advantage in specifying the machining variables for developing the decision-making database of the machining process. The present unified model is proposed to represent a strategy for a robust adaptive control system in a machining process.

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