A thermal-structural model for process performance analysis
by Chinmaya P. Mohanty; Siba Sankar Mahapatra; Jambeswar Sahu
International Journal of Productivity and Quality Management (IJPQM), Vol. 16, No. 3, 2015

Abstract: In the present study, a Box-Behnken design of experiment strategy is adopted to obtain necessary information from a proposed numerical simulation model using thermal-structural analysis with reduced number of runs. Influence of important process parameters on several output responses has been studied to gain insight into machining performance. The numerical model is validated through conducting necessary experiments. Subsequently, artificial neural network (ANN) is used to establish relation between input parameters and the responses. The model provides an inexpensive and time saving alternative to study the performance of machining before actual cutting operation. The model can be used for selecting ideal process states to improve machining efficiency.

Online publication date: Mon, 31-Aug-2015

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