Simulation of Tool Flank Wear for Turning
Multi-Objective Optimization
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Economic selection of cutting conditions is an important task in the field of machining. The main problem faced in optimization of cutting conditions is that once selected the optimum cutting conditions do not remain optimum throughout the complete machining operation. This is due to the dynamic variations in the process parameters upon which the decision of optimization depends. So,there is a need to update the optimum cutting conditions continuously throughout the entire machining operation.To achieve this task the tool flank wear is measured by conducting experiments on lathe machine. The d...
Economic selection of cutting conditions is an important task in the field of machining. The main problem faced in optimization of cutting conditions is that once selected the optimum cutting conditions do not remain optimum throughout the complete machining operation. This is due to the dynamic variations in the process parameters upon which the decision of optimization depends. So,there is a need to update the optimum cutting conditions continuously throughout the entire machining operation.To achieve this task the tool flank wear is measured by conducting experiments on lathe machine. The data values obtained from experiments are used to develop an equation for tool wear as function of speed, feed and time using Response Surface Methodology. This equation is used in simulation of multi objective optimization of turning operation.
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