Abstract
The chatter in machining is an important topic in engineering, because its occurrence results in increasing flank wear, specific energy and surface roughness. The implementation issues and spindle system responses for cutting speed, feed rate, depth of cut, material hardness and non-stop duration of machining are investigated in this analysis. This study analyses the relation between the chatter frequency in machining and the weighted combined objective of the process which is used for implementing the indirect monitoring of flank wear from the experimentally observed chatter frequency. The optimisation techniques such as design of experiments (DoE), adaptive genetic algorithm (AGA), simulated annealing algorithm (SAA) and memetic algorithm (MA) are used in this analysis. The optimised combined objective values of different test conditions are correlated with the experimentally observed chatter frequency values of the corresponding test conditions, and it is well known that the monitoring of flank wear in machining is possible from the experimentally observed chatter frequency by considering surface roughness as constraint.
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