摘要:Due to various added advantages over the conventional material removal processes, non-traditional
machining (NTM) processes have now been widely applied in different manufacturing industries.
To achieve the desired response values, it is always recommended to operate these NTM processes
at their optimal parametric settings. Various single response optimization techniques are already
available to determine the optimal combinations of NTM process parameters for achieving maximum
or minimum value of a single response. In this paper, a multivariate quality loss function
approach is adopted for simultaneous optimization of responses for three NTM processes. It is observed
that this approach outperforms the other multi-response optimization techniques, like desirability
function, distance function and mean squared error methods with respect to the achieved
response values. With modification of the corresponding objective function and constraints of the
developed non-linear programming problem, it can be effectively applied to any non-traditional as
well as conventional machining process as a multi-objective optimization tool.
关键词:Multivariate loss function
Quality
Non;traditional machining
process
Process parameter
Response
Optimization