Optimization of Machining of Hard Material

In real-life engineering problems, conducting practical experiments and collecting experimental data for analysis and evaluation in order to attain optimal solutions are difficult as compared to data-driven optimization of mathematical functions. In particular, the numerical modelling and simulation process yield solutions and the duration may vary from few seconds to hours depending on the complexity of problems to be solved. Moreover, the solution obtained may or may not be the global optimal solution. Numerical modelling and simulation task can only predict the outputs for set of inputs and needs many try-error runs, which may not yield optimal solutions. On the other hand, optimization tools are capable to locate the global solutions with very less computational efforts, iterations, and time.