A REVIEW OF MODELLING AND OPTIMIZATION TECHNIQUES IN TURNING PROCESSES

The use of modelling and optimization methods in turning process is used to minimize the experimental runs and also to get best cutting condition. In modelling technique a mathematical equation based model is developed based on input and response parameter relationship to get optimum cutting condition. In optimization technique an objective function is formulated with or without mathematical model to get the cutting condition. Various modelling methods such as regression based modelling; artificial neural network (ANN), fuzzy modelling and various optimization methods such as response surface methodology (RSM), Taguchi methodology (TM) and genetic algorithm (GA) in turning operation are discussed. Multi objective optimization methods are also discussed in this article.