Development of an Empirical Model for Surface Roughness in a Non- Conventional Drilling Process-Evolutionary Approach

Prediction of surface roughness is essential in any machining process as it plays a vital role in determining the quality of components. The present work involves the development of an empirical model for surface roughness of a non-traditional hole-making method, friction drilling process based on a recently emerged evolutionary approach called Genetic programming (GP). The parameters such as drilling speed, feed rate, and tool angle are considered as the input variables. Based on two separate datasets the accurate model was established by GP.