RSM is a mathematical and statistical method that helps to build the regression model, which relates the input variables to output variables.
Published in Chapter:
Optimization of Drilling Parameters for Composite Laminate Using Genetic Algorithm
Subham Pal (Indian Institute of Engineering Science and Technology, Shibpur, India) and Salil Haldar (Indian Institute of Engineering Science and Technology, Howrah, India)
Copyright: © 2021
|Pages: 23
DOI: 10.4018/978-1-7998-7206-1.ch013
Abstract
Composite materials are preferred mostly in recent times due to their durability and ample space of applicability. Drilling is also an essential process in manufacturing, and it is frequently done to assemble products. Delamination due to drilling of the CFRP composite is considered as the primary concern in the manufacturing and assembly process. In this chapter, the empirical model for thrust force, torque, entry-delamination factor, exit-delamination factor, and eccentricity of drilling of CFRP composite is developed based on the extensive experiment. Response surface methodology is accounted to formulate a mathematical modal considering thrust force, torque, entry and exit-delamination factor, and eccentricity as response parameter and spindle speed, feed rate, and point angle as a process parameter. ANOVA is performed to check the statistical significance of the mathematical model. GA is employed to trace the optimum values of three process parameters to minimize the five response parameters. The Pareto front curve for various combinations of process parameters is also examined.