Optimization of machining parameters in end milling of GFRP composites based on the Taguchi method with fuzzy logics

Abstract

Glass Fiber Reinforced Plastics (GFRP) composite is considered to be an economic alternative to various heavy exotic materials. It is widely used in a variety of applications from aircraft to machine tools due to their light weight, high modulus, specific strength and high fracture toughness. The m achining of composite is different from the conventional machining of metal due to the composite's anisotropic and non-homogeneous nature. This paper discusses the application of the Taguchi method with fuzzy logic to optimize the machining parameters for machining of GFRP composites with multiple characteristics. A multi-response performance index (MRPI) was used for optimization. The machining parameters viz., Tool geometry (helix angle of the end mill cutter), spindle speed, feed rate, depth of cut and work piece (fiber orientation), were Optimized with consideration of multiple performance characteristics viz., machining force, delamination, surface roughness and material removal rate. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process.