Multiple Performance Optimization of Machining Parameters on the Machining of GFRP Composites Using Carbide (K10) Tool

Abstract

The present investigation focuses on the multiple performance machining characteristics of GFRP composites produced through filament winding. Grey relational analysis was used for the optimization of the machining parameters on machining GFRP composites using carbide (K10) tool. According to the Taguchi quality concept, a L27, 3-level orthogonal array was chosen for the experiments. The machining parameters namely work piece fiber orientation, cutting speed, feed rate, depth of cut and machining time have been optimized based on the multiple performance characteristics including material removal rate, tool wear, surface roughness and specific cutting pressure. Experimental results have shown that machining performance in the composite machining process can be improved effectively by using this approach.

Keywords:

• ANOVA
• Carbide tool
• GFRP composites
• Grey relational analysis
• Grey relational grade
• Machining
• Metal removal rate
• Multiple performance characteristic
• Optimization
• Orthogonal array
• Specific cutting pressure
• Surface roughness
• Taguchi method
• Tool wear

Notes

Total mean of the Grey relational grade = 0.6401.

Improvement in grey relational grade: 0.102.