Journal
COMPOSITES PART B-ENGINEERING
Volume 43, Issue 4, Pages 1791-1799Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compositesb.2012.01.007
Keywords
Polymer-matrix composites; Delamination; Machining; Multiple objective optimization
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High speed machining is now acknowledged to be one of the key manufacturing technologies to ensure high productivity and throughput. Drilling of CFRP, though a challenging task, is being performed successfully at low spindle speeds. However high speed drilling in CFRP thin laminates has not been explored much. This paper reports an experimental investigation of a full factorial design performed on thin CFRP laminates using K20 carbide drill by varying the drilling parameters such as spindle speed and feed rate to determine optimum cutting conditions. The hole quality parameters analyzed include hole diameter, circularity, peel-up delamination and push-out delamination. Analysis of variance (ANOVA) was carried out for hole quality parameters and their contribution rates were determined. Genetic Algorithm (GA) methodology was used in the multiple objective optimization (using MATLAB R2010a software) to find the optimum cutting conditions for defect free drilling. Tool life of the K20 carbide drill was predicted at optimized cutting speed and feed. (C) 2012 Elsevier Ltd. All rights reserved.
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