Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates |
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| Authors: | Vijayan Krishnaraj A Prabukarthi Arun Ramanathan N Elanghovan M Senthil Kumar Redouane Zitoune JP Davim |
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| Affiliation: | 1. PSG College of Technology, Coimbatore 641 004, India;2. University of Paul Sabatier, Toulouse 31077, France;3. University of Aveiro, Portugal;1. Department of Mechanical Engineering, QIS College of Engineering & Technology, Vengamukkapalem, Ongole, Prakasam(Dt.), A.P 523272, India;2. V.R Siddhartha Engineering College, Kanuru, Vijayawada, Krishna (Dt.), A.P 520007, India;1. Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA;2. School of Engineering and Computer Science, Washington State University Vancouver, Vancouver, WA, USA;3. Boeing Co., Renton, WA, USA;1. Mechanical Engineering Department, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid, Spain;1. ISEP/CIDEM, Instituto Superior de Engenharia do Porto, Centro de Investigação e Desenvolvimento em Engenharia Mecânica, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal;2. Instituto de Engenharia Mecânica e Gestão Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal;3. Graduate Program in Applied Informatics, Center of Technological Sciences, University of Fortaleza, Av. Washington Soares, 1321/J30, 60811-905 Fortaleza, CE, Brazil;1. Arts et Metiers ParisTech, LaBoMaP, rue Porte de Paris, 71250 Cluny, France;2. Université de Lyon, ENISE, LTDS, CNRS UMR5513, 58 rue Jean Parot, 42000 Saint-Etienne, France;3. EADS IW, 12 bis, rue Pasteur, 92152 Suresnes Cedex, France |
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| Abstract: | 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. |
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