Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm

Krishnasamy Vijaykumar; Kavan Panneerselvam; Abdullah Naveen Sait

doi:10.3139/120.110623

Article

Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm

Krishnasamy Vijaykumar , Kavan Panneerselvam and Abdullah Naveen Sait

Published/Copyright: September 28, 2014

Published by

Become an author with De Gruyter Brill

Submit Manuscript Author Information

From the journal Materials Testing Volume 56 Issue 9

Abstract

Composite materials such as fiber-reinforced composites (FRP) are extensively used in today's industries such as aerospace, automotive, and shipping because of their high specific strength and high specific stiffness. In addition, they have good thermal resistance, corrosion resistance, damping resistance, and dimensional stability. But, due to the inhomogeneous composition of these materials, machining of composite materials becomes a major concern in the industry. For the present study, machining was carried out at a CFRP composite pipe with bidirectional carbon fiber. Based on the experimental results, regression analysis was conducted to determine the input-output relationships of the process. A mathematical model was developed to predict the responses, and correlation graphs were plotted. The regression equations were then plotted and the effects of each process parameter on the response were analyzed using the response surface methodology. The process parameters were then optimized using genetic algorithm to yield minimum cutting force and minimum surface roughness.

Kurzfassung

Kompositwerkstoffe, wie zum Beispiel faserverstärkte Komposite (fiber-reinforced composites – FRP) werden sehr häufig in der heutigen Industrie wegen ihrer hohen spezifischen Festigkeit und Steifigkeit verwendet, wie zum Beispiel im Bereich des Flugzeug-, Automobil- und Schhiffbaus. Zusätzlich besitzen sie gute thermische Resistenz, Korrosionsbeständigkeit, Dämpfungsfähigkeit sowie Dimensionsstabilität. Aber auf Grund der inhomogenen Natur dieser Materialien verursacht die maschinelle Bearbeitung von Kompositwerkstoffen erhebliche Probleme in der Industrie. Für die diesem Beitrag zugrunde liegende Studie wurde ein CFRP-Kompositrohr mit bidirektionaler Carbonfaser bearbeitet. Basierend auf den experimentellen Ergebnissen wurde eine Regressionsanalyse ausgeführt, um die Input-Output-Verhältnisse des Prozesses zu bestimmen. Es wurde ein mathematisches Modell zur Vorhersage der Antworten entwickelt sowie Diagramme für die Korrelation aufgestellt. Die Regressionsgleichungen wurden dann aufgetragen und die Effekte jedes Prozessparameters auf die Antwort mittels der Antwort-Oberflächen-Methodik analysiert. Die Prozessparameter wurden dann mittels genetischem Algorithmus optimiert, um die niedrigsten Schnittkräfte und Oberflächenrauheiten zu erreichen.

*Correspondence Address Dr. Abdullah Naveen Sait Department of Mechanical Engineering Chendhuran College of Engineering & Technology Pudukkottai 622 507, India E-mail: naveensait@yahoo.co.in

Mr. Krishnasamy Vijaykumar, born 1967, completed his M.Eng. in the year 1994 and B.Eng. in the year 1990 in mechanical engineering. Presently, he is working as head of the Department of Mechanical Engineering at Seshasayee Institute of Technology, Trichy, Tamilnadu, India.

Dr. Abdullah Naveen Sait born on 02.12.1976 obtained Ph.D. in the year 2008, Masters during 2001 and Bachelors in the 1998. Dr. Naveen Sait is carrying research in the field of Materials. Presently he is working with Chendhuran College of Engineering and Technology, Pudukkottai, Tamilnadu, India as Principal.

Dr. Kavan Panneerselvam obtained his Ph.D in the year 2009, Masters during 2003 and Bachelors in the year 1998. Basically, Dr. K. Pannerselvam is a Mechanical Engineer doing extensive research in the field of Advanced Manufacturing. Presently he is working with National Institute of Technology, Trichy, Tamilnadu, India as Assistant Professor in the Department of Production Engineering.

References

1 U. A.Khashaba: Delamination in drilling GFR thermoset composites, Composite Structures63 (2004), No. 3–4, pp. 313–32710.1016/S0263-82223(03)00180-6Search in Google Scholar

2 H. T.Lijima: Machinability of glass fiber-reinforced plastics and application of ultrasonic machining, CIRP Annals – Manufacturing Technology37 (1988), No. 1, pp. 93–9610.1016/S0007-8506(07)61593-5Search in Google Scholar

3 E.Eriksen: Influence of production parameters on the surface roughness of a machined short fiber-reinforced thermoplastic, International Journal of Machine Tools and Manufacture39 (1999), pp. 1611–161810.1016/S0890-6955(99)00017-6Search in Google Scholar

4 J. R.Ferreira, N. L.Coppini, G. W. A.Miranda: Machining Optimization in carbon fiber- reinforced composite materials, Journal of Materials Processing Technology92–93 (1999), pp. 135–14010.1016/j.procir.2014.04.028Search in Google Scholar

5 M.Rahman, S.Ramakrishna, J. R. S.Prakash, D. C. G.Tan: Machinability study of carbon fiber reinforced composite, Journal of Materials Processing Technology89–90 (1999), pp. 292–29710.1016/S0924-0136(99)00040.0Search in Google Scholar

6 K.Palanikumar, L.Karunamoorthy, R.Karthikeyan: Optimizing the machining parameters for minimum surface roughness in turning of GFRP composites using design of experiments, Journal of Material Science and Technology20 (2004), No. 4, pp. 373–378Search in Google Scholar

7 J. P.Davim, F.Mata: A new machinability study of GFRP using polycrystalline diamond and cemented carbide (K15) tools, Materials and Design28 (2007), No. 3, pp. 1050–105410.1016/j.matdes.2005.09.019Search in Google Scholar

8 J. P.Davim, F.Mata: A new machinability index in turning fiber-reinforced plastics, Journal of Materials Processing Technology170 (2005), No. 1–2, pp. 436–44010.1016/j.jmatprotec.2005.05.047Search in Google Scholar

9 N. S.Mohan, A.Ramachandra, S. M.Kulkarni: Influence of process parameters on cutting force and torque during drilling of glass fiber polyester-reinforced composites, Journal of Composite Structures71 (2005), pp. 407–41310.1016/j.compstruct.2005.09.039Search in Google Scholar

10 S.Aravindan, A. N.Sait, A. N.Haq: A machinability study of GFRP pipes using statistical techniques, International Journal of Advanced Manufacturing Technology37 (2008), No. 11–12, pp. 1069–108110.1007/s00170-007-1055-3Search in Google Scholar

11 A. N.Sait, S.Aravindan, A. N.Haq: Influence of machining parameters on surface roughness of GFRP pipes, Advances in Production Engineering and Management4 (2009), No. 1–2, pp. 47–58Search in Google Scholar

12 A. N.Sait, S.Aravindan, A. N.Haq: Investigation on Surface Damages on Machining Hand Lay-Up GFRP Composites, International Journal of Materials Science3 (2008), No. 3, pp. 275–288Search in Google Scholar

13 A. N.Sait, A. N.Haq, S.Aravindan: Experimental investigation on machining of filament wound GFRP pipe by cemented carbide (K20) cutting tool, International Journal of Machining and Machinability of Materials3 (2008), No. 3–4, pp. 364–38110.1504/IJMMM.2008.020971Search in Google Scholar

14 A. N.Sait: Optimization of machining parameters of GFRP pipes using evolutionary techniques, International Journal of Precision Engineering and Manufacturing11 (2010), No. 6, pp. 891–90010.1007/S12541-10-0108-ySearch in Google Scholar

15 V.Gunaraj, N.Murugan: Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes, Journal of Materials Processing Technology88 (1999), No. 1–3, pp. 266–27510.1016/S0924-0136(98)00405-1Search in Google Scholar

16 N. K.Jain, V. K.Jain, K.Deb: Optimization of process parameters of mechanical type advanced machining processes using genetic algorithm, International Journal of Machine Tools and Manufacture47 (2007), pp. 900–91910.1016/j.ijmachtools.2006.08.001Search in Google Scholar

Published Online: 2014-09-28

Published in Print: 2014-09-01

You are currently not able to access this content.

Articles in the same Issue

https://doi.org/10.3139/120.110623