Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm
-
Krishnasamy Vijaykumar
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.
References
1 U. A.Khashaba: Delamination in drilling GFR thermoset composites, Composite Structures63 (2004), No. 3–4, pp. 313–32710.1016/S0263-82223(03)00180-6Suche 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)61593-5Suche 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)00017-6Suche 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.2014.04.028Suche 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)00040.0Suche 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. 373–378Suche 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.2005.09.019Suche 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.2005.05.047Suche 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.2005.09.039Suche 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/s00170-007-1055-3Suche 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. 47–58Suche 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. 275–288Suche 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.2008.020971Suche 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-ySuche 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)00405-1Suche 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.2006.08.001Suche in Google Scholar
© 2014, Carl Hanser Verlag, München
Artikel in diesem Heft
- Inhalt/Contents
- Inhalt
- Fachbeiträge/Technical Contributions
- Burst Strength of Composite Cylinders – Assessment of the Type of Statistical Distribution
- Effects of Zn/Cu Ratio and Silicon on Microstructure, Mechanical Properties, Tarnish and Corrosion Resistance of As-Cast 940 Silver Alloys
- Analysis of the Frequency as an Integral Method for the Testing of Anisotropic 3D Sheet Metal Structure
- Mechanical and Thermal Properties of a Cu-CNT Composite with Carbon Nanotubes Synthesized by CVD Process
- The Mechanical and Electrical Properties of the Ternary Bi-Ga-Sb System
- Experimental Investigation of the Corrosion Mechanism of Cemented Soils in Magnesium Sulfate Solution
- Experimental and Analytical Study of Masonry Constructions Reinforced with Bed Joints
- The Fracture Toughness of Fe2B Formed on Boronized AISI 304
- Effects of Ferroboron and Ferrochromium Powder Addition on Abrasive Wear Resistance of Fe-Based Hardfacing Coatings
- Fabrication of Al/Mg Bimetal Compound Casting by Lost Foam Technique and Liquid-Solid Process
- Effects of Si and Zn on Machinability and Wear Resistance of AZ91 and AS91 Magnesium Alloys
- DIRECTT-Rekonstruktionen im Vergleich zur gefilterten Rückprojektion
- Reduzierung von Missing-Wedge-Artefakten der CT mit DIRECTT
- Röntgentomografische Untersuchung eines kommerziellen Lithium-Ionen-Kondensators*
- Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm
- Investigation of Lost Foam Casted Aluminum Bimetal Microstructures
- Taguchi-Based Grey Relation Optimization of Machining Parameters and Cutting Path Strategies in CNC Pocket Milling Operations
- Reliable Evaluation of Acceptability of Weld for Final Disposal Based on the Canister Copper Weld Inspection Using Different NDT Methods
- Evaluation of the Reliability of NDTesting in Russian Railway Transport
- Vorschau/Preview
- Vorschau
Artikel in diesem Heft
- Inhalt/Contents
- Inhalt
- Fachbeiträge/Technical Contributions
- Burst Strength of Composite Cylinders – Assessment of the Type of Statistical Distribution
- Effects of Zn/Cu Ratio and Silicon on Microstructure, Mechanical Properties, Tarnish and Corrosion Resistance of As-Cast 940 Silver Alloys
- Analysis of the Frequency as an Integral Method for the Testing of Anisotropic 3D Sheet Metal Structure
- Mechanical and Thermal Properties of a Cu-CNT Composite with Carbon Nanotubes Synthesized by CVD Process
- The Mechanical and Electrical Properties of the Ternary Bi-Ga-Sb System
- Experimental Investigation of the Corrosion Mechanism of Cemented Soils in Magnesium Sulfate Solution
- Experimental and Analytical Study of Masonry Constructions Reinforced with Bed Joints
- The Fracture Toughness of Fe2B Formed on Boronized AISI 304
- Effects of Ferroboron and Ferrochromium Powder Addition on Abrasive Wear Resistance of Fe-Based Hardfacing Coatings
- Fabrication of Al/Mg Bimetal Compound Casting by Lost Foam Technique and Liquid-Solid Process
- Effects of Si and Zn on Machinability and Wear Resistance of AZ91 and AS91 Magnesium Alloys
- DIRECTT-Rekonstruktionen im Vergleich zur gefilterten Rückprojektion
- Reduzierung von Missing-Wedge-Artefakten der CT mit DIRECTT
- Röntgentomografische Untersuchung eines kommerziellen Lithium-Ionen-Kondensators*
- Machining Parameter Optimization of Bidirectional CFRP Composite Pipe by Genetic Algorithm
- Investigation of Lost Foam Casted Aluminum Bimetal Microstructures
- Taguchi-Based Grey Relation Optimization of Machining Parameters and Cutting Path Strategies in CNC Pocket Milling Operations
- Reliable Evaluation of Acceptability of Weld for Final Disposal Based on the Canister Copper Weld Inspection Using Different NDT Methods
- Evaluation of the Reliability of NDTesting in Russian Railway Transport
- Vorschau/Preview
- Vorschau