Optimization of Tangential Cutting Force in Turning Operation in Machining of Unidirectional Glass Fiber Reinforced Plastics

Document Type: Original Article

Author

Department of Mechanical Engineering, National Institute of Technology, Kurukshetra (NITK), INDIA

Abstract

In this paper, Taguchi method is applied to find optimum process parameters for turning UD-GFRP rods using polycrystalline diamond cutting tool. The process parameters considered include cutting speed, depth of cut, cutting environment (dry and wet) and feed rate. The experiments were conducted by L16 orthogonal array as suggested by Taguchi. Signal to Noise ratio and ANOVA are employed to analyses the effect of turning process parameter on the tangential cutting force. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process. The percent contributions of cutting speed (2.46%), depth of cut (73.82%), dry and wet (3.89%) and feed rate (8.02%) in affecting the variation of tangential force are significantly larger (95 % confidence level). It has been found that the wet cutting environment reduces the tangential force. Depth of cut is the factor, which has great influence on tangential force, followed by feed rate.

Keywords


[1]     Caprino G., Nele L., “Cutting Forces in Orthogonal Cutting of Unidirectional GFRP Composites Trans”, ASME, Journal Engineering Material Technology, Vol. 118, 1996, pp. 419-425.

[2]     Koplev A., Lystrup A., and Vorm T., “The Cutting Process, Chips and Cutting Forces in Machining CFRP”, Composites, Vol. 14, No.4, 1983, pp. 371-376.

[3]     Wang X. M., Zhang L. C., “Machining Damage in Unidirectional Fibre-Reinforced Plastics, in: Abrasive Technology: Current Development and Applications I”, World Scientific, Singapore, 1999, pp. 429–436.

[4]     Wang X. M., Zhang L. C., “An Experimental Investigation into the Orthogonal Cutting of Unidirectional Fibre-reinforced Plastics.”, International Journal Machine Tools Manufacturing, Vol. 43, 2003, pp. 1015–1022.

[5]     Mahdi M., Zhang L. C., “An Adaptive Three-Dimensional Finite Element Algorithm for the Orthogonal Cutting of Composite Materials”, Journal Material Processing Technology, Vol. 113, 2001, pp. 368–372.

[6]     Kim H. S., Ehmann K. F., “A Cutting Force Model for Face Milling Operations”, International Journal Machine Tools Des Res, Vol. 33, 1993, pp. 651–673.

[7]     Santhanakrishnan G., Krishnamurthy R., and Malhotra S. K., “High Speed Steel Tool Wear Studies in Machining of Glass Fibre-Reinforced Plastics”, Wear, Vol.132, 1989, pp. 327-336.

[8]     Sreejith P. S., Krishnamurthy R., and Malhotra S. K., “Effect of Specific Cutting Pressure and Temperature During Machining of Carbon/Phenolic Ablative Composite Using PCBN Tools”, Journal of Materials Processing Technology, Vol. 183, 2007, pp. 88–95.

[9]     Lee E. S., “Precision Machining of Glass Fibre Reinforced Plastics with Respect to Tool Characteristics”, International Journal Advanced Manufacturing Technology, Vol. 17, 2001, pp. 791–798.

[10]  Rao G. V. G., Mahajan P., and Bhatnagar N. “Micro-Mechanical Modeling of Machining of FRP Composites Cutting Force Analysis”, Composite Science Technology, Vol. 67, 2007, pp. 579–593.

[11]  Rao G., Mahajan P., and Bhatnagar N. “Machining of UD-GFRP Composites Chip Formation Mechanism”, Composites Science and Technology, Vol. 67, No. 11- 12, 2007, pp. 2271-2281.

[12]  Isik B., Kentli A., “Multicriteria Optimization of Cutting Parameters in Turning of UD-GFRP Materials Considering Sensitivity”, International Journal Advanced Manufacturing Technology, Vol. 44, 2009, pp. 1144–1153.

[13]  Mata F., Beamud E., Hanafi E., Khamlichi A., Jabbouri A., and Bezzazi M., “Multiple Regression Prediction Model for Cutting Forces in Turning Carbon-Reinforced PEEK CF30”, Advances in Materials Science and Engineering, 2010, pp. 1-7.

[14]  Hussain S. A., Pandurangadu V., and Palanikumar K., “Surface Roughness Analysis in Machining of GFRP Composite by Carbide Tool (K20)”, European Journal of Scientific Research, Vol. 41, No. 1, 2010, pp. 84-98.

[15]  Hussain S. A., Pandurangadu V., and Palanikumar K., “Cutting Power Prediction Model for Turning of GFRP Composites Using Response Surface Methodology”, International Journal of Engineering, Science and Technology, Vol. 3, No. 6, 2011, pp. 161-171.

[16]  Ntziantzias I., Kechaglas J., Fountas N., Maropoulos S., and Vaxevanidis N. M., “A Cutting Force Model in Turning of Glass Fiber Reinforced Polymer Composite”, International Conference on Economic Engineering and Manufacturing Systems Brasov, 2011, pp. 24-25.

[17]  Hussain S. A., Pandurangadu V., and Palanikumar K., “Machinability of Glass Fiber Reinforced Plastic (GFRP) Composite Materials”, International Journal of Engineering, Science and Technology, Vol. 3, No. 4, 2011, pp. 103-118.

[18]  Kumar S., Gupta M., Satsangi P. S., and Sardana H. K., “Multiple Regression Model for Cutting Force in Turning UD-GFRP Using Polycrystalline Diamond Cutting Tool”, International Journal of Advanced Engineering Technology, Vol. 3, Issue. 1, 2012, pp. 108-112.

[19]  Kumar S., Gupta M., Satsangi P. S., and Sardana H. K., “Optimization of Surface Roughness in Turning Unidirectional Glass Fiber Reinforced Plastics (UD-GFRP) Composites Using Polycrystalline Diamond (PCD) Cutting Tool”, Indian Journal of Engineering & materials sciences, Vol.B19, 2012, pp. 163-174.

[20]  Kumar S., Gupta M., and Satsangi P. S., “Multiple Performance Optimization in Machining of UD-GFRP Composites by a PCD Tool Using Distance – Based Pareto Genetic Algorithm (DPGA)”, Engineering Science and Technology, an International Journal, Vol. 2, Issue. 2, 2013, pp. 49-62.

[21]  Kumar S., Gupta M., and Satsangi P. S., “Optimization of Surface Roughness in Turning Unidirectional Glass Fiber Reinforced Plastic (UD-GFRP) Composite Using Carbide (k10) Cutting Tool”, Asian academic research journal of multidisciplinary, Vol. 1, Issue. 9, 2013, pp. 105-128.

[22]  Gupta M., Kumar S., “Multi-Objective Optimization of Cutting Forces in Turning of UD-GFRP Composite Using Taguchi Grey Relational Analysis”, Journal of Mechanical Engineering, Vol. 123, 2013, pp. 166-177

[23]  Gupta M., Kumar S., “Prediction of Surface Roughness in Turning of UD-GFRP Using Artificial Neural Network”, Mechanica Confab, Vol. 2, Issue. 3, 2013, pp. 46-56.

[24]  Gupta M., Kumar S, “Multi-Objective Optimization of Cutting Parameters in Turning Using Grey Relational Analysis”, International Journal of Industrial Engineering Computations. Vol. 4, 2013, pp. 547–558

[25]  Ravi, S., Balasubramanian, V., Babu, S., and Nemat Nasser, S., “Assessment of Factors Influencing the Fatigue Life of Strength Mis-Matched HSLA Steel Weldments”, Mater. Des. 25, 2004, pp. 125–135.

[26]  Ross P. J., “Taguchi Techniques for Quality Engineering”, McGraw-Hills Book Company, New York, 1988.