Application of Taguchi and response surface methodologies for surface roughness in machining glass fiber reinforced plastics by PCD tooling

This paper discusses the use of Taguchi and response surface methodologies for minimizing the surface roughness in machining glass fiber reinforced (GFRP) plastics with a polycrystalline diamond (PCD) tool. The experiments have been conducted using Taguchi’s experimental design technique. The cutting parameters used are cutting speed, feed and depth of cut. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimizing the surface roughness is determined. A second-order model has been established between the cutting parameters and surface roughness using response surface methodology. The experimental results reveal that the most significant machining parameter for surface roughness is feed followed by cutting speed. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the surface roughness in the machining of GFRP composites. The predicted values are confirmed by using validation experiments.

[1]  Else Eriksen,et al.  Influence from Production Parameters on the Surface Roughness of a Machined Short Fibre Reinforced Thermoplastic , 1999 .

[2]  R. Krishnamurthy,et al.  Studies on the machining of carbon/phenolic ablative composites , 1999 .

[3]  H. Takeyama,et al.  Machinability of Glassfiber Reinforced Plastics and Application of Ultrasonic Machining , 1988 .

[4]  W. König,et al.  Machining of Fibre Reinforced Plastics , 1985 .

[5]  J. Paulo Davim,et al.  Multiple regression analysis (MRA) in modelling milling of glass fibre reinforced plastics (GFRP) , 2004, Int. J. Manuf. Technol. Manag..

[6]  K. Palanikumar,et al.  Assessment of factors influencing surface roughness on the machining of glass fiber-reinforced polymer composites , 2006 .

[7]  Eun-Sang Lee,et al.  Precision Machining of Glass Fibre Reinforced Plastics with respect to Tool Characteristics , 2001 .

[8]  A. Koplev,et al.  The Cutting Process, Chips and Cutting Forces in Machining CFRP , 1983 .

[9]  S. G. Deshmukh,et al.  A genetic algorithmic approach for optimization of surface roughness prediction model , 2002 .

[10]  Jae-Seob Kwak,et al.  Application of Taguchi and response surface methodologies for geometric error in surface grinding process , 2005 .

[11]  T. G. Rogers,et al.  A Theory of Machining of Fiber-Reinforced Materials , 1971 .

[12]  T. R. Bement,et al.  Taguchi techniques for quality engineering , 1995 .

[13]  Y. Sahin,et al.  WITHDRAWN: Surface roughness model for machining mild steel , 2004 .

[14]  K. Palanikumar Studies on machining characteristics of glass fiber reinforced polymer composites , 2004 .

[15]  Shi-Jer Lou,et al.  In-Process Surface Roughness Recognition (ISRR) System in End-Milling Operations , 1999 .

[16]  R. Krishnamurthy,et al.  Machinability characteristics of fibre reinforced plastics composites , 1988 .

[17]  P. M. George,et al.  EDM machining of carbon–carbon composite—a Taguchi approach , 2004 .