Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—The purpose of the present work is to highlights the research on GFRP composites and machining problems faced out by the manufactures. Fiber glass reinforced plastic, commonly known as fiberglass, was developed commercially during World War II. In 21st century, GFRP have been successfully substituted the traditional engineering materials and widely used in transportation, offshore and marine, spacecraft structures require high specific stiffness and strength but machining of GFRP is significantly different from conventional metals because they are isotropic and non homogeneity in nature which consist of distinctly different phases, so that their machining operation is characterized by uncontrolled intermittent fibre fracture causing oscillating cutting forces and critical bending stresses, poor surface finish in terms of fuzzing due to diverse/ crushed fibre. It is not easy for a manufacturer to obtain quantitative and consistent measures but it has been mainly assessed by three parameters including tool wear or tool life, cutting forces or power consumption and better surface finish. Therefore good machinability means less tool wear, low cutting forces and good surface finish. Factors such cutting parameters, vibration, tool wear and fiber orientations should be taken very carefully during machining to obtain favorable environment for best quality as well as productivity.
Index Terms—Bending stresses, Isotropic, Surface finish, Tool wear, FRP
Cite: Rajesh Kumar Verma, Saurav Datta, and Pradip Kumar Pal, "Machining of Unidirectional Glass Fibre Reinforced Polymers (UD-GFRP) Composites," International Journal of Mechanical Engineering and Robotics Research, Vol.4, No. 2, pp. 49-59, April 2015.
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