Journal
INTERNATIONAL JOURNAL OF PLASTICS TECHNOLOGY
Volume 20, Issue 1, Pages 42-56Publisher
SPRINGER INDIA
DOI: 10.1007/s12588-016-9139-2
Keywords
CSP; NFPRP; Thrust force; Torque; Regression model; SPSS
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During the last few years, natural fiber (Sisal) have received much more attention than ever before from the research community. They have an outstanding potential as reinforcement in thermosets, the reinforcing materials are strong with low densities while the matrix is usually a ductile, or tough, material. The natural fiber Reinforced polymer composite materials used in general engineering applications, utilize the advantages offered by renewable resources for the development of polymer composite materials based on polymers, natural fibers and natural shell particles has been made through fabrication of Natural fiber and particulates reinforced polymer (NFPRP) composite material by using vinyl ester resin. Drilling of holes is an important machining operation to determine the assembly operations in complicated composite parts used in engineering applications. The present work focuses on optimization of the operating variable, tool geometry and the prediction of thrust force and torque of the NFPRP composite materials, and the values, compared with the Regression model and the Scheme of Delamination factor using machine vision system.
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