Abstract

Recently, the machining of composite materials has increased to a large extent to get the required shape and design during the assembly stage of Jute fiber reinforcement polymer (JFRP). The output performance of milled JFRP composite depends on the input machining parameter such as spindle speed, feed rate, and depth of cut. The output responses like tool wear, surface roughness (Ra), and delamination factor (Fd) affect the dimensional stability, structural integrity, and accuracy of the final product. The objective of this study to find out the most significant factor of the output performances on JFRP. In this machining study, the JFRP composite panels were fabricated according to the hand’s lay-up technique and the milling was done by using an uncoated carbide cutting tool. The DOE (Design of Experiment) tool was used to design the experimental table based on Response Surface Methodology (RSM). A Central Composite Design was used to analyze the data and the most significant factor that effect the output parameters. According to Analysis of variance (ANOVA), it was found that the feed rate has a significant influence on tool life, surface roughness, and delamination factor. The spindle speed has also an effect on output responses comparing to the depth of cut. Another objective of this research is to obtain an optimum setting of the input parameters and mathematical modeling equation to reduce the tool wear, surface roughness, and delamination factor. The optimum parameter of the input machining was found that the input parameter spindle speed 4293.88 rev/min, feed rate 150 mm/min, and depth of cut 1 mm in where the lowest surface roughness, delamination, and longer tool life would be achieved.

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