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Experimental investigation and prediction of wear behavior of cotton fiber polyester composites

Friction 2017年第2期5卷 183-193页

作者： Hiral H.PARIKH Piyush P.GOHIL Department of Mechanical Engineering School of Science and Engineering Navrachana University Vadodara 391410 India Department of Mechanical Engineering Faculty of Technology & Engineering the MS University of Baroda Kalabhavan Vadodara 390001 India

The cotton fiber reinforced polyester composites were fabricated with varying amount of graphite fillers (0,3,5 wt.％) with a hand lay-up *** tests were planned by using a response surface (Box Behnken method) design of experiments and conducted on a pin-on-disc machine (POD) test *** effect of the weight percentage of graphite content on the dry sliding wear behavior of cotton fiber polyester composite (CFPC) was examined by considering the effect of operating parameters like load,speed,and sliding *** wear test results showed the inclusion of 5 wt.％ of graphite as fillers in CFPC increase wear resistance compared to 3 wt.％ of graphite *** graphite fillers were recommended for CFPC to increase the wear resistance of the material.A scanning electron microscope (SEM) was used to study the wear *** predict the wear behavior of the composite material,comparisons were made between the general regression technique and an artificial neural network (ANN).The conformation test results revealed the predicted wear with the ANN was acceptable when compared with the actual experimental results and the regression mathematical models.

关键词： wear composites cotton fiber reinforced polyester composites artificial neural network pin-on-disc

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