Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/44720
Title: Development and characterization of glass/polyester composites filled with industrial wastes using statistical techniques
Authors: Ray, Subhrajit
Rout, Arun Kumar
Sahoo, Ashok Kumar
Keywords: Polymer matrix composites;Industrial wastes;Mechanical properties;Tribological Properties;Taguchi Methodology
Issue Date: Jul-2018
Publisher: NISCAIR-CSIR, India
Abstract: A new class of polyester composites reinforced with E-glass fiber and filled with different weight proportions of granite and fly ash are fabricated. Mechanical and tribological properties of the composites are evaluated and compared. Between the two fillers chosen, fly ash filled composites shows better tensile, flexural, impact and erosion resistance than that of granite filled composites. Erosion wear experiments are conducted as per Taguchi design of experiment. The results indicate that impact velocity, filler content and impingement angle influence the wear rate significantly. Steady-state erosion experiment indicates improvement in erosion resistance of the unfilled samples with filler addition. Two predictive models, one based on artificial neural network and the other on mathematical approach are suggested. The predicted and experimental values of erosion rate are showing good agreement, and are confirming the remarkable ability of a well-trained neural network.
Page(s): 169-182
URI: http://nopr.niscair.res.in/handle/123456789/44720
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Appears in Collections:IJEMS Vol.25(2) [April 2018]

Files in This Item:
File Description SizeFormat 
IJEMS 25(2) 169-182.pdf2.22 MBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.