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Title: | A Taguchi Approach for Investigation of Erosion of Glass Fiber - Polyester Composites |
Authors: | Patnaik, A Satapathy, Alok Mahapatra, S S Dash, R R |
Keywords: | Glass Fibre Reinforced Polyester Taguchi Method design of Experiment |
Issue Date: | 2008 |
Publisher: | Sage |
Citation: | Journal of Reinforced Plastics and Composites |
Abstract: | Polyester composites reinforced with three different weight fractions of woven E-glass fiber reinforcement are developed. To study the effect of various operational and material parameters on erosive wear behavior of these composites in an interacting environment, erosion test are carried out. For this purpose, an air jet type erosion test rig and the design of experiments approach utilizing Taguchi’s orthogonal arrays are used. The findings of the experiments indicate that erodent size, fiber loading, impingement angle and impact velocity are the significant factors in a declining sequence affecting the wear rate. Significance of erosion efficiency in identifying the wear mechanism is highlighted. It is confirmed that the glass-reinforced-polyester composites exhibit mostly semi-ductile erosion response. An optimal parameter combination is determined, which leads to minimization of erosion rate. Analysis of variance (ANOVA) is performed on the measured data and signal to noise (S/N) ratios. A correlation derived from the results of Taguchi experimental design is proposed as a predictive equation for estimation of erosion wear rate of these composites. It is demonstrated that the predicted results obtained using this equation are consistent with experimental observations. Finally, optimal factor settings for minimum wear rate are determined using genetic algorithm. |
Description: | Copyright for the published version belongs to Sage |
URI: | http://dx.doi.org/10.1177/0731684407085728 http://hdl.handle.net/2080/602 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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ssm-2008-jrpc.pdf | 344.65 kB | Adobe PDF | View/Open |
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