Wear Characteristics of Hybrid Polymer Composite Manufactured by Hand Layup Technique Using Fuzzy Logic Systems
Authors
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Department of Mechanical Engineering, PESCE, Mandya 571401 ,IN
Abdul Raheem -
Department of Industrial and Production Engineering, The National Institute of Engineering, Mysore 570008 ,INK. M. Subbaya
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Department of Mechanical Engineering, PESCE,Mandya 571401 ,INC. K. Vikram
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Department of Mechanical Engineering, PESCE, Mandya 571401 ,INSyed Imran Ali
DOI:
https://doi.org/10.18311/jmmf/2022/32040Keywords:
No Keywords.Abstract
Synthetic fiber reinforced composites have already been proved to be stronger and more durable. The composites are being globally used in all the possible fields like automobiles, aircraft and marine industry. The present work is an investigation on the wear behaviour of the hybrid polymer composites. In this experimental work, the carbon fibres are reinforced with vinyl ester, g-C3N4 and Si3N4 were used to obtain hybrid composite by hand layup technique. The experiments were designed according to Taguchi (L27) orthogonal array. Experiments are carried out using slurry abrasive wear testing machine to inspect the wear rate. Further, a fuzzy logic model is adopted for the estimation of sliding wear in hybrid composites by the experimental data. Results showed that estimated fuzzy logic outputs are compared to experimental results, which is very much satisfied with a mean error estimation of 0.27%, so that the fuzzy logic model can be efficiently used to compute the wear performance.
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References
Hao.Y.; Zhou, X; Shao, J; Zhu Y: Surface & Coatings Technology The influence of multiple fillers on friction and wear behaviour of epoxy composite coatings. Surface Coat. Technol. 362, 213-219, 2019. DOI: https://doi.org/10.1016/j.surfcoat.2019.01.110
K.M. Subbaya, N.Rajendra, Y.S. Varaddrajan, and B. Suresha, ”Multiple response optimization of three-body abrasive wear behaviour of graphite filled carbon-epoxy composites using grey-based Taguchi approach. Journal of Minerals And Materials Characterization And Engineering, 2012, 11, 876-884 DOI: https://doi.org/10.4236/jmmce.2012.119082
Azmi, A.I. Design of fuzzy logic model for the prediction of tool performance during machining of composite materials, Procedia Engineering 38 ( 2012 ) 208-217. DOI: https://doi.org/10.1016/j.proeng.2012.06.028
D. Rajamani*, Balasubramanian Esakki, P. Arunkumar, R. VeluFuzzy Logic-Based Expert System for Prediction of Wear Rate in Selective Inhibition Sintered HDPE Parts. Materials Today: Proceedings 5 (2018) 6072–6081. DOI: https://doi.org/10.1016/j.matpr.2017.12.212
Rajesh Prabha1, Edwin Raja Dhas. J2, Fuzzy logic- A decision Making tool for wear rate prediction in Aluminum Composite, ICRAAE 2017. DOI: https://doi.org/10.1109/ICRAAE.2017.8297230
Ambigai, S. Prabhu., ”Fuzzy logic algorithm based optimization of the tribological behaviour of Al-Gr-Si3N4 hybrid composite. Measurement 146 (2019), 736-748 DOI: https://doi.org/10.1016/j.measurement.2019.07.025
Balasubramaniam, Stalin, Nagaraj, Nagapras AD, Venkataraman, Vignesh, Manickam Ravichandran, Evaluation of mechanical and thermal properties of tamarind seed filler reinforced vinyl ester composites, Journal of vinyl and additive technology 24 January 2019
Agnivesh Kumar Sinha, Harendra Kumar Narang, Somnath bhattacharya, “Experimental determination, modelling and prediction of sliding wear of hybrid polymer composites using RSM and Fuzzy logic. Arabian Journal for Science and Engineering. 26 October 2020.
Dipen Kumar Rajak, Durgesh D, Ravindra Kumar, catalin I Pruncu. ”Recent progress of reinforcement materials: a comprehensive overview of composite materials”. Material Research Technology 2019, 8(6), 6354-6374. DOI: https://doi.org/10.1016/j.jmrt.2019.09.068
Jang JSR, Sun CT, Mizutani E (2004): Neuro-Fuzzy and soft computing- a computational approach to learning and machine Intelligence.Pearson Education, Pvt Ltd, Singapore, India Branch, 482 F.I.E., Patparganj, Delhi-110 092, India, pp. 24–25
A.Tamilarasan and K. Marimuthu, “Fuzzy and regression modelling of hard milling process”, Res. J. Appl. Sci. Eng. Technol., vol. 7, pp.3380-3386, 2014. DOI: https://doi.org/10.19026/rjaset.7.685
D.Rajamani and A. Tamilarasan, “Fuzzy and regression modelling for Nd: YAG laser cutting of Ti- 6Al-4V superalloy sheet, J. Manuf. Sci. Prod. vol. 13, pp. 1-10, 2016. DOI: https://doi.org/10.1515/jmsp-2016-0010
