Using Deep Neural Network Predicting Tensile Strength of Hybrid Composites

Volume 20 No 7 (2022)

Vikrant Bhajantri, Vernika Rajora, Varun Taneja

DOI: 10.14704/nq.2022.20.7.NQ33064

Abstract

Hybrid icomposites imade ifrom iblending iof inatural iand isynthetic ifibers iin ia ipolymer imatrixishow isynergistic ieffect ion iproperties iwhich icanno itibe iachieved ifrom inormal icomposites. iHybridicomposite imaterials iare iused iin imany iengineering iapplications ifor itheir iversatileiproperties ili ikeilightweight, istrength ito iweight iratio, ilow icost, iease iofistructure idevelopment iand ihigh istrength

Keywords

iHybrid iComposites, iArtificial ineural inetworki(ANN), iVolume iFraction, iUltimate iTensile iStrength, iRegression

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