Bio-inspired helicoidal hemp/basalt/polyurethane rubber bio-composites: Experimental, numerical and analytical ballistic impact study with residual velocity prediction using artificial neural network

被引：0

作者：

Gowda, Darshan ^{[1
]}

Bhat, Ravi Shankar ^{[1
]}

机构：

[1] Department of Metallurgical and Materials Engineering, National Institute of Technology Karnataka, Surathkal, Manglore,575025, India

来源：

Industrial Crops and Products | 2024年 / 222卷

关键词：

The authors Darshan Gowda and Ravi Shankar Bhat would like to thank the Department of Metallurgical and Materials Engineering (MME) and Central research facility (CRF); National Institute of Technology Karnataka (NITK); Surathkal; Mangaluru; India for providing the fabrication and testing facilities;

D O I：

10.1016/j.indcrop.2024.119600

中图分类号：

学科分类号：

摘要：

引用

共 5 条

[1] Experimentation on dynamic compressive response of bio-inspired helicoidal structured Basalt/Hemp/polyurethane rubber sandwich composites
Gowda, Darshan
Mahesh, Vishwas
Mahesh, Vinyas
Ravishankar, Ks
MATERIALS TODAY COMMUNICATIONS, 2024, 38
[2] An analytical study on low velocity impact resistance behaviors of general bio-inspired helicoidal composite plates
Rao, Yanni
Xiong, Tao
Yao, Song
Zhao, Han
Wang, Kui
POLYMER COMPOSITES, 2024, 45 (06) : 5227 - 5243
[3] Prediction of wear behaviors of nickel free stainless steel-hydroxyapatite bio-composites using artificial neural network
Younesi, M.
Bahrololoom, M. E.
Ahmadzadeh, M.
COMPUTATIONAL MATERIALS SCIENCE, 2010, 47 (03) : 645 - 654
[4] Prediction and experimental validation approach to improve performance of novel hybrid bio-inspired 3D printed lattice structures using artificial neural networks
Ramakrishna Doodi
Bala Murali Gunji
Scientific Reports, 13
[5] Prediction and experimental validation approach to improve performance of novel hybrid bio-inspired 3D printed lattice structures using artificial neural networks
Doodi, Ramakrishna
Gunji, Bala Murali
SCIENTIFIC REPORTS, 2023, 13 (01)

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