Tribological performance of nanographite-based metalworking fluid and parametric investigation using artificial neural network

被引：0

作者：

Rashmi, W. ^{[1
]}

Osama, M. ^{[1
]}

Khalid, M. ^{[2
]}

Rasheed, Ak ^{[2
]}

Bhaumik, S. ^{[3
]}

Wong, W.Y. ^{[4
]}

Datta, S. ^{[3
]}

Tcsm, Gupta ^{[5
]}

机构：

[1] Sustainable Energy and Green Technology Research Group, Faculty of Innovation and Technology, School of Engineering, Taylor’s University Lakeside Campus, Subang Jaya, Malaysia

[2] Graphene and Advanced 2D Materials Research Group (GAMRG), School of Science and Technology, Sunway University, No. 5, Jalan Universiti, Sunway City, Subang Jaya,Selangor,47500, Malaysia

[3] Tribology and Surface Interaction Research Laboratory, Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur,Tamil Nadu,603203, India

[4] Fuel Cell Institute, Universiti Kebangsaan Malaysia, Bangi,Selangor, Malaysia

[5] Research and Development, Apar Industries Limited, Mumbai, India

来源：

International Journal of Advanced Manufacturing Technology | 2019年 / 104卷 / 1-4期

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页码：359 / 374