Gradient descent machine learning regression for MHD flow: Metallurgy process

Author:

Priyadharshini P.,Archana M. Vanitha,Ahammad N. Ameer,Raju C.S.K.,Yook Se-jin,Shah Nehad Ali

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference38 articles.

1. Recent developments and trends in sheet metal forming;Trzepiecinski;Metals,2020

2. Process kinetics, fluid flow, and heat and mass transfer, in process metallurgy;Roderick;Treat. Process Metall.,2014

3. Applications of computational fluid dynamics in optimisation and design of metallurgical processes;Johansen,1997

4. Study of the electromagnetic properties of a soft magnetic composite (SMC) composed of iron particle with thin layer of phosphate coating and its efficiency when applied to a low frequency magnetic field;Back;J. Electric. Syst.,2021

5. Study of heat and mass transfer with joule heating on magnetohydrodynamic (MHD) peristaltic blood flow under the influence of hall effect;Bhatti;Prop. Power Res.,2017

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