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PRABAS BANERJEE
PRABAS BANERJEE
Senior Research Scholar, National Institute of Technology
Verified email at phd.nitdgp.ac.in
Title
Cited by
Cited by
Year
Flow forming of thin-walled precision shells
B Podder, P Banerjee, K Ramesh Kumar, NB Hui
Sādhanā 43, 1-16, 2018
162018
Forward and reverse modelling of flow forming of solution annealed H30 aluminium tubes
B Podder, P Banerjee, KR Kumar, NB Hui
Neural Computing and Applications, 1-13, 2018
92018
Study of the influences of process parameters on cold flow forming of Al-tubes
B Podder, P Banerjee, KR Kumar, NB Hui
Int J Mod Manuf Technol 11 (1), 95-106, 2019
62019
Finite element modeling of ring rolling process
P Banerjee, NB Hui
Materials Today: Proceedings 11, 843-848, 2019
42019
Development of ANFIS model for flow forming of solution annealed H30 aluminium tubes
B Podder, P Banerjee, KR Kumar, NB Hui
Solid State Phenomena 261, 378-385, 2017
42017
A study on the performance of various predictive models based on artificial neural network for backward metal flow forming process
P Banerjee, R Laha, MK Dikshit, NB Hui, S Rana, VK Pathak, KK Saxena, ...
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-10, 2022
32022
Modelling and optimization of mean thickness of backward flow formed tubes using regression analysis, particle swarm optimization and neural network
P Banerjee, NB Hui, MK Dikshit, R Laha, S Das
SN Applied Sciences 2, 1-12, 2020
32020
A simplified model for the estimation of forces in flow forming and its comparison with ideal deformation and FEM models
P Banerjee, N Hui
Journal of The Institution of Engineers (India): Series C 102, 13-26, 2021
22021
FE based simulation of forward flow forming process
P Banerjee, R Kundu, M Singh, PK Dubey, NB Hui
Int. J. Res. Mech. Eng 4 (2), 1-5, 2016
22016
Flow Forming of Tubes: Modeling and Optimization Using RSM, Composite Desirability Function, and TLBO
P Banerjee, NB Hui, M Dikshit, S Som
Advances in Materials and Manufacturing Engineering: Proceedings of ICAMME …, 2020
12020
Application of Adaptive Neuro-Fuzzy Inference System for Prediction of Mean Thickness in Backward Metal Flow Forming Process
P Banerjee, A Karmakar, N Hui
Acta Mechanica Slovaca 25 (2), 46-55, 2021
2021
FE MODELLING OF THREE DIMENSIONAL STAGGERED BACKWARD METAL FLOW FORMING PROCESS.
P Banerjee, NB Hui, MK Dikshit, S Som
International Journal of Modern Manufacturing Technologies (IJMMT) 13 (1), 2021
2021
FE ANALYSIS OF ROLLER FORCES AND DIAMETRAL GROWTH IN BACKWARD METAL FLOW FORMING PROCESS.
P Banerjee, NB Hui, B Musib, JP Davim
Journal of Manufacturing Technology Research 11, 2019
2019
Modelling and Sensitivity Analysis of Surface Roughness in High Speed Ball End Milling
ABP Prabas Banerjee,Mithilesh Dixit
International Conference on Recent Trends in Engineering and Technology …, 2017
2017
Finite Element Analysis of Ring Rolling Process for Analysing spring- back.
PBNB Hui
2nd International Conference on Emerging Materials: Characterization and …, 2017
2017
Microscale Centre Crack Growth Studies in Rheocast A356 (Al-Si-Mg) Alloy Using Extended Finite Element Method.
TI Prabas Banerjee, Prosenjit Das, Santanu Das
National Conference on Functional Materials Processing and Manufacturing …, 2016
2016
Modeling of Backward Metal Flow Forming Process
P Banerjee
Durgapur, 0
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