Shubhabrata Datta
Shubhabrata Datta
SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu
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Cited by
Cited by
Soft computing techniques in avdancement of structural metals
S Datta, PP Chattopadhyay
International Materials Review, 2013
Exploring the effects of chemical composition in hot rolled steel product using Mahalanobis distance scale under Mahalanobis–Taguchi system
P Das, S Datta
Computational Materials Science 38 (4), 671-677, 2007
Effect of scandium on the microstructure and ageing behaviour of cast Al–6Mg alloy
MS Kaiser, S Datta, A Roychowdhury, MK Banerjee
Materials Characterization 59 (11), 1661-1666, 2008
Designing high strength multi-phase steel for improved strength–ductility balance using neural networks and multi-objective genetic algorithms
S Datta, F Pettersson, S Ganguly, H Saxén, N Chakraborti
ISIJ international 47 (8), 1195-1203, 2007
Genetic algorithms in optimization of strength and ductility of low-carbon steels
S Ganguly, S Datta, N Chakraborti
Materials and Manufacturing Processes 22 (5), 650-658, 2007
Designing cold rolled IF steel sheets with optimized tensile properties using ANN and GA
I Mohanty, D Bhattacharjee, S Datta
Computational materials science 50 (8), 2331-2337, 2011
Optimizing parameters of supervised learning techniques (ANN) for precise mapping of the input–output relationship in TMCP steels
S Datta, MK Banerjee
Scandinavian journal of metallurgy 33 (6), 310-315, 2004
Effect of thermomechanical processing on the microstructure and properties of a low carbon copper bearing steel
MK Banerjee, PS Banerjee, S Datta
ISIJ international 41 (3), 257-261, 2001
Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks
S Datta, F Pettersson, S Ganguly, H Saxen, N Chakraborti
Materials and Manufacturing Processes 23 (2), 130-137, 2008
Genetic algorithm-based search on the role of variables in the work hardening process of multiphase steels
S Ganguly, S Datta, N Chakraborti
Computational Materials Science 45 (1), 158-166, 2009
Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function
P Das, S Mukherjee, S Ganguly, BK Bhattacharyay, S Datta
Computational materials science 45 (1), 104-110, 2009
Simulating time temperature transformation diagram of steel using artificial neural network
M Kundu, S Ganguly, S Datta, PP Chattopadhyay
Materials and Manufacturing Processes 24 (2), 169-173, 2009
Effect of manganese partitioning on transformation induced plasticity characteristics in microalloyed dual phase steels
NR Bandyopadhyay, S Datta
ISIJ international 44 (5), 927-934, 2004
Analyses of anti-wear and extreme pressure properties of castor oil with zinc oxide nano friction modifiers
S Bhaumik, R Maggirwar, S Datta, SD Pathak
Applied Surface Science 449, 277-286, 2018
Composition–processing–property correlation of cold-rolled IF steel sheets using neural network
I Mohanty*, S Datta, D Bhattacharjee
Materials and Manufacturing Processes 24 (1), 100-105, 2008
Optimization of mechanical property and shape recovery behavior of Ti-(∼ 49at.%) Ni alloy using artificial neural network and genetic algorithm
A Sinha, S Sikdar (Dey), PP Chattopadhyay, S Datta
Materials & Design 46, 227-234, 2013
Dynamic discreduction using rough sets
P Dey, S Dey, S Datta, J Sil
Applied Soft Computing 11 (5), 3887-3897, 2011
Beneficial effect of scandium addition on the corrosion behavior of Al–Si–Mg–SiCp metal matrix composites
J Datta, S Datta, MK Banerjee, S Bandyopadhyay
Composites Part A: Applied Science and Manufacturing 35 (9), 1003-1008, 2004
Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
AK Nandi, K Deb, S Ganguly, S Datta
Applied Soft Computing 12 (1), 28-39, 2012
Mapping the input–output relationship in HSLA steels through expert neural network
S Datta, MK Banerjee
Materials Science and Engineering: A 420 (1-2), 254-264, 2006
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