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Shubhabrata Datta
Shubhabrata Datta
SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu
Verified email at srmist.edu.in - Homepage
Title
Cited by
Cited by
Year
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
1192018
Soft computing techniques in avdancement of structural metals
S Datta, PP Chattopadhyay
International Materials Review, 2013
992013
Design of patient specific dental implant using FE analysis and computational intelligence techniques
S Roy, S Dey, N Khutia, AR Chowdhury, S Datta
Applied soft computing 65, 272-279, 2018
872018
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
682011
Effect of graphene on the properties of flax fabric reinforced epoxy composites
M Kamaraj, EA Dodson, S Datta
Advanced Composite Materials 29 (5), 443-458, 2020
642020
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
642008
Designing dual-phase steels with improved performance using ANN and GA in tandem
T Dutta, S Dey, S Datta, D Das
Computational Materials Science 157, 6-16, 2019
602019
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
582007
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
572007
Artificial intelligence based design of multiple friction modifiers dispersed castor oil and evaluating its tribological properties
S Bhaumik, SD Pathak, S Dey, S Datta
Tribology International 140, 105813, 2019
542019
Computational intelligence-based design of lubricant with vegetable oil blend and various nano friction modifiers
S Bhaumik, BR Mathew, S Datta
Fuel 241, 733-743, 2019
532019
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
522007
Incorporation of prior knowledge in neural network model for continuous cooling of steel using genetic algorithm
S Chakraborty, PP Chattopadhyay, SK Ghosh, S Datta
Applied Soft Computing 58, 297-306, 2017
472017
Computational intelligence based design of age-hardenable aluminium alloys for different temperature regimes
S Dey, N Sultana, MS Kaiser, P Dey, S Datta
Materials & Design 92, 522-534, 2016
462016
Analyses of tribological properties of castor oil with various carbonaceous micro-and nano-friction modifiers
S Bhaumik, S Datta, SD Pathak
Journal of Tribology 139 (6), 061802, 2017
452017
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
442009
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
432001
Design of the ultrahigh molecular weight polyethylene composites with multiple nanoparticles: An artificial intelligence approach
A Vinoth, S Datta
Journal of Composite Materials 54 (2), 179-192, 2020
422020
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
412009
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
402008
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