Items where Author is "Mandal, Sumantra"

Article

Mandal, Sumantra ; Sivaprasad, P. V. ; Barat, P. ; Baldev Raj (2009) An overview of neural network based modeling in alloy design and thermomechanical processing of austenitic stainless steels Materials and Manufacturing Processes, 24 (2). pp. 219-224. ISSN 1042-6914

Mandal, Sumantra ; Sivaprasad, P. V. ; Venugopal, S. ; Murthy, K. P. N. ; Baldev Raj, (2008) Artificial neural network modeling of composition-process-property correlations in austenitic stainless steels Materials Science and Engineering A, 485 (1-2). pp. 571-580. ISSN 0921-5093

Mandal, Sumantra ; Mishra, S. K. ; Kumar, Anish ; Samajdar, I. ; Sivaprasad, P. V. ; Jayakumar, T. ; Baldev Raj, (2008) Evolution and characterization of dynamically recrystallized microstructure in a titanium-modified austenitic stainless steel using ultrasonic and EBSD techniques Philosophical Magazine, 88 (6). pp. 883-897. ISSN 1478-6435

Mandal, Sumantra ; Sivaprasad, P. V. ; Baldev Raj ; Subramanya Sarma, V. (2008) Grain boundary microstructural control through thermomechanical processing in a titanium-modified austenitic stainless steel Metallurgical and Materials Transactions A, 39 (13). pp. 3298-3307. ISSN 1073-5623

Mandal, Sumantra ; Sivaprasad, P. V. ; Dube, R. K. ; Baldev Raj (2007) Kinetics, mechanism and modeling of microstructural evolution during dynamic recrystallization in a 15Cr-15Ni-2.2Mo-Ti modified austenitic stainless steel Materials Science Forum, 550 . pp. 601-606. ISSN 0255-5476

Sivaprasad, P. V. ; Mandal, Sumantra ; Venugopal, Sridhar ; Narayanan, C. ; Shanmugam, V. ; Baldev Raj (2006) Artificial neural network modeling of the tensile properties of indigeneously developed 15Cr-15Ni-2.2Mo-Ti modified austenitic stainless steel Transactions of the Indian Institute of Metals, 59 (4). pp. 437-445. ISSN 0019-493X

Mandal, Sumantra ; Sivaprasad, P. V. ; Murthy, K. P. N. ; Baldev Raj, (2006) Modeling the hot deformation behaviour of a 15Cr-15Ni-2.2Mo-Ti modified austenitic stainless steel using artificial neural network Metals Materials and Processes, 18 . pp. 159-170. ISSN 0970-423X