Items where Author is "Hore, S"

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Number of items: 16.

Article

Hore, S and Das, Suchandan K and Humane, M M and Peethala, A K (2019) Neural Network Modelling to Characterize Steel Continuous Casting Process Parameters and Prediction of Casting Defects. Transactions of the Indian Institute of Metals (IF-1.176). pp. 3015-3025.

Hore, S and Das, S K (2019) Computer simulation of microstructure evolution in strip-cast silicon steel with cube and fibre texture. Philosophical Magazine (IF-1.855). pp. 2841-2857.

Kamaraj, A and Hore, S and Sathyamoorth, P (2017) Estimation and Analysis of Excess Oxygen Input into Ladle During Liquid Steel Tapping. Transactions of the Indian Institute of Metals, 70(9) (IF-0.533). pp. 2465-2476.

Hore, S and Das, Suchandan K and Banerjee, S and Mukherjee, S (2017) An adaptive neuro-fuzzy inference systembased modelling to predict mechanical properties of hot-rolled TRIP steel. Ironmaking & Steelmaking, 44(9) (IF-0.985). pp. 656-665.

Hore, S and Das, S K and Banerjee, S and Mukherjee, S (2016) An adaptive neuro-fuzzy inference system-based modelling to predict mechanical properties of hot-rolled TRIP steel. Ironmaking & Steelmaking , 44(9) (IF-0.985). pp. 1-10.

Hore, S and Das, Suchandan K and Banerjee, S and Mukherjee, S (2015) Computational modelling of static recrystallization and two dimensional microstructure evolution during hot strip rolling of advanced high strength steel. Journal of Manufacturing Processes, 17 (IF-1.528). pp. 78-87.

Hore, S and Das, Suchandan K and Banerjee, S and Mukherjee, S (2013) A multiscale coupled Monte Carlo model to characterize microstructure evolution during hot rolling of Mo-TRIP steel. Acta Materialia, 61 (IF-3.941). pp. 7251-7259.

Hore, S and Das, Suchandan K and Banerjee, S and Mukherjee, S (2012) Monte Carlo simulation of influence of reheat temperature on austenite grain growth in C‐Mn steel. Materials Science and Technology, 28(6) (IF-0.751). pp. 711-718.

Hore, S and Das, Suchandan K and Singh, Ratnakar and Bhattacharyya, K K (2012) Efficiency Study of a Water-Only Cyclone by Experimental and Data Modeling Techniques when Cleaning Indian Coal Fines. International Journal of Coal Preparation and Utilization, 32 (4). pp. 193-209.

Hore, S and Ghosh, R N (2011) Computer simulation of the high temperature creep behaviour of Cr–Mo steels. Materials Science and Engineering A, 528 (19-20). pp. 6095-6102.

Hore, S and Das, Suchandan K and Godiwalla, K M and Bhattacharyya, K K and Singh, Ratnakar (2008) Performance characterization of water-only Cyclone for processing high ash Indian coal. Metals Materials and Processes, 20 (4). pp. 265-280.

Conference or Workshop Item

Hore, S and Das, Suchandan K (2013) Mathematical Modelling of Microstructure Evolution During Hot Strip Rolling of Trip Steel Using A Multi-Scale Framework. In: Proceeding of the international Conference on science and technology of ironmaking and steelmaking, December 16-18, 2013, CSIR-NML Jamshedpur.

Hore, S and Das, Suchandan K (2013) Monte Carlo simulation of microstructure evolution during thermo-mechanical rolling of steel using grid computing technology. In: National conference on Parallel Computing Technologies (PARCOMPTECH-2013), 21-23 FEB 2013, Bangalore.

Hore, S and Das, Suchandan K (2012) Monte Carlo Simulation of temperature dependence of grain growth kinetics in C-Mn Steel prior to hot rolling. In: Proceedings of the 3rd Asian Symposium on Materials & Processing (ASMP 2012), 30-31, August 2012, IIT Madras, Chennai.

Hore, S and Das, Suchandan K and Bhattacharyya, K K and Singh, Ratnakar (2011) Data-Based Performance Modelling of Hydrocyclone for Processing Iron Ore Fines. In: International Seminar on Mineral Processing Technology (MPT-2011), Oct 20, 2011, Udaipur, India.

Hore, S and Das, Suchandan K and Godiwalla, K M and Bhattacharyya, K K and Singh, Ratnakar (2007) Modelling performance of water-only cyclone as a gravity separator for fine coal cleaning. In: Advanced Gravity Separation, Aug 30 - Sept 1, 2007, NML Jamshedpur.

This list was generated on Thu Mar 28 12:33:13 2024 IST.