Estimation of finish cooling temperature by artificial neural networks of backpropagation during accelerated control cooling process
Authors:
- Hwan Suk LimHLHwan Suk Lim
- Yong Tae KangYKYong Tae Kang
- 1 November 2018
- journal article
- research article
- Published by Elsevier in International Journal of Heat and Mass Transfer
- Vol. 126, 579-588
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Trade, Industry and Energy (20172010105000)
- Ministry of Trade, Industry and Energy (20172010105000)
- Korea Institute of Energy Technology Evaluation and Planning (20172010105000)
This publication has 26 references indexed in Scilit:
- Structure and properties of H-beams after accelerated water coolingSteel in Translation, 2017
- Microstructural Evolution and Mechanical Properties of Low C-Mn Steels Subjected to Accelerated CoolingMaterials Science Forum, 2017
- Refined and Uniform Microstructure with Superior Mechanical Properties in Medium Plate Microalloyed Steel with Reduction in Mn-Content during Ultrafast CoolingMaterials Science Forum, 2016
- Phase transformation, microstructure, and mechanical properties of X100 pipeline steels based on TMCP and HTP conceptsJournal of Materials Science, 2016
- Combined effects of high-temperature rolling and ultrafast cooling on the mechanical properties of low-carbon steelMaterials and Manufacturing Processes, 2016
- Study on Austenitization Kinetics of SA508 Gr.3 Steel Based on Isoconversional MethodMetals, 2015
- Modelling of temperature history and phase transformations during cooling of steelJournal of Materials Processing Technology, 2004
- Prediction of temperature distribution and phase transformation on the run-out table in the process of hot strip rollingApplied Mathematical Modelling, 2003
- Kinetics of austenite-ferrite and austenite-pearlite transformations in a 1025 carbon steelMetallurgical Transactions A, 1985
- Kinetics of austenite-pearlite transformation in eutectoid carbon steelMetallurgical Transactions A, 1983