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Modeling of microstructure and mechanical properties of heat treated components by using Artificial Neural Network

DSpace at IIT Bombay

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Title Modeling of microstructure and mechanical properties of heat treated components by using Artificial Neural Network
 
Creator POWAR, A
DATE, P
 
Subject GENETIC ALGORITHM
TITANIUM-ALLOYS
CARBON STEEL
TRANSFORMATION
OPTIMIZATION
SIMULATION
Artificial Neural Network
Heat treatment
Heat transfer coefficient (h)
Modeling
Mechanical properties
Microstructure
 
Description The main objective of the present work is to develop a methodology to predict the mechanical properties and microstructure of heat treated components, for a given composition and heat treatment process by using Artificial Neural Network's (ANN) and by using advanced thermal modeling tool FLUENT. A rotor shaft made of 30CrMoNiV5-11 steel was heat treated and the temperature profile has been measured by inserting thermocouples at different locations on shaft. Based on the obtained temperature profile and subsequent thermal modeling of shaft, the heat transfer coefficient profile was optimized. The optimized heat transfer coefficient profile was then used to determine the temperature distribution in the shaft at different locations. The temperature profiles obtained from thermal modeling of the shaft were applied on coupons made of 30CrMoNiV5-11 steel. The dataset for Neural Network modeling has been generated by studying the microstructural parameters and mechanical properties on these heat treated coupons using metallography and mechanical testing, respectively. Neural Network training was done with this experimentally generated dataset. The input parameters for the Neural Network were alloy composition, heat treatment parameters and hardness. The outputs obtained were yield strength, ultimate tensile strength, elongation, reduction in area and the volume fraction of pearlite, bainite and ferrite. A graphical user interface (GUI) is also developed for easy use of the model. A correlation coefficient (R) of over 90% was obtained to predict the mechanical properties and the microstructural behavior of heat treated steel. Moreover, the microstructural variation and mechanical properties were analyzed and the results were also found to be in a good agreement with the obtained theoretical results. (C) 2015 Elsevier B.V. All rights reserved.
 
Publisher ELSEVIER SCIENCE SA
 
Date 2016-01-15T04:41:20Z
2016-01-15T04:41:20Z
2015
 
Type Article
 
Identifier MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 628,89-97
0921-5093
1873-4936
http://dx.doi.org/10.1016/j.msea.2015.01.044
http://dspace.library.iitb.ac.in/jspui/handle/100/17783
 
Language en