An adaptive neuro-fuzzy inference system-based modelling to predict mechanical properties of hot-rolled TRIP steel
IR@NML: CSIR-National Metallurgical Laboratory, Jamshedpur
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| Title |
An adaptive neuro-fuzzy inference system-based modelling to predict mechanical properties of hot-rolled TRIP steel
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| Creator |
Hore, S
Das, S K Banerjee, S Mukherjee, S |
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| Subject |
Materials Charcterization
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| Description |
A model based on adaptive neural network formalism coupled with fuzzy inference system has been developed to predict mechanical properties of hot-rolled TRIP steel. The developed model incorporates a wide range of data containing chemical compositions, thermo-mechanical processing parameters and mechanical properties of hot-rolled TRIP steel. A compact set of process variables has been selected as the model inputs for predicting tensile strength, yield strength, elongation and retained austenite under a given operating condition. The model predictions show that carbon, silicon and manganese content have a significant effect on the retained austenite which increases with the increased amount of these elements. The microalloying elements such as niobium and molybdenum have a little effect on the volume fraction of retained austenite. The present model provides a predictive platform for possible application of these artificial intelligence-based tools for automation, real-time process control and operator guidance in plant operation.
An adaptive neuro-fuzzy inference system-based modelling to predict mechanical properties of hot-rolled TRIP steel. Available from: https://www.researchgate.net/publication/308386727_An_adaptive_neuro-fuzzy_inference_system-based_modelling_to_predict_mechanical_properties_of_hot-rolled_TRIP_steel [accessed Aug 14, 2017].
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| Publisher |
Taylor & Francis online
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| Date |
2016
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| Type |
Article
PeerReviewed |
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| Relation |
http://www.tandfonline.com/doi/full/10.1080/03019233.2016.1227025
http://eprints.nmlindia.org/7533/ |
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| Identifier |
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.
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