Exploring the possibilities of development of directly quenched TRIP-aided steel by the artificial neural networks (ANN) technique

Materials and Manufacturing Processes

Volumn 24, Issue 1, 2009, Pages 68-77

  Das, K P ^a   Ganguly, S ^a   Chattopadhyay, P P ^a   Tarafder, S ^b   Bandyopadhyay, N R ^a,b  

^a INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY   (India)

^b NATIONAL METALLURGICAL LABORATORY   (India)

Author keywords

Artificial neural networks (ANN); Direct quenching; Intercritical annealing (ICA); Microstructure; TRIP aided steels

Indexed keywords

ANNEALING; AUSTENITE; BACKPROPAGATION; BAINITIC TRANSFORMATIONS; CHEMICAL ANALYSIS; COPPER; DUCTILITY; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; ISOTHERMAL ANNEALING; MATERIALS PROPERTIES; MECHANICAL PROPERTIES; METAL ANALYSIS; MICROSTRUCTURE; PEARLITIC TRANSFORMATIONS; QUENCHING; STEEL; STEEL RESEARCH; VEGETATION; WEAR RESISTANCE;

ARTIFICIAL NEURAL NETWORKS (ANN); DILATOMETRIC STUDIES; DIRECT QUENCHING; HOT ROLLS; INTERCRITICAL ANNEALING (ICA); ISOTHERMAL HOLDINGS; MICROSTRUCTURAL EXAMINATIONS; POTENTIAL TOOLS; PROCESS COMBINATIONS; PROCESS VARIABLES; STRESS/STRAIN; TRIP-AIDED STEELS;

NEURAL NETWORKS;

EID: 57649224741     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910802543723     Document Type: Conference Paper

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