An Overview of Neural Network Based Modeling in Alloy Design and Thermomechanical Processing of Austenitic Stainless Steels

作者：Mandal Sumantra^*; Sivaprasad P V; Barat P; Raj Baldev

来源：Materials and Manufacturing Processes, 2009, 24(2): 219-224.

DOI：10.1080/10426910802612361

• Alloy composition
• Alloy design
• Artificial neural network (ANN)
• Austenitic stainless steel
• Constitutive flow behavior
• Deformation behavior
• Flow stress
• Mechanical property
• Modeling simulation
• Process variables
• Recrystallization
• Thermomechanical processing
• Torsion

This overview reports some of the research works carried out by us in recent past on the application of artificial neural network (ANN) based modeling in alloy design and thermomechanical processing of austenitic stainless steels. Different ANN models were created in order to simulate various correlations and phenomena in austenitic stainless steels. These include: prediction of mechanical properties of alloy D9 from its alloy content, modeling constitutive flow behavior of austenitic stainless steels, and prediction of torsional flow behavior of type 304L stainless steel. Attempt has been made to explain the simulated results by relevant fundamental metallurgical phenomena.

• 出版日期2009