Using an Artificial Neural Network for Nondestructive Evaluation of the Heat Treating Processes for D2 Tool Steels

Application of Artificial Neural Network and Multi-magnetic NDE Methods to Determine Mechanical Properties of Plain Carbon Steels Subjected to Tempering Treatment

“…Recent investigations in this field have been focused on microstructural changes due to the various heat-treating processes. For instance, pearlite/ferrite fraction [2], prior austenite grain size [3], microstructural changes during recovery process [4], the thickness of induction [5][6][7], carburized [8], and *Corresponding Author Institutional Email: i_a_akhlaghi@sadjad.ac.ir (I. Ahadi Akhlaghi) decarburized [9][10][11] layers in mild carbon steels, retained austenite fraction [12], precipitation of alloy carbides [13] and secondary hardening occurrence [14] in tool steels as well as variations in mechanical properties of API X65 [15], powder metallurgical [16] and Hadfield [17] steels have been characterized using EC and MHL methods.…”