Soft computing techniques in advancement of structural metals
S Datta, PP Chattopadhyay - International Materials …, 2013 - journals.sagepub.com
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …
ahead of the advancing fronts of the application areas. During the last couple of decades …
Prediction of electrical resistivity of steel using artificial neural network
Electrical resistivity of commercially produced plain carbon manganese steel has been
experimentally measured at room temperature (28–30° C) using four-probe method …
experimentally measured at room temperature (28–30° C) using four-probe method …
Prediction of properties over the length of the coil during thermo-mechanical processing using DNN
Certain mechanical properties of steel, such as elongation percentage, yield strength and
ultimate tensile strength, form the basis for classification of steel coils into various categories …
ultimate tensile strength, form the basis for classification of steel coils into various categories …
Investigations on mechanical behaviour and failure mechanism of resistance spot-welded DP590 steel using artificial neural network
SS Rao, KS Arora, L Sharma, R Chhibber - … of the Indian Institute of Metals, 2021 - Springer
Modelling of the spot weld responses, ie shear-tensile strength, coach-peel strength, mean
dynamic contact resistance and nugget diameter, was carried out along with the optimization …
dynamic contact resistance and nugget diameter, was carried out along with the optimization …
Artificial neural network and its application in steel industry
I Mohanty, D Bhattacherjee - Computational Approaches to Materials …, 2016 - igi-global.com
The recent developments in computational intelligence has enhances the applicability of
empirical modelling in different areas particularly in the area of machine learning. These …
empirical modelling in different areas particularly in the area of machine learning. These …
Mining the Genesis of Sliver Defects Through Rough and Fuzzy Set Theories
The actual cause of sliver defect is difficult to determine, since the defect usually reveals
itself after the rolling process (hot/cold) is complete. The genesis of sliver defect in cold …
itself after the rolling process (hot/cold) is complete. The genesis of sliver defect in cold …
In Search of the Attributes Responsible for Sliver Formation in Cold Rolled Steel Sheets
Surface quality is one of the most important characteristics of cold rolled (CR) steel sheets
for its application in consumer goods industries. The actual cause of sliver formation is very …
for its application in consumer goods industries. The actual cause of sliver formation is very …