Third generation of advanced high-strength steels: Processing routes and properties
The automobile industry is presently focusing on processing of advanced steels with
superior strength–ductility combination and lesser weight as compared to conventional high …
superior strength–ductility combination and lesser weight as compared to conventional high …
Practical aspects of the design and use of the artificial neural networks in materials engineering
Artificial neural networks are an effective and frequently used modelling method in
regression and classification tasks in the area of steels and metal alloys. New publications …
regression and classification tasks in the area of steels and metal alloys. New publications …
Detection of fatigue cracking in steel bridge girders: A support vector machine approach
This study presents an artificial intelligence approach for the detection of distortion-induced
fatigue cracking of steel bridge girders based on the data provided by self-powered wireless …
fatigue cracking of steel bridge girders based on the data provided by self-powered wireless …
Designing dual-phase steels with improved performance using ANN and GA in tandem
In this study, artificial neural network (ANN) and multi-objective genetic algorithm (GA) are
employed in tandem to design dual-phase (DP) steel with improved performance. Six …
employed in tandem to design dual-phase (DP) steel with improved performance. Six …
Overloading effect on the fatigue strength in resistance spot welding joints of a DP980 steel
Dual phase steel DP980 sheets were joined by resistance spot welding (RSW) process.
Mechanical resistance of the welds was characterized by microhardness, tensile shear and …
Mechanical resistance of the welds was characterized by microhardness, tensile shear and …
[HTML][HTML] Microstructure based modeling of deformation and failure of spot-welded advanced high strength steels sheets
K Paveebunvipak, V Uthaisangsuk - Materials & Design, 2018 - Elsevier
Microstructures and hardness of different weld zones of spot-welded high strength steel
grade 1000 and press-hardened 22MnB5 steel were characterized. Tensile shear and cross …
grade 1000 and press-hardened 22MnB5 steel were characterized. Tensile shear and cross …
Artificial neural network to predict the degraded mechanical properties of metallic materials due to the presence of hydrogen
T Thankachan, KS Prakash, CD Pleass… - international journal of …, 2017 - Elsevier
Abstract Machine learning models were introduced to develop a relationship between the
elemental composition and degraded mechanical properties in metallic materials due to the …
elemental composition and degraded mechanical properties in metallic materials due to the …
The influence of welding heat input on the microstructure of joints of S1100QL steel in one-pass welding
Microstructure transformations of a welded joint of the of quenched and tempered advanced
high-strength S1100QL steel in relation to the heat input and its effect on the strength of the …
high-strength S1100QL steel in relation to the heat input and its effect on the strength of the …
Principal component analysis combined with a self organization feature map to determine the pull-off adhesion between concrete layers
Ł Sadowski, M Nikoo, M Nikoo - Construction and Building Materials, 2015 - Elsevier
This study attempted to use Principal Component Analysis (PCA) combined with a Self
Organization Feature Map (SOFM) to determine the pull-off adhesion between concrete …
Organization Feature Map (SOFM) to determine the pull-off adhesion between concrete …
Aging kinetics and mechanical properties of copper-bearing low-carbon HSLA-100 microalloyed steel
The precipitation kinetics of HSLA-100 steel and the correlation between tensile and impact
properties were studied. According to the modified Johnson–Mehl–Avrami–Kolmogorov …
properties were studied. According to the modified Johnson–Mehl–Avrami–Kolmogorov …