AHSS applications in Industry 4.0: Determination of optimum processing parameters during coiling process through unsupervised machine learning approach

AK Srivastava, PK Patra, R Jha - Materials Today Communications, 2022 - Elsevier
In this work, actual production data from a rolling mill has been analyzed through the
concept of Self Organizing Maps (SOM) for understanding various correlations and patterns …

Effects of granular bainite and polygonal ferrite on yield point phenomenon in API X65 line-pipe steels

J Yang, DW Kim, S Lee, YG Kim, WK Kim… - Materials Science and …, 2022 - Elsevier
Yield strength and yield-point (YP) phenomenon are regarded as crucial properties to be
assured in practical applications such as line-pipe forming. In this work, the impacts of …

Artificial Neural Network for Modeling the Tensile Properties of Ferrite-Pearlite Steels: Relative Importance of Alloying Elements and Microstructural Factors

TW Hong, SI Lee, JH Shim, MG Lee, J Lee… - Metals and Materials …, 2021 - Springer
An artificial neural network (ANN) model was developed to predict the tensile properties as a
function of alloying element and microstructural factor of ferrite-pearlite steels. The input …

Effect of prior microstructures on cementite dissolution behavior during subcritical annealing of high carbon steels

XY Zhao, XM Zhao, CY Dong, Y Yang… - Metals and Materials …, 2022 - Springer
The variation of the morphology and distribution of cementite particles in different prior
structures with spheroidizing annealing process has been proceeded in this paper. It is …

Effect of separation on the fracture surface of pipeline steels with ferrite–bainite dual phases during drop weight tear test

YH Cho, J Lee, WY Choo, J Kang, HN Han - Metals and Materials …, 2022 - Springer
The effect of separation on the fracture surface of ferrite–bainite dual-phase pipeline steels
during a drop weight tear test (DWTT) was investigated via microstructural analysis and …

AI-guided optimization of manufacturing protocols for AHSS coils

R Jha, PK Patra, AK Srivastava - Materials and Manufacturing …, 2023 - Taylor & Francis
Manufacturing protocols or processing parameters in a coiling mill affect multiple desired
properties of advanced high-strength steel (AHSS) coils. These properties include yield …

Microstructure evolution, mechanical properties and strain hardening instability of low and medium carbon quenching & partitioning steels

RN Elshaer, MK El-Fawakhry, AIZ Farahat - Metals and Materials …, 2022 - Springer
The effect of quenching after martensitic finish (QAMf) or quenching & partitioning (Q&P) on
microstructure evolution, mechanical properties, and strain hardening instability of low and …

[PDF][PDF] Application of artificial neural network to predict the tensile properties of dual-phase steels

SH Shin, SG Kim, B Hwang - Archives of Metallurgy and Materials, 2021 - journals.pan.pl
An artificial neural network (ANN) model was developed to predict the tensile properties of
dual-phase steels in terms of alloying elements and microstructural factors. The developed …

[HTML][HTML] Effects of B and Ti addition and heat treatment temperature on graphitization behavior of Fe-0.55 C-2.3 Si steel

YJ Kim, SW Bae, SH Kim, NS Lim, SH Park - Journal of Materials Research …, 2020 - Elsevier
We determined the effects of alloying elements and heat treatment temperature on the
graphitization behavior of a medium-carbon high-silicon steel (Fe-0.55 C-2.3 Si, wt%). Trace …