A data-driven machine learning approach to predict the hardenability curve of boron steels and assist alloy design

[1]  Guanzhen Zhang,et al.  A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels , 2021, Journal of Materials Science & Technology.

[2]  B. Białobrzeska Effect of Alloying Additives and Microadditives on Hardenability Increase Caused by Action of Boron , 2021, Metals.

[3]  Cong Zhang,et al.  A strategy combining machine learning and multiscale calculation to predict tensile strength for pearlitic steel wires with industrial data , 2020, Scripta Materialia.

[4]  C. Shang,et al.  Machine learning guided methods in building chemical composition-hardenability model for wear-resistant steel , 2020 .

[5]  Sucheta Swetlana,et al.  Development of Vickers hardness prediction models via microstructural analysis and machine learning , 2020, Journal of Materials Science.

[6]  Y. Liu,et al.  Predictions and mechanism analyses of the fatigue strength of steel based on machine learning , 2020, Journal of Materials Science.

[7]  Tong-Yi Zhang,et al.  Machine learning of mechanical properties of steels , 2020, Science China Technological Sciences.

[8]  A. Ullah,et al.  Prediction of Continuous Cooling Transformation Diagrams for Ni-Cr-Mo Welding Steels via Machine Learning Approaches , 2020, JOM.

[9]  Ming Hu,et al.  Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation , 2020, Computational Materials Science.

[10]  W. Bleck,et al.  Boron in Heat‐Treatable Steels: A Review , 2019, steel research international.

[11]  J. Odqvist,et al.  Machine Learning to Predict the Martensite Start Temperature in Steels , 2019, Metallurgical and Materials Transactions A.

[12]  Shulin Wang,et al.  Feature selection in machine learning: A new perspective , 2018, Neurocomputing.

[13]  L. Anggraini Hardenability of ASSAB 760 Steel during Tempering for Punch Holder Applications , 2017 .

[14]  Richard Dashwood,et al.  Artificial Neural Network (ANN) based microstructural prediction model for 22MnB5 boron steel during tailored hot stamping , 2017 .

[15]  A. Clough,et al.  Effect of carbon and microalloy additions on hot-stamped boron steel , 2017 .

[16]  R. Arróyave,et al.  A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels , 2017, Journal of Materials Science.

[17]  S. S. Matin,et al.  Modeling of free swelling index based on variable importance measurements of parent coal properties by random forest method , 2016 .

[18]  Stephen Pullen,et al.  Achieving carbon neutrality in commercial building developments - Perceptions of the construction industry , 2012 .

[19]  Ping Zhou,et al.  Prediction of Hardenability of Gear Steel Using Stepwise Polynomial Regression and Artificial Neural Network , 2010 .

[20]  Guy Lapalme,et al.  A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..

[21]  Kamran Dehghani,et al.  Predicting the bake hardenability of steels using neural network modeling , 2008 .

[22]  N. Saunders,et al.  Using JMatPro to model materials properties and behavior , 2003 .

[23]  L. P. Karjalainen,et al.  Regression and Solute Drag Models for the Activation Energy of Static Recrystallisation in Hot-Worked Steels , 2003 .

[24]  S. Sathiya Keerthi,et al.  Improvements to the SMO algorithm for SVM regression , 2000, IEEE Trans. Neural Networks Learn. Syst..

[25]  Fionn Murtagh,et al.  Multilayer perceptrons for classification and regression , 1991, Neurocomputing.

[26]  Watanabe Seiichi,et al.  Relation between Hardenability and Segregation to Austenite Grain Boundaries of Boron Atom on Direct Quenching Process , 1988 .

[27]  Song Xiang,et al.  Modeling of CCT diagrams for tool steels using different machine learning techniques , 2020 .

[28]  B. Lindsley,et al.  INFLUENCE OF CHEMICAL COMPOSITION AND AUSTENITIZING TEMPERATURE ON HARDENABILITY OF PM STEELS , 2010 .

[29]  Hardenability Calculated from Chemical Composition , 2008 .

[30]  A. Marder,et al.  Phase transformations in ferrous alloys , 1983 .

[31]  F. T. Hardenability of Steel , 1947, Nature.