Publication Newsletter

November 2024

Each month, dozens of peer reviewed papers are published using Thermo-Calc Software products. These papers demonstrate the wide variety of applications and interesting work that is being done with our tools. This is a sampling of some of the interesting papers that have been published in the last months. We hope this is a useful resource for your work.   

Steel

Machinability improvement by in-operando Tool Protection Layers through designed steel alloying: The case of manganese steel

Axel Bjerke, Susanne Norgren, Henrik Larsson, Andreas Markström, Filip Lenrick, Rachid M'Saoubi, Jörgen Petersson, Latifa Melk, and Volodymyr Bushlya

Journal of Materials Processing Technology

Evaluation and quantification of diffusion wear between cutting chip and workpiece using forging press

Junichi Nakagawa, Yusuke Yoshimi, Katsumasa Chiba, and Ryutaro Tanaka

Manufacturing Letters

HEAs

Multicomponent alloys designed to sinter

Yannick Naunheim and Christopher A. Schuh

Nature Communications

Spinodally reinforced W-Cr fusion armour

Alexander J Knowles, Tat Yiu Spencer Cheung, Kan Ma, Russel Dodds, Samuel A Humphry-Baker, Felipe F. Morgado, Shyam S Katnagallu, Eduardo Saiz, Baptiste Gault, Christopher D Hardie, and David Dye

Applied Materials Today

Thermodynamics-Guided High-Throughput Discovery of Eutectic High-Entropy Alloys for Rapid Solidification

Liuliu Han, Zhongji Sun, Wenzhen Xia, Shao-Pu Tsai, Xukai Zhang, Jing Rao, Pei Wang, Andrew Chun Yong Ngo, Zhiming Li, Yong Liu, and Dierk Raabe

Advanced Science

Upcoming Machine Learning Webinar Series

We are happy to introduce our new five-part webinar series on machine learning, taking place between November 2024 and February 2025. The first webinar, CALPHAD by Machine Learning and for Machine Learning, is on November 20th at 2 PM CET. Register today!

Aluminium 

A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning

Wang Yi, Sa Ma, Jianbao Gao, Jing Zhong, Tianchuang Gao, Shenglan Yang, Lijun Zhang, and Qian Li

Journal of Materials Science & Technology

Mechanical properties and microstructural characterisation including high-temperature performance of Al-Mn-Cr-Zr-based alloys tailored for additive manufacturing

Bharat Mehta, Sven Bengtsson, Dmitri Riabov, Elanghovan Natesan, Karin Frisk, Johan Ahlström, and Lars Nyborg

Materials & Design

Nickel

Implementing numerical algorithms to optimize the parameters in Kampmann–Wagner Numerical (KWN) precipitation models

Taiwu Yu, Adam Hope, and Paul Mason

npj Computational Materials

CALPHAD approach for prediction of local phase transformation at superlattice stacking fault in gamma prime precipitates in superalloys with multi-component system

Takuma Saito, Hiroshi Harada, Taichi Abe, and Hideyuki Murakami

Next Materials 

High Temperature Materials

Thermodynamic modeling of the Hf-Ta-O system for the design of oxidation resistant HfC-TaC ceramics 

Rahim Zaman, Elizabeth J. Opila, and Bi-Cheng Zhou

Open Ceramics

Magnesium 

Design and development of large-diameter Mg-Zn-Ca bulk metallic glass for biomedical applications: A mechanical and corrosion perspective 

Rajesh Kumari rajendran, Divyanshu Aggarwal, Manon Bonvalet Rolland, Cosmin Gruescu, and Rajashekhara Shabadi

Intermetallics

Additive Manufacturing

Research progress in CALPHAD assisted metal additive manufacturing

Ya-qing Hou, Xiao-qun Li, Wei-dong Cai, Qing Chen, Wei-ce Gao, Du-peng He, Xue-hui Chen, and Hang Su

China Foundry

LPBF Processability of NiTiHf Alloys: Systematic Modeling and Single-Track Studies

Hediyeh Dabbaghi, Mohammad Pourshams, Mohammadreza Nematollahi, Behrang Poorganji, Michael M. Kirka, Scott Smith, Chins Chinnasamy, and Mohammad Elahinia
Materials

Machine Learning

Design of novel high entropy alloys based on the end-of-life recycling rate and element lifetime for cryogenic applications

Mehran Bahramyan, Reza T. Mousavian, Gopinath Perumal, Gavin Roche Griffin, 
Yanuar Rohmat Aji Pradana, James G. Carton, David J. Browne, and Dermot Brabazon

Materials & Design

Prediction of martensitic transformation start temperature of steel using thermodynamic model, empirical formulas, and machine learning models

Zidong Lin, Jiaqi Wang, Chenxv Zhou, Zhen Sun, Yanlong Wang, and Xinghua Yu

Modelling and Simulation in Materials Science and Engineering

Do you have a recently published paper you'd like us to include?

Please send us a link and we will consider it for the next Publication Newsletter. We also consider slide decks from presentations, videos of talks, and anything that may be of technical benefit to our broad user community.

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