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RESEARCH PAPER · Journal of Materials Engineering and Performance · 2025

Prediction of Hardness and Fracture Toughness in High-Entropy Alloy Bonded Cemented Carbides through Machine Learning

Chengqiang Fan, Jialin Sun, Shurong Ning, Xiaozhen Li, Jun Tian Zhao

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6 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Prediction of Hardness and Fracture Toughness in High-Entropy Alloy Bonded Cemented Carbides through Machine LearningOriginalMOPSO-Based Data Augmentation and Hardness-Assisted Interpretable Machine Learning for Accurate Prediction of Mechanical Properties of Mg Alloys0Optimized WC-Co cutting inserts reinforced with nano-WC for improved machining performance of Inconel 7180Reinforcing High-Entropy Alloy Composites and Exploring the Impacts of Various Reinforcement Fillers on Microstructure and Mechanical Characterizations: A Comprehensive Review1Machine learning–driven design of cost-effective cutting tools: Composition optimization of transition-metal-doped WC0Physics-guided machine learning-based hardness prediction of additively manufactured WC-12Co inserts containing pore defects0A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys0

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  1. MOPSO-Based Data Augmentation and Hardness-Assisted Interpretable Machine Learning for Accurate Prediction of Mechanical Properties of Mg Alloys

    Journal of Materials Engineering and Performance · 2026-01-21

    Rong Zhang, Hongxue Cui, Yongfan Li, Yongjian Wang, Junwei Pei, Chen Zhang, Liping Zhong

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  2. Optimized WC-Co cutting inserts reinforced with nano-WC for improved machining performance of Inconel 718

    Journal of Composite Materials · 2026-05-20

    Shashidhar M Kotian, Narayanaswamy K S, S.M. Dasharath

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  3. Reinforcing High-Entropy Alloy Composites and Exploring the Impacts of Various Reinforcement Fillers on Microstructure and Mechanical Characterizations: A Comprehensive Review

    Archives of Computational Methods in Engineering · 2026-06-23

    Zary Adabavazeh, Arghavan Goudarzi, Babak Safaei

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  4. Machine learning–driven design of cost-effective cutting tools: Composition optimization of transition-metal-doped WC

    International Journal of Refractory Metals and Hard Materials · 2026-06-28

    Hyokyeong Kim, Insu Kim, Jiho Kim, Jiho Kim, Changjoong Kim, Minseok So, Jiwoong Kim, Jiwoong Kim

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  5. Physics-guided machine learning-based hardness prediction of additively manufactured WC-12Co inserts containing pore defects

    International Journal of Refractory Metals and Hard Materials · 2026-08-04

    Siyuan Gao, Shaolong Zhu, Qiaolei Li, Minli Zheng, Tongxuan Xin, Lisa Biasetto, Junyao Chen, Jingjing Liang, Yizhou Zhou, Jinguo Li, Paolo Angelo Colombo

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  6. A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys

    Journal of Alloys and Compounds · 2026-09-01

    Yanghuan Li, Dongzhou Jia, Yongqiang Fu, Qi Gao, Xiaoqiang Wu, Yanbin Zhang, Ying Fu

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