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RESEARCH PAPER · Journal of Materials Research and Technology · 2023

Prediction and optimization of mechanical properties of Ni based and Fe–Ni based super alloys via neural network approach with alloying composition parameter

Jaka Fajar Fatriansyah, Iping Suhariadi, Haya Ayu Fauziyyah, Ibnu Rais Syukran, Fernanda Hartoyo, Donanta Dhaneswara, Zainovia Lockman, Andrian Fauzi, Muhammad Syaikh Rohman

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42 direct citing works

Prediction and optimization of mechanical properties of Ni based and Fe–Ni based super alloys via neural network approach with alloying composition parameterOriginalOptimization of AlTi PLD coating by increasing Ti content, N2 and Annealing which used for SKD61 pins in aluminum die casting3Development of Risk Estimation Program for Storage Tank Failure Due to Uniform Corrosion Based on Deep Neural Network1Hot deformation behaviour, constitutive model description, and processing map analysis of superalloys: An overview of nascent developments80Microstructure evolution and creep-rupture behaviour of a low-cost Fe-Ni-based superalloy11Machine Learning Assisted Tensile Strength Prediction and Optimization of Ti Alloy18Strengthening of Ta-W alloys by alloying Zr elements: First-principles calculation and experimental perspective4Insight into the role of Sc on microstructure, mechanical properties and high temperature oxidation resistance of NiCoCrAlSiSc alloys2Integration of the Ashby Technique and Pahl-Beitz Quantitative Ranking for Railway Axle Material Selection1The Integration of ANN and FEA and Its Application to Property Prediction of Dual-Performance Turbine Disks7Prediction of creep degradation in Fe-Cr-Ni single-crystal alloys for high-temperature applications: a molecular-dynamics and machine-learning approach9Advanced Constitutive Modeling of the Hot Deformation Behavior of Ni-Based Superalloys: Modified Kobayashi–Dodd and Khan–Huang–Liang Models with Experimental Validation3Prediction of Ms temperature based on alloying composition parameter assisted by machine learning0Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space4Application of a multivariate feature-driven ACO-BPNN integrated model in predicting ultimate tensile strength and composition optimization of Ni-based alloys7Addressing an Anomalous Melting Temperature-Strength Trend with Enhanced Compressive Performance of In-Micro-Alloyed Sn-0.7Cu Solder0

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15 direct citing papers saved.

  1. Optimization of AlTi PLD coating by increasing Ti content, N2 and Annealing which used for SKD61 pins in aluminum die casting

    Journal of Materials Exploration and Findings · 2023-07-04

    Rusman Kosasih, Maria Margaretha Suliyanti Prof, Dedi Priadi, Wisnu Usni

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  2. Development of Risk Estimation Program for Storage Tank Failure Due to Uniform Corrosion Based on Deep Neural Network

    International Conference on Information Technology Research and Innovation (ICITRI) · 2023-08-16

    Andreas Federico, Jaka Fajar Fatriansyah, Gabriella Pasya Irianti, Fernanda Hartoyo, Muhammad Anis

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  3. Hot deformation behaviour, constitutive model description, and processing map analysis of superalloys: An overview of nascent developments

    Journal of Materials Research and Technology · 2023-09-01

    Sodiq Abiodun Kareem, Justus Uchenna Anaele, Emmanuel Omosegunfunmi Aikulola, Olajesu Favor Olanrewaju, Babatunde Olamide Omiyale, Michael Oluwatosin Bodunrin, Kenneth Kanayo Alaneme

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  4. Microstructure evolution and creep-rupture behaviour of a low-cost Fe-Ni-based superalloy

    Materials Technology · 2023-10-23

    Wei Li, B.K. Pan, Y.G. Wang, Bowen Li, X.S. Jia

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  5. Machine Learning Assisted Tensile Strength Prediction and Optimization of Ti Alloy

    IEEE Access · 2024-01-01

    Jaka Fajar Fatriansyah, Muhamad Rafi Aqila, Iping Suhariadi, Andreas Federico, Dzaky Iman Ajiputro, Agrin Febrian Pradana, Yossi Andreano, Muhammad Ali Yafi Rizky, Donanta Dhaneswara, Zainovia Lockman, Su‐Mi Hur

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  6. Strengthening of Ta-W alloys by alloying Zr elements: First-principles calculation and experimental perspective

    Journal of Alloys and Compounds · 2024-02-16

    Xinliang Peng, Yonggang Tong, Zhibin Zhang, Yongle Hu, Jingzhong Fang, Ziyi Ren, Liang Su, Xiubing Liang

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  7. Insight into the role of Sc on microstructure, mechanical properties and high temperature oxidation resistance of NiCoCrAlSiSc alloys

    Journal of Materials Research and Technology · 2024-03-22

    Danhong Li, Junxiu Chen, Changjun Wu, Ya Liu, Xuping Su

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  8. Integration of the Ashby Technique and Pahl-Beitz Quantitative Ranking for Railway Axle Material Selection

    Journal of Materials Exploration and Findings · 2024-04-30

    Nafisah, Helya Chafshoh, Jaka Fajar Fatriansyah, Siti Norasmah Surip

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  9. The Integration of ANN and FEA and Its Application to Property Prediction of Dual-Performance Turbine Disks

    Materials · 2024-06-21

    Yanqing Li, Ziming Zhang, Junyi Cheng, Zhaofeng Liu, Chao Yin, Chao Wang, Jianzheng Guo

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  10. Prediction of creep degradation in Fe-Cr-Ni single-crystal alloys for high-temperature applications: a molecular-dynamics and machine-learning approach

    Mechanics of Time-Dependent Materials · 2024-12-11

    Arun Kumar, Sunil Kumar, Ashok Kumar, Sanjay Sharma

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  11. Advanced Constitutive Modeling of the Hot Deformation Behavior of Ni-Based Superalloys: Modified Kobayashi–Dodd and Khan–Huang–Liang Models with Experimental Validation

    Materials · 2025-05-26

    Ali Abd El-Aty, Yong Bo Xu, Bandar Alzahrani, Alamry Ali, Abdallah Shokry

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  12. Prediction of Ms temperature based on alloying composition parameter assisted by machine learning

    Ironmaking & Steelmaking Processes Products and Applications · 2025-07-01

    Boyuan Cheng, Biao Zhang, Junqiu Lv, Wei Chen, Kun Xu, Qing Zhang, Jialun Li, Qinyu Qu, Hao Wang

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  13. Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

    Advanced Intelligent Discovery · 2025-07-11

    Mohammad Abu‐Mualla, Ellis Crabtree, fredrick michael, Yayue Pan, Jida Huang

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  14. Application of a multivariate feature-driven ACO-BPNN integrated model in predicting ultimate tensile strength and composition optimization of Ni-based alloys

    Materials Science and Engineering A · 2025-07-15

    Jianxing Zhou, Wei Jian, Lei Shen, Xi Yi, Hainan Wang, Ka Chun Chan, Yuk Lun Chan, Haozheng Wang, Qin-Hao Zhang, Xinkun Suo, Lu Ren

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  15. Addressing an Anomalous Melting Temperature-Strength Trend with Enhanced Compressive Performance of In-Micro-Alloyed Sn-0.7Cu Solder

    Journal of Electronic Materials · 2026-03-21

    Ayushi Thakur, Jayant Jain, Sangeeta Santra

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