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RESEARCH PAPER · The International Journal of Advanced Manufacturing Technology · 2024

Neural network prediction of thermal field spatiotemporal evolution during additive manufacturing: an overview

Onuchukwu Godwin Chike, Norhayati Binti Ahmad, Wan Fahmin Faiz Wan Ali

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

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Neural network prediction of thermal field spatiotemporal evolution during additive manufacturing: an overviewOriginalEnhancing sustainability in CNC turning of POM-C polymer using MQL with vegetable-based lubricant: machine learning and metaheuristic optimization approaches5Taguchi‐ ANN Hybrid Approach for Evaluating Unsupported Overhang Structures in FDM ‐Printed Polymers22Development of a processing window for Ti6Al4V in LPBF: balancing hardness and surface integrity1Spatiotemporal deep learning using infrared thermography for real-time monitoring and process parameter adjustment in material extrusion4A PINN–EWMA framework with uncertainty quantification for high-fidelity temperature field modeling and early defect warning in directed energy deposition of thin-walled structures5Review on laser powder-based directed energy deposition for fabricating functionally graded materials: Microstructure, mechanical behavior, and defect analysis16A review on in-situ monitoring, process control and residual stress prediction using machine learning methods in metal-based laser additive manufacturing5Sampling algorithm and fully connected neural network regression model for obtaining the process operating window and elucidating process parameters effects on mechanical properties in laser powder bed fusion0

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  1. Enhancing sustainability in CNC turning of POM-C polymer using MQL with vegetable-based lubricant: machine learning and metaheuristic optimization approaches

    The International Journal of Advanced Manufacturing Technology · 2025-06-25

    Tallal Hakmi, Hammoudi Abderazek, Yusuf Furkan Yapan, Amine Hamdi, Alper Uysal

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  2. Taguchi‐ ANN Hybrid Approach for Evaluating Unsupported Overhang Structures in FDM ‐Printed Polymers

    Journal of Polymer Science · 2025-09-22

    Osman Ülkir, Mehmet Said BAYRAKLILAR, Melih Kuncan

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  3. Development of a processing window for Ti6Al4V in LPBF: balancing hardness and surface integrity

    Rapid Prototyping Journal · 2025-09-27

    Minhalina Ahmad Buhairi, Farhana Mohd Foudzi, Fathin Iliana Jamhari, Abu Bakar Sulong, Norhamidi Muhamad, Nabilah Afiqah Mohd Radzuan, Intan Fadhlina Mohamed, Izhar Abd Aziz

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  4. Spatiotemporal deep learning using infrared thermography for real-time monitoring and process parameter adjustment in material extrusion

    Journal of Intelligent Manufacturing · 2025-10-13

    Asef Ishraq Sadaf, Hossain Ahmed

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  5. A PINN–EWMA framework with uncertainty quantification for high-fidelity temperature field modeling and early defect warning in directed energy deposition of thin-walled structures

    Reliability Engineering & System Safety · 2025-10-25

    Shoulan Yang, Zijue Tang, Yanlin Ye, Madan Kumar, Fengtao Wang, Shitong Peng

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  6. Review on laser powder-based directed energy deposition for fabricating functionally graded materials: Microstructure, mechanical behavior, and defect analysis

    Journal of Laser Applications · 2025-11-01

    Shivam Singh, Chandan Kumar, Supen Kumar Sah

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  7. A review on in-situ monitoring, process control and residual stress prediction using machine learning methods in metal-based laser additive manufacturing

    Progress in Additive Manufacturing · 2026-02-03

    Gaurav Kishor, Yugal Kishor Sharma, Krishna Kishore Mugada, Raju Prasad Mahto

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  8. Sampling algorithm and fully connected neural network regression model for obtaining the process operating window and elucidating process parameters effects on mechanical properties in laser powder bed fusion

    The International Journal of Advanced Manufacturing Technology · 2026-04-25

    Jian Hui Yu, Alex Butler

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