Numerical modeling and Digital Twins in Wire Arc Additive Manufacturing
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Дата
2025
Автори
Науковий керівник
Назва журналу
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Назва тому
Видавець
Igor Sikorsky Kyiv Polytechnic Institute
Анотація
Wire Arc Additive Manufacturing (WAAM) has become a valuable tool for cost-effective production of large metal structures with complex geometry using established arc-welding hardware and wire feedstock. However, the complexity of underlying physics makes it difficult to predict the geometry and stress state of final products. Heat accumulation, inter-pass temperature, and path planning influence bead shape and defect formation, while cyclic thermal loading induces residual stresses and distortion, which hinder repeatability and certification. High-fidelity numerical modelling, while being important for studying and optimization of WAAM process, remains unsuitable for real time simulation and control due to high computational cost. In order to overcome the limitations of pure physics-based models, the interest has shifted to hybrid workflows— combined physics-based and data-driven models calibrated by real-time sensing—embedded in Digital Twin architectures to support prediction, monitoring, and process control. The objective of this study is to systemise recent advances in multi-scale multi-physics numerical modelling for wire arc additive manufacturing (WAAM) and provide insight into Digital Twin (DT) architectures alongside data-driven approaches based on artificial intelligence (AI), machine learning (ML) and data management. The extensive literature review was performed to reveal advantages and limitations of these simulation method and how they could transition WAAM to intelligent manufacturing, driven by multiple data streams, with real-time monitoring, predictive analytics, and autonomous correction. The results of the review can be used in future studies to organize and assemble intelligent WAAM systems in laboratory experimental conditions with a perspective of industrial applications.
Опис
Ключові слова
3D printing, additive manufacturing, WAAM, thermo-mechanical modelling, thermo-fluidic modelling, FEM, CFD, adaptive mesh refinement, digital twin, artificial intelligence, neural network, machine learning, process control, residual stress, distortions, microstructure, simulation, defect detection, 3D-друк, адитивне виробництво, WAAM, термомеханічне моделювання, термогідродинамічне моделювання, FEM (МСЕ), CFD, адаптивне згущення сітки, цифровий двійник, штучний інтелект, нейронні мережі, машинне навчання, керування процесом, залишкові напруження, деформації, мікроструктура, моделювання, виявлення дефектів
Бібліографічний опис
Tryhubov, R. Numerical modeling and Digital Twins in Wire Arc Additive Manufacturing / Roman Tryhubov, Mykola Kryshchuk // Mechanics and Advanced Technologies. – 2025. – Vol. 9, No. 3(106). – P. 357-371. – Bibliogr.: 56 ref.