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Virtual and Physical Prototyping Volume 16, 2021 - Issue 3
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Integrated numerical modelling and deep learning for multi-layer cube deposition planning in laser aided additive manufacturing

K. Rena Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, SingaporeORCID Iconhttps://orcid.org/0000-0002-9312-9705View further author information
ORCID Icon,
Y. Chewa Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, SingaporeCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2930-2614View further author information
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N. Liub Advanced Remanufacturing and Technology Centre, Agency for Science, Technology and Research, SingaporeORCID Iconhttps://orcid.org/0000-0002-8517-0652View further author information
ORCID Icon,
Y. F. Zhangc Department of Mechanical Engineering, National University of Singapore, SingaporeView further author information
,
J. Y. H. Fuhc Department of Mechanical Engineering, National University of Singapore, SingaporeORCID Iconhttps://orcid.org/0000-0002-5225-7460View further author information
ORCID Icon &
G. J. Bia Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, SingaporeCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3931-4301View further author information
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Pages 318-332 | Received 07 Mar 2021, Accepted 23 Apr 2021, Published online: 07 May 2021

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Jiarui Xie, Chonghui Zhang, Manuel Sage, Mutahar Safdar & Yaoyao Fiona Zhao. (2024) A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling. International Journal of Production Research 62:12, pages 4181-4201.
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Yiming Mao, Huiliang Wei, Lili Chang, Jiashun Yue, Tingting Liu, Fei Xing & Wenhe Liao. (2023) Origin of deposition errors and layer-wise control strategies during laser additive manufacturing. Virtual and Physical Prototyping 18:1.
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Rita Drissi-Daoudi, Vigneashwara Pandiyan, Roland Logé, Sergey Shevchik, Giulio Masinelli, Hossein Ghasemi-Tabasi, Annapaola Parrilli & Kilian Wasmer. (2022) Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning. Virtual and Physical Prototyping 17:2, pages 181-204.
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Zeyu Zhou, Hongyao Shen, Bing Liu, Wangzhe Du, Jiaao Jin & Jiahao Lin. (2022) Residual thermal stress prediction for continuous tool-paths in wire-arc additive manufacturing: a three-level data-driven method. Virtual and Physical Prototyping 17:1, pages 105-124.
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Articles from other publishers (14)

Lichao Liu, Gang Wang, Jianlong Zhang, Liping Wang & Yiming Rong. (2024) Synchronous optimization of surface flatness and interfacial bonding strength in laser cladding by Marangoni flow. Journal of Manufacturing Processes 125, pages 25-37.
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Shanshan Chu, Athanasios Iliopoulos, John Michopoulos, Andrew Birnbaum, John Steuben, Colin Stewart, Patrick Callahan, David Rowenhorst & Johann Guilleminot. (2023) Microstructurally-informed stochastic inhomogeneity of material properties and material symmetries in 3D-printed 316 L stainless steel. Computational Mechanics 74:1, pages 85-111.
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Jinlong Su, Fulin Jiang, Jie Teng, Lequn Chen, Ming Yan, Guillermo Requena, Lai-Chang Zhang, Y Morris Wang, Ilya V Okulov, Hongmei Zhu & Chaolin Tan. (2024) Recent innovations in laser additive manufacturing of titanium alloys. International Journal of Extreme Manufacturing 6:3, pages 032001.
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Xiankun Cao, Chenghong Duan, Xiangpeng Luo, Shaopeng Zheng, Xiaojie Hao, Dazhi Shang & Zhihui Zhang. (2024) Physics-informed machine learning approach for molten pool morphology prediction and process evaluation in directed energy deposition of 12CrNi2 alloy steel. Journal of Manufacturing Processes 119, pages 806-826.
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Hao-ran Zhou, Hao Yang, Huai-qian Li, Ying-chun Ma, Sen Yu, Jian Shi, Jing-chang Cheng, Peng Gao, Bo Yu, Zhi-quan Miao & Yan-peng Wei. (2024) Advancements in machine learning for material design and process optimization in the field of additive manufacturing. China Foundry 21:2, pages 101-115.
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Nanxu Pan, Xin Ye, Peng Xia & Guangshun Zhang. (2024) The Temperature Field Prediction and Estimation of Ti-Al Alloy Twin-Wire Plasma Arc Additive Manufacturing Using a One-Dimensional Convolution Neural Network. Applied Sciences 14:2, pages 661.
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Qisheng Wang, Yangkun Mao & Kunpeng Zhu. (2024) Melt Pool Size Prediction of Laser Powder Bed Fusion by Process and Image Feature Fusion. IEEE Transactions on Instrumentation and Measurement 73, pages 1-12.
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Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage & Yaoyao Fiona Zhao. (2022) A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management. Journal of Intelligent Manufacturing 34:8, pages 3305-3340.
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Mohammad Parsazadeh, Shashank Sharma & Narendra Dahotre. (2023) Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution. Progress in Materials Science 135, pages 101102.
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Yong LI, Wanni GAN, Wenbin ZHOU & Dongsheng LI. (2023) Review on residual stress and its effects on manufacturing of aluminium alloy structural panels with typical multi-processes. Chinese Journal of Aeronautics 36:5, pages 96-124.
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Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu & Wenhe Liao. (2023) Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed Deep Learning Model. Engineering 23, pages 181-195.
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Lequn Chen, Xiling Yao, Peng Xu, Seung Ki Moon, Wei Zhou & Guijun Bi. 2023. Transactions on Intelligent Welding Manufacturing. Transactions on Intelligent Welding Manufacturing 3 30 .
Seyedeh Elnaz Mirazimzadeh, Syamak Pazireh, Jill Urbanic & Bob Hedrick. (2022) Investigation of effects of different moving heat source scanning patterns on thermo-mechanical behavior in direct energy deposition manufacturing. The International Journal of Advanced Manufacturing Technology 120:7-8, pages 4737-4753.
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Natago Guilé Mbodj, Mohammad Abuabiah, Peter Plapper, Maxime El Kandaoui & Slah Yaacoubi. (2021) Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study. Applied Sciences 11:24, pages 11949.
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