Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images
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DOI: 10.1007/s10845-018-1412-0
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Cited by:
- Ying Zhang & Mutahar Safdar & Jiarui Xie & Jinghao Li & Manuel Sage & Yaoyao Fiona Zhao, 2023. "A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management," Journal of Intelligent Manufacturing, Springer, vol. 34(8), pages 3305-3340, December.
- Jingchang Li & Qi Zhou & Xufeng Huang & Menglei Li & Longchao Cao, 2023. "In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 853-867, February.
- Paromita Nath & Sankaran Mahadevan, 2023. "Probabilistic predictive control of porosity in laser powder bed fusion," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1085-1103, March.
- Yong Ren & Qian Wang, 2022. "Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2239-2256, December.
- Vivek Mahato & Muhannad Ahmed Obeidi & Dermot Brabazon & Pádraig Cunningham, 2022. "Detecting voids in 3D printing using melt pool time series data," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 845-852, March.
- Jingchang Li & Longchao Cao & Jiexiang Hu & Minhua Sheng & Qi Zhou & Peng Jin, 2022. "A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 687-702, March.
- Chunyang Xia & Zengxi Pan & Joseph Polden & Huijun Li & Yanling Xu & Shanben Chen, 2022. "Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1467-1482, June.
- Yilin Guo & Wen Feng Lu & Jerry Ying Hsi Fuh, 2021. "Semi-supervised deep learning based framework for assessing manufacturability of cellular structures in direct metal laser sintering process," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 347-359, February.
- Tamie Takeda Yokoyama & Satie Ledoux Takeda-Berger & Marco Aurélio Oliveira & Andre Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Enzo Morosini Frazzon, 2023. "Bayesian networks as a guide to value stream mapping for lean office implementation: a proposed framework," Operations Management Research, Springer, vol. 16(1), pages 49-79, March.
- Osama Aljarrah & Jun Li & Alfa Heryudono & Wenzhen Huang & Jing Bi, 2023. "Predicting part distortion field in additive manufacturing: a data-driven framework," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1975-1993, April.
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Keywords
Additive manufacturing; Online quality inspection; In-situ defect detection; Bayesian inference; Supervised learning; Feature-based classification; Computer vision; Metal powder-bed additive manufacturing; Laser powder-bed fusion; 3D printing;All these keywords.
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