1. J. Xiong, G. Zhang, Adaptive control of deposited height in GMAW-based layer additive manufacturing, Journal of Materials Processing Technology. 214 (2014) 962–968. DOI: 10.1016/j.jmatprotec.2013.11.014
2. L. Tang, R.G. Landers, Melt Pool Temperature Control for Laser Metal Deposition Processes—Part II: Layer-to-Layer Temperature Control, Journal of Manufacturing Science and Engineering. 132 (2010) 011011. DOI: 10.1115/1.4000883
3. S.K. Everton, M. Hirsch, P. Stravroulakis, R.K. Leach, A.T. Clare, Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing, Materials & Design. 95 (2016) 431–445. DOI: 10.1016/j.matdes.2016.01.099
4. H.-W. Hsu, Y.-L. Lo, M.-H. Lee, Vision-based inspection system for cladding height measurement in Direct Energy Deposition (DED), Additive Manufacturing. 27 (2019) 372–378. DOI: 10.1016/j.addma.2019.03.017
5. N. Decker, Y. Wang, Q. Huang, Efficiently registering scan point clouds of 3D printed parts for shape accuracy assessment and modeling, Journal of Manufacturing Systems. 56 (2020) 587–597. DOI: 10.1016/j.jmsy.2020.04.001
6. C. Xia, Z. Pan, J. Polden, H. Li, Y. Xu, S. Chen, Y. Zhang, A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system, Journal of Manufacturing Systems. 57 (2020) 31–45. DOI: 10.1016/j.jmsy.2020.08.008
7. Micro-Epsilon Messtechnik, Laser line triangulation | Micro-Epsilon, Micro-Epsilon Messtechnik. (n.d.). https://www.micro-epsilon.com (accessed December 20, 2022).
8. L. Yang, K. Hsu, B. Baughman, D. Godfrey, F. Medina, M. Menon, S. Wiener, Additive Manufacturing of Metals: The Technology, Materials, Design and Production, Springer International Publishing, Cham, 2017. DOI: 10.1007/978-3-319-55128-9
9. I. Jeon, L. Yang, K. Ryu, H. Sohn, Online melt pool depth estimation during directed energy deposition using coaxial infrared camera, laser line scanner, and artificial neural network, Additive Manufacturing. 47 (2021) 102295. DOI: 10.1016/j.addma.2021.102295
10. D. Tyralla, H. Köhler, T. Seefeld, C. Thomy, R. Narita, A multi-parameter control of track geometry and melt pool size for laser metal deposition, Procedia CIRP. 94 (2020) 430–435. DOI: 10.1016/j.procir.2020.09.159
11. B.T. Gibson, Y.K. Bandari, B.S. Richardson, W.C. Henry, E.J. Vetland, T.W. Sundermann, L.J. Love, Melt pool size control through multiple closed-loop modalities in laser-wire directed energy deposition of Ti-6Al-4V, Additive Manufacturing. 32 (2020) 100993. DOI: 10.1016/j.addma.2019.100993
12. Y. Lu, G. Sun, X. Xiao, J. Mazumder, Online Stress Measurement During Laser-aided Metallic Additive Manufacturing, Sci Rep. 9 (2019) 7630. DOI: 10.1038/s41598-019-39849-0
13. S. Kim, I. Jeon, H. Sohn, Infrared thermographic imaging based real-time layer height estimation during directed energy deposition, Optics and Lasers in Engineering. 168 (2023) 107661. DOI: 10.1016/j.optlaseng.2023.107661
14. R. Sampson, R. Lancaster, M. Sutcliffe, D. Carswell, C. Hauser, J. Barras, The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems, Optics & Laser Technology. 134 (2021) 106609. DOI: 10.1016/j.optlastec.2020.106609
15. M. Borish, B.K. Post, A. Roschli, P.C. Chesser, L.J. Love, K.T. Gaul, Defect Identification and Mitigation Via Visual Inspection in Large-Scale Additive Manufacturing, JOM. 71 (2019) 893–899. DOI: 10.1007/s11837-018-3220-6
16. M. Faes, F. Vogeler, K. Coppens, H. Valkenaers, W. Abbeloos, T. Goedeme, E. Ferraris, Process Monitoring of Extrusion Based 3D Printing via Laser Scanning, (2014). DOI: 10.13140/2.1.5175.0081
17. W. Lin, H. Shen, J. Fu, S. Wu, Online quality monitoring in material extrusion additive manufacturing processes based on laser scanning technology, Precision Engineering. 60 (2019) 76–84. DOI: 10.1016/j.precisioneng.2019.06.004
18. A. Vandone, S. Baraldo, A. Valente, Multisensor Data Fusion for Additive Manufacturing Process Control, IEEE Robot. Autom. Lett. 3 (2018) 3279–3284. DOI: 10.1109/LRA.2018.2851792
19. A. Heralić, A.-K. Christiansson, B. Lennartson, Height control of laser metal-wire deposition based on iterative learning control and 3D scanning, Optics and Lasers in Engineering. 50 (2012) 1230–1241. DOI: 10.1016/j.optlaseng.2012.03.016
20. R.C. Gonzalez, R.E. Woods, Digital image processing, Pearson, New York, NY, 2018.
21. D. Deng, DBSCAN Clustering Algorithm Based on Density, in: 2020 7th International Forum on Electrical Engineering and Automation (IFEEA), 2020: pp. 949–953. DOI: 10.1109/IFEEA51475.2020.00199
22. P.G. Guest, P.G. Guest, Numerical Methods of Curve Fitting, Cambridge University Press, 2012.
23. L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam, Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation, (2018). http://arxiv.org/abs/1802.02611 (accessed October 28, 2022).
24. W. Yuan, T. Khot, D. Held, C. Mertz, M. Hebert, PCN: Point Completion Network, in: 2018 International Conference on 3D Vision (3DV), IEEE, Verona, 2018: pp. 728–737. DOI: 10.1109/3DV.2018.00088
25. X. Yu, Y. Rao, Z. Wang, Z. Liu, J. Lu, J. Zhou, PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, Montreal, QC, Canada, 2021: pp. 12478–12487. DOI: 10.1109/ICCV48922.2021.01227
26. K. He, X. Zhang, S. Ren, J. Sun, Deep Residual Learning for Image Recognition, in: 2016: pp. 770–778. https://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html (accessed December 5, 2022).
27. L.-C. Chen, G. Papandreou, F. Schroff, H. Adam, Rethinking Atrous Convolution for Semantic Image Segmentation, (2017). DOI: 10.48550/arXiv.1706.05587
28. J. Santolaria, J.J. Pastor, F.J. Brosed, J.J. Aguilar, A one-step intrinsic and extrinsic calibration method for laser line scanner operation in coordinate measuring machines, Meas. Sci. Technol. 20 (2009) 045107. DOI: 10.1088/0957-0233/20/4/045107

Informazioni sul capitolo

Informazioni bibliografiche