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Engineering Science in
            Additive Manufacturing                                        ML in MAM monitoring and control through images



               optimization. J Manuf Syst. 2024;75:322-332.    33.  Chua ZY, Ahn IH, Moon SK. Process monitoring and
                                                                  inspection systems in metal additive manufacturing: Status
               doi: 10.1016/j.jmsy.2024.04.023
                                                                  and applications.  Int J Precis Eng Manuf Green Technol.
            23.  Cao XK, Duan CH, Luo XP,  et al. Deep learning-based   2017;4(2):235-245.
               rapid prediction of temperature field and intelligent control
               of molten pool during directed energy deposition process.      doi: 10.1007/s40684-017-0029-7
               Addit Manuf. 2024;94:104501.                    34.  Tang ZJ, Liu WW, Wang YW,  et al. A  review on  in situ
                                                                  monitoring technology for directed energy  deposition of
               doi: 10.1016/j.addma.2024.104501
                                                                  metals. Int J Adv Manuf Technol. 2020;108(11-12):3437-3463.
            24.  Hu KX, Guo K, Li WD, Wang YH. Temperature evolution      doi: 10.1007/s00170-020-05569-3
               prediction for laser directed energy deposition enabled by
               finite element modelling and bi-directional gated recurrent   35.  Wu B, Ji XY, Zhou JX, et al. In situ monitoring methods for
               unit. Adv Manuf. 2024.                             selective laser melting additive manufacturing process based
                                                                  on images-A review. China Foundry. 2021;18(4):265-285.
               doi: 10.1007/s40436-024-00511-2
                                                                  doi: 10.1007/s41230-021-1111-x
            25.  Xia C, Pan Z, Polden J, et al. A review on wire arc additive
               manufacturing: Monitoring, control and a framework of   36.  McCann R, Obeidi MA, Hughes C,  et al.  In-situ sensing,
               automated system. J Manuf Syst. 2020;57:31-45.     process monitoring and machine control in Laser Powder
                                                                  Bed Fusion: A review. Addit Manuf. 2021;45:102058.
               doi: 10.1016/j.jmsy.2020.08.008
                                                                  doi: 10.1016/j.addma.2021.102058
            26.  Grasso M, Remani A, Dickins A, Colosimo BM, Leach RK.
               In-situ measurement and monitoring methods for metal   37.  Keaveney S, Shmeliov A, Nicolosi V, Dowling DP.
               powder bed fusion: An updated review. Measur Sci Technol.   Investigation of  process  by-products  during  the Selective
               2021;32(11):112001.                                Laser Melting of Ti6AL4V powder.  Addit Manuf.
                                                                  2020;36:101514.
               doi: 10.1088/1361-6501/ac0b6b
                                                                  doi: 10.1016/j.addma.2020.101514
            27.  AbouelNour Y, Gupta N. In-situ monitoring of sub-surface
               and internal defects in additive manufacturing: A  review.   38.  Wang MJ, Kashaev N. On the maintenance of processing
               Mater Des. 2022;222:111063.                        stability and consistency in laser-directed energy deposition
                                                                  via machine learning. J Manuf Syst. 2024;73:126-142.
               doi: 10.1016/j.matdes.2022.111063
                                                                  doi: 10.1016/j.jmsy.2024.01.005
            28.  Wang P, Yang Y, Moghaddam NS. Process modeling in laser
               powder bed fusion towards defect detection and quality   39.  Aggarwal A, Pandiyan V, Leinenbach C, Leparoux M.
               control via machine learning: The state-of-the-art and   Investigating laser beam shadowing and powder particle
               research challenges. J Manuf Process. 2022;73:961-984.  dynamics in directed energy deposition through high-
                                                                  fidelity modelling and high-speed imaging.  Addit Manuf.
               doi: 10.1016/j.jmapro.2021.11.037                  2024;91:104344.
            29.  Qin J, Hu F, Liu Y,  et al. Research and application of      doi: 10.1016/j.addma.2024.104344
               machine learning for additive manufacturing. Addit Manuf.
               2022;52:102691.                                 40.  Myers AJ, Quirarte G, Ogoke F, et al. High-resolution melt
                                                                  pool thermal imaging for metals additive manufacturing
               doi: 10.1016/j.addma.2022.102691                   using the two-color method with a color camera.  Addit
            30.  Cai Y, Xiong J, Chen H, Zhang G. A  review of  in-situ   Manuf. 2023;73:103663.
               monitoring and process control system in metal-based laser      doi: 10.1016/j.addma.2023.103663
               additive manufacturing. J Manuf Syst. 2023;70:309-326.
                                                               41.  Hooper PA. Melt pool temperature and cooling rates in laser
               doi: 10.1016/j.jmsy.2023.07.018                    powder bed fusion. Addit Manuf. 2018;22:548-559.
            31.  Mu H, He F, Yuan L, Commins P, Wang H, Pan Z. Toward      doi: 10.1016/j.addma.2018.05.032
               a smart wire arc additive manufacturing system: A review
               on current developments and a framework of digital twin.   42.  Calta NP, Martin AA, Hammons JA,  et al. Pressure
                                                                  dependence of  the laser-metal interaction under  laser
               J Manuf Syst. 2023;67:174-189.
                                                                  powder bed fusion conditions probed by  in situ X-ray
               doi: 10.1016/j.jmsy.2023.01.012                    imaging. Addit Manufa. 2020;32:101084.
            32.  Everton SK, Hirsch M, Stravroulakis P, Leach RK, Clare AT.      doi: 10.1016/j.addma.2020.101084
               Review of in-situ process monitoring and in-situ metrology for   43.  Leung CLA, Marussi S, Towrie M,  et al. Laser-matter
               metal additive manufacturing. Mater Des. 2016;95:431-445.
                                                                  interactions in additive manufacturing of stainless steel
               doi: 10.1016/j.matdes.2016.01.099                  SS316L and 13-93 bioactive glass revealed by in situ X-ray


            Volume 1 Issue 1 (2025)                         21                             doi: 10.36922/esam.8548
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