Page 72 - MSAM-4-3
P. 72

Materials Science in Additive Manufacturing                         Bead geometry prediction in laser-arc AM



               doi: 10.1108/RPJ-02-2021-0034                      doi: 10.1108/RPJ-12-2020-0300
            2.   Shi Y, Yan C, Song B,  et al. Recent advances in additive   13.  Sarıkaya M, Başcıl Önler D, Dağlı S, Hartomacıoğlu S, Günay M,
               manufacturing  technology:  Achievements  of  the  rapid   Królczyk GM. A review on aluminum alloys produced by
               manufacturing center in Huazhong University of science   wire  arc  additive  manufacturing  (WAAM):  Applications,
               and technology. Addit Manuf Front. 2024;3(2):200144.  benefits, challenges and future trends. J Mater Res Technol.
               doi: 10.1016/j.amf.2024.200144                     2024;33:5643-5670.
            3.   Yang Y, Jiang R, Han C,  et al. Frontiers in laser additive      doi: 10.1016/j.jmrt.2024.10.212
               manufacturing  technology.  Addit  Manuf  Front.   14.  Tan C, Weng F, Sui S, Chew Y, Bi G. Progress and perspectives
               2024;3(4):200160.                                  in laser additive manufacturing of key aeroengine materials.
               doi: 10.1016/j.amf.2024.200160                     Int J Machine Tools Manuf. 2021;170:103804.
            4.   Tan C, Li R, Su J, et al. Review on field assisted metal additive      doi: 10.1016/j.ijmachtools.2021.103804
               manufacturing. Int J Mach Tools Manuf. 2023;189:104032.  15.  Bai JY, Yang CL, Lin SB, Dong BL, Fan CL. Mechanical
               doi: 10.1016/j.ijmachtools.2023.104032             properties of 2219-Al components produced by additive
                                                                  manufacturing with TIG.  Int J Adv Manuf Technol.
            5.   He F, Yuan L, Mu H,  et  al. Research and application of   2016;86(1):479-485.
               artificial intelligence  techniques  for  wire  arc  additive
               manufacturing: A  State-of-the-art review.  Robot Comput      doi: 10.1007/s00170-015-8168-x
               Integr Manuf. 2023;82:102525.                   16.  Gu J, Ding J, Williams SW, Gu H, Ma P, Zhai Y. The effect of
               doi: 10.1016/j.rcim.2023.102525                    inter-layer cold working and post-deposition heat treatment
                                                                  on porosity in additively manufactured aluminum alloys.
            6.   Qin J, Hu F, Liu Y,  et al. Research and application of
               machine learning for additive manufacturing. Addit Manuf.   J Mater Process Technol. 2016;230:26-34.
               2022;52:102691.                                    doi: 10.1016/j.jmatprotec.2015.11.006

               doi: 10.1016/j.addma.2022.102691                17.  Wang Z, Xufei L, Xin L, et al. Porosity control and properties
                                                                  improvement of Al-Cu alloys via solidification condition
            7.   McNamara K, Ji Y, Lia F, et al. Predicting phase transformation   optimisation in wire and arc additive manufacturing. Virtual
               kinetics during metal additive manufacturing using non-
               isothermal Johnson-Mehl-Avrami models: Application to   Phys Prototyp. 2024;19(1):e2414408.
               Inconel 718 and Ti-6Al-4V. Addit Manuf. 2022;49:102478.     doi: 10.1080/17452759.2024.2414408
               doi: 10.1016/j.addma.2021.102478                18.  Pardal G, Martina F, Williams S. Laser stabilization of
                                                                  GMAW additive manufacturing of Ti-6Al-4V components.
            8.   Kim  DO,  Lee  CM,  Kim  DH.  Determining  optimal
               bead central angle by applying machine learning to   J Mater Process Technol. 2019;272:1-8.
               wire arc additive manufacturing (WAAM).  Heliyon.      doi: 10.1016/j.jmatprotec.2019.04.036
               2024;10(1):e23372.
                                                               19.  Li R, Wang R, Zhou X, et al. Microstructure and mechanical
               doi: 10.1016/j.heliyon.2023.e23372                 properties of 2319 aluminum alloy deposited by laser and
            9.   Li R, Ju G, Zhao X, et al. Simulation of residual stress and   cold metal transfer hybrid additive manufacturing. J Mater
               distortion evolution in dual-robot collaborative wire-  Res Technol. 2023;26:6342-6355.
               arc additive manufactured Al-Cu alloys.  Virtual Phys      doi: 10.1016/j.jmrt.2023.08.312
               Prototyp. 2024;19(1):e2409390.
                                                               20.  Yu A, Pan Y, Wan F, Sun G, Zhang J, Lu X. Rapid
               doi: 10.1080/17452759.2024.2409390                 accomplishment of cost-effective and macro-defect-free
            10.  Zhou X, Fang Y, Zhang T, Xiong Z. Retrospective: Advances   LPBF-processed Ti parts based on deep data augmentation.
               and opportunities of 3D bioprinting in china over three   J Manuf Process. 2024;120:1023-1034.
               decades. Addit Manuf Front. 2024;3(4):200157.      doi: 10.1016/j.jmapro.2024.05.003
               doi: 10.1016/j.amf.2024.200157                  21.  Zhu D, Zhu H, Liu X, et al. CREDO: Efficient and privacy-
            11.  Singh  S, Sharma SK, Rathod DW. A  review on process   preserving multi-level medical pre-diagnosis based on
               planning strategies and challenges of WAAM. Mater Today   ML-KNN. Inform Sci. 2020;514:244-262.
               Proceed. 2021;47:6564-6575.                        doi: 10.1016/j.ins.2019.11.041
               doi: 10.1016/j.matpr.2021.02.632                22.  Headley CV, Herrera Del Valle RJ, Ma J,  et al. The
            12.  Dai F, Zhang S, Li R, Zhang H. Multiaxis wire and arc   development of an augmented machine learning approach
               additive manufacturing for overhangs based on conical   for the additive manufacturing of thermoelectric materials.
               substrates. Rapid Prototy J. 2022;28(1):126-142.   J Manuf Process. 2024;116:165-175.


            Volume 4 Issue 3 (2025)                         15                        doi: 10.36922/MSAM025220036
   67   68   69   70   71   72   73   74   75   76   77