Page 38 - IJAMD-1-3
P. 38

International Journal of AI for
            Materials and Design
                                                                 Prediction of wall geometry for wire arc additive manufacturing


            27.  Xiong J, Zhang G, Hu J, Wu L. Bead geometry prediction   and intelligent laboratory systems. 1989;6:259-272.
               for robotic GMAW-based rapid manufacturing through   34.  Turgut B, Gürol U, Onler R. Effect of interlayer dwell time
               a neural network and a second-order regression analysis.   on output quality in wire arc additive manufacturing of low
               J Intell Manuf. 2014;25:157-163.
                                                                  carbon low alloy steel components. Int J Adv Manuf Technol.
               doi: 10.1007/s10845- 012-0682-1                    2023;126:5277-5288.
            28.  Ríos S, Colegrove PA, Martina F, Williams SW. Analytical      doi: 10.1007/s00170-023-11481-3
               process model for wire + arc additive manufacturing. Addit   35.  Suryakumara  S,  Karunakaran  KP,  Bernard  A,
               Manuf. 2018;21:651-657.
                                                                  Chandrasekhar U, Raghavender N, Sharma D. Weld bead
               doi: 10.1016/j.addma.2018.04.003                   modeling and process optimization in Hybrid Layered
                                                                  Manufacturing. Comput Aided Des. 2011;43:331-344.
            29.  Nagesh DS, Datta GL. Prediction of weld bead geometry and
               penetration in shielded metal-arc welding using artificial      doi: 10.1016/j.cad.2011.01.006
               neural networks. J Mater Process Technol. 2002;123:303-312.
                                                               36.  Hu Z, Qin X, Li Y, Ni M. Welding parameters prediction
               doi: 10.1016/S0924-0136(02)00101-2                 for arbitrary layer height in robotic wire and arc additive
                                                                  manufacturing. J Mech Sci Technol. 2020;34:1683-1695.
            30.  Rao PS, Gupta OP, Murty SSN, Rao ABK. Effect of process
               parameters and mathematical model for the prediction of      doi: 10.1007/s12206-020-0331-0
               bead geometry in pulsed GMA welding. Int J Adv Manuf   37.  Wang  L,  Xue  J,  Wang  Q.  Correlation  between  arc  mode,
               Technol. 2009;45:496-505.
                                                                  microstructure, and mechanical properties during wire arc
               doi: 10.1007/s00170-009-1991-1                     additive manufacturing of 316L stainless steel. Mater Sci Eng
                                                                  A. 2019;751:183-190.
            31.  Bourlet C, Zimmer-Chevret S, Pesci R, Bigot R, Robineau A,
               Scandella F. Microstructure and mechanical properties of      doi: 10.1016/j.msea.2019.02.078
               high strength steel deposits obtained by Wire-Arc Additive   38.  Wahsh L, ElShater A, Mansour A, et al. Parameter selection
               Manufacturing. J Mater Process Technol. 2020;285:116759.
                                                                  for  wire  arc additive manufacturing  (WAAM)  process.
               doi: 10.1016/j.jmatprotec.2020.116759              Mater Sci Technol. 2018;1:78-85.
            32.  Spencer JD, Dickens PM, Wykes CM. Rapid prototyping of      doi: 10.7449/2018mst/2018/mst_2018_78_85
               metal parts by three-dimensional welding. Proc Inst Mech   39.  Patel VK, Savsani VJ. A multi-objective improved teaching-
               Eng Part B J Eng Manuf. 1998;212:175-182.
                                                                  learning based optimization algorithm (MO-ITLBO).  Inf
               doi: 10.1243/0954405981515590                      Sci. 2016;357:182-200.
            33.  Sthle L, Wold S. Analysis of variance (ANOVA), chemometrics      doi: 10.1016/j.ins.2014.05.049



































            Volume 1 Issue 3 (2024)                         32                             doi: 10.36922/ijamd.4285
   33   34   35   36   37   38   39   40   41   42   43