Real-time weld geometry prediction based on multi-information using neural network optimized by PCA and GA during thin-plate laser welding

Campana, 2009, Hybrid laser-MIG welding of aluminum alloys: The influence of shielding gases, Appl Surf Sci, 255, 5588, 10.1016/j.apsusc.2008.07.169 Luo, 2012, Predictive seam tracking with iteratively learned feedforward compensation for high-precision robotic laser welding, J Manuf Syst, 31, 2, 10.1016/j.jmsy.2011.03.005 Gao, 2012, Infrared image recognition for seam tracking monitoring during fiber laser welding, Mechatronics, 22, 370, 10.1016/j.mechatronics.2011.09.005 Bestard, 2018, Measurement and estimation of the weld bead geometry in arc welding processes: the last 50 years of development, J Braz Soc Mech Sci Eng, 40, 444, 10.1007/s40430-018-1359-2 Stavridis, 2017, Quality assessment in laser welding: a critical review, Int J Adv Manuf Technol, 1, 1 Kawahito, 2007, Investigation of High-power fiber laser welding phenomena of stainless steel, Trans Jwri, 36, 11 Kim, 2012, Coaxial monitoring of keyhole during Yb: YAG laser welding, Optics Laser Technol, 44, 1874, 10.1016/j.optlastec.2012.02.025 Liu, 2015, Dynamic neuro-fuzzy-based human intelligence modeling and control in GTAW, IEEE Trans Automat Sci Eng, 12, 324, 10.1109/TASE.2013.2279157 Liu, 2015, Nonlinear modeling for 3D weld Pool characteristic parameters in GTAW, Welding Journal, 94, 231 Lampa, 1997, An analytical thermodynamic model of laser welding, J Phys D (Applied Physics), 30, 1293, 10.1088/0022-3727/30/9/004 Volpp, 2016, Keyhole stability during laser welding—Part I: modeling and evaluation, Prod Eng, 10, 443, 10.1007/s11740-016-0694-3 Liu, 2017, Fusing machine algorithm with welder intelligence for adaptive welding robots, J Manuf Processes, 27, 18, 10.1016/j.jmapro.2017.03.015 Khorram, 2011, CO2 laser welding of a Ti6Al4V alloy and the effects of laser parameters on the weld geometry, Lasers Eng, 21, 135 Rong, 2016, Integrated optimization model of laser brazing by extreme learning machine and genetic algorithm, Int J Adv Manuf Technol, 87, 2943, 10.1007/s00170-016-8649-6 Zhang, 2014, Analysis of characteristics of molten pool using cast shadow during high-power disk laser welding, Int J Adv Manuf Technol, 70, 1979, 10.1007/s00170-013-5442-7 Wang, 2014, Intelligent modelling of back-side weld bead geometry using weld pool surface characteristic parameters, J Intell Manuf, 25, 1301, 10.1007/s10845-013-0731-4 Zhang, 1998, Neurofuzzy model-based predictive control of weld fusion zone geometry, IEEE Trans Fuzzy Syst, 6, 389, 10.1109/91.705507 Kovacevic, 1997, Neurofuzzy model-based weld fusion state estimation, IEEE Contr Syst Mag, 17, 30, 10.1109/37.581293 Dilthey, 1999, Using Al-methods for parameter scheduling, quality control and weld geometry determination in GMA-welding, The Iron Steel Inst Jpn, 39, 1067, 10.2355/isijinternational.39.1067 Sudhakaran, 2013, Prediction and optimization of depth of penetration for stainless steel gas tungsten arc welded plates using artificial neural networks and simulated annealing algorithm, Neural Comput Appl, 22, 637, 10.1007/s00521-011-0720-5 Ahmed, 2016, RBF-NN-based model for prediction of weld bead geometry in shielded metal arc welding (SMAW), Neural Comput Appl., 29, 889, 10.1007/s00521-016-2496-0 Alessio, 2018, Prediction of the vertical force during FSW of AZ31 magnesium alloy sheets using an artificial neural network-based model, Neural Comput Appl., 1 Juang, 1998, A comparison between the back-propagation and counter-propagation networks in the modeling of the TIG welding process, J Mater Process Technol, 75, 54, 10.1016/S0924-0136(97)00292-6 Nagesh, 2002, Prediction of weld bead geometry and penetration in shielded metal-arc welding using artificial neural networks, J Mater Process Technol, 123, 303, 10.1016/S0924-0136(02)00101-2 Zhang, 2017, Adaptive filling modeling of butt joints using genetic algorithm and neural network for laser welding with filler wire, Journal Manufacturing Processes, 30, 553, 10.1016/j.jmapro.2017.10.025 Luo, 2015, Vision-based weld pool boundary extraction and width measurement during keyhole fiber laser welding, Opt Laser Eng, 64, 59, 10.1016/j.optlaseng.2014.07.004 Kim, 2015, A study of keyhole geometry in laser welding of zinc-coated and uncoated steels using a coaxial observation method, J Mat Processing Tech, 225, 451, 10.1016/j.jmatprotec.2015.06.029 Regaard, 2007, Error detection in lap welding applications using on-line melt pool contour analysis by coaxial process monitoring with external illumination, Proc. of WLT Conference Lasers in Manufacturing Wang, 2018, Stacked sparse autoencoder with PCA and SVM for data-based line trip fault diagnosis in power systems, Neural Comput Appl., 1 Chaouch, 2017, Intelligent supervision approach based on multilayer neural PCA and nonlinear gain scheduling, Neural Comput Appl., 31, 1153, 10.1007/s00521-017-3147-9 Amirsadri, 2017, A levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training, Neural Comput Appl, 1 Ashan, 2018, Correction to: artificial neural network modelling of Cr(VI) surface adsorption with NiO nanoparticles using the results obtained from optimization of response surface methodology, Neural Comput Appl, 2016, 1 Mahmoudi, 2013, Evolving artificial neural network structure using grammar encoding and colonial competitive algorithm, Neural Comput Appl, 22, 1, 10.1007/s00521-012-0905-6