Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature
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Qi Zhou | Ping Jiang | Wang Cai | Longchao Cao | Jianzhuang Wang | Gaoyang Mi | P. Jiang | Qi Zhou | Longchao Cao | Gaoyang Mi | Wang Cai | Jianzhuang Wang
[1] A. Kuznetsov,et al. Monitoring of Laser and Hybrid Welding of Steels and Al-alloys , 2014 .
[2] Xiangzhong Jin,et al. Research on laser welding of high-strength galvanized automobile steel sheets , 2009 .
[3] Shusen Zhao,et al. Numerical simulation and experimental investigation of laser overlap welding of Ti6Al4V and 42CrMo , 2011 .
[4] G. Pritschow,et al. Robust laser-stripe sensor for automated weld-seam-tracking in the shipbuilding industry , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).
[5] L. M. Smith,et al. Absolute displacement measurements using modulation of the spectrum of white light in a Michelson interferometer. , 1989, Applied optics.
[6] Yung C. Shin,et al. Estimation of keyhole geometry and prediction of welding defects during laser welding based on a vision system and a radial basis function neural network , 2015 .
[7] Ronald Tetzlaff,et al. Closed-loop Control of Laser Power using the Full Penetration Hole Image Feature in Aluminum Welding Processes , 2011 .
[8] R. Kling,et al. Closed loop control for laser micro spot welding using fast pyrometer systems , 2010 .
[9] Reinhart Poprawe,et al. Seam-tracking for high precision laser welding applications—Methods, restrictions and enhanced concepts , 2009 .
[10] Yi Zhang,et al. Research on key influence factors of laser overlap welding of automobile body galvanized steel , 2013 .
[11] Yu Kang Liu,et al. Model-Based Predictive Control of Weld Penetration in Gas Tungsten Arc Welding , 2014, IEEE Transactions on Control Systems Technology.
[12] Seiji Katayama,et al. Elucidation of phenomena in high-power fiber laser welding and development of prevention procedures of welding defects , 2009, LASE.
[13] S. Katayama,et al. Review of laser welding monitoring , 2014 .
[14] Do-Chang Ahn,et al. Coaxial monitoring of keyhole during Yb:YAG laser welding , 2012 .
[15] A. Drenker,et al. Detectability of Penetration based on Weld Pool Geometry and Process Emission Spectrum in Laser Welding of Copper , 2013 .
[16] Tony Hoult,et al. Coaxial real-time metrology and gas assisted laser micromachining: process development, stochastic behavior, and feedback control , 2010, MOEMS-MEMS.
[17] Xiangdong Gao,et al. Detection of weld position and seam tracking based on Kalman filtering of weld pool images , 2005 .
[18] C. Wu,et al. Visual sensing of the weld pool geometry from the topside view in keyhole plasma arc welding , 2017 .
[19] Radovan Kovacevic,et al. Real-time monitoring of laser welding of galvanized high strength steel in lap joint configuration , 2012 .
[20] Shanben Chen,et al. Modeling of pulsed GTAW based on multi‐sensor fusion , 2009 .
[21] Armin Austerschulte,et al. Controlling the thermally induced focal shift in laser processing heads , 2012, LASE.
[22] Utilisation of Thermal Radiation for Process Monitoring , 2011 .
[23] L. Dubourg,et al. Laser ultrasonics for defect detection and residual stress measurement of friction stir welds , 2011 .
[24] Ziqin Chen,et al. Status analysis of keyhole bottom in laser-MAG hybrid welding process. , 2018, Optics express.
[25] XueWu Wang,et al. Intelligent modelling of back-side weld bead geometry using weld pool surface characteristic parameters , 2014, J. Intell. Manuf..
[26] Teng Wang,et al. Real-time monitoring of high-power disk laser welding based on support vector machine , 2018, Comput. Ind..
[27] Yukang Liu,et al. Toward Welding Robot With Human Knowledge: A Remotely-Controlled Approach , 2015, IEEE Transactions on Automation Science and Engineering.
[28] Ronald G.K.M. Aarts,et al. Study on the correlation between plasma electron temperature and penetration depth in laser welding processes , 2010 .
[29] Tao Lin,et al. Robot welding seam tracking method based on passive vision for thin plate closed-gap butt welding , 2010 .
[30] Radovan Kovacevic,et al. Real-time monitoring of the laser hot-wire welding process , 2014 .
[31] Tao Lin,et al. Binocular vision system for both weld pool and root gap in robot welding process , 2010 .
[32] Seiji Katayama,et al. Relationship between spatter formation and dynamic molten pool during high-power deep-penetration laser welding , 2014 .
[33] Thomas B. Moeslund,et al. Thermal cameras and applications: a survey , 2013, Machine Vision and Applications.
[34] Y. Shin,et al. Prospects of laser welding technology in the automotive industry: A review , 2017 .
[35] Lei Yang,et al. Measurement of weld penetration depths in thin structures using transmission coefficients of laser‐generated Lamb waves and neural network , 2017, Ultrasonics.
[36] Dorthe Wildenschild,et al. Image processing of multiphase images obtained via X‐ray microtomography: A review , 2014 .
[37] Patrick M. Pilarski,et al. Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning , 2016 .
[38] Shanben Chen,et al. Passive vision based seam tracking system for pulse-MAG welding , 2013 .
[39] Xiangdong Gao,et al. Modeling for detecting micro-gap weld based on magneto-optical imaging , 2015 .
[40] Perry P. Gao,et al. Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates , 2019, Journal of Manufacturing Systems.
[41] John Stavridis,et al. Quality assessment in laser welding: a critical review , 2017, The International Journal of Advanced Manufacturing Technology.
[42] Lu Zhang,et al. Real-time monitoring of welding process using air-coupled ultrasonics and acoustic emission , 2018, The International Journal of Advanced Manufacturing Technology.
[43] H. Doude,et al. Optimizing weld quality of a friction stir welded aluminum alloy , 2015 .
[44] A. Veld,et al. Process Control of Stainless Steel Laser Welding using an Optical Spectroscopic Sensor , 2011 .
[46] Seiji Katayama,et al. In-process monitoring and feedback control for stable production of full-penetration weld in continuous wave fibre laser welding , 2009 .
[47] Jianxun Zhang,et al. Numerical simulation of full penetration laser welding of thick steel plate with high power high brightness laser , 2014 .
[48] Deyong You,et al. WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM , 2015, IEEE Transactions on Industrial Electronics.
[49] Xiangdong Gao,et al. Quality Monitoring for Laser Welding Based on High-Speed Photography and Support Vector Machine , 2017 .
[50] Deyong You,et al. Prediction of high power laser welding status based on PCA and SVM classification of multiple sensors , 2019, J. Intell. Manuf..
[51] J. J. Blecher,et al. Real time monitoring of laser beam welding keyhole depth by laser interferometry , 2014 .
[52] Yu-Liang Hsu,et al. The Application of Deep Learning and Image Processing Technology in Laser Positioning , 2018, Applied Sciences.
[53] Rudolf Weber,et al. Effects of Welding Parameters Onto Keyhole Geometry for Partial Penetration Laser Welding , 2013 .
[54] Bo Chen,et al. A study on application of multi-sensor information fusion in pulsed GTAW , 2010, Ind. Robot.
[55] Jean-Pierre Kruth,et al. Feedback control of Layerwise Laser Melting using optical sensors , 2010 .
[56] C. Kang,et al. Effect of plasma current on surface defects of plasma-MIG welding in cryogenic aluminum alloys , 2015 .
[57] Remote Optical Detection of the Fusion State in Laser Deep Penetration Welding , 2013 .
[58] H. Qi,et al. Vision-based keyhole detection in laser full penetration welding process , 2016 .
[59] Yuquan Chen,et al. Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network , 2017 .
[60] Elke Kaiser,et al. Process parameters optimization for multiple-inputs-multiple-outputs pulsed green laser welding via response surface methodology , 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
[61] Hana Chmelickova,et al. Laser welding control by monitoring of plasma , 2013, Optical Metrology.
[62] Seiji Katayama,et al. Weld-pool image centroid algorithm for seam-tracking vision model in arc-welding process , 2011 .
[63] Suck-Joo Na,et al. A study on automatic seam tracking in pulsed laser edge welding by using a vision sensor without an auxiliary light source , 2002 .
[64] Paulraj Sathiya,et al. Optimization of laser welding process parameters for super austenitic stainless steel using artificial neural networks and genetic algorithm , 2012 .
[65] Hana Chmelickova,et al. Non-destructive Real Time Monitoring of the Laser Welding Process , 2012, Journal of Materials Engineering and Performance.
[66] Weiqi Wang,et al. A Quantitative Model of Keyhole Instability Induced Porosity in Laser Welding of Titanium Alloy , 2014, Metallurgical and Materials Transactions A.
[67] M. Šarbort,et al. Correlation between the Keyhole Depth and the Frequency Characteristics of Light Emissions in Laser Welding , 2013 .
[68] Rudimar Riva,et al. Ultrasonic inspection of AA6013 laser welded joints , 2011 .
[69] Xinyu Shao,et al. Optimization of welding process parameters by combining Kriging surrogate with particle swarm optimization algorithm , 2016 .
[70] Luigi Nele,et al. An image acquisition system for real-time seam tracking , 2013 .
[71] Robert Schmitt,et al. Tomographical process monitoring of laser transmission welding with OCT , 2017, Optical Metrology.
[72] F. Lu,et al. Investigation on the effects of shielding gas on porosity in fiber laser welding of T-joint steels , 2015 .
[73] Chunming Wang,et al. Interaction between laser-induced plasma/vapor and arc plasma during fiber laser-MIG hybrid welding , 2011 .
[74] Philippe Bournot,et al. Nd:YAG Laser Welding of AZ91 Magnesium Alloy for Aerospace Industries , 2009 .
[75] Gunther Reinhart,et al. A holistic approach for the cognitive control of production systems , 2010, Adv. Eng. Informatics.
[76] Yi Zhang,et al. Coaxial monitoring of the fibre laser lap welding of Zn-coated steel sheets using an auxiliary illuminant , 2013 .
[77] Ulrich Thombansen,et al. Machine learning as a comparative tool to determine the relevance of signal features in laser welding , 2018 .
[78] Stefan Kaierle,et al. Understanding the Laser Process , 2010 .
[79] Radovan Kovacevic,et al. Development of a real-time laser-based machine vision system to monitor and control welding processes , 2012 .
[80] Michel Pilloz,et al. The infrared thermography control of the laser welding of amorphous polymers , 2008 .
[81] Weifeng Zhang,et al. Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks , 2020 .
[82] Chris Allen,et al. Investigation of optical sensor approaches for real-time monitoring during fibre laser welding , 2017 .
[83] Madavan Vasudevan,et al. Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Models for Predicting the Weld Bead Width and Depth of Penetration from the Infrared Thermal Image of the Weld Pool , 2012, Metallurgical and Materials Transactions B.
[84] Frank Vollertsen,et al. Contact-less temperature measurement and control with applications to laser cladding , 2015, Welding in the World.
[85] Margie P. Olbinado,et al. Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach , 2018 .
[86] P. Jiang,et al. Optimization of processing parameters of AISI 316L laser welding influenced by external magnetic field combining RBFNN and GA , 2017 .
[87] Huanwei Yu,et al. Real-time defect detection in pulsed GTAW of Al alloys through on-line spectroscopy , 2013 .
[88] T. Jayakumar,et al. Intelligent modeling for estimating weld bead width and depth of penetration from infra-red thermal images of the weld pool , 2015, J. Intell. Manuf..
[89] Ruisheng Huang,et al. Infrared temperature measurement and interference analysis of magnesium alloys in hybrid laser-TIG welding process , 2007 .
[90] Enrico Vezzetti,et al. Resistance spot welding process simulation for variational analysis on compliant assemblies , 2015 .
[91] Stefan Kaierle. Process Monitoring and Control of Laser Beam Welding Measuring Quantifiable Data for Improved Processing Results , 2008 .
[92] Kei Yamazaki,et al. The measurement of metal droplet temperature in GMA welding by infrared two-colour pyrometry , 2010 .
[93] Logan G. Wright,et al. Automatic real-time guidance of laser machining with inline coherent imaging , 2011 .
[94] S. Katayama,et al. A Novel Stability Quantification for Disk Laser Welding by Using Frequency Correlation Coefficient Between Multiple-Optics Signals , 2015, IEEE/ASME Transactions on Mechatronics.
[95] Xinhua Tang,et al. Application of circular laser vision sensor (CLVS) on welded seam tracking , 2008 .
[96] G. Casalino,et al. An ANN and Taguchi algorithms integrated approach to the optimization of CO2 laser welding , 2006, Adv. Eng. Softw..
[97] Margaret Lucas,et al. A study of weld quality in ultrasonic spot welding of similar and dissimilar metals , 2012 .
[98] K. Rameshkumar,et al. Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature , 2015 .
[99] Genyu Chen,et al. Effects of welding parameters on weld geometry during high-power laser welding of thick plate , 2015 .
[100] Alexander Kaplan,et al. Root humping in laser welding - an investigation based on high speed imaging , 2012 .
[101] Yanling Xu,et al. Online defect detection of Al alloy in arc welding based on feature extraction of arc spectroscopy signal , 2015 .
[102] Xiangdong Gao,et al. Real-time Monitoring for Disk Laser Welding Based on Feature Selection and SVM , 2017 .
[103] Antonio Ancona,et al. Spectroscopic monitoring of penetration depth in CO2 Nd:YAG and fiber laser welding processes , 2012 .
[104] ZuMing Liu,et al. Visualizing the influence of the process parameters on the keyhole dimensions in plasma arc welding , 2012 .
[105] Kamal Pal,et al. Monitoring of Weld Penetration Using Arc Acoustics , 2011 .
[106] Dominique Grevey,et al. Application of near infrared pyrometry for continuous Nd:YAG laser welding of stainless steel , 2000 .
[107] Sonja Huber,et al. Characteristic line emissions of the metal vapour during laser beam welding , 2011, Prod. Eng..
[108] Seiji Katayama,et al. High power disk laser-metal active gas arc hybrid welding of thick high tensile strength steel plates , 2016 .
[109] Ziqin Chen,et al. Detection of Weld Cracks Using Magneto-optical Imaging , 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).
[110] Chuanbao Jia,et al. Sensing controlled pulse key-holing condition in plasma arc welding , 2009 .
[111] Daniel F. Garcia,et al. Low-Cost System for Weld Tracking Based on Artificial Vision , 2011 .
[112] Tapio Frantti,et al. Adaptive real-time fuzzy X-ray solder joint inspection system , 2002 .
[113] Yanxi Zhang,et al. Effect of joint gap on bead formation in laser butt welding of stainless steel , 2017 .
[114] G. L. Datta,et al. Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process , 2010, Appl. Soft Comput..
[115] Deyong You,et al. Weldment Nondestructive Testing Using Magneto-optical Imaging Induced by Alternating Magnetic Field , 2017 .
[116] Shanben Chen,et al. Prediction of pulsed GTAW penetration status based on BP neural network and D-S evidence theory information fusion , 2010 .
[117] S. Katayama,et al. High quality welding of stainless steel with 10 kW high power fibre laser , 2009 .
[118] Wei Liu,et al. Parameters optimization and objective trend analysis for fiber laser keyhole welding based on Taguchi-FEA , 2017 .
[119] Radovan Kovacevic,et al. 3D finite element modeling of the thermally induced residual stress in the hybrid laser/arc welding of lap joint , 2010 .
[120] Isabelle Choquet,et al. Laser Welding Process – A Review of Keyhole Welding Modelling , 2015 .
[121] Ping Jiang,et al. Correlation of high power laser welding parameters with real weld geometry and microstructure , 2017 .
[122] C. Wu,et al. Measurement of the keyhole entrance and topside weld pool geometries in keyhole plasma arc welding with dual CCD cameras , 2017 .
[123] Ladislav Hluchý,et al. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey , 2019, Artificial Intelligence Review.
[124] L. J. Miguel,et al. Laser welding defects detection in automotive industry based on radiation and spectroscopical measurements , 2010 .
[125] Ronald Tetzlaff,et al. A novel spatter detection algorithm based on typical cellular neural network operations for laser beam welding processes , 2011 .
[126] Zong-Yi Wang,et al. A vision-based system for post-welding quality measurement and defect detection , 2016 .
[127] Markus Kogel-Hollacher,et al. Inline monitoring of laser processing: new industrial results with the low coherence interferometry sensor approach , 2016, SPIE LASE.
[128] Christian Kägeler,et al. Frequency-based analysis of weld pool dynamics and keyhole oscillations at laser beam welding of galvanized steel sheets , 2010 .
[129] Meiko Boley,et al. X-Ray and Optical Videography for 3D Measurement of Capillary and Melt Pool Geometry in Laser Welding , 2013 .
[130] Michael Rethmeier,et al. Numerical simulation of full-penetration laser beam welding of thick aluminium plates with inductive support , 2012 .
[131] Chang-Pin Chou,et al. Modeling and optimization of Nd:YAG laser micro-weld process using Taguchi Method and a neural network , 2008 .
[132] Arnold Gillner Dr.-Ing.. Laser Micro Manufacturing , 2009 .
[133] S. Chokkalingham,et al. Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling , 2012, J. Intell. Manuf..
[134] S. Lee,et al. Analysis of Acoustic Emission Signals During Laser Spot Welding of SS304 Stainless Steel , 2014, Journal of Materials Engineering and Performance.
[135] Ziqin Chen,et al. Elucidation of high-power disk laser welding phenomena by simultaneously observing both top and bottom of weldment , 2017 .
[136] Dawei Zhao,et al. Weld quality monitoring research in small scale resistance spot welding by dynamic resistance and neural network , 2017 .
[137] Horst Bischof,et al. Weld seam tracking and panorama image generation for on-line quality assurance , 2012, The International Journal of Advanced Manufacturing Technology.
[138] Wei Liu,et al. Investigation on the weld bead profile transformation with the keyhole and molten pool dynamic behavior simulation in high power laser welding , 2018 .
[139] Deyong You,et al. Multiple-optics sensing of high-brightness disk laser welding process , 2013 .
[140] X. Shao,et al. Multi-objective optimization of weld geometry in hybrid fiber laser-arc butt welding using Kriging model and NSGA-II , 2016 .
[141] Yoshiaki Nagashima,et al. Fundamental study of molten pool depth measurement method using an ultrasonic phased array system , 2015 .
[142] Ziqin Chen,et al. Detection of weld pool width using infrared imaging during high-power fiber laser welding of type 304 austenitic stainless steel , 2014 .
[143] Todd Palmer,et al. Problems and issues in laser-arc hybrid welding , 2009 .
[144] Antonio Ancona,et al. A Real-Time Spectroscopic Sensor for Monitoring Laser Welding Processes , 2009, Sensors.
[145] W. M. Steen,et al. “Light” Industry: An Overview of the Impact of Lasers on Manufacturing , 2018 .
[146] Di Wu,et al. A prediction model for keyhole geometry and acoustic signatures during variable polarity plasma arc welding based on extreme learning machine , 2016 .
[147] Yang Yang,et al. Multi-objective process parameters optimization of hot-wire laser welding using ensemble of metamodels and NSGA-II , 2018, Robotics and Computer-Integrated Manufacturing.
[148] S. Katayama. Defect formation mechanisms and preventive procedures in laser welding , 2013 .
[149] M. Autric,et al. Numerical and experimental study of molten pool formation during continuous laser welding of AZ91 magnesium alloy , 2009 .
[150] G. Tapia,et al. A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing , 2014 .
[151] Yu-Kang Liu,et al. Supervised Learning of Human Welder Behaviors for Intelligent Robotic Welding , 2017, IEEE Transactions on Automation Science and Engineering.
[152] Katayama Seiji,et al. Study of Dynamic Features of Surface Plasma in High-Power Disk Laser Welding , 2012 .
[153] Holger Braun,et al. Process Sensor Systems for Laser Beam Welding , 2012 .
[154] D. Mckenzie,et al. Welding methods for joining thermoplastic polymers for the hermetic enclosure of medical devices. , 2010, Medical engineering & physics.
[155] Yang Liu,et al. Process modeling and parameter optimization using radial basis function neural network and genetic algorithm for laser welding of dissimilar materials , 2015 .
[156] Hyungson Ki,et al. Scaling law for penetration depth in laser welding , 2014 .
[157] Fujun Wang,et al. Quality assessment for resistance spot welding based on binary image of electrode displacement signal and probabilistic neural network , 2014 .
[158] Michael Schmidt,et al. Experimental approach for quantification of fluid dynamics in laser metal welding , 2015 .
[159] Zhifen Zhang,et al. Multisensory data fusion technique and its application to welding process monitoring , 2016, 2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).
[160] J. Goldak,et al. Numerical simulation of laser full penetration welding , 2009 .
[161] Xinyu Shao,et al. Optimization of Process Parameters of Hybrid Laser–Arc Welding onto 316L Using Ensemble of Metamodels , 2016, Metallurgical and Materials Transactions B.
[162] Xu Chen,et al. Full-field 3D measurement using multi-camera digital image correlation system , 2013 .
[163] Jian S. Dai,et al. Predictive seam tracking with iteratively learned feedforward compensation for high-precision robotic laser welding , 2012 .
[164] R. Heck,et al. Application of X-ray computed tomography to soil science: A literature review , 2008 .
[165] Wei Liu,et al. The prediction of the whole weld in fiber laser keyhole welding based on numerical simulation , 2017 .
[166] Deyong You,et al. Multisensor Fusion System for Monitoring High-Power Disk Laser Welding Using Support Vector Machine , 2014, IEEE Transactions on Industrial Informatics.
[167] Yi Zhang,et al. Correlation analysis of penetration based on keyhole and plasma plume in laser welding , 2018, Journal of Materials Processing Technology.
[168] Pietro Mario Lugarà,et al. Spectroscopic, energetic and metallographic investigations of the laser lap welding of AISI 304 using the response surface methodology , 2011 .
[169] Leshi Shu,et al. Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems , 2020, Structural and Multidisciplinary Optimization.
[170] J. Francis,et al. Extension of the double-ellipsoidal heat source model to narrow-groove and keyhole weld configurations , 2017 .
[171] X. Shao,et al. Dynamic characteristics and mechanisms of compressible metallic vapor plume behaviors in transient keyhole during deep penetration fiber laser welding , 2016 .
[172] Michael Schmidt,et al. Evaluation of a Pyrometric-based Temperature Measuring Process for the Laser Transmission Welding , 2012 .
[173] Xiangdong Gao,et al. Detection of micro gap weld using magneto-optical imaging during laser welding , 2014 .
[174] Zhen Luo,et al. Monitoring of laser welding using source localization and tracking processing by microphone array , 2016 .
[175] S. B. Chen,et al. Research on welding penetration state recognition based on BP-Adaboost model for pulse GTAW welding dynamic process , 2016, 2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).
[176] Antonio Ancona,et al. Plasma Plume Oscillations Monitoring during Laser Welding of Stainless Steel by Discrete Wavelet Transform Application , 2010, Sensors.
[178] Deyong You,et al. Kalman Filtering Compensated by Radial Basis Function Neural Network for Seam Tracking of Laser Welding , 2013, IEEE Transactions on Control Systems Technology.
[179] YuMing Zhang,et al. Iterative Local ANFIS-Based Human Welder Intelligence Modeling and Control in Pipe GTAW Process: A Data-Driven Approach , 2015, IEEE/ASME Transactions on Mechatronics.
[180] Markus Kogel-Hollacher,et al. Keyhole Depth is just a Distance , 2014 .
[181] YuKang Liu,et al. Control of 3D weld pool surface , 2013 .
[182] Arunanshu S. Kuar,et al. Application of grey-based Taguchi method for simultaneous optimization of multiple quality characteristics in laser transmission welding process of thermoplastics , 2011 .
[183] M. Rethmeier,et al. Spectral diagnostics of a vapor-plasma plume produced during welding with a high-power ytterbium fiber laser , 2013 .
[184] Jörg Volpp. Keyhole stability during laser welding—Part II: process pores and spatters , 2017, Prod. Eng..
[185] Deyong You,et al. Seam Tracking Monitoring Based on Adaptive Kalman Filter Embedded Elman Neural Network During High-Power Fiber Laser Welding , 2012, IEEE Transactions on Industrial Electronics.
[186] H. Tsai,et al. Modelling of hybrid laser–GMA welding: review and challenges , 2011 .
[187] Xiangdong Gao,et al. Neural network of plume and spatter for monitoring high-power disk laser welding , 2014 .
[188] Yanxi Zhang,et al. Analysis of characteristics of molten pool using cast shadow during high-power disk laser welding , 2014 .
[189] Pak Ming Hui,et al. Theory of Faraday rotation in granular magnetic materials , 1990 .
[190] Deyong You,et al. Visual-based spatter detection during high-power disk laser welding , 2014 .
[191] Xinyu Shao,et al. Parameters optimization of laser brazing in crimping butt using Taguchi and BPNN-GA , 2015 .
[192] Xiaoyan Zeng,et al. Study on microstructure and mechanical properties of 304 stainless steel joints by TIG, laser and laser-TIG hybrid welding , 2010 .
[193] Morten Kristiansen,et al. A numerical model for full and partial penetration hybrid laser welding of thick-section steels , 2019, Optics & Laser Technology.
[194] Meiko Boley,et al. Novel X-ray System for in-situ Diagnostics of Laser Based Processes - First Experimental Results , 2011 .
[195] Florian Klämpfl,et al. Detection of Weld Defects by High Speed Imaging of the Vapor Plume , 2013 .
[196] Wen Wan,et al. Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor , 2013 .
[197] A. Kaplan,et al. Spatter in laser welding , 2011 .
[198] Deyong You,et al. Infrared image recognition for seam tracking monitoring during fiber laser welding , 2012 .
[199] Surjya K. Pal,et al. Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals , 2008 .
[200] Luis Rodriguez-Cobo,et al. Defect detection with CCD-spectrometer and photodiode-based arc-welding monitoring systems , 2011 .
[201] Manfred Geiger,et al. A 3D transient model of keyhole and melt pool dynamics in laser beam welding applied to the joining of zinc coated sheets , 2009, Prod. Eng..
[202] Holger Braun,et al. NIR-camera-based online diagnostics of laser beam welding processes , 2012, LASE.
[203] Hans Engström,et al. Theoretical analysis of photodiode monitoring of laser welding defects by imaging combined with modelling , 2008 .
[204] M. Planck. Zur Theorie des Gesetzes der Energieverteilung im Normalspectrum , 1900 .
[205] D. You,et al. Multi-sensor information fusion for monitoring disk laser welding , 2016 .
[206] Deyong You,et al. Detection of micro-weld joint by magneto-optical imaging , 2014 .
[207] Kamel Fezzaa,et al. Real-time monitoring of laser powder bed fusion process using high-speed X-ray imaging and diffraction , 2017, Scientific Reports.
[208] Michael Schmidt,et al. Optical 3D position sensor for the fast tracking of light sources , 2010 .
[209] Libor Mrňa,et al. Feedback Control of Laser Welding Based on Frequency Analysis of Light Emissions and Adaptive Beam Shaping , 2012 .
[210] Jay Lee,et al. Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .
[211] Frank Vollertsen,et al. Keyhole stability during laser welding—part I: modeling and evaluation , 2016, Prod. Eng..
[212] G. Harman,et al. The Ultrasonic Welding Mechanism as Applied to Aluminum-and Gold-Wire Bonding in Microelectronics , 1977 .
[213] Stefan Kaierle,et al. Using pulse shaping to control temporal strain development and solidification cracking in pulsed laser welding of 6082 aluminum alloys , 2015 .
[214] Xiangdong Gao,et al. Monitoring of welding status by molten pool morphology during high-power disk laser welding , 2015 .
[215] Deyong You,et al. Detection of imperfection formation in disk laser welding using multiple on-line measurements , 2015 .
[216] Deyong You,et al. Data-driven based analyzing and modeling of MIMO laser welding process by integration of six advanced sensors , 2016 .
[217] Deyong You,et al. The high frequency characteristics of laser reflection and visible light during solid state disk laser welding , 2015 .
[218] Michael Schmidt,et al. Mechanisms of vapour plume formation in laser deep penetration welding , 2014 .
[219] Paul J. L. Webster,et al. Real-time depth monitoring and control of laser machining through scanning beam delivery system , 2015 .
[220] Xiaochun Li,et al. Weld penetration control system design and testing , 2001 .
[221] Duncan P. Hand,et al. Real-time focus control in laser welding , 1996 .
[222] C. Van Vlack,et al. Automatic laser welding and milling with in situ inline coherent imaging. , 2014, Optics letters.
[223] Radovan Kovacevic,et al. Detection of defects in laser welding of AZ31B magnesium alloy in zero-gap lap joint configuration by a real-time spectroscopic analysis , 2014 .
[224] Paul J. L. Webster,et al. High-quality percussion drilling of silicon with a CW fiber laser , 2010, LASE.
[225] Flemming Ove Olsen,et al. Review of laser hybrid welding , 2005 .
[226] Francesco P. Mezzapesa,et al. Closed Loop Control of Penetration Depth during CO2 Laser Lap Welding Processes , 2012, Sensors.
[227] Radovan Kovacevic,et al. A neural network and multiple regression method for the characterization of the depth of weld penetration in laser welding based on acoustic signatures , 2011, J. Intell. Manuf..
[228] N. Dupriez,et al. Advances of OCT Technology for Laser Beam Processing , 2017 .
[229] Deyong You,et al. Magneto-optical imaging deviation model of micro-gap weld joint , 2017 .
[230] Alexander Kaplan,et al. Signal overlap in the monitoring of laser welding , 2010 .
[231] Zhifen Zhang,et al. Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals , 2017, J. Intell. Manuf..
[232] Victor X D Yang,et al. Real‐time guidance of thermal and ultrashort pulsed laser ablation in hard tissue using inline coherent imaging , 2012, Lasers in surgery and medicine.
[233] Yanling Xu,et al. Arc spectral processing technique with its application to wire feed monitoring in Al–Mg alloy pulsed gas tungsten arc welding , 2013 .
[234] Holger Braun,et al. Online characterization of laser beam welds by NIR-camera observation , 2013, Photonics West - Lasers and Applications in Science and Engineering.
[235] Xiangdong Gao,et al. Analysis of high-power disk laser welding stability based on classification of plume and spatter characteristics , 2013 .
[236] Tao Lin,et al. Efficient weld seam detection for robotic welding based on local image processing , 2009, Ind. Robot.
[237] Ronald Tetzlaff,et al. Camera Based Closed Loop Control for Partial Penetration Welding of Overlap Joints , 2011 .
[238] Yu. Chivel,et al. On-line temperature monitoring in selective laser sintering/melting , 2010 .
[239] Antti Salminen,et al. Monitoring and Adaptive Control of Laser Processes , 2014 .
[240] Xiang Zhang,et al. Robust pattern recognition for measurement of three dimensional weld pool surface in GTAW , 2015, J. Intell. Manuf..
[241] Xiangdong Gao,et al. Seam tracking based on Kalman filtering of micro-gap weld using magneto-optical image , 2016 .
[242] Rudimar Riva,et al. Yb-fiber laser beam effects on the surface modification of Al–Fe aerospace alloy obtaining weld filet structures, low fine porosity and corrosion resistance , 2012 .
[243] François Hallouard,et al. Iodinated blood pool contrast media for preclinical X-ray imaging applications--a review. , 2010, Biomaterials.
[244] Margaret West,et al. 2016 Atomic Spectrometry Update – a review of advances in X-ray fluorescence spectrometry and its applications , 2015 .
[245] E. Anawa,et al. Using Taguchi method to optimize welding pool of dissimilar laser-welded components , 2008 .
[246] J. Hofman,et al. A camera based feedback control strategy for the laser cladding process , 2012 .
[247] Y. Shin,et al. Vision-based weld pool boundary extraction and width measurement during keyhole fiber laser welding , 2015 .
[248] S. Katayama,et al. Porosity formation mechanism and its prevention in laser lap welding for T-joints , 2014 .
[249] Genyu Chen,et al. Measurements of laser-induced plasma temperature field in deep penetration laser welding , 2013 .
[250] Arnold Gillner. Laser Micro Manufacturing , 2009 .
[251] Yanxi Zhang,et al. Weld appearance prediction with BP neural network improved by genetic algorithm during disk laser welding , 2015 .
[252] Wei Zhang,et al. Real-time estimation of weld penetration using weld pool surface based calibration , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.
[253] Jiyong Zhong,et al. Real-time control of welding penetration during robotic GTAW dynamical process by audio sensing of arc length , 2014 .
[254] J. Fraser. Laser process monitoring and automatic control at kHz rates through inline coherent imaging , 2012 .
[255] Bappa Acherjee,et al. Application of artificial neural network for predicting weld quality in laser transmission welding of thermoplastics , 2011, Appl. Soft Comput..
[256] Xiangdong Gao,et al. Magneto-optical imaging characteristics of weld defects under alternating magnetic field excitation , 2017, 2017 IEEE International Conference on Imaging Systems and Techniques (IST).
[257] P. Jiang,et al. Investigation of the humping formation in the high power and high speed laser welding , 2018, Optics and Lasers in Engineering.
[258] Jinqiang Gao,et al. Vision-based observation of keyhole geometry in plasma arc welding , 2013 .
[259] Yi Luo,et al. Study on the acoustic emission effect of plasma plume in pulsed laser welding , 2019, Mechanical Systems and Signal Processing.
[260] Shanben Chen,et al. Visual sensing and penetration control in aluminum alloy pulsed GTA welding , 2009 .
[261] Seiji Katayama,et al. Elucidation of laser welding phenomena and factors affecting weld penetration and welding defects , 2010 .
[262] Weijie Zhang,et al. Dynamic Neuro-Fuzzy-Based Human Intelligence Modeling and Control in GTAW , 2015, IEEE Transactions on Automation Science and Engineering.
[263] Radovan Kovacevic,et al. Feasibility study of using acoustic signals for online monitoring of the depth of weld in the laser welding of high-strength steels , 2009 .
[264] J. Frostevarg. Factors affecting weld root morphology in laser keyhole welding , 2018 .
[265] T. DebRoy,et al. Continuous wave-Nd: yttrium–aluminum–garnet laser welding of AM60B magnesium alloy , 2000 .
[266] Guokai Zhang,et al. Single vision system for simultaneous observation of keyhole and weld pool in plasma arc welding , 2015 .
[267] E. I. Todorov,et al. Inspection of laser welds with array eddy current technique , 2013 .
[268] Kaibo Zhou,et al. Real-time monitoring of laser welding based on multiple sensors , 2008, 2008 Chinese Control and Decision Conference.
[269] Duradundi Sawant Badkar,et al. Parameter optimization of laser transformation hardening by using Taguchi method and utility concept , 2011 .