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Procedia CIRP, v.72, 2018년, pp.1542 - 1547
Stavridis, John (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras) , Papacharalampopoulos, Alexios (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras) , Stavropoulos, Panagiotis (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras)
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Abstract Quality assessment in laser welding is of outmost importance. A plethora of in-line inspection techniques have been developed identifying melt pool geometry and weld defects for quality evaluation. This paper aims to introduce a cognitive assessment method for the prediction of weld qualit...
Chryssolouris 2013 Manufacturing systems: theory and practice
The International Journal of Advanced Manufacturing Technology Tsoukantas 32 9-10 932 2007 10.1007/s00170-005-0400-7 On optical design limitations of generalized two-mirror remote beam delivery laser systems: the case of remote welding.
Journal of Optoelectronics and Advanced Materials Iordachescu 13 7 981 2011 Recent achievements and trends in laser welding of thin plates.
Chryssolouris 2013 Laser machining: theory and practice
Laser Technik Journal Kaierle 5 3 41 2008 10.1002/latj.200890024 Process monitoring and control of laser beam welding.
The International Journal of Advanced Manufacturing Technology Stavridis 1 2017 Quality assessment in laser welding: a critical review
10.1117/12.2040275 Thombansen, U., & Ungersb, M. (2014, February). Cognition for robot scanner based remote welding. In Proc. of SPIE Vol(Vol. 8963, pp. 89630N-1).
Mechatronics Günther 34 1 2016 10.1016/j.mechatronics.2015.09.004 Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning.
10.1109/IROS.2009.5354449 Schroth, G., genannt Wersborg, I. S., & Diepold, K. (2009). A cognitive system for autonomous robotic welding. In Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on (pp. 3148-3153). IEEE.
Journal of Materials Processing Technology Jeng 99 1 207 2000 10.1016/S0924-0136(99)00424-0 Prediction of laser butt joint welding parameters using back propagation and learning vector quantization networks.
The International Journal of Advanced Manufacturing Technology Luo 81 1-4 263 2015 10.1007/s00170-015-7079-1 Estimation of keyhole geometry and prediction of welding defects during laser welding based on a vision system and a radial basis function neural network.
10.2351/1.5059780 Beersiek, J. (2001). A CMOS camera as a tool for process analysis not only for laser beam welding ICALEO 2001.
Science and Technology of Welding and Joining Sheikhi 19 3 250 2014 10.1179/1362171813Y.0000000190 Solidification crack initiation and propagation in pulsed laser welding of wrought heat treatable aluminium alloy.
Lienhard, J. H. (2013). A heat transfer textbook. Courier Corporation.
Truex, M. (2010). Numerical simulation of liquid-solid, solid-liquid phase change using finite element method in h, p, k framework with space-time variationally consistent integral forms (Doctoral dissertation, University of Kansas).
Ghodsi, A. (2006). Dimensionality reduction a short tutorial. Department of Statistics and Actuarial Science, Univ. of Waterloo, Ontario, Canada, 37, 38.
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Web link: https://www.mathworks.com/help/dsp/ref/fdesign.notch.html?requestedDomain=www.mathworks.com
Shalev-Shwartz 2014 Understanding machine learning: From theory to algorithms
Zenodo MAShES community: https://zenodo.org/communities/mashes/?page=1&size=20
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