LEADER 03717nam 22006375 450 001 9910483951203321 005 20200714110414.0 010 $a981-15-6491-4 024 7 $a10.1007/978-981-15-6491-8 035 $a(CKB)4100000011343453 035 $a(MiAaPQ)EBC6272320 035 $a(DE-He213)978-981-15-6491-8 035 $a(PPN)258088826 035 $a(EXLCZ)994100000011343453 100 $a20200714d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKey Technologies of Intelligentized Welding Manufacturing $eVisual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process /$fby Zongyao Chen, Zhili Feng, Jian Chen 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (103 pages) $cillustrations 311 $a981-15-6490-6 327 $aIntroduction -- Monitoring of Weld Pool Surface with Active Vision -- Visual Sensing of 3D Weld Pool Geometry with Passive Vision -- Penetration prediction with data driven models -- Penetration Control for Bead-on plate weld -- Penetration Detection and Control Inside U-groove -- Lack of fusion detection inside narrow U-groove -- Measuring Material Deformation using Digital Image Correlation -- Conclusions. 330 $aThis book describes the application of vision-sensing technologies in welding processes, one of the key technologies in intelligent welding manufacturing. Gas tungsten arc welding (GTAW) is one of the main welding techniques and has a wide range of applications in the manufacturing industry. As such, the book also explores the application of AI technologies, such as vision sensing and machine learning, in GTAW process sensing and feature extraction and monitoring, and presents the state-of-the-art in computer vision, image processing and machine learning to detect welding defects using non-destructive methods in order to improve welding productivity. Featuring the latest research from ORNL (Oak Ridge National Laboratory) using digital image correlation technology, this book will appeal to researchers, scientists and engineers in the field of advanced manufacturing. 606 $aRobotics 606 $aAutomation 606 $aMachine learning 606 $aManufactures 606 $aControl engineering 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 615 0$aRobotics. 615 0$aAutomation. 615 0$aMachine learning. 615 0$aManufactures. 615 0$aControl engineering. 615 14$aRobotics and Automation. 615 24$aMachine Learning. 615 24$aManufacturing, Machines, Tools, Processes. 615 24$aControl and Systems Theory. 676 $a973.933092 700 $aChen$b Zongyao$4aut$4http://id.loc.gov/vocabulary/relators/aut$01228609 702 $aFeng$b Zhili$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b Jian$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483951203321 996 $aKey Technologies of Intelligentized Welding Manufacturing$92852325 997 $aUNINA