01117nam--2200373---450-99000151754020331620040708083946.00-521-47892-8000151754USA01000151754(ALEPH)000151754USA0100015175420040319d1995----km-y0enga50------baengUSy|||z|||001yyExperiments in plant tissue cultureJohn H. Dodds and Lorin W. Roberts3. edCambridgeCambridge University press1995XIV, 256 p., 1 ritr.23 cm.BotanicaEsperimenti581.0724DODDS,John H.63424ROBERTS,Lorin W.74850ITsalbcISBD990001517540203316581.0724 EXP A3830 Farm.581.072400140049BKFARMARIA1020040319USA011019PATRY9020040406USA011745RENATO9020040708USA010839Experiments in plant tissue culture935277UNISA03398nam 22006375 450 991048395120332120251113194423.0981-15-6491-410.1007/978-981-15-6491-8(CKB)4100000011343453(MiAaPQ)EBC6272320(DE-He213)978-981-15-6491-8(PPN)258088826(EXLCZ)99410000001134345320200714d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierKey Technologies of Intelligentized Welding Manufacturing Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process /by Zongyao Chen, Zhili Feng, Jian Chen1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (103 pages) illustrations981-15-6490-6 Introduction -- 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.This 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.Automatic controlRoboticsAutomationMachine learningManufacturesControl, Robotics, AutomationMachine LearningMachines, Tools, ProcessesControl and Systems TheoryAutomatic control.Robotics.Automation.Machine learning.Manufactures.Control, Robotics, Automation.Machine Learning.Machines, Tools, Processes.Control and Systems Theory.973.933092Chen Zongyaoauthttp://id.loc.gov/vocabulary/relators/aut1228609Feng Zhiliauthttp://id.loc.gov/vocabulary/relators/autChen Jianauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910483951203321Key Technologies of Intelligentized Welding Manufacturing2852325UNINA