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Laser welding – an interdisciplinaryresearch subject
Alexander Kaplan
Head of Division and professor at theDivision of Manufacturing Systems
Engineering (Produktionsutveckling)Department TFM / LTU
Division of ManufacturingSystems Engineering
Teaching:Production Engineering
Research:Laser processing
Production-planning,
LEAN
Automati-sation
Manufacturing
Laserprocessing
Laser welding
Cuttingµ-processingSurf. treatm.
Others
Area LUPO Production/Organisation Area Materials Science
Research disciplinesaddressed by laser processing
Implementation: People, Psychology
Factory layout, Logistics
Laser systems, Sensors, Automation
Laser process: Thermodynamics, Fluid flowQuantum physics, OpticsMaterials science
Product properties: Material, Mechanics
LASERLaser Lab:1 Yb:Fiberlaser: 15 kW cw3 Nd:YAG laser: 3 kW cw, 250 W pw, 200 W Q-pw, FHG2 CO2 laser: 6 kW cw, 80 W pw (TEA, 4 J)1 Excimer laser: 308 nm
CyberLab (web-conference access):
Disc laser: 4 kW – at Oulu U (FIN)2 Nd:YAG laser: ESAB and Twente Udiv. Fiberlaser: D, FIN, UK, S, etc.
Our Ancillary Laser Equipment
Gantry and industrial robots, xy-stagesGalvanometer optics, fibre optics
MAG welding set (hybrid welding)Powder deliveryHigh speed imaging + illumination laserThermocamera (avd. experim. mekanik)Seam trackingBeam analyser Reflectance measuring (Mid Sweden U)etc.
Laser Materials ProcessingLaser -
- welding- surface treatment- micromachining- cutting- rapid prototyping
Current Welding Projects
DATLAS – observing weld quality defectsHYBRIGHT – hybrid weld propertiesLOST – UHSS lightweight constructionNORHYB – Nordic hybrid welding networkFiberTube – Fiber laser welding, cuttingFiller wire impact on hybrid welding (ESAB)High Tech decision making in SwedenCyberLab – Lab experiments by videoconferencing (EU)
FiberTube
Laser welding projects
Productdevelopment
Material
Joint type
Process
Production,System
Processmonitoring
Mechanicalproperties
HYBRIGHT DATLAS
LOST/KOST
ESAB-PhDLaserNova-PhDMS U-PhD
EU CyberLab
EU ISSEAEU LaserTool
NFR
Ind.contracts 35 companies12 academics6 LTU-divisions
Quality monitoring sensors
Correlations:• Photodiode signal• Melt pool/vapour imaging• Welding defects
Signal: thermal emissions(melt surface, vapour flow)
Research example:Welding defectSensor signal detectionWeld evaluationMelt pool imagingImaging evaluationEmission modellingSensor analysis
Theory
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