2018 8th International Electric Drives Production Conference (EDPC) 2018
DOI: 10.1109/edpc.2018.8658346
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Evaluation of Machine Learning for Quality Monitoring of Laser Welding Using the Example of the Contacting of Hairpin Windings

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Cited by 46 publications
(27 citation statements)
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“…high number of contacts per time unit, and the automation of the process is easily obtainable [16]. With the advent of machine learning, laser welding performance is improved as the contacting surfaces between two terminals are opportunely controlled to perform the best welding [41]. "Wobble beam" represents a particular laser appliance used to reduce damage in the contacting frame.…”
Section: B Contacting Techniquesmentioning
confidence: 99%
“…high number of contacts per time unit, and the automation of the process is easily obtainable [16]. With the advent of machine learning, laser welding performance is improved as the contacting surfaces between two terminals are opportunely controlled to perform the best welding [41]. "Wobble beam" represents a particular laser appliance used to reduce damage in the contacting frame.…”
Section: B Contacting Techniquesmentioning
confidence: 99%
“…In the future, these applications will be incorporated into a quality monitoring system, which may also contain data from the upstream process. In particular, the burrs formed during the cutting process and residues resulting from peeling considerably influence the welding results [15].…”
Section: Contact Technologymentioning
confidence: 99%
“…According to the mechanical stress and thermal distribution under different running conditions, an assessment of the machine reliability has been provided in [8]. And in [9], a method of quality monitoring of laser welding in the hairpin windings machine has been introduced.…”
Section: A Craft Processmentioning
confidence: 99%