Finding Optimum Focal Point Position with Neural Networks in CO2 Laser Welding

Hui Gong, Flemming Ove Olsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    CO2 lasers are increasingly being utilized for quality welding in production. Considering the high equipment cost, the start-up time and set-up time should be minimized. Ideally the parameters should be set up and optimized more or less automatically. In this article neural networks are designed to optimize the focal point position, one of the most critical parameters in laser welding. The feasibility to automatically optimize the focal point position is analyzed. Preliminary tests demonstrate that neural networks can be used to optimize the focal point position with good accuracy in CW CO2 laser welding.
    Original languageEnglish
    Title of host publicationEUFIT'97 - 5th European Congress on Intelligent Techniques and Soft Computing
    Place of PublicationAachen
    PublisherVerlag Mainz, Wissenschaftsverlag
    Publication date1997
    Pages414-417
    Publication statusPublished - 1997
    Event5th European Congress on Intelligent Techniques and Soft Computing - Aachen, Germany
    Duration: 1 Jan 1997 → …

    Conference

    Conference5th European Congress on Intelligent Techniques and Soft Computing
    CityAachen, Germany
    Period01/01/1997 → …

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