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      Quality assurance of laser and ultrasonic welds (QWELD)

      Research Group Virtual Manufacturing Processes
      Resarch Environment Virtual Engineering

      Quality assurance of laser and ultrasonic welds (QWELD)

      Research Group Virtual Manufacturing Processes
      Resarch Environment Virtual Engineering

      Quick Facts

      Full project name

      Quality assurance of laser and ultrasonic welds (QWELD)

      Duration

      November 2021 – November 2024

      Funding and collaboration

      Production 2030, Volvo GTO, RISE, Aurobay, Furhoffs, Koenigsegg, CEJN

      The manufacturing industry worldwide has great demands on itself to create sustainable products and reduce its environmental impact, demands that force the industry to move its production from traditional methods to new efficient processes. For six years, the QWELD project will develop methods for quality assurance and optimization of laser and ultrasonically welded components.

      Today, there are several different types of welding methods in the manufacturing industry. In the QWELD project, laser and ultrasonic welding are the focus. Techniques that are on the rise and that will be able to replace traditional welding. Laser and ultrasonic welding have greater safety and precision, they are also faster and use only a fraction of the energy required in traditional welding. Today, these welding methods are used, among other things, in the production of electric drivelines.

      With the support of virtual technologies

      The project will work with the latest virtual technologies to achieve the project goal. For example, QWELD will:

      • develop a multisensor-based system that will monitor welding quality in order to reduce manufacturing time. The system will be monitored in real time using machine learning.
      • develop digital twins of welding processes. By creating digital twins of processes, production can be optimized and costly physical stops can be avoided. The digital twins will be combined with the latest machine learning techniques to investigate how different parameters affect the weld. The aim is to reduce waste and create resource-efficient production.

      Conversion to digital tools for increased competitiveness

      The project will help the industry gain an increased understanding of the mechanisms behind welding and how manufacturing companies, by taking advantage of virtual technologies and machine learning, can influence the quality of laser and ultrasonically welded components. Knowledge that contributes to the digital transition, and a continued competitive industry.

      Funded by Produktion2030

      The project is funded by the innovation program Produktion2030, a joint venture by Vinnova, Formas and the Swedish Energy Agency.

      The goal of the program Produktion2030 is to increase the Swedish manufacturing industry's global competitiveness by building a sustainable and resilient manufacturing industry. With the Swedish national sustainability goal of becoming fossil-free by 2045, it is natural and crucial for universities, research institutes and companies to build interdisciplinary research groups to develop new and sustainable manufacturing techniques, for example for electric vehicles.

      Project Leader

      Professor of Mechanical Engineering

      Participating Researchers

      Published: 2/8/2022
      Edited: 2/8/2022
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