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      University of Skövde, link to startpage

      Tobias Andersson

      Senior Lecturer in Mechanical Engineering
      School of Engineering Science
      Room PA110B

      Research

      2024

      Andreas Andersson Lassila, Daniel Svensson, Wei Wang, Tobias Andersson

      Scientific Reports

      2024. Article. https://doi.org/10.1038/s41598-024-51883-1 Open Access

      Tobias Andersson, Daniel Svensson, Andreas Andersson Lassila

      The International Journal of Advanced Manufacturing Technology

      2024. Article. https://doi.org/10.1007/s00170-024-13224-4 Open Access

      2023

      Tobias Andersson, Daniel Svensson, Andreas Andersson Lassila, Francisco Javier Trujillo Vilches, Carolina Bermudo Gamboa

      Key Engineering Materials

      2023. Article. https://doi.org/10.4028/p-u1wzfu

      2022

      Daniel Svensson, Tobias Andersson, Andreas Andersson Lassila

      The International Journal of Advanced Manufacturing Technology

      2022. Article. https://doi.org/10.1007/s00170-022-09275-0 Open Access

      2021

      Carolina Bermudo Gamboa, Tobias J. Andersson, Daniel Svensson, Francisco Javier Trujillo Vilches, Sergio Martín-Béjar, Lorenzo Sevilla Hurtado

      Scientific Reports

      2021. Article. https://doi.org/10.1038/s41598-021-98041-5 Open Access

      F. J. Trujillo, C. Bermudo, S. Martín-Béjar, Daniel Svensson, Tobias J. Andersson, L. Sevilla

      24th Innovative Manufacturing Engineering and Energy International Conference (IManEE 2020) 14th-15th December 2020, Athens, Greece

      2021. Conference paper. https://doi.org/10.1088/1757-899X/1037/1/012011 Open Access

      2020

      Kaveh Amouzgar, Sunith Bandaru, Tobias Andersson, Amos H. C. Ng

      Engineering optimization (Print)

      2020. Article. https://doi.org/10.1080/0305215X.2019.1639050 Open Access

      2018

      Kaveh Amouzgar, Sunith Bandaru, Tobias J. Andersson, Amos H. C. Ng

      The International Journal of Advanced Manufacturing Technology

      2018. Article. https://doi.org/10.1007/s00170-018-2360-8 Open Access

      2010

      Kent E. Salomonsson, Tobias J. Andersson

      Proceedings of the MECOM DEL BICENTENARIO, IX Argentinian Congress on Computational Mechanics

      2010. Conference paper.

      Ulf Stigh, Svante K. Alfredsson, Tobias Andersson, Anders Biel, Thomas Carlberger, Kent Salomonsson

      International Journal of Fracture

      2010. Article. https://doi.org/10.1007/s10704-010-9458-9

      Ongoing projects

      Virtual Factories of the Future

      Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.

      October 2018 - September 2026 Virtual Engineering

      LaserBATMAN

      The project will study and optimize joining processes for different stages of battery manufacturing, from battery cells to battery packs.

      May 2022 - May 2025 Virtual Engineering

      Quality assurance of laser and ultrasonic welds (QWELD)

      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.

      November 2021 - May 2025 Virtual Engineering

      Finished projects

      Energy Storage & Power Electronics

      The automotive industry is in the middle of a technology shift towards electric powertrains. The change in technology requires building up the knowledge base of the entire value chain within the industry. In the long term, the goal is to establish long-term production of electric drivelines in the region with many years of secured employment in the automotive industry and its supply chain.

      June 2021 - October 2023 Virtual Engineering

      Co-simulations for modelling of machining applications

      Virtual models continue to develop in the area of machining. The finite element method (FEM) is the dominating method for performing simulation of the cutting process. Much research is conducted to obtain reliable models that can be used to model complex cutting processes in industrial applications.

      April 2017 - March 2020 Virtual Engineering
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se