• 1764 Citations
  • 19 h-Index
20072020

Research output per year

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Research Output

Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production

Thiede, S., Turetskyy, A., Loellhoeffel, T., Kwade, A., Kara, S. & Herrmann, C., 20 May 2020, In : CIRP Annals.

Research output: Contribution to journalArticleAcademicpeer-review

  • 1 Downloads (Pure)

    Integrating virtual and physical production processes in learning factories

    Büth, L., Juraschek, M., Sangwan, K. S., Herrmann, C. & Thiede, S., 29 Apr 2020, In : Procedia manufacturing. 45, p. 121-127 7 p.

    Research output: Contribution to journalConference articleAcademicpeer-review

    Open Access
    File
  • 2 Downloads (Pure)

    Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteries

    Schmidt, O., Thomitzek, M., Roeder, F., Thiede, S., Herrmann, C. & Krewer, U., 18 Mar 2020, In : Journal of the Electrochemical Society. 167, 6

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
    1 Downloads (Pure)

    A Mixed Reality application for studying the improvement of HVAC systems in learning factories

    Czarski, M., Ng, Y. T., Vogt, M., Juraschek, M., Thiede, B., Tan, P. S., Thiede, S. & Herrmann, C., 2020, In : Procedia manufacturing. 45, p. 373-378 6 p.

    Research output: Contribution to journalConference articleAcademicpeer-review

    Open Access
    File
  • 10 Downloads (Pure)

    Energetische Analyse von biokunststoffverarbeitenden Produktionsprozessen--Beispiel Spritzgießverfahren

    Schulze, C., Thiede, S. & Herrmann, C., 2020, Biokunststoffe unter dem Blickwinkel der Nachhaltigkeit und Kommunikation. Springer Vieweg, Wiesbaden, p. 55-68 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review