School of Mechanical Engineering and Safety Engineering

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    A case study on the haptic understanding in the teaching of Geometrical Product Specifications (GPS)
    (University of Wuppertal, 2024) Sersch, Alina ; Steger, Tobias ; Sauder, Christian ; Gust, Peter
    This case study examines haptic understanding in the teaching of Geometrical Product Specifications (GPS). As part of a lecture in the field of GPS, mechanical engineering students were given a group task involving the standard-compliant creation of a technical drawing. During their work, they were divided into three groups and subjected to a short knowledge test. Depending on their group assignment, they were given the following tools, partly from a hybrid learning kit: technical drawings, technical drawings and 3D CAD model, technical drawings and a haptic model. Finally, the tools were evaluated.
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    A survey on the teaching of Geometrical Product Specifications (GPS) in mechanical engineering studies at universities in Germany
    (University of Wuppertal, 2024) Sersch, Alina ; Sauder, Christian ; Steger, Tobias ; Gust, Peter
    This study examines the teaching of the GPS system in higher education. The focus is on determining the scope, teaching methods, experiences and potential in bachelor’s degree courses in mechanical engineering in Germany. In total, lecturers from 85 of the 115 selected universities took part in the survey, which was conducted between May and September 2023.
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    Teaching Example 1: Curves of constant width (Reuleaux polygons)
    (University of Wuppertal, 2024-05-03) Alina Sersch ; Christian Sauder ; Tobias Steger
    This dataset contains teaching examples with regard to curves of constant width to show form deviations and the problem of linear sizes.
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    Teaching Example 2: Envelope requirement
    (University of Wuppertal, 2024-07-31) Alina Sersch ; Christian Sauder ; Tobias Steger
    This dataset contains teaching examples with regard to the envelope requirement.
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    The Concept of Failure-Cause-Searching and Solution-Finding Algorithm (FusLa)
    (University of Wuppertal, 2021-12-01) Ansari, A. ; Schlüter, N. ; Heinrichsmeyer, M.
    The solution proposed in this fundamental research is a Failure-Cause-Searching and Solution-Finding Algorithm (FusLa), which should enable the identification and elimination of failure causes in the production system based on complaint information from the use phase of a product system. To realize this, a four-phase algorithm was designed. In the first phase, automated information probing is performed, which filters out the relevant information from the complaints and prepares it for further processing. In the second phase, the FusLa then automatically determines a priority value for each complaint based on the probed information. Based on the prioritization, the algorithm is able to localize potential causes for the identified failures in the third phase. Based on the localized failure causes, the algorithm then derives suitable measures.