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    Item type:Publication, Access status: without files ,
    Robot-based inspection of freeform components : process analysis and challenges in using a lateral scanning WLI
    (Springer, 2024)
    Ehrbar, Jessica
    ;
    Schoepflin, Daniel
    ;
    Schüppstuhl, Thorsten
    Vertical scanning white light interferometry is nowadays successfully used for automated inspection of combustion chambers in aircraft engines. Although they provide high-accuracy data, white light interferometers have the disadvantage of being comparatively slow sensors due to their small field of view and vibrational sensitivity. Using a lateral scanning white light interferometer instead of a vertical scanning one offers a reduction in inspection times by scanning larger areas at once. At the same time using the lateral scanning setup creates new challenges for the inspection process. In this paper, considering a fan blade of an aircraft engine as an example, a possible inspection setup is shown for reference and the challenges regarding the inspection process are investigated. Existing solutions for similar problems are analysed for their applicability. The biggest remaining challenge is seen in the path planning for the inspection, since generating a minimal number of viewpoints is critical for efficiently using a lateral scanning white light interferometer.
    Publicationtype: Conference Paper
      87
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    Towards model-based assembly system configuration supported by SysML and AutomationML
    (Springer, 2023-08-24)
    Rath, Jan-Erik
    ;
    Koch, Julian
    ;
    Schüppstuhl, Thorsten
    The demands of product individualization and reduced development times are an increasing challenge for current product and production system engineering, as customization processes are still a mostly manual task involving different software tools and paperwork. Due to their manual nature, they are error-prone, leading to long lead times and costly rework. Thus, efficient co-customization of products and their production systems must be enabled by common data models and continuously linked software tools. Complex mechatronic products such as aircraft cabins are more and more likely to be developed via a model-based systems engineering (MBSE) approach using Systems Modeling Language (SysML). In assembly system design, model-based development often relies on AutomationML, a modeling and data exchange format for plant engineering information. To combine these concepts, an approach for assembly system configuration based on a SysML-representation of the product and an AutomationML-represantation of the plant is proposed. After the customer configures a unique product version, the corresponding SysML model will be analyzed by the outlined configuration algorithm to determine necessary changes to the assembly system. Based upon an AutomationML library with digital representations of the available assembly system components and their behavior, these logical and parametric changes will be implemented in the instantiated assembly system model. Using AutomationML, configuration can not only take place on the top-level logical model, but also on specific robot or PLC programs. These can be then used for simulations generating information about assemblability and assembly times, allowing improved design decisions once fed back to the product engineers.
    Publicationtype: Conference Paper
      109
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    Analyzing the effects of different 3D-model acquisition methods for synthetic AI training data generation and the domain gap
    (Springer, 2024)
    Albayrak, Özge Beyza
    ;
    Schoepflin, Daniel
    ;
    Holst, Dirk
    ;
    Möller, Lars
    ;
    Schüppstuhl, Thorsten
    Synthetic data generation to enable industrial visual AI applications is a promising alternative to manual data acquisition. Such methods rely on the availability of 3D models to generate virtual worlds and derive or render 2D image data. Since CAD models can be created on different detail levels but require extensive effort, questions arise about which affect different detail levels of 3D models have on synthetic data generation. The effect of different CAD model details is investigated and compared to different 3D scanning and photogrammetry approaches. Different synthetic datasets are created for each 3D model acquisition type and a test-benchmark set is used to evaluate the performance of each dataset. Based on the results, the suitability of each acquisition method is derived and the effects of bridging the domain gap from the synthetic training domain to the real-world application domain are discussed. The findings indicate that 3D scans are as feasible for synthetic data generation as feature-rich high-level CAD data. Feature poor CAD data as they might originate from manufacturing data performs significantly worse.
    Publicationtype: Conference Paper
      79
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    Leakage Inspection for the Scale-Up of Hydrogen Electrolyzers: A Case Study and Comparative Analysis of Technologies
    (2023-06)
    Masuhr, Christian
    ;
    Büsch, Lukas
    ;
    Schüppstuhl, Thorsten
    Since hydrogen is odorless, invisible and highly flammable, regular checks must be carried out to ensure the safe operation of large-scale H2-electrolyzer systems. Leakage tests are conducted during the assembly, the commissioning and the operation of the plant. Since many leakage tests have to be executed, efficient processes are required to reduce production and downtimes to enable a fast scale-up of electrolysis capacities. Therefore, Methods for leakage inspection are compared and technological implementations are discussed. This work contributes to the necessary analysis of requirements to derive research demands and solution concepts for large-scale electrolysis plants.
    Publicationtype: Conference Paper
      369