Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Publication
    Online Fault-monitoring in Machine Tools Based on Energy Consumption Analysis and Non-invasive Data Acquisition for Improved Resource-efficiency
    ( 2016)
    Emec, S.
    ;
    Krüger, J.
    ;
    Seliger, G.
    Improving the overall equipment effectiveness of machine tools will improve resource-efficiency and productivity in manufacturing. First step to achieve more effectiveness would require sensors for monitoring of machine availability and quality of machining processes. Abnormal machine conditions are characterized by fault-pattern, which can indicate failure and quality losses. Further, machine failure can shorten the remaining useful life of the components and affect the products. Therefore, it is essential to determine a valuable data source which will enable the extraction of fault-pattern and the allocation of these pattern to machining processes. However, this can be challenging due to lack of open source control architecture, different machine types and automation degree, changing operating loads, and dynamic failure rates in a real environment. Retrofit for online analysis of electrical power intake of machine tools seems to satisfy this challenge. A fault-monitoring framework for manufacturing equipment has been proposed in this paper, based on data stream mining techniques for online pattern matching in electrical power data streams. Complex event processing is applied to ensure scalable data processing for large data volumes and automate the reporting in order to assign the fault-patterns to machining processes and products. This concept is introduced as energy-based maintenance and validated for a powertrain machining line in milling and drilling machines.
  • Publication
    Motion Tracking Applied in Assembly for Worker Training in different Locations
    ( 2016)
    Müller, B.C.
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    Nguyen, T.D.
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    Dang, Q.-V.
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    Duc, B.M.
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    Seliger, G.
    ;
    Krüger, J.
    ;
    Kohl, H.
    In cooperation between a German and a Vietnamese manufacturing laboratory, activities of training for assembly are performed by support of motion tracking at similar workplaces. The assembly of bicycle e-hubs is trained with Vietnamese students to check the transfer of assembly process knowledge between distant countries. The experimental set-up consists of the remote ""teach-in"" of assembly instructions, motion tracking on workplaces and the evaluation of student's performance. The applicability of motion tracking vs. traditional paper based instructions for initial learning is investigated.
  • Publication
    Adaptive Qualification and Assistance Modules for Manual Assembly Workplaces
    ( 2015)
    Nguyen, T.D.
    ;
    McFarland, R.
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    Kleinsorge, M.
    ;
    Krüger, J.
    ;
    Seliger, G.
    Enterprises must be able to make decisions for increasing process effectiveness and efficiency in view of shrinking natural resources. A globalised work force has to be made aware of the challenges in resource scarcity and material wealth. Special attention has also to be paid on health and safety at work due to recent demographic developments. We present two solutions based on human motion capture technology which can improve efficiency while enabling ergonomic working, thus addressing challenges in sustainable manufacturing. With a qualification module, intuitive work descriptions can be generated and distributed. An assistance module automatically adjusts the workplace to enable working in a comfortable pose. First tests regarding our qualification module show the ability to implicitly convey knowledge during simple working tasks. Studies on the assistance module show its capabilities to predict what test subjects working at the workplace would consider as configuration for ""comfortable"" and ""ergonomic"" working.