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    Item type:Publication, Access status: with files ,
    Microelectronic modular system for sensor-integrating machine elements—model-based configuration and prototypical implementation of sensor-integrating bolts
    In the Priority Program 2305 of the German Research Foundation, so-called Sensor-integrating Machine Elements (SiME) are to be developed. These are essentially highly standardised components with integrated microelectronics. This article presents the development of a model-based construction kit to support the design of integrated sensor systems for these new machine elements. A methodical procedure for collecting the development data required for modelling the construction kit is presented. Use cases, system architecture and module diagrams were developed and modeled for the machine element bolt. These are then linked in SysML models to enable sensor systems to be configured in line with requirements. An exemplary prototype of a sensor-integrating bolt has been developed an validated in a test environment. The modeling of modular system architectures deepens the understanding of the underlying mechatronic system and allows for application-specific configuration of sensor systems by taking differentiation features into account while exploiting synergy potentials between SiME. This configuration represents an approach to making sensor-integrating machine elements accessible to a broad range of users with different requirements.
    Publicationtype: Journal Article
      71  14
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    Item type:Publication, Access status: with files ,
    Development of a model-based modular building kit for sensor-integrating machine elements—Theory and application
    In the Priority Program 2305 of the German Research Foundation, so-called Sensor-integrating Machine Elements (SiME) are to be developed. These are essentially highly standardized components with integrated microelectronics. The present article presents the development of a model-based construction kit to support the design of integrated sensor systems for these new machine elements. A methodical procedure for collecting the development data required for modeling the modular building kit for SiME is presented and applied to four different cases within the project. Use cases, product structure and module diagrams were recorded and modeled for the machine elements screw, gear, coupling and feather key. These are then linked in SysML models to enable sensor systems for SiME to be configured in line with requirements. The modeling of the system architectures deepens the understanding of the underlying mechatronic system architecture and supports the identification of differentiation features as well as synergy potentials.
    Publicationtype: Journal Article
      53  35
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    Item type:Publication,
    Identification of parameter sets for the selection of microelectronic components for sensor-integrating machine elements
    The potentials opening up by cyber-physical systems in the form of sensor-integrating machine elements (SiMEs) allowing for in situ measurements result in more complex systems with a multitude of different microelectronic components, nevertheless providing the database usable for digitalization of in situ processes as well as allowing the Internet of Things implementation for processes. Increasing system complexity again results in a more complex system design and configuration process, taking into account the properties of each subsystem. Obtaining a framework for selecting the individual components for creating a SiME therefore is crucial for simplifying the design process. Thereby, this article presents a first step toward such a framework, by identifying parameter sets which can be used for selecting the microelectronic components to be used in the machine element in design, where the parameters are seen as characteristics of the individual components, limiting the number of usable components and therefore allowing the design and configuration process. The method used in this article is based on use case-specific as well as general parameter analysis, which is designed to be applied to a multitude of use cases for different machine elements (MEs). Being applied to the use case of a fastening bolt, two parameter sets, first for creating a component database and second selecting components to be used, are derived, demonstrating the applicability of the suggested methods. Finally, the parameter sets are validated by an exemplary component selection process, highlighting the potential of the concept as well as showing room for further research.
    Publicationtype: Journal Article
      38
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    Item type:Publication, Access status: with files ,
    A review on sensor‐integrating machine elements
    (Wiley, 2024-01-28) ; ; ;
    Menning, Johannes D. M.
    ;
    This contribution summarizes the current state of research regarding so‐called sensor‐integrating machine elements as an enabler of digitalization in mechanical engineering and——if available—their application in industry. The focus is on the methodical aspects of the development of these machine elements in general as well as specific sensor‐integrating machine elements that are either already in use or currently under development. Developmental aspects include the robust design of initially evaluated concepts for sensor‐integrating machine elements as well as their modularization. Smart materials with sensory functions are included in the analysis as well as the differentiation with regard to add‐on sensors. The aim of the authors interlinked by a special research program funded by the German Research Foundation (DFG) is to facilitate the exchange with other researchers with the help of the comprehensive overview given in this contribution. The contribution concludes with a brief discussion of open challenges, such as the energy supply and data transfer in rotating systems and also data security.
    Publicationtype: Journal Article
      38  23
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    Item type:Publication,
    Evaluation of a modular microsystem structure for sensor-integrating machine elements
    Condition monitoring of machines is playing an increasingly important role in the digitization of Industry 4.0. Rising demands on processes and safety make early detection of wear and in time intervention necessary. For this purpose, existing components and those to be designed have to be equipped with sensors. In particular, machine elements such as feather keys, toothed belts, screws, etc., are enhanced as sensor-integrating machine elements (SiME) via the integration of measuring systems. For a SiME, retention of the original shape of the machine element is a key requirement. In addition, maintaining their primary function is crucial when integrating the measuring system. The implementation using microsystems (MEMS) plays a decisive role due to miniaturization and lower costs. However, the sensors to be integrated have to be carefully selected taking into account possible disturbance factors of the SiME and its application environment. Therefore, up to now SiME usually have to be implemented as an individual solution for each respective application. In the interdisciplinary project MiMoSe (microelectronic modular system for sensor-integrating machine elements) of the Priority Program (SPP) 2305, electrical engineers and mechanical engineers are unitedly developing a modular kit for SiME, in which electrical and mechanical engineering boundary conditions are taken into account including disturbance factors. The aim of this work is to show the procedure, which is important when developing an electronic toolbox, with regard to the component properties and their integration into SiME, in which aspects such as miniaturization, lifespan, range of functions, data processing, data storage, data exchange and modularity are discussed.
    Publicationtype: Conference Paper
      75
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    Item type:Publication, Access status: with files ,
    Exploiting the sustainability potential of modular products by integrating R-imperatives into product life phases
    (Cambridge University Press (CUP), 2023-07) ; ; ; ;
    Climate change and the growing consumption of natural resources has made it increasingly clear that engineering must focus on the development of more sustainable products. To do so, the methodologies for developing products need to address sustainability. However, many of the frequently used methodologies, such as Modular Function Deployment (MFD) or the Life Phases Modularisation (LPM), do not do that sufficiently. The product life phases, these methodologies are based, only address sustainability in the form of recycling. That is why a broader approach to sustainability, such as the R-imperatives, is not considered. Therefore, in this contribution, the model of product life phases is extended by integrating the R-imperatives. Furthermore, the module drivers resulting from the extended product life phases that are necessary to apply the MFD and the LPM are developed. Finally, the positive impact of the developed module drivers on the product architecture is shown by applying the resulting method onto an industrial example.
    Publicationtype: Conference Paper
    Scopus© Citations 2  36  49
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    Item type:Publication, Access status: with files ,
    A method for optimizing product architectures for the management of disturbance factors
    The demand for a better product and process quality is ever increasing in the globalized world. To satisfy this demand the management of disturbance factors in mechatronic systems is essential. The applicability and efficiency of strategies targeted at the management of these factors depend on the components, the source of the disturbance factors and the systems building structure. Therefore, a method is developed to derive a building structure of a system, which supports the management of disturbance factors, from an existing functional structure. This support lowers the effort, necessary to manage disturbance factors, and thereby aids in increasing the quality of the product and the associated process. Finally, the presented method is applied on to a sensor integrating timing belt to demonstrate its usability and practicality.
    Publicationtype: Conference Paper
    Scopus© Citations 3  61  79
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    Item type:Publication,
      160