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Use of Function Analysis in the Design of Multi-Functional Products

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Towards AI-Aided Invention and Innovation (TFC 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 682))

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Abstract

In the current developing world, Technical Systems are required to satisfy variable customers’ needs. This means they should be designed to facilitate multifunctionality with a simultaneous reduction in resource usage consumed for products with many components having minimal functionality index. The proposed approach is to develop a method for components clustering on a functional level to identify functional modules being sets of components that perform a main function on a target component. Such clustering is quantified as a novel modularity index derived from the value equation used in TRIZ and coupled with existing modularity metrics. As a result of the work, a clustering mechanism for Technical System Components was proposed that facilitates the design of modular, multi-variant products. Additionally, the proposed method can help to assess the design from the point of view of its modular structure, indicating areas for further development, including Trimming and Contradiction Defining approaches. The proposed method can reduce the time and costs associated with a modular design. Additionally, designed Technical Systems can be more prone to modifications. In total, this approach can improve the adaptivity of a Technical System, reducing manufacturing costs.

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Acknowledgements

The presented method was developed as part of a research task “Forecasting development of sandwich panels in modular technical systems” financed by a pro-quality subsidy for the development of the research potential of the Faculty of Mechanical Engineering of the Wroclaw University of Science and Technology in 2022. The case study was prepared based on the results of the project “Flexible production system (ESPP) of modular car trailers with GW up to 3500kg manufactured in HoneyTech technology”, project no.: POIR.01.01.01–00-0589/19, realized within Measure 1.1 „R&D projects of enterprises”, Sub-measure 1.1.1 „Industrial research and development work implemented by enterprises”, Project co-financed by the European Union from the European Regional Development Fund under the Smart Growth Operational Programme 2014–2020.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Department of Machine and Vehicle Design and Research, Wroclaw University of Science and Technology, Ul. Łukasiewicza 7/9, 50-371, Wroclaw, Poland

    Marek Mysior & Sebastian Koziołek

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  1. Marek Mysior
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  2. Sebastian Koziołek
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Correspondence to Marek Mysior .

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  1. ICube-CSIP/INSA Strasbourg, Strasbourg, France

    Denis Cavallucci

  2. Offenburg University of Applied Sciences, Offenburg, Germany

    Pavel Livotov

  3. Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Stelian Brad

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Mysior, M., Koziołek, S. (2023). Use of Function Analysis in the Design of Multi-Functional Products. In: Cavallucci, D., Livotov, P., Brad, S. (eds) Towards AI-Aided Invention and Innovation. TFC 2023. IFIP Advances in Information and Communication Technology, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-031-42532-5_25

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  • DOI: https://doi.org/10.1007/978-3-031-42532-5_25

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