Product models in embodiment design: an investigation of challenges and opportunities

Matthiesen, Sven; Grauberger, Patric; Bremer, Frank; Nowoseltschenko, Konstantin

doi:10.1007/s42452-019-1115-y

Cited by 17 publications

(16 citation statements)

References 50 publications

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“…In advance of describing a system, developers need to determine which modeling approach is suitable to achieve their modeling objective as it is hard to choose the right model. Therefore, contributions like Eisenmann et al (2021) and Matthiesen et al (2019) support practitioners by providing comprehensive reviews on existing models. As one possible modeling approach, the quantitative working space model (qWSM) is presented.…”

Section: The Quantitative Working Space Modelmentioning

confidence: 99%

Influence of the operation strategy on the energy consumption of an autonomous sensor node

Schösser

Schmitt

Kirchner

et al. 2022

J. Sens. Sens. Syst.

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Abstract. Motivated by the application of industry 4.0 and Internet of Things (IoT) technologies, the development of cyber physical systems (CPS) is gaining momentum. As CPS require multiple measurement technologies to drive the intended function, e.g., condition monitoring and in situ measurement, the integration of measurement systems into industrial processes or individual products becomes a critical activity within the development process. Development methods like the V-Model support developers with methodological guidelines, but the related methods and models do not provide sufficient information regarding the energy supply of embedded systems. If the measurement system, consisting of sensor, calculation and communication unit is integrated inside an either sealed or moveable system, e.g., in a gearbox, ensuring a reliable communication and energy supply is a challenging task. This contribution therefore focuses on the energy supply, in particular the electric power consumption of autarchic measurement systems, referred to as sensor nodes. Based on a literature review of existing physical principles determining the energy consumption of semiconductors, a simple estimation model is derived. Estimation models in the current literature mainly focus on the effects of source code or software in general without analyzing a possible impact of operation strategies, such as generic data processing logics in practical applications. The model presented in this contribution is therefore used to identify the energy consumption of sensor nodes influenced by ambient and operating conditions of sensor nodes. Strategies are examined experimentally using an exemplary sensor node, a climatic chamber and a sensor-integrated gearbox as the system to be observed. An analysis of the conducted experiments leads to a more precise model, which is evaluated regarding its significance for predicting the energy consumption and the underlying simplifications. Finally, general relations influencing the energy consumption are presented and necessary research suggested.

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Section: The Quantitative Working Space Modelmentioning

confidence: 99%

Influence of the operation strategy on the energy consumption of an autonomous sensor node

Schösser

Schmitt

Kirchner

et al. 2022

J. Sens. Sens. Syst.

View full text Add to dashboard Cite

show abstract

“…Many models enable depiction of these embodiment function relations (EFRs) with different focus (Matthiesen, 2019a). Qualitative modelling of EFRs is used as support to create quantitative models such as models based on finite element method (FEM), multibody simulations, etc.…”

Section: The Design Domain -Modelling Embodiment and Functionsmentioning

confidence: 99%

A Conceptual Model Combination for the Unification of Design and Tolerancing in Robust Design

Grauberger

Goetz

Schleich

et al. 2020

Proc. Des. Soc.: Des. Conf.

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In design engineering, the early consideration of tolerance chains contributes to robust design. For this, a link of design and tolerancing domains is essential. This paper presents a combination of the graph-based tolerancing approach and the Contact and Channel approach to link these domains. The combined approach is applied at a coinage machine. Here it provides detailed insights into state-dependent relations of embodiment and functions, which can improve robustness evaluation of the concept. This approach shows a possibility to bridge the gap between design and tolerancing domains.

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“…Prior to building a systems model, designers have to choose the most suitable model for their development objective. As a variety of different models is available and all require comprehensive knowledge about their use as well as training, practitioners are supported by available reviews of models like (Eisenmann et al, 2021;Matthiesen et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The quantitative Working Space Model – Generating Knowledge in the K Space

Schmitt¹,

Kirchner²

2022

How Product and Manufacturing Design Enable Sustainable Companies and Societies

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Understanding a systems behavior is essential for designers to evaluate different design solutions. C-K Theory (Hatchuel & Weil, 2009) empowers practitioners to design innovative systems. Generating knowledge in the K Space about concepts in the C Space is mandatory to assess the solution space which is spanned by different concepts. Existing modelling approaches are evaluated based on a literature review. The quantitative Working Space Model (qWSM) is introduced as a tool for C-K theory and a way to model physical systems using conservation quantities. Originating in the work of the Beetz et al. ( 2018), the qWSM is presented as hybrid approach combining heuristic with analytical models. By pointing out the underlying principles of the model, it is discussed how practitioners gain insight in the system's qualitative working principles and the quantitative relations between design parameters and function. The significance of a model based on conservation quantities is derived from a review on models focusing on the flow of force, in particular the Contact and Channel-Approach. The conditions for a successful use of the qWSM are presented and the limitations in terms validity of qWSMs are pointed out. For the concept of a hydraulic ram knowledge about the underlying working principle is generated using the qWSM. Using the knowledge to identify the function determining design parameters the authors examine the quantitative relation between function and embodiment of the hydraulic ram. Following the analysis, a prototype of the hydraulic ram is designed using the qWSM. The authors point out the qWSM's potential as a new tool to generate knowledge for concepts in the C-Space encouraging designers to take innovative design concepts into consideration by providing insight about the quantitative impact of design solutions on the main function of a system. The vision of multi physical modelling is derived from the performed research. Lastly, necessary further research to enable the qWSM to serve as a multi physical model is pointed out.

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Product models in embodiment design: an investigation of challenges and opportunities

Cited by 17 publications

References 50 publications

Influence of the operation strategy on the energy consumption of an autonomous sensor node

Influence of the operation strategy on the energy consumption of an autonomous sensor node

A Conceptual Model Combination for the Unification of Design and Tolerancing in Robust Design

The quantitative Working Space Model – Generating Knowledge in the K Space

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