Using the New Working Space Model for the Development of Hygienic Products

Beetz, Jean-Paul; Schlemmer, Pia Dorothea; Kloberdanz, Hermann; Kirchner, Eckhard

doi:10.21278/idc.2018.0142

Cited by 5 publications

(10 citation statements)

References 2 publications

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“…Exceeding the abilities of its predecessor and competitive models the qWSM can give an insight how exactly non-functions such as a leakage can be fixed. A non-function describes a not existing but intended function such as missing sealing as the cause of leakage (Beetz et al, 2018). An example can be seen in Figure 7.…”

Section: Methodsmentioning

confidence: 99%

“…The purpose of this contribution is to present the quantitative Working Space Model, originating in the work of Beetz et al (2018), ( Beetz & Kirchner, 2019) and now enhanced by the ability to actually calculate the state variables of the system and its sub systems. This enhancement is driven by the idea of balancing conservation variables in each working space (WS) of the system, deriving their individual state equations and coupling them to each other by coupling equations.…”

Section: Introductionmentioning

confidence: 99%

“…The developed effect catalogue for example describes the expectable friction losses in case of a WSP of two cylindrical surfaces. Motivated by the contact and channel approach (Albers & Wintergerst, 2014;Grauberger et al, 2020;Matthiesen et al, 2018) and the contact and channel model (Braun et al, 2009) the Working Space Model was introduced by (Beetz et al, 2018;Beetz & Kirchner, 2019) as a modelling approach for the analysis and following the development of hygienic products. Beetz and Kirchner (2019) describe the limitations of existing product models, focusing on the C&C²-Approach, when analyzing systems with the modelling objective to identify unwanted interactions between working spaces.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Schmitt¹,

Kirchner²

2022

How Product and Manufacturing Design Enable Sustainable Companies and Societies

Self Cite

View full text Add to dashboard Cite

show abstract

“…can be exchanged. The qWSM evolved from the working space model (WSM) developed by Beetz et al (2018) and Beetz and Kirchner (2019). Furthermore, the original WSM was inspired by the contact and channel approach (Albers and Wintergerst, 2014;Grauberger et al, 2020;Matthiesen et al, 2018) and the contact and channel model (Braun et al, 2009).…”

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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“…The Working Space Model is a model to help the designer to consider requirements in early design phases. It's original use is to describe intended and unintended flow of material and is presented in (Beetz et al, 2018). The Working Space Model can also be used to describe the flow of energy being exchanged between volumes by interaction of their contacts.…”

Section: Working Space Model As Detailed Evaluation Of Necessary Modelling Effortmentioning

confidence: 99%

Simple Integration of Sensory Functions

Vogel¹,

Kirchner²

2019

Proc. Int. Conf. Eng. Des.

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The digitalization of the Industry is one of the megatrends taking place, but many companies struggle to follow this trend. The main reason is the absence of simple solutions for the integration of sensory functions, which are applicable to the existing system. Therefore, this paper discusses the aspects of simplicity in the context of integrating sensory functions into existing systems, to support the development of digitalized products.Two general requirements can be formulated for a solution to be applicable simple: The first requirement is affected by the product structure. The solution must affect the least possible amount of modules and must not interfere with the interfaces of the modular platform. The second requirement is affected by the effort to model the behaviour of the desired information and the possible data a sensory function is delivering. The effort to develop a reliable solution has to be compared with the commercial potential of the solution.To consider the mentioned requirements, the paper explains three approaches to assess the simplicity of solutions on an example of the desired monitoring of the functions of a rotary plug valve.

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Using the New Working Space Model for the Development of Hygienic Products

Cited by 5 publications

References 2 publications

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

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

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

Simple Integration of Sensory Functions

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