Utilizing the Embodiment Function Relation and Tolerance Model for Robust Concept Design

Li, Jiahang; Horber, Dennis; Keller, Christoph A.; Grauberger, Patric; Goetz, Stefan; Wartzack, Sandro; Matthiesen, Sven

doi:10.1017/pds.2023.378

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Different industrial sectors are represented in the Robust Design SIG, so that in addition to Precision Engineering – the main focus in Ilmenau – challenges and approaches from production engineering, automotive and aerospace industries, medical and drug delivery devices and many others are addressed (Eifler et al 2023). In research, questions concerning all steps of the development process are discussed, in order to develop robust solutions in the context of the different requirements and external as well as internal influences (Eifler & Schleich 2021; Husung et al 2023; Li et al 2023). Increasingly, approaches from Virtual Product Development are being used: from tolerance simulations (Heling et al 2018) to Pareto optimisations (Bode et al 2023) and knowledge-based solutions (Faheem et al 2023; Walsh et al 2023).…”

Section: Design Science In Ilmenaumentioning

confidence: 99%

Ilmenau’s contributions to Design Science

Höhne,

Weber,

Husung

2024

Des. Sci.

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Ilmenau is a relatively small town in a beautiful landscape, close to the centre of Germany. Since 1894 it has been the home of a Technical College which after World War II and through some permutations became today’s Technische Universität Ilmenau. For 70 years the university has contributed to Design Science. It is interesting to note that the fundamentals were developed in practice, at the Carl Zeiss company in Jena; it was only later that the new ideas were further developed for academic research and teaching in Ilmenau. The origins at Zeiss Jena still account for the main application area at Technische Universität Ilmenau today: Precision Engineering which, in addition to mechanical, has always included electric, electronic, control, software, and even optical components (“mechatronics” before the term was coined). This article – written by three (out of four in total) of the professors who were and are, respectively, in charge over almost 50 out of the 70 years – tells the story of Design Science in Ilmenau: background, beginnings, development, contributions to research, teaching, and transfer to industry. As Ilmenau was situated in the German Democratic Republic (“East Germany”) between 1949 and 1990, the story is not free of political and societal implications, some of them quite surprising.

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Section: Design Science In Ilmenaumentioning

confidence: 99%

Ilmenau’s contributions to Design Science

Höhne,

Weber,

Husung

2024

Des. Sci.

View full text Add to dashboard Cite

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Supporting early robust design for different levels of specific design knowledge: an adaptive method for modeling with the Embodiment Function Relation and Tolerance model

Li,

Horber,

Grauberger

et al. 2024

Des. Sci.

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Early robust design (RD) can lead to significant cost savings in the later stages of product development. In order to design systems that are insensitive to various sources of deviation in the early stages, specific design knowledge (SDK) plays a crucial role. Different design situations result in higher or lower levels of derivable SDK, which leads to different activities to achieve the development goal. Due to the variety of design situations, it is difficult for design engineers to choose a more robust concept to avoid the costly iterations that occur in the later development stages. Existing RD methods often do not adequately support these differences in design situations. To address the problem, this paper outlines an adaptive modeling method using the Embodiment Function Relation and Tolerance model. The method is developed in two contrasting design situations, each with a high and low level of derivable SDK, and evaluated in another two corresponding case studies. It has a consistent structure with five stages and gates. At each stage, the derivable SDK is taken into account and the individual modeling steps are adapted. This method provides design engineers with concrete support for early robustness evaluation of a product concept in different development scenarios.

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Static Robust Design Optimization Using the Stochastic Frontier Method: A Case Study of Pulsed EPD Process on TiO2 Films

Rezgui,

Trabelsi,

Barbana

et al. 2024

Inventions

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This paper aims to optimize a pulsed electrophoretic deposition (EPD) process for TiO2 films. This is accomplished by determining the optimal configuration of the coating parameters from a robust optimization perspective. The experimental study uses a composite central design (CCD) with four control factors, i.e., the initial concentration (x1 in g/L), the deposition time (x2 in s), the duty cycle (x3 in %), and the voltage (x4 in V). The process responses that should all be maximized are the photocatalytic efficiency of the thin film (De) and three critical charges, which characterize the adhesion failure, i.e., LC1: the load at which the first cracks occurred; LC2: the load at which the film starts to delaminate at the edge level of the scratch track; and LC3: the load when the damage of the film exceeds 50%. This paper compares the robust optimization design of the EPD process using two methods: the robust design of processes and products using the stochastic frontier (RDPP-SF) and the surface response and desirability function methods. The findings show that the RDPP-SF method is superior to the response surface–desirability method for the process responses De and LC2 because of non-natural sources of variation; however, both methods perform comparably well while analyzing the LC1 and LC3 responses, which are subjected to pure random variability. The parameters setting for the process robust optimization are met in run 25 (x1 = 14 g/L, x2 = 150 s, x3 = 50%, and x4 40 V).

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Utilizing the Embodiment Function Relation and Tolerance Model for Robust Concept Design

Cited by 3 publications

References 20 publications

Ilmenau’s contributions to Design Science

Ilmenau’s contributions to Design Science

Supporting early robust design for different levels of specific design knowledge: an adaptive method for modeling with the Embodiment Function Relation and Tolerance model

Static Robust Design Optimization Using the Stochastic Frontier Method: A Case Study of Pulsed EPD Process on TiO2 Films

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