Individual Coffee Maker Design Using Graph-Based Design Languages

Tonhäuser, Claudia; Rudolph, Stephan

doi:10.1007/978-3-319-44989-0_28

Cited by 12 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further investigations in this area could facilitate the application of graph transformation in the industry. Graph transformation may also be used to enable individualized mass customization of products, as shown with the example of individual coffee maker designs (Tonhäuser and Rudolph, 2017). Using the coffee maker design of Agarwal and Cagan (1998) as a reference, graphbased design languages have been used to implement a generic design process for coffee makers that allows for the customization of individual designs by dedicated customer inputs for "lot-size 1" designs (Tonhäuser and Rudolph, 2017).…”

Section: Product Development Processmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

View full text Add to dashboard Cite

In engineering and architecture, different approaches have been developed that share the use of graph transformation to automate design processes or to search for design solutions by means of computational design synthesis. In order to give an overview of these approaches, we provide a review of articles published in the last decade. Forty-eight articles were reviewed to determine similarities and differences of these approaches. Research fields in method development for the representation of design problems and the processing of graph transformations, as well as the application of graph transformations in engineering, architecture, and shape grammars were identified. Different approaches for the documentation of the vocabulary and the rules were examined. Finally, different approaches for rule applications were analyzed. Based on found limitations, future research directions are suggested.

show abstract

Section: Product Development Processmentioning

confidence: 99%

Graph transformation in engineering design: an overview of the last decade

Voss

Petzold

Rudolph

2023

AIEDAM

View full text Add to dashboard Cite

show abstract

“…Property graphs commonly enable topological extensibility while dynamic geometric transformations pose a less common challenge. In concrete terms, it is comparably easy to construct the system entities and their relationships for a coffee machine (Tonhäuser and Rudolph, 2017) or a bridge (Slusarczyk and Strug, 2017). Still, a valid topological and semantic configuration does not guarantee to make the components form a valid and harmonic assembly, without collisions and gaps at emerging interfaces.…”

Section: Applications In Architecture and Civil Engineeringmentioning

confidence: 99%

“…A second use of graph rewriting techniques is of course on the structural level of abstraction, where rules can be embedded to determine the (optimal) configuration of functionderived elements. Tonhäuser and Rudolph (2017) show the entire process revisiting the well-known coffee maker example.…”

Section: Function-based Design Synthesismentioning

confidence: 99%

Graph Rewriting Techniques in Engineering Design

Kolbeck

Vilgertshofer

Abualdenien

et al. 2022

Front. Built Environ.

View full text Add to dashboard Cite

Capturing human knowledge underlying the design and engineering of products has been among the main goals of computational engineering since its very beginning. Over the last decades, various approaches have been proposed to tackle this objective. Among the most promising approaches is the application of graph theory for representing product structures by defining nodes representing entities and edges representing relations among them. The concrete meaning of these structures ranges from geometry representations over hierarchical product breakdowns to functional descriptions and flows of information or resources. On top of these graph structures, graph rewriting techniques provide another powerful layer of technology. By enabling the formal definition of rules for transforming graph structures, they allow on the one hand side to formally capture the engineering development process. On the other hand, the assembly of rewriting rules into graph grammars allows for an exhaustive search of the solution space of the engineering problem at hand. In combination with search strategies, an automated optimization of the design under given constraints and objectives can be realized. The paper provides an overview of the current state-of-the-art in graph rewriting and its applications in engineering design, with a focus on the built environment. It concludes with a discussion of the progress achieved and the missing research gaps.

show abstract

“…For any further explanations and properties of graph-based design languages and the design compiler approach, the reader is referred to the already quite extensive body of literature about graph-based design languages [2][3][4][5]. More specifically, any reader interested in a comparison of graph-based design languages with other related graph transformation approaches is referred to a most recent survey paper which reviews the commonalities and differences of graph transformation approaches [6] and which represents a follow-up of a previous survey paper [7].…”

Section: Graph-based Design Languagesmentioning

confidence: 99%

Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

et al. 2022

Self Cite

View full text Add to dashboard Cite

System design in an aircraft is still a costly, manual and iterative approach. One major cost driver of changes in system installation are design efforts for creating new pipes in an earlier stage and the costs accumulated during the in service life. To reduce these costs and the time to market, an automation approach with an integrated design optimization encoded in graph-based design languages and executable in a design compiler is proposed. To generate the pipe work automatically, a set of input data (e.g., start- and end-points of a pipe with tangents and fixing positions) is given by the user. It also contains, among others, the weightings for the optimization criteria (e.g., length of the pipe resp. the weight vs. the number of bends) to influence the evaluation of the generated pipes and thereby the final solution. As an initial step in the automatic pipe generation process, a route through the installation space is searched. Subsequently, the installation space is simplified and a respective minimal distance to each obstacle which a pipe should satisfy is added. Then for each pipe an initial solution is estimated and each pipe is optimized by a simulated annealing algorithm. At last, all given requirements are automatically verified. A carried out investigation indicates a polynomial runtime behaviour of the algorithm. The capabilities of the newly developed automated piping are demonstrated on the pipe work in an Airbus A320 landing gear bay.

show abstract

Individual Coffee Maker Design Using Graph-Based Design Languages

Cited by 12 publications

References 17 publications

Graph transformation in engineering design: an overview of the last decade

Graph transformation in engineering design: an overview of the last decade

Graph Rewriting Techniques in Engineering Design

Automated Piping in an Airbus A320 Landing Gear Bay Using Graph-Based Design Languages

Contact Info

Product

Resources

About