Knowledge engineering for design synthesis support

Schotborgh, W.O.

doi:10.3990/1.9789036528016

Cited by 7 publications

(9 citation statements)

References 36 publications

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“…This project has industrial partners that represent a cross-section of complex product development, including medical equipment, wafer steppers, printer/copiers, and baggage handling systems, as well as world's leading developer of technical computing software. Interviews and discussions with chief scientists (2), systems and software architects (6), System, software and mechanical engineers (~10), software developers for design and/or integration (6), and a workshop (open discussion ~20) [14], have highlighted a number of key issues in complex product development. Often, the same issues came to light.…”

Section: Problem Definitionmentioning

confidence: 99%

Multi Domain Design: Integration and Reuse

Woestenenk

Tragter

Bonnema

et al. 2010

Volume 5: 22nd International Conference on Design Theory and Methodology; Special Conference on Mechanical Vibration and Noise

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Design of mechatronic systems is becoming increasingly complex. Companies must continuously reduce time-to-market while increasing the quality, diversity, and functionality of their products. As a result, more and more specialists from various domains are needed to develop such products. To reduce time-to-market, many companies look to reducing the time it takes to design a product. Many focus on the reuse of design objects, leading to libraries of templates and standard components to speed up their design process. However, these reusable design objects are developed and maintained in the specialists’ domains, resulting in communication and integration issues between these domains. This paper discusses these issues and proposes a combined approach for model reuse, design integration, and communication between the designers, design tools, and models involved. A case study at a multi-national company successfully demonstrated that the approach leads to a faster and more consistent design process.

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Section: Problem Definitionmentioning

confidence: 99%

Multi Domain Design: Integration and Reuse

Woestenenk

Tragter

Bonnema

et al. 2010

Volume 5: 22nd International Conference on Design Theory and Methodology; Special Conference on Mechanical Vibration and Noise

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“…PaRC (acronym for Parameters, Resolved rules and Constrain rules) is a knowledge engineering methodology for design automation [57]. PaRC prescribes the automation of parametric routine design problem by proposing a framework for representing knowledge and methods for automating the design problem.…”

Section: Parcmentioning

confidence: 99%

“…Deriving methods and schemes for formulating design problems has been an important subject of research in the field of Problem Solving Theory (PST) [65,22,21] as well as in the field of CDS [57,5]. From the perspective of PST, Simon [65] has defined problem structuring as the process of drawing upon our knowledge to compensate for missing information, and using this knowledge to construct the problem space.…”

Section: Problem Formulationmentioning

confidence: 99%

“…This example deals with the design of an optical chamber of an x-ray fluorescence spectrometer (XRF spectrometer), described in [57]. An XRF spectrometer is an instrument capable of determining the chemical composition of material samples.…”

Section: Example: Xrf Optical Path Designmentioning

confidence: 99%

“…While Chapter 7 described methods for determining how to instantiate elements, this chapter focuses on parameters related by analysis, physical coherence constrains, and knowledge rules relations. These relations can be explicitly written as mathematical models, but can also be graphically represented using knowledge graphs, as proposed by [57]. In this chapter, these directed graphs are used to represent the network of parameters and relations, and explain the basis of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

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From how much to how many : managing complexity in routine design automation

Becker¹,

Manuel²

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Advances in technology and competitive markets are driving the development of products with shorter times to market. In addition to this, products are becoming more complex, with more functionality, and yet lower prices. This has motivated the development of computer systems that support different phases of the design process, one of which is the synthesis process. This process consists of generating candidate design solutions to design problems. This thesis researches the development of software that supports synthesis processes. This type of software is denoted in this thesis as Computer Aided Synthesis, or CAS. The scope lies within the boundaries of routine design problems of artifacts. In such problems, designers have all knowledge available about the components, parameters, relations and constrains that are used for solving them. Synthesis processes for generating solutions to routine design problems consist of two tasks: (1) generating networks of components and (2) attributing values to unknown parameters. The exact strategy determining how these tasks are performed depends on the distribution of requirements throughout the different levels of detail of the problem, e.g. only on top, only at the bottom or as a mix. However, this relation is not known a priori and is different for different distributions of design requirements. From here that complexity in routine design is attributed to the distribution of design requirements along the different abstractions of the problem. Determining the dependency between design complexity and synthesis strategies is the main challenge of this research. The result is a new complexity management approach: Computational Design Synthesis by Complexity Management. This approach integrates six methods, which have all been developed during this research. The first step of this approach consists in formulating a design problem using the FBS based Formulation method. This method uses FBS representations to aid designers in the process of determining which are the exact components, parameters, relations and constraints playing a role in the design problem. The formal design problem is then decomposed by applying the ADT based VII

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Bio-based design methodologies for products, processes, machine tools and production systems

Houten

Wertheim

Ayali

et al. 2021

CIRP Journal of Manufacturing Science and Technology

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The paper explores and presents results of an investigation handling design methodologies using the bio-space and biological phenomena combined with the technical space for the development, design and application of products, machine tools, processes and manufacturing systems carried out by a multinational team including Fraunhofer and CIRP fellows. The main biological approach for designing was bio-inspiration. However, links and examples implementing bio-integration and bio-intelligence were also considered and analyzed during the investigation.The paper describes a systematic design procedure starting from requirements and applications related to manufacturing, using well-known theories and experience in engineering, however analyzing and applying biological materials, properties, structures, phenomena and complete systems. Sustainability aspects combined with the immense and ever growing capacity of ICT and digitization possibilities provided new options for design methodologies.A moveable and flexible machine tool was virtually used as a demonstrator to describe the new methodology. It was proved that the o ngoing process of learning from nature and applying biological phenomena, structures and materials, together with new technologies such as Additive Manufacturing (AM) can develop new ideas, processes, manufacturing systems, and products with benefits to performance, productivity, efficiency and sustainability. Nature and biological domains can be integrated, can inspire, be implemented or even applied as an intelligent system in the design procedure.

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Knowledge engineering for design synthesis support

Cited by 7 publications

References 36 publications

Multi Domain Design: Integration and Reuse

Multi Domain Design: Integration and Reuse

From how much to how many : managing complexity in routine design automation

Bio-based design methodologies for products, processes, machine tools and production systems

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