Knowledge and Control for a Mechanical Design Expert System

Brown,; Chandrasekaran,

doi:10.1109/mc.1986.1663283

Cited by 126 publications

(27 citation statements)

References 7 publications

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“…Over the last years, many authors have pointed out that the art of design can be considered as a kind of problem solving task [2] which relies heavily on all kinds of knowledge. In this perspective, the field has been widely investigated by Artificial Intelligence researchers.…”

Section: System Sizing With a Model-based Approachmentioning

confidence: 99%

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System Sizing with a Model-Based Approach: Application to the Optimization of a Power Transmission System

Yvars

Zimmer

2018

Mathematical Problems in Engineering

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We test the relevance of a model-based approach for sizing and optimizing complex systems. Classically a model-based approach is characterized by a clear partition between the problem description and the solving process. In the case of a design problem, we show that the sizing task could be systematically characterized and therefore could lead to a declarative model combining both system description and design requirements. Once translated into a constraint satisfaction problem, the resulting model can be solved with interval constraint programming methods and algorithms. Our first contribution to this approach is to precisely characterize the sizing task in design. The resulting terminology enables us to easily and systematically express the problem as a constraint satisfaction problem (CSP) which combines in the same model the system description and the design requirements. We have tested the approach on the optimal sizing problem of a power transmission system. Previous authors have described this scalable case study. They provide a mathematical formulation of the problem and solve it with an evolutionary algorithm. Starting from their description, we apply our methodology to model the problem as a CSP and then solve it with interval constraint programming algorithms. Our solutions are more adequate both in computational time and in optimization results than those published in the literature on the same problem. Moreover the declarative nature of constraint programming makes modifications or extensions easier than with evolutionary programming. The explanation of these results is our second contribution to the approach. However some important modelling issues remain to address in order to capture more and more complex system specifications. Further research is presented at the end of this paper.

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Section: System Sizing With a Model-based Approachmentioning

confidence: 99%

“…Item (2) implies that the solutions which are computed can be false solutions regarding the numerous technical and customer requirements which are laid down in terms of inequalities.…”

Section: Simulatorsmentioning

confidence: 99%

System Sizing with a Model-Based Approach: Application to the Optimization of a Power Transmission System

Yvars

Zimmer

2018

Mathematical Problems in Engineering

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“…The assembly variant design process is a complicated decision-making procedure. Brown and Chandrasekaran (1986) have perhaps best described the nature of assembly variant design: "The choice may be simple at each point in the variant design, but overall the task is still too complex to be done by merely looking in a design database because there are too many possible combinations of initial requirements. Simple choices do not imply simple designs or a simple design process.…”

Section: Assembly Variant Designmentioning

confidence: 99%

Complex assembly variant design in agile manufacturing. Part I: System architecture and assembly modeling methodology

Ai-hu¹,

Koç²,

Nagi³

2005

IIE Transactions

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In the distributed and horizontally integrated manufacturing environment found in agile manufacturing, there is a great demand for new product development methods that are capable of generating new customized assembly designs based on mature component designs that might be dispersed at geographically distributed partner sites. To cater for this demand, this paper addresses the methodology for complex assembly variant design in agile manufacturing. It consists in fundamental research in two parts: (i) assembly modeling; and (ii) assembly variant design methodology. This paper, the first of a two-part series, presents the assembly variant design system architecture and the assembly modeling methodology. First, a complementary assembly modeling concept is proposed with two kinds of assembly models, the hierarchical assembly model and the relational assembly model. The first explicitly captures the hierarchical and functional relationships between constituent components whereas the second explicitly captures the mating relationships at the form-feature-level. These models are complementary in the sense that each of them models only a specific aspect of assembly-related information but together they include the required assembly-related information. They are further specialized to accommodate the features of assembly variant design. As a result, two kinds of assembly models, the assembly variants model and the assembly mating graph are generated. These assembly models serve as the basis for assembly variant design which is discussed in the companion paper.

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“…Recently, some notable R&D results [2,3] were reported concerning more co-operative design research. However computer-based co-operation is not necessarily 'designer-friendly', especially in current design environments such as EWS (Engineering Work Station).…”

Section: The Design Problemmentioning

confidence: 99%

An expert system for conceptual design

Ichiko

1989

Proceedings of the 2nd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Exper

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With the use of expert system technologies, our aim is to construct an interactive design aid environment with a highly semantic description facility and a logically effective verification facility for increasing software productivity oriented toward reutilization. This paper discusses current design issues and expert system technologies introduction to its design method in large scale engineering system, especially from the viewpoint of software conceptual design. Some simulation results applied in an expert system for conceptual design which was developed in the research for reducing the restriction of conventional software data design process found as a typical design issue, are shown as an application example, including next forthcoming directions of intelligent design aids research based on highly parallel network concept (CSP based) for efficient process communication.

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Knowledge and Control for a Mechanical Design Expert System

Cited by 126 publications

References 7 publications

System Sizing with a Model-Based Approach: Application to the Optimization of a Power Transmission System

System Sizing with a Model-Based Approach: Application to the Optimization of a Power Transmission System

Complex assembly variant design in agile manufacturing. Part I: System architecture and assembly modeling methodology

An expert system for conceptual design

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