A Framework of Describing and Managing Engineering Analysis Modeling Knowledge for Design Validation

Author:

Nomaguchi Yutaka1,Taguchi Tomohiro2,Fujita Kikuo2

Affiliation:

1. Department of Mechanical Engineering, Graduate School of Engineering, Osaka University Suita, Osaka 565-0871, Japan,

2. Department of Mechanical Engineering, Graduate School of Engineering, Osaka University Suita, Osaka 565-0871, Japan

Abstract

Engineering design is validated by engineering analysis. In the process for predicting the physical behavior of the design, the design components, physical mechanisms, etc. are idealized as models, the contents of which depend on a various factors such as the type of product, the validation objectives, and the design lead time as well as the design’s physical features. It is important to examine such modeling knowledge to enhance the rationality and reusability of engineering analysis. This article proposes a concise and comprehensive format for describing the knowledge of engineering analysis, called Engineering Analysis Modeling Matrix (EAMM). EAMM is a matrix of two axes, that is, a modeling aspect axis and a modeling level axis. The former axis consists of target objects, governing principles and behavior, and the latter axis consists of conceptual, mathematical and computational approaches. EAMM takes the form of a nine-cell matrix by combining the two modeling axes, each having the three sub concepts. Seven scaphoid boxes called operation spaces are arranged among the cell spaces. When a designer describes various elements of modeling knowledge in such a format, the association of the cells and boxes enables the designer to organize the modeling process and obtain its overview. The design of a water heater is used as an example to demonstrate the capability of EAMM for description and management of engineering analysis modeling knowledge.

Publisher

SAGE Publications

Subject

Computer Science Applications,General Engineering,Modeling and Simulation

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations;Journal of Computing and Information Science in Engineering;2024-08-21

2. A Meta-Model for Intelligent Engineering Design of Complex City;Systems Engineering in Research and Industrial Practice;2019

3. A Meta-Model for Engineering Analysis in Product Design;Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment;2012-08-10

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