人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
設計根拠に注目した鉄鋼材料設計知識モデルの記述と活用
來村 徳信藤川 潤太今園 真聡浅野 一哉稲積 透木津 太郎船川 義正小島 真由美飯塚 幸理
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2023 年 38 巻 5 号 p. C-MC1_1-16

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In order to design materials efficiently and to avoid quality defects, it is important to understand design rationales, which are usually implicit behind numerical data. This paper proposes an ontological knowledge modeling framework for design rationale of steel materials. The framework integrates tree-like structural models of design actions, manufacturing processes and machining processes with an ontological classification of nodes in these models. Based on the framework, general steel design knowledge models had been described using ontological dictionaries extended for steel materials. Using the knowledge models, a prototype system summarizes crucial points for realizing a given target property and for avoiding quality defects. For deployment of the framework in the steel company, a browser-based client software and a knowledge server system had been developed. The software with a real-scale general design knowledge model for a specific kind of steel had been used by researchers in the company and evaluated through questionnaires. The result shows it is useful for understanding design rationale and for inheritance of steel design knowledge.

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© 人工知能学会2023
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