Transactions of the JSME (in Japanese)
Online ISSN : 2187-9761
ISSN-L : 2187-9761
2015 Special Issue on New Developments in the field of Design and Systems Engineering
Analysis of empirical knowledge acquisition process in optimal design of multi-disciplinary system
Yutaka NOMAGUCHIHiroyuki NAKAYAMAHaruki INOUEKoutaro TODAKikuo FUJITA
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2015 Volume 81 Issue 830 Pages 15-00244

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Abstract

Adequate optimization formulation and algorithm choices are essential for successful optimal design of a multi-disciplinary system. Details of such process remain with the realm of tacit experimental knowledge and skills of engineers. The future goal of our research is to build a descriptive management method that facilitates explicit description of experimental knowledge of engineers. This paper aims at clarifying an acquisition process of experimental knowledge in optimal design of a multi-disciplinary system. An experimental design optimization of a desiccant air system is performed to capture the process. Some typical process patterns are formalized based on the analysis of the captured process. This paper also discusses a vision for the descriptive management.

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© 2015 The Japan Society of Mechanical Engineers
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