2013 Fiscal Year Final Research Report

Development of optimal design support system and evaluation of mechanical design ability by using a genetic algorithm

Research Project

Project/Area Number	24650531
Research Category	Grant-in-Aid for Challenging Exploratory Research
Allocation Type	Single-year Grants
Research Field	Science education
Research Institution	Hiroshima University
Principal Investigator	KAWADA Kazuo 広島大学, 教育学研究科(研究院), 准教授 (10300633)
Project Period (FY)	2012-04-01 – 2014-03-31
Keywords	機械工学教育 / 設計製図 / 評価法 / 機械設計能力 / 進化的計算法 / 最適設計支援
Research Abstract	The "Mechanical Design and Drafting" is positioned as a comprehensive exercise which organically combines "Machine Element Design", "Drafting", "Working Technology" and so on. However, each student is not fairly evaluated on originality and creativity. Moreover, they are mainly evaluated qualitatively, and the rate of quantitive evaluation becomes quite small. In this paper, a new quantitive evaluation scheme is considered using a genetic algorithm(GA) which is one of the evolutional computation. That is, the optimal form is generated using the GA, and the difference between the optimal form and the form designed by the student is evaluated quantitively. Furthermore, the optimal design support method is considered.