Shape Optimum Design of Ship's Bellows Using Statistical Method |
Kim Hyun-Su,Kim Hyo-Gyeum,Lee Jae-Sub,Kim Hyoung-Jun |
Department of Mechanical Engineering DongA University,Graduate School of Mechanical Engineering DongA University,Graduate School of Mechanical Engineering DongA University,Graduate School of Mechanical Engineering DongA University |
통계적 방법을 이용한 선박용 벨로우즈의 형상 최적 설계 |
김현수,김효겸,이재섭,김형준 |
동아대학교 기계공학부,동아대학교 기계공학과 대학원,동아대학교 기계공학과 대학원,동아대학교 기계공학과 대학원 |
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© 2007 The Korean Society of Ocean Engineers
Open access / Under a Creative Commons License
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Keywords:
Design of experiment, Shape optimization, ANOVA(Analysis of variance), Bellows, Design factor, Level, Response surface method |
핵심용어:
실험계획법, 형상 최적화, 분산 분석, 벨로우즈, 설계 인자, 수준, 반응표면법 |
Abstract |
Bellows are mechanical components which prevent the damage of system by absorption of the vibration and the displacement of axle and radial direction. Thermal piping system is expanded by the fluid of the high temperature from the heat engine inside. At this time, bellows prevent the damage of the piping due to the thermal expansion. Recently, design of bellows is required to fit some other operational environments which are not suggested in the E.J.M.A code book. And it is difficult to produce and to maintain bellows of high temperature and high pressure bemuse of its complicated shape and this causes the manufacturing cost to rise. The objective of this study is to determine optimum shape of bellows which can endure in the high temperature and high pressure. The maximum stress has an effect on the fatigue life of bellows, therefore it needs to be minimized. This study attempts to find a shape which minimizes the stress occurring in the bellows by the design of experiment. The model used in this study is not presented in the E.J.M.A code book, therefore, from the result of design of experiment we find the factors which give effects on the characteristic value and we presents the recession model using the RSM, which can predict the characteristic values depending on the change of factor values. |
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