서지주요정보
실험계획법을 이용한 공차 해석 방법 개선과 합성 시스템 개발에 관한 연구 = A study on development of improved tolerance analysis and synthesis system usign design of experiment
서명 / 저자 실험계획법을 이용한 공차 해석 방법 개선과 합성 시스템 개발에 관한 연구 = A study on development of improved tolerance analysis and synthesis system usign design of experiment / 서현석.
저자명 서현석 ; Seo, Hyun-Seok
발행사항 [대전 : 한국과학기술원, 2002].
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등록번호

8013303

소장위치/청구기호

학술문화관(문화관) 보존서고

DME 02012

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초록정보

Tolerance design deals with manufacturing uncertainties, while minimizing production cost. Various methods have been proposed for statistical analysis such as root-sum-squares (RSS) method, first-order reliability method (FORM), second-order reliability method (SORM), Monte-Carlo simulation and experimental design techniques. These methods have advantages and disadvantages in terms of accuracy, computational complexity and application scope. Experimental design techniques are one of popular choices and are taken up in this paper. The design variables in a statistical tolerancing are assumed as distributed according to some probability distributions appropriate for such uncertainties. In usual statistical tolerance analyses, they are taken as normally distributed. There are cases, however, that the normal distribution is not reasonable enough. The experimental design technique in the literature, which has been limited only to normally distributed random variables, is extended to handle nonnormal cases. It is based on the three-level Taguchi method and optimum levels and weights to handle nonnormal distributions are derived. It is easy to implement and provides good results for the moments of system response functions compared with other traditional methods. The experimental design technique also needs no derivatives and little computation as opposed to the Monte-Carlo simulation. Although this method gives only estimates of the first four moments (mean, standard deviation, skewness, and kurtosis) of the system response function, the type of probability distribution can be determined by using the Pearson system. For many tolerance design problems, it is required to consider several simultaneous and correlated system requirements. In this paper, the system reliability is approximated by using the Ditlevsen's bounds. The correlation coefficients between the system requirements can be obtained by the proposed experimental design technique. It is expected that the proposed procedure may give the system reliability with better accuracy than other traditional approximate methods since the probability of each failure function and correlation coefficients are calculated more accurately. This is illustrated in examples for tolerance analysis and synthesis. An approximate sensitivity analysis method using the experimental design technique is also proposed. This requires little computational efforts while obtaining good accuracy. This sensitivity analysis combined with the proposed reliability analysis is very suitable for probability based optimal design. The proposed procedure of tolerance analysis and design is applied to some examples containing various nonnormal distributions. This shows that the proposed method is practicable with very good accuracy and efficiency, regardless of the type of distributions.

서지기타정보

서지기타정보
청구기호 {DME 02012
형태사항 xiii, 136 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 : 민감도 해석 과정에서의 편미분 전개식 정리
저자명의 영문표기 : Hyun-Seok Seo
지도교수의 한글표기 : 곽병만
지도교수의 영문표기 : Byung-Man Kwak
학위논문 학위논문(박사) - 한국과학기술원 : 기계공학전공,
서지주기 참고문헌 : p. 120-132
주제 공차 설계
신뢰도 해석
피어슨 시스템
민감도 해석
최적 설계
tolerance design
reliability analysis
Pearson system
sensitivity analysis
optimal design
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