• Title/Summary/Keyword: 오토 레버

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Optimal Design of Auto Transmission Lever using Genetic Algorithm (유전알고리듬을 이용한 오토 트랜스미션 레버의 최적설계)

  • 서광규
    • Proceedings of the KAIS Fall Conference
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    • 2003.06a
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    • pp.140-142
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    • 2003
  • 본 논문은 유전 알고리듬을 이용하여 오토 트랜스미션 레버의 최적 설계 방법론에 대한 연구이다. 현재 업계에서의 오토 트랜스미션 레버는 구성 부품들을 순서적으로 설계하고 있으나, 본 연구에서는 구성 부품들의 설계 파라미터들을 동시에 고려하여 설계할 수 있는 새로운 방법론을 제안한다. 유전 알고리듬 접근방법은 오토 트랜스미션 레버의 설계 파라미터들의 최적 설계 파라미터 집합을 결정하기 위해 적용된다. 본 연구에서는 오토 트랜스미션 레버의 구성 부품들로 구성된 제약조건하에 디덴트 스프링의 각의 변위를 최소화하는 목적함수를 가지는 설계 문제를 모델링하였고, 유전 알고리듬을 적용하여 최적 설계를 수행하였다.

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Genetic Algorithm based Optimal Design Methodology For Lever Sub-Assembly of Auto (오토 레버의 기구부 최적 설계 방안 제시를 위한 유전 알고리즘 적용 연구)

  • 정현호;서광규;박지형;이수홍
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.133-136
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    • 1997
  • This paper explores the optimal design methodology for auto lever using a genetic algorithm. Component of auto lever has been designed sequentially in the industry, but this study presents the novel design method to consider the design parameters of components simultaneously. The genetic algorithm approach is described to determine a set of design parameters for auto lever. The authors have attempted to model the design problem with the objective of minimizing the angle variation of detent spring subject to constraints such as modulus of elasticity of steel, geometry of shift pipe, and stiffness of spring. This method can give the better alternative.

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A Genetic Algorithm based an Optimal Design Methodology for a Lever Sub-Assembly of an Auto Lever (오토 레버의 기구부 최적 설계 방안 제시를 위한 유전 알고리듬 적용 연구)

  • Jung, Hyun-Hyo;Seo, Kwang-Kyu;Park, Ji-Hyung;Lee, Soo-Hong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.2
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    • pp.285-293
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    • 2003
  • This paper explores an optimal design methodology for an auto lever using a genetic algorithm. Components of the auto lever have been designed sequentially in the industry, but this study presents a novel design method to determine the design parameters of components simultaneously. The genetic algorithm approach is described to decide a set of design parameters for auto lever. The authors have attempted to model the design problem with the objective of minimizing the angle variation of detent spring subject to constraints such as modulus of elasticity of steel, geometry of shift pipe, and stiffness of spring. This method gives the promising design alternative.

A Study on Process-Related Design Knowledge Management for an Auto Lever Indicator (오토 레버 인디케이터부의 프로세스 연결 설계 지식 관리에 관한 연구)

  • 김석도;김태수;이수홍;고희병
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.925-928
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    • 2002
  • It is well blown that the product development time in manufacturing industry is critical. A new methodology for a product design knowledge management is required to reduce design errors and to optimize a design process. In this paper, Process-Related design knowledge management and Document Template are introduced to provide a design process to prevent previous design errors and a solution for the desist errors. Also the Document Template is more convenient interface in integrating the design knowledge into a system.

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A Design Process Analysis with the DSM and the QFD in Automatic Transmission Lever Design (DSM과 QFD 분석을 이용한 오토레버 설계 과정의 분석)

  • 천준원;박지형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.9-12
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    • 2003
  • This paper describes a step-by-step method to minimize design iterations in a process of product design change. In the design process, two components are coupled if a change of a component can require the other components change, and design iterations are generated by the coupling. The design iteration is one of main factors that increase design effort. In this study, three matrices are used to solve the design iteration of automatic transmission lever, Requirement-Engineering matrix, Engineering-Components matrix, and DSM(Design Structure Matrix). Firstly, with the DSM, the product architecture and conceptual design process are proposed from product function analysis. Secondly, with the QFD, the Requirement-Engineering matrix and Engineering-Components matrix present the relationship among customer requirements, engineering issues, and product components. Lastly, the results of the QFD analysis are used in the DSM to solve the component interactions and to provide design

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