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탁태오(TaeOh Tak),이상일(Sangil Lee) 한국자동차공학회 2000 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
자동차 현가장치는 콘트롤암이나 스트럿과 같은 구성요소가 기구학적 조인트나 스프링, 부싱, 스테빌라이저와 같은 컴플라이언스 요소들에 의해 결합된 기구-정력학적 시스템으로 생각할 수 있다. 따라서 현가장치의 설계를 위해서는 기구학적 설계점뿐 아니라 컴플라이언스요소들과 관련된 여러 가지 설계변수들도 동시에 고려되어야 한다 본 논문에서는 현가장치를 기구-정력학적 관점에서 정의하고 캠버, 토 등과 같은 정적설계인자로 정의되는 목표성능에 대한 최적설계를 수행하기 위해서 민감도해석에 기초한 일반적인 접근방법을 제안한다 또한 최적화의 과정을 SDAP(Suspension Design and Analysis Program)이라는 소프트웨어로 구현하였으며 이 소프트웨어의 기능과 성능에 대해서도 설명하고자 한다
원종성(Jongsung Won),탁태오(Taeoh Tak) 한국자동차공학회 2012 한국 자동차공학회논문집 Vol.20 No.2
This work deals with dynamic analysis of a monorail system with magnetic caterpillar where magnets are embedded inside each articulated element of the caterpillar, augmenting traction force of main rubber wheels to climb up slope up to 15 degree grade. Considerations are first given to determine stiffness of the primary and secondary suspension springs in order for the natural frequencies of car body and bogie associated with vertical, pitch, roll and yaw motion to be within generally accepted range of 1-2 ㎐. Equations for calculating magnetic force needed to climb up given slope are derived, and a magnetic caterpillar system for 1/6 scale monorail is designed based on the derivation. To assess the hill climbing ability and cornering stability, and make sure smooth operation of the side and vertical guiding wheels which is critical for safety, a multibody model that takes into account of every component level design characteristics of car, bogie, and caterpillar is set up. Through hill climbing simulation and comparison with measurement of the limit slope, the validity of the analysis and design of the magnetic caterpillar system are demonstrated. Also by studying the curving behavior, maximum curving speed without rollover, functioning of lateral motion constraint system, the effects of geometry of guiding rails are studied.
Monte-Carlo 시뮬레이션을 이용한 확률적 차량동역학 해석
전형호(Hyungho Chun),탁태오(Taeoh Tak) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Monte-Carlo simulation technique has advantages over deterministic simulation in various engineering analysis, since Monte-Carlo simulation can take into consideration of scattering of various design variables, which is inherent characteristics of physical world. In this work, Monte-Carlo simulations for steady-state cornering and J-turn behavior of a truck with design variables like hard points and busing stiffnesses have performed to achieve better dynamic performance. The main purpose is to improve understeer gradient at steady-state cornering and minimize peak lateral acceleration and peak yaw rate at J-turn. through correlation analysis, design variables that have high impacts on the cornering behavior were selected, and significant performance improvement has been achieved by appropriately changing the high impact design variables