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다운힐 심플렉스 최적화를 이용한 피스톤 계측 링키지 시스템의 설계
송치헌(Chiheon Song),조석원(Seokwon Cho),민경덕(Kyoungdoug Min) 한국자동차공학회 2020 한국 자동차공학회논문집 Vol.28 No.8
Knock mitigation is the major challenge for the efficiency improvement of an SI engine. To investigate the knock phenomenon, it is important to measure the wall temperature because knock is mostly affected by the wall temperature of the combustion chamber. The measurement of the piston wall temperature is challenging, however, because the piston reciprocates at a very high speed during engine operation. In this study, the design procedure of the linkage system for piston temperature measurement is presented. First, the kinematics of the system was analyzed considering the practical engine application. To obtain the optimal design, a new optimization methodology was established with the modified Nelder-Mead algorithm. Thereafter, stress analysis was conducted to estimate the durability of the designed system under harsh operating conditions. As a result, the designed system was verified to have a safety factor of 2 under a 6000 rpm engine speed. The selected design was fabricated and retrofitted into the engine, and the piston wall temperature was successfully measured. It was found that the piston wall temperature was mainly affected by the liner wall temperature, not by the head wall temperature, due to the heat transfer through the piston ring and the liner wall.
모바일 및 웨어러블 기기를 위한 실험 샘플링 생태순간평가 플랫폼 관련 연구
송치헌(ChiHeon Song),노영태(Youngtae Noh) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.11
HCI(Human Computer Interaction)와 인간 중심 연구에서 EMA (Ecological Momentary Assessment) 방법 및 모바일 기기는 떼려야 뗄 수 없는 관계에 있지만 기존의 모바일 기기를 이용한 EMA 샘플링 플랫폼은 높은 비용으로 인해 접근하기 어려웠으며 구축하기에도 어려움이 있었다. 따라서 이 논문은 인간 중심 연구를 위한 EMA 설문 전달에 대해 효율성을 높이고 더 성실한 설문 참여를 독려하는 방식의 새로운 모바일 및 웨어러블 기기용 실험 샘플링 어플리케이션 디자인을 제공한다. In Human Computer Interaction (HCI) and human-centered research, EMA (Ecological Momentary Assessment) methods and mobile devices are inextricably linked, but the existing EMA sampling platform using mobile devices was difficult to access due to high cost and difficult to build. Therefore, this paper presents the design of a novel experimental sampling application for mobile and wearable devices in a way that increases efficiency and encourages more sincere survey participation in the delivery of EMA surveys for human-centered research.