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다이어프램 타입 펌프 소형화 개발을 위한 설계 인자 최적화 연구
김성훈(Sunghoon Kim),이인호(Inho Lee),양태형(Taehyoung Yang),강구창(Guchang Kang) 한국자동차공학회 2019 한국자동차공학회 학술대회 및 전시회 Vol.2019 No.11
A convenience device for a vehicle seat using a pneumatic adjuster system, which is a new structure based on the diaphragm type motor pump. We are doing operating pressure, flow rate, noise, and reliability test about pump performance. This device is fully integrated so we can reduce core parts size and weight of pump. As a result, this device applies to various seat parts like lumbar support or others. There are several types of pneumatic adjuster system but most of systems are imported from abroad. This document shows system localization and improvement of existing diaphragm type pump.
시트 터치 팝업 스위치의 정전용량 센서 감도 분석 연구
송현석(Hyunseok Song),김범순(Beomsun Kim),양태형(Taehyoung Yang),이승규(Seungkyu Lee) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
As the customer requirements for convenience in the vehicle increase today, the number of parts for passenger convenience and comfort functions is also increasing in the seats in the vehicle. To operate these seat function components, the seat switch consists of a variety of knobs and buttons. However, the seat switch is located on the side of the seat, so it is not easy for passengers to locate the knob and buttons due to a small space, and due to confusion about the function, it is also ranked at the top of the complaint in the JDP research. Therefore, to improve seat switch cognition, a constant capacity sensor in the switch is applied to measure the signal changes caused by contact with the switch knob of the passenger, and a system is constructed to determine whether or not to contact the passenger. The reliability of the system is ensured through comparative evaluation of actual conditions of use, such as foreign substance evaluation.
송봉기(Bonggi Song),신성환(Seonghwan Shin),권민석(Minsuk Kwon),이인호(Inho Lee),양태형(Taehyoung Yang),송현석(Hyunseok Song) 한국자동차공학회 2016 한국자동차공학회 학술대회 및 전시회 Vol.2016 No.11
The smart headrest can detect gap between driver`s head and headrest. It is required that a technique calculate an optimal target distance. In this paper we study the characteristics of the sensor the underlying technology that can detect the distance between the driver`s head and the headrest. We suggest the 2 Channel sensor and 3 channel sensor using capacitive sensor. We use upper sensor, lower sensor and shoulder sensor. The 2 channel sensor consists of only upper sensor and lower sensor. We compare and evaluate the properties of each sensor. By the result, We know that the 2 channel pattern detection area is large and it was confirmed to be suitable for smart headrest.