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RISS 인기검색어
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- 저자 : 조기순(Kisoon Cho) (검색결과 5 건)
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DFSS 기법을 이용한 EPS 소음/진동 인자 분석 및 강건 설계 방안
정태구(Taegu Jung),조기순(Kisoon Cho),정봉구(Bonggoo Jeong),임태서(Taeseo Lim) 한국자동차공학회 2015 한국자동차공학회 부문종합 학술대회 Vol.2015 No.5
Recently, most of the steering system applied to vehicle is the EPS system using a motor. EPS can make the driver comfort and safe by providing proper steering performance on various driving condition. As the role and function of the EPS rises, the necessity of the EPS optimization design will be considered as an important task to increase the vehicle performance and customer satisfaction. But there are many EPS system during development due to mismatch among sub-systems and it causes extra resources such as cost and time. So steering system requires systematic design strategy and also to meet the requirement of functional safety(ISO 26262). Firstly, we analyzed issue histories such as vibration and noise by using DFMEA, then derived factors which influence on EPS system. The scope for each factors was determined by the tuning parameter of the EPS Module, Operation logic, and Performance calibration which are sub-system of EPS. The selected factors were derived by DFSS and were able to come up with a Robust Design for the EPS system by optimizing the main factor.
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범현균(Hyenkyun Beom),김요셉(Joseph Kim),조기순(Kisoon Cho),이호기(Hoki Yi) 한국자동차공학회 2014 한국자동차공학회 부문종합 학술대회 Vol.2014 No.5
This paper statistically reviewed for the USNCAP frontal crash test results carried out by NHTSA. Vehicle samples were selected on total 20 vehicles which were included on 15 MPV&SUV and 5 Pickup. The results was summarized as followings. The driver’s performance was better than the passenger’s in the average sense. There are several differences between driver and passenger in the USNCAP front test, for example dummy size, seating position, airbag style. Main effect was Neck injury for crash performance on both dummies for the average value. Root cause of neck injury was different for each dummy, ie, the driver caused from Nte & Ntf, but the passenger did absolutely Nte mode. Reliability is dependent upon chest injury on the driver and neck injury on the passenger from the standard deviation. Restraint system was also summarized.
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김요셉(Joseph Kim),고유석(Yuseok Ko),선주형(Juhyoung Sun),윤나영(Nayoung Yoon),조기순(Kisoon Cho) 한국자동차공학회 2014 한국자동차공학회 부문종합 학술대회 Vol.2014 No.5
As the number of vehicles is increasing, the number of accidents is also increasing. Recently, customers are requiring safer vehicles, so vehicle makers are equipping not only the frontal airbags but also side airbags. Many countries regulate the vehicles safety and develop the NCAP with more severe criteria. To meet these customer requirements and NCAP criteria, it is important to deploy the airbags properly. Side crash sensors are needed to deploy the side airbags. In this study, the method for selecting the robust position of crash sensors at C-pillar was proposed using DFSS methods. First, 4 points were selected with consideration of other parts like holes and harness. Then CAEs with various MDB were performed and get acceleration data from selected points. Each pulses were scaled with ±10% and velocities of each pulse were calculated. From theses velocity, The time when the velocity crossed threshold was used for TTF(Time to Fire). Because faster times of airbag deployment were usually required, DFSS was performed as ‘smaller the better’ criteria. The selected point was verified with 2nd row pole test. In conclusion, response of C-pillar acceleration sensors were better than acceleration from B-pillar sensor and robust position could be selected with this DFSS method.
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김요셉(Joseph Kim),윤나영(Nayoung Yoon),이재우(Jaewoo Lee),조기순(Kisoon Cho) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
Airbags have improved the performance of adults occupant safety. However children who sit in front passenger seats have got fatal injuries. Due to this risk of airbags to children, National Highway Transportation and Safety Administration has made vehicles equipped with Automatic Suppression Systems. These systems detect the passenger status such as adults, children and CRS. Using this information of passenger status, Sensing & Diagnosis Module makes decision whether passenger front airbag is suppressed or deployed. In this paper, Performance and qualities of two types of passenger sensing systems were compared. One uses pattern recognition system and the other uses weight recognition system. Pattern recognition system uses pressure distribution pattern of occupant and weight recognition system uses weight of occupant to classify the occupants. In this research, Sensors of pattern recognition system were located on top of cushion but sensors of weight recognition system were behind cushion foam. In order to measure the performance, correct decision ratio of 5th%ile was used and quality index was used for defining the qualities. The results showed that average correct decision ratio of pattern recognition system and weight base system were 98.84% and 98.52% respectively. Both systems had good performance but positions of 5th%ile which have incorrect decision were different. In order to compare the quality, quality index was used. Quality index was measured by the incidents ratio from fields. When this index of pattern recognition system is 100%, the index of weight recognition system was 40%. Both systems had good enough qualities but weight recognition system was better because it seemed that sensor location of weight recognition system is under cushion of seats.
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