• Title/Summary/Keyword: Pedal

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A Development of Clutch-by-Wire System for Automotive (Clutch-by-Wire 시스템 개발 연구)

  • 나완용
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.3
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    • pp.204-208
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    • 2003
  • This study presents a clutch-by-wire system for automotive which can be utilized on a vehicle with a manual transmission real time while the vehicle is in motion. The system consists of air valve, spring, oil pressure control valve, oil pressure cylinder, switch, etc. In this study, commercial vehicle was studied on improvement of no clutch pedal system. Therefore the results obtained effective driveability, gear shiftability, convenience for driver.

Optimum Design of HST Tractor Pedal System Concerning the Characteristics of HST Unit (HST Unit의 부하특성을 고려한 HST 트랙터 페달 장치의 최적 설계)

  • 한종규;김태영;강영선;남상일
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2003.07a
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    • pp.122-127
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    • 2003
  • 국내에서 사용되는 트랙터는 출력과 상관없이 쟁기 작업을 포함한 농작업, 운반작업 등이 주로 사용되는 편이나, 북미 또는 서유럽의 경우 소형 트랙터는 토목공사의 로더, 굴삭 작업 또는 잔디깍기 등의 농장 및 정원 관리용 등으로 주로 사용되며 쟁기 작업은 거의 하지 않는다. 이와 같은 목적으로 사용하는 트랙터는 견인력을 적게 요구하는 대신 잦은 변속 및 전후진의 방향 전환을 요구하므로, 기계식 트랙터로써는 많은 불편함을 느낄 수밖에 없다. HST 트랙터는 다양한 작업성을 만족시키는 동시에 조작성이 편리하다는 장점이 있다. (중략)

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A study on industrial accident prevention of industrial vehicle using QFD (QFD를 이용한 산업용차량의 산업재해 예방에 관한 연구 -페달과 유압 컨트롤 레버를 중심으로-)

  • Jung Jae-Youn;Park Peom
    • Journal of the Korea Safety Management & Science
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    • v.8 no.2
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    • pp.39-49
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    • 2006
  • Forklift achieves transportation of freight and continues loading and unloading work repeatedly long for hours in industry spot. Therefore, drivers feel tired make a mistake for wrong operation of vehicle caused by continuous work. These components are resulted in CTDs, some industrial accident. That is the forklift need to ergonomics access. So, in this paper, requirements of forklift user were abstracted using questionnaire, produced important design factor for pedal and lever using QFD(Quality Function Deployment), and then suggested ergonomic considerations for industrial accident prevention.

Estimation of Loads applied to a Rider using a static Biomechanical Model. (자전거를 탈때의 정적 생체역학 모형에 관한 연구)

  • 반영환;장필식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.197-204
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    • 1997
  • Torques on each joint, the compression on L5/S1 disc, the force on hand of a rider are estimated using a static biomechnic model. Forces that the rider applies to the pedals, saddle and handle during starting and speeding are estimated using static mechanics. Physical stress is considered accroding to handle height and horizontal distance between handle and pedal. When handle height is higher in normal speeding, the force on handle and sum of torques on each joint decreases.

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Establishment of Design Variable of Leg Stiffness Artificial Tendon Actuator ($LeSATA^{TM}$) for Actual Control in Dorsiflexion of Metatarsophalangeal Joint at the Initial Contact while the Bi-pedal Human Walking : (1) Realization of Lagrangian Equation and Impulsive Constraint (2족 보행시 중족지절관절 초기접지기 배측굴곡의 능동적 통제를 위한 Leg Stiffness Artificial Tendon Actuator($LeSATA^{TM}$)의 설계변수 확립 : (1) Lagrangian 방정식 및 Impulsive Constraint 적용법 구현)

  • Kim, Cheol-Woong;Han, Gi-Bong;Eo, Eun-Kyoung
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2010.11a
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    • pp.651-652
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    • 2010
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Study for Examples of Fire Including Friction with Automotive Clutch, Manual Transmission and Tire System (자동차 클러치, 수동변속기, 타이어 시스템의 마찰에 관련된 화재사례 연구)

  • Lee, Il Kwon;Moon, Hak Hoon;Kim, Jin Jun
    • Journal of the Korean Institute of Gas
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    • v.19 no.3
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    • pp.49-53
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    • 2015
  • The purpose of this paper is to study and analyze the failure examples for fire by friction on clutch, manual transmission and tire system in a car. In the first example, the driver took the pedal with foot to act the clutch. But the clutch disk did not return from flywheel by leakage of clutch hydraulic line. The heat was produced between clutch disk and flywheel by surface contacting. As a result, it was produced the fire by oil sludge sticked with transmission. In the second example, the transmission system was operated to transfer power of engine by contacting with gear and gear. But, as if the oil of transmission was caused the oil insufficiency because of leaking by crack of transmission case, it found the fact that was produced the fire by deposit material on transmission case. In the third example, when the car's driver continuously pushed an accelerator pedal for escaping from dry pit, the tire took the heat by the friction force between tire and surface of road. As a result, it became the direct cause for the fire. Therefore the driver must manage not to produce the fire with friction parts by heating during running.

Driving Performance Evaluation Using Foot Operated Steering System in the Virtual Driving Simulator (가상 운전 시뮬레이터를 이용한 족동 조향 시스템의 운전 성능 평가)

  • Song, Jeongheon;Kim, Yongchul
    • Journal of Biomedical Engineering Research
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    • v.38 no.4
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    • pp.197-204
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    • 2017
  • The aim of this study was to evaluate driving performance of normal subjects for controlling the steering wheel by using foot operated steering devices in the driving simulator. Many people with complete bilateral loss or loss of use of upper limbs but with normal lower limbs are frequently left without use and/ or control of their hands, arms, or the upper extremities of their bodies. As a result, persons disabled in this manner have problems in operation an automobile because they cannot grasp and manipulate a conventional steering wheel. Therefore, if foot operated steering devices are used for controlling the vehicle on in people with disabilities, the disabled people could improve their community mobility by driving a car safely. Ten normal subjects were involved in this research to evaluate steering performance by using three types of steering devices(conventional steering wheel, pedal type foot steering, circular type foot steering) in driving simulator. STISim Drive 3 program was used for testing the driving performance in two road scenarios: straight road and curved road at low and high speed of vehicle (40 km/h and 80 km/h). This study used two-way ANOVA to compare the influences of two factors(type of foot steering device and road scenario) in the three dependent variables of steering performance(standard deviation of lateral position, the lateral position of vehicle and the number of line crossing). The average values of the three dependent variables(standard deviation of lateral position, lateral position and the number of line crossing) of driving performance were significantly smaller for conventional steering wheel or pedal type foot steering than circular type foot steering.

Anomaly Detection in Sensor Data

  • Kim, Jong-Min;Baik, Jaiwook
    • Journal of Applied Reliability
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    • v.18 no.1
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    • pp.20-32
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    • 2018
  • Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.