• Title/Summary/Keyword: Tire Model

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Development of Real Time Vehicle Dynamics Models for Intelligent Vehicle HILS (지능형 차량 HILS를 위한 실시간 차량 동역학 모델 개발)

  • Lee, Chang-Ho;Kim, Sung-Soo;Jeong, Wan-Hee;Lee, Sun-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.4
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    • pp.199-206
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    • 2006
  • Real time vehicle dynamics models have been developed with the subsystem synthesis method for intelligent vehicle HILS system. Three different models for solving subsystem equations are compared in order to find out the best suitable model for HILS applications. The first model is based on the generalized coordinate partitioning technique, and the second one is on the approximate function approach, and the last one is on the constraint stabilization method. To investigate the theoretical efficiency of three proposed methods, arithmetic operators used in the formulations of three models are counted. Bump run simulations with half-sine bump have also carried out with three different models to measure the actual CPU time to validate theoretical investigation.

The Modelling of vehicle and Applying the Optimal Design Values of Engine Rubber Mounts (차량의 모델링과 엔진마운트 최적설계값의 적용)

  • 박철희;오진우
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.2
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    • pp.129-143
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    • 1998
  • The vibrations of steering wheel are required to be reduced for convenient ride quality and good controllability. This phenomenon, vibration of steering wheel, is occured by interaction with suspension system, steering system, vehicle body, engine/transmission and tire complicately. But reviewing the current research activities, most researches are performed for the vibration analysis of steering wheel with a simple model, and mot easy to be applied to the variation of each component element connected with steering system as well as that of the steering system. In this study, suspension system and steering system are modelled by the T.L.H. coordinate system which is usually used by a passenger car maker. Also, rigid body motions of engine and elastic motions of vehicle body in the previous study are considered. Derive the equation of motion in 29 d.o.f. and the vibration of steering wheel is analyzed numerically and verify the midelling of steering system by comparison with test results for real car. And then, the optimal design values of the engine mount system obtained from the previous study are applied to the verified steering system model and investigate the effects of various engine mount design values on the vibration of steering wheel.

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Evaluation of Internal Resistance in Asphalt Concretes

  • Zandi, Yousef;Akpinar, Muhammet Vefa
    • International Journal of Concrete Structures and Materials
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    • v.6 no.4
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    • pp.247-250
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    • 2012
  • Composites are somewhat more difficult to model than an isotropic material such as iron or steel due to the fact that each layer may have different orthotropic material properties. In finite element literature the asphalt mixes are represented by using rectangular meshes, not the actual picture of their cross-sections. Asphalt aggregate size and distribution in the asphalt concrete sample, aggregate shape, and fractured surface effects are ignored. In this research, the actual image of the sample including all these effects were directly considered in the finite element. The samples, were cut into cross-sections and were scanned. The image-processing toolbox of Labview was utilized in obtaining the rectangular gray images of the scanned images. In the rectangular sample the aggregates were white and the asphalt binders were black. The grayscale images were converted by LABVIEW into the format required by ANSYS as an input file, with the same dimensions. The nodes at the bottom of the model were constrained in both x and y directions. Left and right edges were symmetry and top was free. Certain amount of pressure was applied along the top surface to simulate the tire pressure.

Improvement of the Steering Feel of an Electric Power Steering System by Torque Map Modification

  • Lee Man Hyung;Ha Seung Ki;Choi Ju Yong;Yoon Kang Sup
    • Journal of Mechanical Science and Technology
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    • v.19 no.3
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    • pp.792-801
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    • 2005
  • This paper discusses a dc motor equipped electric power steering (EPS) system and demonstrates its advantages over a typical hydraulic power steering (HPS) system. The tire-road interaction torque at the steering tires is calculated using the 2 d.o.f. bicycle model, in other words by using a single-track model, which was verified with the J-turn test of a real vehicle. Because the detail parameters of a steering system are not easily acquired, a simple system is modeled here. In previous EPS systems, the assisting torque for the measured driving torque is developed as a boost curve similar to that of the HPS system. To improve steering stiffness and return-ability of the steering system, a third-order polynomial as a torque map is introduced and modified within the preferred driving torques researched by Bertollini. Using the torque map modification sufficiently improves the EPS system.

The NCF Algorithm for the Control of an Electro-mechanical Active Suspension System (전기-기계식 능동 현가장치 제어를 위한 NCF 알고리즘)

  • Han, In-Sik;Lee, Yoon-Bok;Choi, Kyo-Jun;Kim, Jae-Yong;Jang, Myeong-Eon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.20 no.4
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    • pp.1-9
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    • 2012
  • The NCF control algorithm for an active suspension system was proposed and investigated. The NCF algorithm using spring dynamic variation force and suspension relative velocity was applied to the 1/4 vehicle model and numerical analysis was performed. Vehicle's performances such as vehicle displacement, vehicle acceleration, suspension deflection, tire deflection and absorbed power were calculated and compared with those of the passive, semi-active and LQR active suspension system that use full state feedback. Numerical results show that the proposed NCF active suspension system has superior performance compared with the passive and semi-active suspension system and has very similar performance compared with the LQR active suspension system. So the proposed NCF algorithm is considered as a highly practical algorithm because it requires only one displacement sensor in a 1/4 vehicle model.

A study on vibration characteristics of passenger car tire under the static load (정하중을 받는 승용차 타이어의 진동특성에 관한 연구)

  • Moon, Il-Dong;Lee, Tae-Keun;Hong, Dong-Pyo;Kim, Byoung-Sam
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.2
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    • pp.14-22
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    • 1995
  • We treat the vibrations of circular beam and make use of the method employed by J.T.Tielking, which is based on the principle of Hamilton. The Hamilton's principle requires the determinations of the potential and the kinetic energy of the model as well as done by internal pressure forces. Thje potential energy is composed of a part due to elastic deformations of the beam and a part due to radial and tangential displacements of the tread band with respect to the wheel rim. The equations of motion for such a model are derived by reference to conventional energy method. The accuracy of the expressions is demonstrated by comparison of calculated and experimental natural frequencies for circular beam. The circular beam experiences a harmonic, radial excitat- ion acting at a fixed point on the beam. Modal parameters varying the inflation pressure and load are determined experimentally by using the transfer function method.

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Modeling and Verification of Multibody Dynamics Model of Military Vehicle Using Measured Data (실차 측정 정보를 이용한 군용 차량의 다물체 동역학 모델링 및 검증)

  • Ryu, Chi Young;Jang, Jin Seok;Yoo, Wan Suk;Cho, Jin Woo;Kang, E-Sok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.11
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    • pp.1231-1237
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    • 2014
  • It is essential to perform driving performance tests of military vehicles on rough terrain. A full car test is limited by cost and time constraints, because of which a dynamic analysis via computer simulation is preferred. In this study, a vehicle model is developed using MSC.ADAMS, a commercial multibody analysis program, and compared via experiments. FTire is modeled using the results of a tire performance test to obtain the vertical stiffness. A nonlinear damper is modeled by a characteristic experiment. Leaf springs are modeled with beam force elements and consisted to a vehicle model. The vertical force and acceleration response of the wheel are identified when vehicle is passing over a simple bump as well as a sinusoidal road. The developed vehicle model is verified with the results of a full car test.

Research on Overheating Prediction Methods for Truck Braking Systems (화물차의 제동장치에서 발생하는 과열 예측방안 연구)

  • Beom Seok Chae;Young Jin Kim;Hyung Jin Kim
    • Smart Media Journal
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    • v.13 no.6
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    • pp.54-61
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    • 2024
  • Recently, due to the increase in domestic and international online e-commerce platforms and the increase in container traffic at domestic ports, the operating ratio of large trucks has increased, and the number of truck fires is continuously increasing. In particular, spontaneous combustion is the most common cause of truck fires. Various academic approaches have been attempted to prevent truck fires, but due to the lack of research on the spontaneous tire ignition phenomenon that occurs during braking, this research directly designed and manufactured an experimental device to establish an environment similar to the braking system of a truck. A non-contact temperature sensor was installed on the brake device of the experimental device to collect temperature data generated from the brake device. Based on the data collected from the temperature sensor of the brake device and the temperature sensor on the tire surface, the ARIMA model among the time series prediction models was used to Appropriate parameters were selected to suit the temperature change trend, and as a result of comparing and analyzing the measured and predicted data, an accuracy of over 90% was obtained. Based on this, a plan was proposed to reduce the rate of fires in trucks by providing real-time warnings and support for truck drivers to respond to overheating phenomena occurring in the braking system.

Investigation of Pore Water Pressure Variation in Slope during Rainfall from Laboratory Model Tests (실내모형실험을 통한 강우시 사면내 간극수압의 변화 탐구)

  • 김홍택;유한규;강인규;이혁진
    • Proceedings of the Korean Geotechical Society Conference
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    • 2001.03a
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    • pp.199-206
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    • 2001
  • Landslides generally occur due to influences of the internal and external factors. Internal factors include ground characteristics, terrain and so on. External factors can also be divided into natural factors such as rainfall, ground water, earthquake and so on, and artificial factors resulting from cutting and embankments. Among these factors, rainfall becomes the most important external factors by means of which landslides occur in Korea. To appropriately deal with tile effects of pore water pressures due to rainfall, the method using the pore water pressure ratio(r$\_$u/) is generally applied in slope stability analysis or the design of slope reinforcements. Since tire value of r,, is in general not constant over the whole cross section, in most slope stability analyses the average values are used with little loss in accuracy. However, determination of the average values of r$\_$u/ to applied in the design is difficult problem. Therefore, in this study, tile average values of r$\_$u/ according to the intensity of rainfall and slope inclination is suggested based on results of the small scaled model tests using the artificial rainfall apparatus. It is found from the model tests that the average values of r$\_$u/ is about 0.07∼0.18(in case of the intensity of rainfall is 50mm/hr.), about 0.10∼0.28(in case of the intensity of rainfall is 100mm/hr.), and about 0.10∼0.33(in case of the intensity of rainfall is 150mm/hr.).

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Scheduling Generation Model on Parallel Machines with Due Date and Setup Cost Based on Deep Learning (납기와 작업준비비용을 고려한 병렬기계에서 딥러닝 기반의 일정계획 생성 모델)

  • Yoo, Woosik;Seo, Juhyeok;Lee, Donghoon;Kim, Dahee;Kim, Kwanho
    • The Journal of Society for e-Business Studies
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    • v.24 no.3
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    • pp.99-110
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    • 2019
  • As the 4th industrial revolution progressing, manufacturers are trying to apply intelligent information technologies such as IoT(internet of things) and machine learning. In the semiconductor/LCD/tire manufacturing process, schedule plan that minimizes setup change and due date violation is very important in order to ensure efficient production. Therefore, in this paper, we suggest the deep learning based scheduling generation model minimizes setup change and due date violation in parallel machines. The proposed model learns patterns of minimizing setup change and due date violation depending on considered order using the amount of historical data. Therefore, the experiment results using three dataset depending on levels of the order list, the proposed model outperforms compared to priority rules.