• Title/Summary/Keyword: 타이어 모델

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Pattern Noise Prediction for Passenger Car Tire (승용차용 타이어 패턴에 따른 소음 예측 기법)

  • 이승훈
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1987.11a
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    • pp.39-39
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    • 1987
  • 자동차에서 발생되는 소음은 여러 가지 발생원으로부터의 복합적인 것으로서 차량의 속도가 고속화하면서 타이어 소음의 기여도가 매우 커지는 것으로 알려져 있다. 타이어 소음은 근본적으로 노면과 타이어의 상호작용에 의하여 발생되는 데 타이어/노면의 상호작용에 영향을 미치는 인자로는 마모상태, 차량속도, 하중, 공기압, carcass 구조, 타이어 온도등 여러 가지가 있으나 tread 모양과 노면의 상태에 가장 크게 영향을 받는다. 본 연구에서는 승용차용 155SR13 radial 타이어를 대상으로 하여 실내에 설치된 dynamometer를 이용하여 groove 의 개수, groove 길이, groove 폭, groove 깊이, groove 방향 등 트레드 패턴 인자가 발생소음에 미치는 기여도를 실험적으로 측정하고 트레드 패턴형상에 따른 소음도를 예측할 수 있는 실험식을 구했다. 또한 단일 groove 내에서 발생되는 소음의 시간신호를 측정하여 모델화하고 차량속도와 groove 사이의 간격에 따른 시간신호를 합성하고 이 신호로부터 FFT 알고리듬을 통해 소음 spectrum을 구하는 소음 예측 프로그램을 개발하였다. 비교적 단순한 tread 패턴에 대해 이를 적용한 결과 실험적으로 구한 spectrum과 상당히 유사함을 볼 수 있었다.

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현장의 트러블 대책에 대한 소고

  • Lee, Won-Seon
    • The tire
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    • s.101
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    • pp.22-24
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    • 1982
  • 본고는 Polymer Friends지에 게재된 "현장의 트러블 대책"=고무공장의 사례연구(Case Study)에서 밝혀진 오랜 동안의 여러 가지의 현장경험을 토대로 한 고무공장에서의 트러블의 구체적인 예를 종합 정리하여 분석 해 본 것이다. 공장에서의 트러블은 몇 가지의 모델 케이스로 분류할 수 있는 것이 아닌가 하는 점에서 발단되었다.

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Non-pneumatic Tire Design System based on Generative Adversarial Networks (적대적 생성 신경망 기반 비공기압 타이어 디자인 시스템)

  • JuYong Seong;Hyunjun Lee;Sungchul Lee
    • Journal of Platform Technology
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    • v.11 no.6
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    • pp.34-46
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    • 2023
  • The design of non-pneumatic tires, which are created by filling the space between the wheel and the tread with elastomeric compounds or polygonal spokes, has become an important research topic in the automotive and aerospace industries. In this study, a system was designed for the design of non-pneumatic tires through the implementation of a generative adversarial network. We specifically examined factors that could impact the design, including the type of non-pneumatic tire, its intended usage environment, manufacturing techniques, distinctions from pneumatic tires, and how spoke design affects load distribution. Using OpenCV, various shapes and spoke configurations were generated as images, and a GAN model was trained on the projected GANs to generate shapes and spokes for non-pneumatic tire designs. The designed non-pneumatic tires were labeled as available or not, and a Vision Transformer image classification AI model was trained on these labels for classification purposes. Evaluation of the classification model show convergence to a near-zero loss and a 99% accuracy rate confirming the generation of non-pneumatic tire designs.

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Sound Radiation due to Tire Tread Vibration (타이어 트레드의 진동에 의한 음향방사)

  • Kim, Byoung-Sam;Hong, Dong-Pyo;Chung, Tae-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.2
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    • pp.13-22
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    • 1994
  • A theoretical model is studied to describe the sound radiation by the surface vibration of in-service tires. The tire is modeled as a circular ring model. The effects of normalized frequency and structrual loss factor are included. Through numerical integration of the sound pressure, the radiated sound power is calculated as a fuction of normalized frequency and structural loss factor. The basic sound radiation mechanism is shown to be the damped progressive wave field on the structure in the vicinity of the applied force. The results indicate that the potential sound reduction might be obtained if values of normalized frequency and structural loss factor are investigated.

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Tire Imbalance modeling and Measuring System (자동차용 타이어의 중량불균일 모델링 및 측정에 관한 연구)

  • Lee, Ki-Seong;Jeong, Tae-Woon
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2477-2479
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    • 2003
  • 본 연구에서는 타이어의 중량 불균일 측정을 위한 메카니즘의 모델링 및 분석을 통해 로드셀에 의해 샘플링된 신호를 해석하여 불균일량을 측정하는 방법을 제안한다. 진동역학적인 모델을 근거로 신호의 변환과 영향계수의 산출을 통해 정확한 불균형량 측정을 가능하게 하였다.

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Analysis of Commercial Bus Vehicle Collision Accidents (사업용 버스 차량 충돌사고 해석)

  • Han, Inhwan
    • Journal of Korean Society of Transportation
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    • v.32 no.1
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    • pp.63-72
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    • 2014
  • In this paper, characteristics and types of vehicle accidents involving buses that differ from common passenger cars are analyzed. When heavy vehicles are involved in collision accidents, the external impulse conveyed through bus tire from road surface cannot be ignored, so the conventional rigid-body impact model cannot be applied. As a solution, an analysis model which directly considers the tire impulse or considers the bus as moving barrier has been proposed. Also, as there are many instances in which the location of contact point or coefficients related to rotational motion cannot be estimated, utilization of point-mass collision model has been sought. By applying the proposed analysis model to an actual accident case and comparing with the result of the conventional analysis which does not consider the tire impulse, it is shown that the velocity of bus and other values close to the actual amount can be obtained.

A Study on the Dynamic Response of Highway Bridges by 4-Axles Single Truck (4축 단일차량에 의한 도로교의 동적응답에 관한 연구)

  • Chung, Tae-Ju
    • Journal of Korean Society of Steel Construction
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    • v.23 no.3
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    • pp.397-404
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    • 2011
  • In this paper, a research for the dynamic wheel loads of a 3D vehicle model, which relates to a tire-enveloping model, is carried out. A single truck with four axles is modeled as a 10-D.O.F. vehicle by modeling both contact length of tires and pitching of tandem spring axles. The dynamic equations of the vehicle are obtained using the Lagrange's equation, the solution of the equations is calculated by Newmark-${\beta}$ method. The validity of the developed 3D vehicle model is demonstrated by comparing results obtained from the proposed method with those from experimental data. The maximum impact factors of tire force are evaluated according to the various step bumps on which a 24-ton dump truck is running.

A Comparative Study between the Parameter-Optimized Pacejka Model and Artificial Neural Network Model for Tire Force Estimation (타이어 힘 추정을 위한 파라미터 최적화 파제카 모델과 인공 신경망 모델 간의 비교 연구)

  • Cha, Hyunsoo;Kim, Jayu;Yi, Kyongsu;Park, Jaeyong
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.33-38
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    • 2021
  • This paper presents a comparative study between the parameter-optimized Pacejka model and artificial neural network model for the tire force estimation. The two different approaches are investigated and compared in this study. First, offline optimization is conducted based on Pacejka Magic Formula model to determine the proper parameter set for the minimization of tire force error between the model and test data set. Second, deep neural network model is used to fit the model to the tire test data set. The actual tire forces are measured using MTS Flat-Track test platform and the measurements are used as the reference tire data set. The focus of this study is on the applicability of machine learning technique to tire force estimation. It is shown via the regression results that the deep neural network model is more effective in describing the tire force than the parameter-optimized Pacejka model.

F.E. Analysis of the Radial Tire Inflation Using the Hyperelastic Properties of Rubber Compounds Sampled from a Tire (타이어 고무배합물의 초탄성을 고려한 레이디얼 타이어의 팽창에 관한 유한요소해석)

  • 김용우;김종국
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.4
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    • pp.125-134
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    • 2003
  • In this study, Mooney-Rivlin 1st model and Mooney-Rivlin 3rd model are adopted as strain energy density functions of the rubber compounds of a radial tire. It is shown that the FE analysis using Mooney-Rivlin models for rubber compounds may provide good approximations by employing the appropriate strain range of experimental stress-strain data in a way to describe the stress-strain relationship accurately. Especially, Mooney-Rivlin 3rd model gives an accurate stress-strain relationship regardless of the fitting strain range used within the strain of 100%. The static nonlinear FE analysis of a tire inflation is performed by employing an axisymmetric model, which shows that the outside shapes of the tire before and after inflating the tire agree well with those of the real tire. Additionally, the deformations at crown center and turning point on sidewall, distribution of belt cord force, interlaminar shear strain are predicted in terms of variation of belt cord angle which is known as the most influential factor in inflation behavior of a tire.