• Title/Summary/Keyword: Tire Tread

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Correlation Study on Tire Belt Adhesion Properties and Durability Performance (타이어의 벨트 부착력과 내구성능 간의 상관성 연구)

  • Hong Seungjun;Lee Hoguen
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.6 s.237
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    • pp.804-808
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    • 2005
  • A pneumatic tire is made up of many flexible filaments of high modulus cord of natural textile, synthetic polymer, glass fiber, or fine hard drawn steel embedded in and bonded to a matrix of low modulus polymetric material. Adhesion property of these materials is very important in tire durability safety because belt-leaving-belt tread separation reduces the ability of a driver to control a vehicle, whether or not the separation is accompanied by a loss of air. In this study adhesion test of carcass-belt-tread is conducted on material properties of 5 PCR tire model, which are on sale in domestic market and analyzed adhesion properties. For those tire models FMVSS 109 indoor high speed durability test is conducted to analyze the correlation between adhesion force and high speed performance of tires and found the correlation between the two test results.

Efficient Tire Wear and Defect Detection Algorithm Based on Deep Learning (심층학습 기법을 활용한 효과적인 타이어 마모도 분류 및 손상 부위 검출 알고리즘)

  • Park, Hye-Jin;Lee, Young-Woon;Kim, Byung-Gyu
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1026-1034
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    • 2021
  • Tire wear and defect are important factors for safe driving condition. These defects are generally inspected by some specialized experts or very expensive equipments such as stereo depth camera and depth gauge. In this paper, we propose tire safety vision inspector based on deep neural network (DNN). The status of tire wear is categorized into three: 'safety', 'warning', and 'danger' based on depth of tire tread. We propose an attention mechanism for emphasizing the feature of tread area. The attention-based feature is concatenated to output feature maps of the last convolution layer of ResNet-101 to extract more robust feature. Through experiments, the proposed tire wear classification model improves 1.8% of accuracy compared to the existing ResNet-101 model. For detecting the tire defections, the developed tire defect detection model shows up-to 91% of accuracy using the Mask R-CNN model. From these results, we can see that the suggested models are useful for checking on the safety condition of working tire in real environment.

Engineering Properties of Tire Treads for Soil Reinforcement (지반보강재로서 타이어 트레드의 공학적 특성)

  • Yoon, Yeowon;Cho, Sungsoo;Kim, Keunsoo
    • Journal of the Korean GEO-environmental Society
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    • v.8 no.1
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    • pp.49-55
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    • 2007
  • In order to utilize treads of waste tire as reinforcement material it is necessary to know the interface friction angle between tread surfaces and soil and tensile strength of connection joint of tire treads. In this research large direct shear tests were performed to get the interface friction angle between the inner and outer surfaces of treads and soil for different degree of compaction. From the large direct shear tests, the ratio of interface friction angle to the shear friction angle of sand, ${\delta}/{\phi}$, were 1.06 in outside surface of tire tread and 0.93 in inside surface of tire tread. For weathered granite soil the ratio of interface friction angle was 0.98 and 0.92 for outside and inside of tread, respectively. Also tensile tests were performed using universal testing machine for the connection joint of treads and Tirecell units using bolts. The tensile strength of connection joint increased with the number of bolts and with the sizes of washers. Connection by polypropylene ropes showed lower strength than those of bolts.

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The Study on the Improvement in Tread Buffing Processing for Recapped Tire for prevention of muscle and skeletal system trouble (근골격계 질환 예방을 위한 재생타이어 트레드 버핑작업 개선에 관한 연구)

  • 김재열;한재호;이연신;김항우;오성민;송경석
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.197-202
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    • 2004
  • As a part of environmental pollution prevention and resources recycling, the regeneration of waste tire has been largely contributed to national industry. But, the worker has been evaded this regeneration process by reason of the best mischievous process condition among 3D industries. So, the first, the process condition of regenerating waste tire was analyzed. The second, the equipment or system was developed for the improvement of working strength and environment. The last, researchers intend to solve these problems

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Development of Tread Buffing Machine for Recapped Tire for prevention of Musculoskeletal System disorder (근골격계 질환 예방을 위한 재생타이어 트레드 버핑머신 개발)

  • 김재열;한재호;이연신;김항우;오성민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.10a
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    • pp.175-180
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    • 2004
  • As a part of environmental pollution prevention and resources recycling, the regeneration of waste tire has been largely contributed to national industry. But, the worker has been evaded this regeneration process by reason of the best mischievous process condition among 3D industries. So, the first, the process condition of regenerating waste tire was analyzed. The second, the equipment or system was developed for the improvement of working strength and environment. The last, researchers intend to solve these problems

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A Study on the Pattern Noise Prediction of Automobile Tire (자동차 타이어 패턴소음 예측에 관한 연구)

  • Kim Byoung-Sam
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.6
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    • pp.68-73
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    • 2005
  • Tire manufactures have dealt with noise problem by varying the pitch of the tread. The various formulas for the variations are generally determined differently, however. Often these variations are based on a combination of trial and error, intuition, and economics. Some manufactures have models and analogs to test tread patterns and their variations. These efforts, however practical, do not determine the best variation beforehand or guarantee the best results. For this reason it was felt that a general mathematical approach fur determining the best variation was needed. Moreover, the method should be completely general, easy to use, and sufficiently accurate. This paper discusses a mathematical method called Mechanical Frequency Modulation(MFM) which meets the above requirements. Thus, MFM pertains to computing an irregular time sequence of events so that the resulting excitation spectrum is shaped to a preferred form. The first part of this paper treats the theoretical basis for computing an optimum variation ; the second part discusses experimental results and simulation program which corroborate the theory.

Influence of Blending Method on the Generation of Wear Particulate Matters and Physical Properties in TBR Tire Tread Compounds

  • Sanghoon Song;Junhwan Jeong;Jin Uk Ha;Daedong Park;Gyeongchan Ryu;Donghyuk Kim;Kiwon Hwang;Sungwook Chung;Wonho Kim
    • Elastomers and Composites
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    • v.58 no.4
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    • pp.161-172
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    • 2023
  • Because particulate matter has emerged as a major contributor to air pollution, the tire industry has conducted studies to reduce particulate matters from tires by improving tire performance. In this study, we compared the conventional blending method, in which rubber, filler, and additives are mixed simultaneously, to the Y-blending method, in which masterbatches are blended. We manufactured carbon black (CB)-filled natural rubber (NR)/butadiene rubber (BR) blend and silica-filled epoxidized NR/BR blend compounds to compare the effects of the two blending methods on the physical properties of the compounds and the amount of particulate matter generated. The Y-blending method provided uniform filler distribution in the heterogeneous rubber matrix, improved processability, and exhibited low rolling resistance. This method also improved physical properties owing to the excellent filler-rubber interaction. The results obtained from measuring the generation of particulate matter indicated that, the Y-blending method reduced PM2.5 particulate matter generation from the CB-filled and silica-filled compounds by 38% and 60%, and that of PM10 by 29% and 67%, respectively. This confirmed the excellence of the Y-blending method regarding the physical properties of truck bus radial tire tread compounds and reduced particulate matter generated.

Tire Tread Pattern Classification Using Fuzzy Clustering Algorithm (퍼지 클러스터링 알고리즘을 이용한 타이어 접지면 패턴의 분류)

  • 강윤관;정순원;배상욱;김진헌;박귀태
    • Journal of the Korean Institute of Intelligent Systems
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    • v.5 no.2
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    • pp.44-57
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    • 1995
  • In this paper GFI (Generalized Fuzzy Isodata) and FI (Fuzzy Isodata) algorithms are studied and applied to the tire tread pattern classification problem. GFI algorithm which repeatedly grouping the partitioned cluster depending on the fuzzy partition matrix is general form of GI algorithm. In the constructing the binary tree using GFI algorithm cluster validity, namely, whether partitioned cluster is feasible or not is checked and construction of the binary tree is obtained by FDH clustering algorithm. These algorithms show the good performance in selecting the prototypes of each patterns and classifying patterns. Directions of edge in the preprocessed image of tire tread pattern are selected as features of pattern. These features are thought to have useful information which well represents the characteristics of patterns.

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Effect of Silica Contents on the Vulcanizates Structure and Physical Properties in ENR/BR Blend Compounds

  • Sanghoon Song;Junhwan Jeong;Donghyuk Kim;Kiwon Hwang;Sungwook Chung;Wonho Kim
    • Elastomers and Composites
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    • v.59 no.1
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    • pp.8-16
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    • 2024
  • As regulations on greenhouse gas emission have strengthened globally, the demand for improved fuel efficiency in automobiles continues to rise. In response, the tire industry is actively conducting research to improve fuel efficiency by enhancing tire performance. In this study, silica-filled epoxidized natural rubber (ENR)/butadiene rubber (BR) blend compounds were manufactured according to ENR types and silica contents, and their physical properties and vulcanizate structure were evaluated. ENR-50, which has a higher epoxide content than ENR-25, exhibited stronger filler-rubber interaction, resulting in superior abrasion resistance. In addition, because of its high glass transition temperature (Tg), the wet grip performance of ENR-50 improved, even though the rolling resistance increased. Increasing the amount of silica had little effect on the abrasion resistance due to the increase in filler-rubber interaction and decrease in toughness. In addition, ENR-50 exhibited better wet grip performance; however, the rolling resistance increased. The results indicated that truck bus radial (TBR) tire tread compounds can be designed by applying ENR-50 to improve wear resistance and wet grip performance. In addition, by applying ENR-25 and reducing the silica contents improve fuel efficiency.

The Study on the Characteristics of Groove Wandering and Noise Caused by the Design Parameter of Longitudinal Groove on the Tire's Pattern (타이어 패턴의 종그루브 인자에 따른 그루브 원더링 및 소음 특성 연구)

  • Han, Jin-Hyuk;Hwang, Sung-Wook;Kang, Yong-Gu;Han, Min-Hyeon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.10 no.5
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    • pp.110-116
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    • 2011
  • Water on a road surface can lower the coefficient of friction of vehicle tires and it involves lots of risks. One way to prevent water from staying is to cut many "rain grooves" into the edges of the pavement parallel. Such grooves, however, can exert unwanted side forces, particularly on passenger tires, which cause "Groove Wander" making the drivers uncomfortable. The "Groove Wander" is somewhat related to vehicle geometry, but is more strongly related to interaction between road grooves and tire tread's longitudinal grooves. This thesis tries to examine principles to estimate "Groove Wandering" effect focusing on the design of longitudinal groove. Additionally, it studied how to reduce pipe resonance longitudinal grooves form in the contact patch.