• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회A
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• pp.1658-1662
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• 2007

The tire uneven wear has been an ongoing concern for a long time, and one of customer's complaints too. This paper deals with uneven wear improvement of passenger car tires, to have tested the tire wear levels by each wheel alignment set (according to changing toe and camber) using taxis. The pre-set wheel alignments on test vehicle were gained by energy friction simulation of tire. The result of this experiment was as follows : First, verified the effects of initial wheel alignment (adjusted at Curb Vehicle Weight) to minimize tire uneven wear. Second, tire uneven wear makes tire life much shorter than even wear does.

• 폴리머
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• 제29권1호
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• pp.48-53
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• 2005

타이어 마모는 자동차 드라이버들의 주요 관심 사항 중의 하나일 뿐만 아니라 타이어의 수명과 밀접하게 관련되어 있다. 자동차 타이어의 사용 조건들은 여러 가지 요인들이 함께 작용하기 때문에 타이어 마모에 대해 명확하게 규명하는 것은 쉽지 않다. 따라서, 타이어 마모를 평가하기 위해서는 실제 사용 조건에서의 마모 평가가 필요하다. 타이어의 수명과 밀접한 관련이 있는 마모를 평가하기 위하여 정해진 가혹한 주행 조건을 갖는 dedicated test를 통하여 마모 성능 시험을 실시하였다. 타이어 마모에 영향을 미치는 많은 인자들을 단순화시키기 위하여 정해진 운전자의 가혹도로 시험함으로써 운전자의 운전 습관에 따른 영향을 최소화하였다. 마모와 관련이 있는 노선 가혹도의 영향을 확인하기 위하여 노선 별로 횡가속도를 측정하여 얻어진 driving severity number(DSN)을 이용하여 DSN에 따른 타이어의 마모율과 마모 양상에 대해 비교해 보았다. 이러한 dedicated treadwear test 결과를 제공함으로써 타이어 마모 성능을 만족시키기 위한 설계에 유용한 자료를 제공할 수 있다.

• Tribology and Lubricants
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• 제23권5호
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• pp.228-233
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• 2007

This paper presents the case studies on the friction related wears of an automotive tire, which is strongly connected to the safety and comfort of a driver during a running of a car. Wear scars of a tire tread are affected by various causes such as an air pressure, a wheel alignment, a driving speed, road conditions, starting and braking habits of a driver. The data were collected from used tires for a replacement at the car service center. Most of the wear problems came from the improper repair and adjustment of revolving components, which cause an unbalanced wear of a tread part of a tire. Thus, the regular checking of a tire radically reduces the wear scars of a tire and may increase a driving safety and a fuel economy of a car and a wear life of a tire.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.346-349
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• 2015

일반적으로 타이어의 마모도나 비정상적인 마모를 알아보기 위해서는 운전자나 정비사가 직접 타이어를 육안으로 타이어의 마모도 및 타이어의 이상 여부를 확인하거나, 측정 게이지 장비를 이용한 방법을 이용한다. 이러한 방법은 개개인의 주관적인 판단이 들어가거나 시간적인 부담과 휠 얼라인먼트 장비를 사용하는 비용을 지불하게 되어 운전자가 받는 부담을 더욱 클 수밖에 없다. 그래서 본 논문에서는 이상마모와 타이어의 마모도를 체크 하고자 복수개의 레이저 센서를 이용하여 각 타이어마다 이상마모와 타이어의 마모도를 체크하고 타이어의 정보를 알기 위해 타이어의 옆면을 체크 하는 시스템을 개발하여 주관적인 판단을 극복하고 객관적이고 정확한 판단을 내릴 것이다.

• Elastomers and Composites
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• 제56권1호
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• pp.1-5
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• 2021

Tire and road wear particles (TRWPs) were collected from road dust and thermogravimetric analysis (TGA) was performed to measure the content of tire wear particles (TWPs) in the TRWPs. The TGA thermograms of TRWPs showed two weight loss steps associated with polymer decomposition including weight loss after 480℃ which may be due to road wear particles. Different samples gave different TGA thermograms because the types and contents of the road wear particles attached to the TWPs should be different from each other, and each TWP might have different composition. The TGA results of the model asphalt pavement wear particles, with (volatile organics + polymers + carbon black) : ash = 33.5 : 66.5, was applied to the TRWP results, and the TWP contents of TRWPs were found to be 50-65%. The zinc oxide content in the rubber compound was negligible.

• 한국건설순환자원학회논문집
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• 제9권4호
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• pp.561-568
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• 2021

본 연구에서는 타이어 마모성능에 따른 타이어 마모입자 생성량 및 도로변 미세먼지 물질로써 타이어 소재와 도로 포장체 구성 성분의 정량화 분석을 위한 기초적 연구를 수행하였다. 이에, 타이어 트레드 부위 고무의 가황제/가황촉진제의 사용비를 달리하여 고무배합물을 제조하였다. 제조된 고무배합물의 물성 평가 결과 가황제/가황촉진제의 사용비가 증가할수록 가교밀도는 감소하여 마모성능이 불리한 조건임을 확인하였다. 밀폐된 실내 마모시험기에서도 가교밀도가 감소할수록 타이어 마모입자 생성량은 증가하였고, 손실량 100% 대비 84~86%의 타이어 마모입자를 포집할 수 있었다. 타이어 마모입자 중, 96.4~97.7% 분산, 2.3~3.6% 비산되는 것으로 평가되었다. 포집된 타이어 마모입자의 화학분석 결과, 타이어의 마모성능에 따라 타이어 마모입자 내 타이어와 도로 구성 성분 비율(63 : 37 → 75 : 25)이 변화됨을 확인 할 수 있었다. 본 연구에서는 타이어 마모성능에 따라 타이어 마모입자 발생에 대한 영향성을 관찰하기 위하여 실제 도로 현장의 조건 대비 가혹한 실내 마모환경으로부터 실험을 수행하였다. 이에 타이어 마모입자 발생이 도로 포장체 성분보다 더 높은 함량으로 분석되었다. 추후 실제 도로 환경에서 완제품 타이어와 실제 차량을 이용하여 자동차 도로변 미세먼지 저감을 위한 실증화 연구 방법을 도출할 계획이다.

• 한국멀티미디어학회논문지
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• 제24권8호
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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.

• 한국산업융합학회 논문집
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• 제23권2_2호
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• pp.163-171
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• 2020

The condition of tire tread is a key parameter closely related to the driving safety of a vehicle, which affects the contact force of the tire for braking, accelerating and cornering. The major factor influencing the contact force is tread wear, and the more tire tread wears out, the higher risk of losing control of a vehicle exits. The tire tread condition is generally checked by visual inspection that can be easily forgotten. In this paper, we propose the intelligent tire (iTire) system that consists of an acceleration sensor, a wireless signal transmission unit and a tread classifier. In addition, we also presents classification algorithm that transforms the acceleration signal into the frequency domain and extracts the features of several frequency bands as inputs to an artificial neural network. The artificial neural network for classifying tire wear was designed with an Multiple Layer Perceptron (MLP) model. Experiments showed that tread wear classification accuracy was over 80%.

• Elastomers and Composites
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• 제56권2호
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• pp.85-91
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• 2021

In this study, different types and shapes of various particles produced on the asphalt pavement road were analyzed. Road dust at a bus stop was collected and was separated as per their sizes by using a sieve shaker. Tire-road wear particles (TRWPs), asphalt pavement wear particles (APWPs), mineral particles, plant-related particles, glass beads, glass particles, road paint wear particles, plastic particles, and fibers were observed herein. The types and shapes of the particles varied depending on their sizes. TRWPs larger than 500 ㎛ were not observed. TRWPs with a size of 212-500 ㎛ were rarely present, but many TRWPs with a size smaller than 212 ㎛ were observed. APWPs were observed for whole-particle sizes of below 1,000 ㎛. A variety of particles on the road would lead to lower friction between the tires and the road, thereby increasing the braking distance of vehicles. Most of the particles include mineral particles, glass particles, and APWPs with rough surfaces. Therefore, the abrasion of the tire tread would accelerate owing to friction with the tough particles.

• 한국대기환경학회지
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• 제28권2호
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• pp.131-141
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• 2012

A large fraction of urban $PM_{10}$ concentrations is due to non-exhaust traffic emissions including road dust, tire wear particles, and brake lining particles. Although potential health and environmental impacts associated with tire wear debris have increased, few environmentally and biologically relevant studies of actual tire wear debris have been conducted. Tire wear particles (TWP) are released from the tire tread as a result of the interaction between the tire and the pavement. Roadway particles (RP), meanwhile, are particles on roads composed of a mixture of elements from tires, pavements, fuels, brakes, and environmental dust. The main objective of present study is to identify the contribution of tires to the generation of RP and to assess the potential environmental and health impacts of this contribution. First, a mobile measurement system was constructed and used to measure the RP on asphalt roads according to vehicle speed. The equipment of the mobile system provides $PM_{10}$ concentrations by Dusttrak DRX and number density & size distribution measurements of fine and ultra-fine particles by a fast mobility particle sizer (FMPS) and an aerosol particle sizer (APS). When traveling on an asphalt road at constant speed, there is a clear tendency for $PM_{10}$ concentration to increase slightly in accordance with an increase in the vehicle speed. It was also found that considerable brake wear particles and particles from tire/road interface were generated by rapid deceleration of the vehicle. As a result, the $PM_{10}$ concentration and particle number of ultra-fine particles were measured to be very high.