• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.3
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• pp.47-52
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• 2021

Fine dust generated from vehicle brakes accounts for a significant amount of fine dust from non-exhaust system. Since such brake fine dust contains a large number of heavy metal components that are fatal to the human body, a device capable of collecting them needs to be developed. A mini cyclone, one of the devices that can effectively collect fine dust, has the advantage of relatively simple shape and high collection efficiency. Therefore, in this study, the collection efficiency of the mini-cyclone was numerically analyzed using CFD in order to find out whether such a mini-cyclone is suitable for collecting brake fine dust. As a result, the cut-off diameter was predicted to be about 1.5㎛, which means that the particle trapping load of the filter can be drastically reduced. Therefore, there is a possibility that the mini-cyclone can be used to collect fine dust from disc brakes.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.223-224
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• 2003

포장도로에서 발생되는 미세먼지는 주로 자동차의 운행에 의한 직접 배출되는 입자와 도로 표면에서 비산되는 토양입자 그리고 타이어나 브레이크 패드의 마모에 의한 고무 및 석면 둥 다양한 배출원에 의해 발생되는데, 도로 주변의 배출원에 의해 많은 영향을 받을 것으로 판단된다. (최금찬등, 1996) 특히 인천에는 많은 비산먼지 배출원이 산재하여 있어, 이 들 배출원들의 영향이 여타 대도시보다 클 것으로 판단된다. 따라서, 본 연구에서는 인구와 교통량이 많고 공업활동이 활발한 인천지역의 주요 포장도로(H-ADT: High Average Daily Traffic, 5,000대/일 이상인 도로)에서 채취한 silt를 주거지역, 공업지역, 상업지역, 기타지역별로 채취하여 화학적 성분분석을 통해 지역별 특성을 조사하여, 각 지역 별 포장도로에서의 silt의 기원이 무엇인지를 추정하는 기초자료를 구축하고자하였다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.502-505
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• 2019

노인들이 많이 이용하는 이동 보조 기구인 기존 보행기에 다양한 기능이 부족하여 안전 서비스, 알림 서비스, 스마트폰 애플리케이션 서비스로 분류하여 기능을 추가하였다. 안전 서비스 부문의 기능으로는 경사로 사고 방지 시스템, 장애물 알림 시스템, 밝기에 따른 전조등 시스템, 손잡이에서 손이 떨어지면 자동으로 동작되는 브레이크 시스템, 겨울철 손을 따뜻하게 유지하기 위한 난방 시스템이 있다. 알림 서비스로는 현재의 온·습도 및 미세먼지 농도를 알려준 후 외출하기에 부적합할 시 경고등으로 알려주는 시스템이 있다. 스마트폰 애플리케이션 서비스는 심박 및 체온을 알려주고, 노인의 위치와 SOS신호, 운동량을 알 수 있고, 도난 방지 시스템이 있는 스마트 안전 노인 보행기를 설계하였다.

• Journal of Korean Society of Environmental Engineers
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• v.38 no.8
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• pp.459-467
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• 2016

In order to assess the pollution status and distribution characteristics of PM and PM-bound species, PM10 samples were collected using mini-volume air sampler at the subway cabin in Daejeon city. Measurements of about 24 elements including toxic metals (e.g., As, Cr, Mn, V, Zn) in PM10 were made by instrumental neutron activation analysis and X-ray fluorescence. The average PM10 concentration was $59.3{\pm}14.5{\mu}g/m^3$ in the subway cabin with a range of 42.2 to $97.4{\mu}g/m^3$, while the associated elemental concentrations were varied in the range of $10^{-3}$ to $10^5ng/m^3$. It was found that the concentration of Fe ($12.5{\mu}g/m^3$) was substantially higher than any other element. The Fe concentration was apportioned by about 20% of the PM10 concentration. The results of factor analysis indicate that there are no more than six sources in the cabin (e.g., brake-nonferrous metal particle, resuspended rail dust, fuel combustion, vehicle exhaust, black carbon, Cr-related).

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.727-730
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• 2023

The operation of electric automatic windows is used in harsh environments, and the energy density decreases as charging and discharging are repeated, and as soundness deteriorates due to damage to the internal separator, the vehicle's mileage decreases and the charging speed slows down, so about 5 to 10 Batteries that have been used for about a year are classified as waste batteries, and for this reason, as the risk of battery fire and explosion increases, it is essential to diagnose batteries and estimate SOH. Estimation of current battery SOH is a very important content, and it evaluates the state of the battery by measuring the time, temperature, and voltage required while repeatedly charging and discharging the battery. There are disadvantages. In this paper, measurement of discharge capacity (C-rate) using a waste battery of a Tesla car in order to predict SOH estimation of a lithium-ion battery. A Support Vector Machine (SVM), one of the machine models, was applied using the data measured from the waste battery.