• Title/Summary/Keyword: emission pattern

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Air Pollutant Emission Characteristics of a Light Duty Diesel Vehicle Affected by Road Infrastructure Improvement and Traffic flow Changes (도로 기반시설 개선과 교통흐름 변화에 따른 소형 경유자동차의 대기오염물질 배출특성)

  • keel, Jihoon;Lee, Taewoo;Lee, Sangeun;Jung, Sungwoon;Yun, Boseop;Kim, Jeongsoo;Choi, Kwangho
    • Journal of ILASS-Korea
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    • v.21 no.4
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    • pp.214-222
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    • 2016
  • Changes in road infrastructure affect driving patterns and pollutant emission characteristics. we analyzed the changes in driving patterns and pollutant emission characteristics of the driving route via measured driving patterns at year 2009 and 2016. Since 2009, there has been an increase in population and traffic demand, including residential areas and industrial facilities. Traffic conditions were improved such as the opening of the highway Inter-Change to Seoul and the construction of underground driveway. As a result, the average vehicle speed increased. More detail comparisons have made on the changes of the underground driveway section and the crossroad section, which are expected to have significant changes in the transportation infrastructure. The vehicle speed distribution of the underground driveway changed from low speed to high speed, and the increase of the time spent at the high speed and high load caused the increase of NOx emissions. The vehicle speed also increased at the crossroad section, and the consequence NOx and $CO_2$ emissions decreased. It is mainly because the decreased time spent at idle, which results from the proper traffic demand management at this area.

Signal Characteristics of Acoustic Emission from Angiosperm and Gymnosperm by the Water Stress (물 스트레스를 받는 속씨식물과 겉씨식물에서 검출된 음향방출의 신호특성)

  • Nam, Ki-Woo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.23 no.5
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    • pp.480-487
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    • 2003
  • To improve environmental control in various plants, signal characteristics of plants have been studied by a nondestructive technique. In this paper, the acoustic emission (AE) from plants was analyzed for water stress dependency. AE signals were taken from gymnosperm and angiosperm. AE sensor detected AE signals from the plant stem underneath the plant surface below the sensor. AE hit-event counts in daytime were more than those in night time, and it was found that the daily hit counts pattern was strongly affected by the water stress in the plant. frequency bands of AE signals from the angiosperm was different from those from the gymnosperm. Frequency bands of AE in outdoor condition were in accord with those in indoor having similar conditions.

Fabrications and properties of ZnS thin film used as a buffer layer of electroluminescent device (전계발광소자 완충층용 ZnS 박막 제작 및 특성)

  • 김홍룡;조재철;유용택
    • Electrical & Electronic Materials
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    • v.7 no.2
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    • pp.117-122
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    • 1994
  • The role of ZnS buffer layer not only suppresses chemical reactions between emission material and insulating material but also alters the luminescence and the crystallinity of the emission layer, if ZnS buffer layer was sandwiched between emission layer and insulating layer of electroluminescent device. In this research, we fabricated ZnS thin film with rf magnetron sputter system by varying rf power 100, 200W, substrate temperature 100, 150, 200, 250.deg. C and post-annealing temperature 200, 300, 400, 500.deg. C and analysed X-ray diffraction pattern, transmission spectra and cross section by SEM photograph for seeking the optimal crystallization condition of ZnS buffer layer. As a result, increasing the rf power, the crystallinity of ZnS thin film was improved. It was found that the ZnS thin film had better properties than anything else when fabricated with the following conditions ; rf power 200W, substrate temperature 150.deg. C, and post-annealing temperature 400.deg. C. ZnS thin film had the transmittance more than 80% in visible range. So it is suitable to use as a buffer layer of electroluminescent devices.

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Quality Evaluation of Resistance Spot Welding using Acoustic Emission (음향방출을 이용한 저항 점용접의 용접 품질평가)

  • Jo Dae-Hee;Rhee Zhang-Kyu;Park Sung-Oan;Cho Jin-Ho;Kim Bong-Gag;Woo Chang-Ki
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.15 no.4
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    • pp.98-104
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    • 2006
  • In this paper, for the purpose of investigation the acoustic emission(AE) behaviors during resistance spot welding process and tension test of spec steels. As the results present the resistance spot welding method that can get suitable welding qualities or structural integrity estimating method. The resistance spot welding process consists of several stages: set-down of the electrodes; squeeze; current flow; forging; hold time; and lift-off. Various types of AE signals are produced during each of these stages. For tensile-shear test and cross tensile test in resistance spot welded specimens, fracture pa 야 ems are produced: tear fracture; shear fracture; and plug fracture. Tensile-shear specimens strength appeared higher than cross tensile specimens one. In case of tensile-shear specimen happened tear fracture that crack happens in most lower plate. Also, in case of cross tensile specimens, upper plate and lower plate are detached perfect fracture was exposed increases a little as acting force is lower than ordinary welding condition. Therefore, the structure which is combined by resistance spot welding confirmed that welding design must attain so that shear stress may can interact mainly.

ACOUSTIC EMISSION CHARACTERISTICS OF STRESS CORROSION CRACKS IN A TYPE 304 STAINLESS STEEL TUBE

  • HWANG, WOONGGI;BAE, SEUNGGI;KIM, JAESEONG;KANG, SUNGSIK;KWAG, NOGWON;LEE, BOYOUNG
    • Nuclear Engineering and Technology
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    • v.47 no.4
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    • pp.454-460
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    • 2015
  • Acoustic emission (AE) is one of the promising methods for detecting the formation of stress corrosion cracks (SCCs) in laboratory tests. This method has the advantage of online inspection. Some studies have been conducted to investigate the characteristics of AE parameters during SCC propagation. However, it is difficult to classify the distinct features of SCC behavior. Because the previous studies were performed on slow strain rate test or compact tension specimens, it is difficult to make certain correlations between AE signals and actual SCC behavior in real tube-type specimens. In this study, the specimen was a AISI 304 stainless steel tube widely applied in the nuclear industry, and an accelerated test was conducted at high temperature and pressure with a corrosive environmental condition. The study result indicated that intense AE signals were mainly detected in the elastic deformation region, and a good correlation was observed between AE activity and crack growth. By contrast, the behavior of accumulated counts was divided into four regions. According to the waveform analysis, a specific waveform pattern was observed during SCC development. It is suggested that AE can be used to detect and monitor SCC initiation and propagation in actual tubes.

Acoustic emission monitoring of damage progression in CFRP retrofitted RC beams

  • Nair, Archana;Cai, C.S.;Pan, Fang;Kong, Xuan
    • Structural Monitoring and Maintenance
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    • v.1 no.1
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    • pp.111-130
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    • 2014
  • The increased use of carbon fiber reinforced polymer (CFRP) in retrofitting reinforced concrete (RC) members has led to the need to develop non-destructive techniques that can monitor and characterize the unique damage mechanisms exhibited by such structural systems. This paper presented the damage characterization results of six CFRP retrofitted RC beam specimens tested in the laboratory and monitored using acoustic emission (AE). The focus of this study was to continuously monitor the change in AE parameters and analyze them both qualitatively and quantitatively, when brittle failure modes such as debonding occur in these beams. Although deterioration of structural integrity was traceable and can be quantified by monitoring the AE data, individual failure mode characteristics could not be identified due to the complexity of the system failure modes. In all, AE was an effective non-destructive monitoring tool that can trace the failure progression in RC beams retrofitted with CFRP. It would be advantageous to isolate signals originating from the CFRP and concrete, leading to a more clear understanding of the progression of the brittle damage mechanism involved in such a structural system. For practical applications, future studies should focus on spectral analysis of AE data from broadband sensors and automated pattern recognition tools to classify and better correlate AE parameters to failure modes observed.

Performance Evaluation for Hydraulic Type Energy Regenerative System (유압식 에너지 회생시스템의 성능평가)

  • Jung, Dong-Soo;Kim, Hyong-Eui;Kang, E-Sok
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.2
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    • pp.136-144
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    • 2006
  • Vehicles usually have 3 types of speed pattern like acceleration, travel, and deceleration. It requires much driving energy from engine while accelerating, preserves much kinetic energy by inertia moment at travel speed, and releases the kinetic energy to the air while decelerating by the break system. If we accumulate the kinetic energy while decelerating and reuse the energy at the accelerating stage, then it can elevate the fuel efficiency, reduce the emission and improve the motive power. This paper proposes a hydraulic type energy regenerative system which converts the kinetic energy into hydraulic energy at the stage of deceleration and reuses it at the starting and accelerating stage of vehicles. The test equipment which has the field condition of city bus was prepared to evaluate the performance for energy regeneration. The test results show that both energy regeneration efficiency and fuel efficiency are improved significantly and the emission is reduced notably.

Pattern Classification of Acoustic Emission Signals During Wood Drying by Artificial Neural Network (인공신경망을 이용한 목재건조 중 발생하는 음향방출 신호 패턴분류)

  • 김기복;강호양;윤동진;최만용
    • Journal of Biosystems Engineering
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    • v.29 no.3
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    • pp.261-266
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    • 2004
  • This study was Performed to classify the acoustic emission(AE) signal due to surface cracking and moisture movement in the flat-sawn boards of oak(Quercus Variablilis) during drying using the principal component analysis(PCA) and artificial neural network(ANN). To reduce the multicollinearity among AE parameters such as peak amplitude, ring-down count event duration, ring-down count divided by event duration, energy, rise time, and peak amplitude divided by rise time and to extract the significant AE parameters, correlation analysis was performed. Over 96 of the variance of AE parameters could be accounted for by the first and second principal components. An ANN analysis was successfully used to classify the Af signals into two patterns. The ANN classifier based on PCA appeared to be a promising tool to classify the AE signals from wood drying.

A Field Measurement Study on Heat Storage/Emission Characteristics of Tower Type Apartment Structures in Winter Season (겨울철 난방시 탑상형 아파트 구조체의 축·방열 특성에 대한 현장측정 연구)

  • Chang, Hyun-Jae;Cho, Keun-Je
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.24 no.2
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    • pp.190-195
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    • 2012
  • In this study, as a complementary study of the former study on indoor thermal environment in a tower type apartment house at tropical nights, a field measurement was conducted in winter season. Mainly, characteristics of heat storage and heat emission in apartment structures, in this study, were investigated. As results, indoor air temperature was changed in the range of $22.5^{\circ}C{\pm}1.0^{\circ}C$, and followed not the change of outdoor air temperature but the changed pattern of floor surface temperature. Wall surface temperature was unresponsive to the change of floor surface temperature compared with the change of indoor air temperature because wall structure was composed of concrete which has large heat capacity, and was changed in the range of $22.3^{\circ}C{\pm}0.6^{\circ}C$. Heat was stored continuously into the structures of wall and ceiling through the measurement term. and this means that a large heat capacity of the apartment structure acts as a disadvantage in winter season, too. As a total review of the study with the former study, a large heat capacity of the apartment structure acts against indoor thermal comfort in winter season as well as in summer season.

Spatial Pattern Analysis of CO2 Emission in Seoul Metropolitan City Based on a Geographically Weighted Regression (공간가중회귀 모형을 이용한 서울시 에너지 소비에 따른 이산화탄소 배출 분석)

  • Kim, Dong Ha;Kang, Ki Yeon;Sohn, So Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.2
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    • pp.96-111
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    • 2016
  • Effort to reduce energy consumptions or CO2 emissions is global trend. To follow this trend, spatial studies related to characteristics affecting energy consumptions or CO2 emissions have been conducted, but only with the focus on spatial dependence, not on spatial heterogeneity. The aim of this study is to investigate spatial heterogeneity patterns of CO2 emission based on socio-economic factors, land-use characteristics and traffic infrastructure of Seoul city. Geographically Weighted Regression (GWR) analysis was performed with 423 administrative district data in Seoul. The results suggest that population and employment densities, road density and railway length in most districts are found to have positive impact on the CO2 emissions. Residential and green area densities also have the highest positive impact on CO2 emissions in most districts of Gangnam-gu. The resulting model can be used to identify the spatial patterns of CO2 emissions at district level in Seoul. Eventually it can contribute to local energy policy and planning of metropolitan area.