• Title/Summary/Keyword: AIR 모델

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Design of a Structural Model for Korean Lunar Explorer (한국형 달탐사선 구조모델 설계)

  • Son, Taek-Joon;Na, Kyung-Su;Kim, Jong-Woo;Lim, Jae Hyuk;Kim, Kyung-Won
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.5
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    • pp.366-372
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    • 2013
  • Korean lunar explorer will be launched by korean launcher KSLV-2 in the 2020s in accordance with national space development strategy. Korean lunar explorer is composed of two unmanned orbiter and lander and should be developed as small size and light weight within 550kg of launch mass due to launcher's loading capability. A structure of lunar explorer is required to have sufficient stiffness and strength under launch and operational environment as well as to accommodate mission equipment. This paper describes the result of a preliminary study on structural model design for korean lunar explorer.

The control method on environment in pen using artificial neural network (인공신경망을 이용한 축사 환경 제어 방안)

  • Min, J.H.;Huh, M.Y.;Park, J.Y.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.563-566
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    • 2017
  • In order to prevent livestock diseases and produce the high quality livestock products in the livestock industry, it is necessary to manage the conditions of the livestock farms in the optimal condition. Therefore, these days the research on livestock growth models that analyze the factors of the air environment, the breeding environment, and the numerical rules of livestock in vivo is being carried out to improve and manage the environment in which livestock are kept. However, conventional models of growth are not sufficient to support the decision-making to control complex environment in pen by analyzing and interpreting air environment and breeding environment in a complex way. In this paper, we propose a method to control the complex environment in pen by using artificial neural network model based on biological information, air environment, breeding environment and production information.

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Study of Cure Kinetics of Vacuum Bag Only Prepreg Using Differential Scanning Calorimetry (시차주사열량계를 이용한 진공백 성형 프리프레그의 경화 거동 연구)

  • Hyun, Dong Keun;Lee, Byoung Eon;Shin, Do Hoon;Kim, Ji Hoon
    • Composites Research
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    • v.33 no.2
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    • pp.44-49
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    • 2020
  • The cure kinetics of carbon fiber-reinforced prepreg for Vacuum Bag Only(VBO) process was studied by differential scanning calorimetry (DSC). The total heat of reaction (ΔHtotal = 537.1 J/g) was defined by the dynamic scanning test using prepregs and isothermal scanning tests were performed at 130℃~180℃. The test results of isothermal scanning were observed that the heat of reaction was increased as the temperature elevated. The Kratz model was applied to analyze the cure kinetics of resin based on the test results. To verify the simulation model, the degree of cure from panels using different cure cycles were compared with the measurement. The simulation model showed that the error against the experimental value was less than 3.4%.

Particulate Matter Rating Map based on Machine Learning with Adaboost Algorithm (기계학습 Adaboost에 기초한 미세먼지 등급 지도)

  • Jeong, Jong-Chul
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.2
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    • pp.141-150
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    • 2021
  • Fine dust is a substance that greatly affects human health, and various studies have been conducted in this regard. Due to the human influence of particulate matter, various studies are being conducted to predict particulate matter grade using past data measured in the monitoring network of Seoul city. In this paper, predictive model have focused on particulate matter concentration in May, 2019, Seoul. The air pollutant variables were used to training such as SO2, CO, NO2, O3. The predictive model based on Adaboost, and training model was dividing PM10 and PM2.5. As a result of the prediction performance comparison through confusion matrix, the Adaboost model was more conformable for predicting the particulate matter concentration grade. Although air pollutant variables have a higher correlation with PM2.5, training model need to train a lot of data and to use additional variables such as traffic volume to predict more effective PM10 and PM2.5 distribution grade.

Development of Classification Model on SAC Refrigerant Charge Level Using Clustering-based Steady-state Identification (군집화 기반 정상상태 식별을 활용한 시스템 에어컨의 냉매 충전량 분류 모델 개발)

  • Jae-Hee, Kim;Yoojeong, Noh;Jong-Hwan, Jeung;Bong-Soo, Choi;Seok-Hoon, Jang
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.357-365
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    • 2022
  • Refrigerant mischarging is one of the most frequently occurring failure modes in air conditioners, and both undercharging and overcharging degrade cooling performance. Therefore, it is important to accurately determine the amount of charged refrigerant. In this study, a support vector machine (SVM) model was developed to multi-classify the refrigerant mischarge through steady-state identification via fuzzy clustering techniques. For steady-state identification, a fuzzy clustering algorithm was applied to the air conditioner operation data using the difference between moving averages. The identification results using the proposed method were compared with those using existing steady-state determination techniques studied through the inversed Fisher's discriminant ratio (IFDR). Subsequently, the main features were selected using minimum redundancy maximum relevance (mRMR) considering the correlation among candidate features, and an SVM multi-classification model was devised using the derived features. The proposed method achieves satisfactory accuracy and robustness from test data collected in the new domain.

UAM Parallel Corridor Collision Risk Analysis based on Collision Risk Model (충돌 위험 모델을 활용한 UAM 평행 항로 충돌 위험 분석)

  • Youn-sil Kim;Joong-won Bae
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.561-567
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    • 2023
  • In this study, the collision risk of the UAM (Urban Air Mobility) corridor was analyzed using a collision risk model applied to the manned aircraft corridor. According to the K-UAM roadmap and operating concept, UAM is expected to fly on a designated route similar to existing manned aircraft operations and operate on two routes, traveling back and forth between the departure point and the destination point. Among domestic manned aircraft routes, the manned aircraft operation between Gimpo Airport and Jeju Airport is similar to this and takes the form of a parallel route with a lateral separation distance between the two routes. In this study, we analyzed the collision risk of the UAM corridor according to the lateral separation distance using a collision risk model used to analyze the collision risk of manned aircraft parallel routes for a similar type of UAM corridor. Based on this, we finally analyzed how many parallel routes could be installed within the width of the Han River, considering the K-UAM demonstration route.

A Hydraulic Conductivity Model Considering the Infiltration Characteristics Near Saturation in Unsaturated Slopes (불포화 사면의 포화 부근 침투 특성을 고려한 수리전도도 모델)

  • Oh, Se-Boong;Park, Ki-Hun;Kim, Jun-Woo
    • Journal of the Korean Geotechnical Society
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    • v.30 no.1
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    • pp.37-47
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    • 2014
  • Unsaturated hydraulic conductivity (HC) is integrated theoretically from soil water retention curves (SWRC) by Mualem capillary model, but the prediction of HC is extremely sensitive to small variation of matric suction near saturation. Near saturation, the Mualem HC based on smooth SWRC decreases abruptly and has problems in the reliability of hydraulic behavior and the stability of numerical solutions. To improve van Genuchten-Mualem (VGM) HC, the van Genuchten SWRC model is modified within range of low matric suction (arbitrary air entry pressure). At an arbitrary air entry pressure, the VG SWRC is linearized in log scale until full saturation. The modified VG SWRC does not affect the fit of actual retention behavior and either the parameters of original VG SWRC fit. Using the modified VG SWRC, the VGM HC is modified to integrate for each interval decomposed by arbitrary air entry pressure. An analytical solution on modified VGM HC is proposed each interval, to protect the rapid change in HC near saturation. For silty soils, VGM models of HC function underestimate the unsaturated permeability characteristics and especially show rapid reduction near saturation. The modified VGM model predicts more accurate HC functions for Korean weathered soils. Furthermore, near saturation, the saturated HC is conserved by the modified VGM model. After 2-D infiltration analysis of an actual slope, the hydraulic behaviors are compared for VGM and the modified models. The prediction by the proposed model conserved the convergence of solutions on various rainfall conditions. However, the solution by VGM model did not converge since the conductivity near saturation reduced abruptly for heavy rainfall condition. Using VGM model, the factor of safety is overestimated in both initial and final stage during heavy rainfall. Stability analysis based on infiltration analysis could simulate the actual slope failure by the proposed model on HC.

Development of Flow Visualization Device with Smoke Generator in Learning Wind Tunnel (학습용 풍동의 연기 유동가시화 장치 개발)

  • Lim, Chang-Su;Choi, Jun-Seop
    • 대한공업교육학회지
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    • v.32 no.2
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    • pp.87-103
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    • 2007
  • The purpose of this study was to develop of the smoke flow visualization device of learning wind tunnel, teaching-learning materials in order to demonstrate air-flow around the fluid-flow field qualitatively and understand the resistance concepts of fluid-flow in secondary school. The contents of this study were consisted of the development and experiment of smoke flow visualization for learning wind tunnel. The main results of this study were as follows: First, this developed teaching-learning material here will help students understand the fundamental physical phenomena related with the resistance of fluid and the various patterns of air-flow in the field of transportation technology. Second, flow visualization has shown the same tendency in both of theoretical and experimental patterns. Third, the airfoil model has the smallest wake region meaning resistance against air-flow of circular cylinder and square rod model. Forth, flow separation point at leading edge and wide wake region began to show under the angle of attack of airfoil model ${\alpha}$ is $20^{\circ}$. Fifth, the wake width of the flow field behind a golf ball with dimple became slightly narrower than that without dimple. Sixth, the developed device was made to apply the teaching and learning materials for the experiment and practice in order to increase students' interest and attitude.

Optimization of Growth Environment in the Enclosed Plant Production System Using Photosynthesis Efficiency Model (광합성효율 모델을 이용한 밀폐형 식물 생산시스템의 재배환경 최적화)

  • Kim Keesung;Kim Moon Ki;Nam Sang Woon
    • Journal of Bio-Environment Control
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    • v.13 no.4
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    • pp.209-216
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    • 2004
  • This study was aimed to assess the effects of microclimate factors on lettuce chlorophyll fluorescent responses and to develop an environment control system for plant growth by adopting a simple genetic algorithm. The photosynthetic responses measurements were repeated by changing one factor among six climatic factors at a time. The maximum Fv'/Fm' resulted when the ambient temperature was $21^{\circ}C,\;CO_2$ concentration range of 1,200 to 1,400 ppm, relative humidity of $68\%$, air current speed of $1.4m{\cdot}s^{-1}$, and the temperature of nutrient solution of $20^{\circ}C$. In PPF greater than $140{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, Fv'/Fm' values were decreased. To estimate the effects of combined microclimate factors on plant growth, a photosynthesis efficiency model was developed using principle component analysis for six microclimate factors. Predicted Fv'/Fm' values showed a good agreement to measured ones with an average error of $2.5\%$. In this study, a simple genetic algorithm was applied to the photosynthesis efficiency model for optimal environmental condition for lettuce growth. Air emperature of $22^{\circ}C$, root zone temperature of $19^{\circ}C,\;CO_2$ concentration of 1,400 ppm, air current speed of $1.0m{\cdot}s^{-1}$, PPF of $430{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$, and relative humidity of $65\%$ were obtained. It is feasible to control plant environment optimally in response to microclimate changes by using photosynthesis efficiency model combined with genetic algorithm.

Development of Cabin Temperature Alteration Simulation Model for Position Optimization of Air Conditioner (Part I) (공조장치 위치 최적화를 위한 트랙터 캐빈 온도변화 시뮬레이션 모델 개발 (I))

  • Oh, Joo Seon;Chung, Woo Jin;Park, Seong Un;Park, Young Jun
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.81-81
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    • 2017
  • 본 연구는 전산유체역학(CFD)을 이용하여 트랙터 캐빈 내부의 온도 변화 시뮬레이션 모델을 개발하고 이를 통해 공조장치의 위치를 최적화 하는 것을 목적으로 하였다. 자동차나 열차를 대상으로 시뮬레이션을 이용한 차량 내부의 유동 해석 연구 사례는 많으나, 트랙터를 대상으로 한 연구 사례는 적다. 이에 트랙터의 공조장치를 설계하고 그 성능을 검증할 때 시뮬레이션 모델을 활용한다면, 인력, 시간 등의 손실을 줄일 수 있을 것이다. 본 연구에서는 상용 CFD 프로그램을 활용하여 공조 장치의 위치에 따른 세 가지 트랙터 캐빈 모델을 제작한 뒤, 각각의 모델에 대해서 열 유동 해석을 수행하였다. 시뮬레이션 결과가 실제 트랙터의 시험 결과와 비슷한 경향을 보이고 있음을 확인할 수 있었으며 이를 통해 모델의 적합성을 확인하였다. 또한 세 가지의 캐빈 모델 중 탑승자에게 가장 쾌적한 환경을 제공할 수 있는 모델은 기존의 국내 트랙터와 같은 천정부에 공조 장치가 있는 것이 아니라, 핸들이 있는 전면부에 위치하는 것이 가장 적합하다는 것을 확인할 수 있었다

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