• Title/Summary/Keyword: combustion model

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Effects of Warm Needling on the Acute Knee Arthritis Induced by Carrageenan in Rats (흰쥐에서 carrageenan 유발 급성(急性) 슬관절염(膝關節炎)에 대한 혈위별(穴位別) 온침자극(溫鍼刺戟)의 효과(效果))

  • Jang, Jae-Young;Kwon, Oh-Sang;Kim, Young-Sun;Kim, Jae-Hyo;Kim, Yu-Ri;Ahn, Seoung-Hoon;Sohn, In-Chul
    • Korean Journal of Acupuncture
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    • v.26 no.2
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    • pp.75-89
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    • 2009
  • Objectives: Warm needling combines simultaneously the effects of acupuncture and moxibustion. This study was to investigate whether warm needling could relieve acute knee arthritis induced by carrageenan in rats. Methods: To illuminate the underlying mechanisms of the warm needling-induced antinociception, weight bearing force (WBF) was observed on the acute knee arthritic rat model. Under general anesthesia, ST36, SP9, Hakjung extra point, LI4 were punctured and stimulated with 30 mg moxa ball combustion on top of the needle (${\emptyset}0.18{\times}8mm$). Results: In behavioral test, rats subsequently showed a reduced stepping force of the affected limb 3 hours after the induction of arthritis. Warm needling on the contralateral or ipsilateral ST36 failed to show antinociceptive effect on the acute knee arthritis. Warm needling on the contralateral SP9 or LI4 increased WBF values to normal level in the acute stage of the arthritis. Warm needling on the Hakjung extra-point resulted in the significant antinociceptive effects through acute stage. These effects of warm needling were suppressed by opioids receptor antagonist naltrexone (10 mg/kg, i.p.) and alpha adrenoceptor antagonist phentolamine (5 mg/kg, i.p.). Conclusion: The data suggest that warm needling-induced antinociception is differently mediated by acupoints and accomplished by activating the descending inhibitory systems including endogenous opioids and $\alpha$-adrenoceptors.

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A Preliminary Configuration Design of Methane/Oxygen Bipropellant Small-Rocket-Engine through Theoretical Performance Analysis (이론성능해석에 의한 메탄/산소 이원추진제 소형로켓엔진의 예비형상설계)

  • Bae, Seong Hun;Jung, Hun;Kim, Jeong Soo
    • Journal of the Korean Society of Propulsion Engineers
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    • v.19 no.3
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    • pp.47-53
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    • 2015
  • Design parameters required for Methane/oxygen bipropellant small-rocket-engine were derived through a theoretical performance analysis. The theoretical performance of the rocket engine was analyzed by using CEA and optimal propellant mixture ratio, characteristic length, and optimal expansion ratio were calculated by assuming chemical equilibrium. A coaxial-type swirl injector was chosen because of its outstanding atomization performance and high combustion efficiency compared to other types of injector and also a bell nozzle with 80% of its full length was designed. The rocket engine configuration with 1.72 MPa of chamber pressure, 0.18 kg/s in total propellant mass flow, and O/F ratio of 2.7 was proposed as a ground-firing test model.

Development of Gas Turbine Engine Simulation Program Based on CFD (CFD 기반 가스터빈 엔진 모사 코드 개발)

  • Jin, Sang-Wook;Kim, Kui-Soon;Choi, Jeong-Yeol;Ahn, Iee-Ki;Yang, Soo-Seok;Kim, Jae-Hwan
    • Journal of the Korean Society of Propulsion Engineers
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    • v.13 no.2
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    • pp.42-53
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    • 2009
  • Gas turbine engine simulation program has been developed. In compressor and turbine, 2-D NS implicit code is used with k-$\omega$ SST turbulent model. In combustor, 0-D lumped method chemical equilibrium code is adopted under the limitations, the products are only 10 species of molecular and air-fuel is perfectly mixed state with 100% combustion efficiency at constant pressure. Fluid properties are shared on interfaces between engine components. The outlet conditions of compressor have been used as the inlet condition of combustor. The inlet condition of turbine comes from the compressor The back pressure in compressor outlet is transferred by the inlet pressure of turbine. Unsteady phenomena at rotor-stator in compressor and turbine is covered by mixing-plane method. The state of engine can be determined only by given inlet condition of compressor, outlet condition of turbine, equivalence ratio and rotating speed.

Energy Efficiency Improvement and Field Scale Study of Crematory using Computation Fluid Dynamics (전산유동해석을 통한 화장로의 에너지 효율개선 및 실증연구)

  • Won, Yong-Tae;Lee, Seung-Mok
    • Applied Chemistry for Engineering
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    • v.30 no.1
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    • pp.95-101
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    • 2019
  • The cremation rate of Korea in 2016 was 82.7% which is four times greater than 20.5% in 1994. As increasing the cremation rate gradually, it cause a shortage of cremation facilities resulting in building more cremation facilities to meet the increasing inquiries on cremation or a large amount of fuels for the longer operation of the crematory. In this study, the crematory system optimizing its thermal efficiency characteristics and also responding to increasing inquiries on cremation was proposed in order for solving such problems, In particular, the heat flow characteristics including a heat transfer coefficient by performing a simulation using computational fluid dynamics (CFD) was investigated. The CFD model was validated with on-site experiments for a cremation facility. As a result of the simulation, the fuel consumption decreased nearly 25% and residence time increased in the main combustor. Also, the improved crematory was constructed with an expanded combustor, heat exchanger, second combustion air system, refractory and insulation material. From on-site experiments, the energy consumption was saved to approximately 54.4%, while the burning time reduced nearly 20 minutes.

Demand Analysis of Electric Vehicle by Household Type (전기자동차의 가구유형별 수요에 대한 고찰)

  • Kim, Won Suk;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.6
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    • pp.933-940
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    • 2018
  • The conversion of the internal combustion engine vehicle to the electric vehicle is suggested as a solution to the problem of global climate change and environmental pollution. Accordingly, this study was started to promote the use of electric vehicles. The purpose of this study is to identify the basic background knowledge and current status of electric vehicles in Korea and abroad, and expand from previous understanding on which factors affect ones choice on electric vehicles by considering individual characteristics and context in detail. In the analysis, a set of demand forecasting models were constructed by grouping the respondents based on the household characteristics as well as the vehicle ownership. At the time in need for better understanding of the feasibility of electric vehicles, it is expected that the research can assist the promotion of electric vehicles. In the follow-up study, I would like to continue the research on the activation of electric vehicles.

Evaluation of Blast Pressure Generated by an Explosion of Explosive Material (폭발성 물질의 폭발에 따른 폭발압력 평가)

  • Yoon, Yong-Kyun
    • Explosives and Blasting
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    • v.36 no.4
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    • pp.26-34
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    • 2018
  • Explosions of vapor cloud formed due to the leakage from installations with flammable fuels have often occurred in Korea and foreign countries. In this study, TNT equivalency method and Multi-Energy method for vapor cloud explosion blast modelling are described and demonstrated in a case study. As TNT equivalency method is simple and direct, it has been widely used for modelling a vapor cloud explosion blast. But TNT equivalency method found to be difficult to select a proper correlation between the amount of combustion energy produced from the vapor cloud explosion and the equivalent amount of TNT to model its blast effects. Multi-Energy method assumes that the strength of vapor cloud explosion blast depends on the layout of the space where the vapor cloud is spreading. Strictly speaking, the explosive potential of a vapor cloud is dependent upon the density of the obstructed regions. In this study, Flixborough accident are analyzed as a case study to assess the applicability of TNT equivalency method and Multi-Energy method. TNT equivalency method and Multi-Energy method found to be applicable if coefficient of TNT equivalency and coefficient of strength of explosion blast are selected properly.

Thermochemical Modeling Factors in Roasting Pre-treatment using a Rotary Kiln for Efficient Vanadium Recovery (바나듐의 고효율 회수를 위한 배소 전처리용 Rotary kiln 내 열화학적 모델인자)

  • Lee, Sang-hun;Chung, Kyeong Woo
    • Resources Recycling
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    • v.31 no.2
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    • pp.33-39
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    • 2022
  • In this study, analytical thermochemical modeling factors that contribute to maintaining a specific temperature range during vanadium roasting as a pretreatment using a rotary kiln are investigated. The model-related mechanisms include thermochemical reaction rates, heat balance, and heat transfer, through which the resultant temperature can be estimated intuitively. Ultimately, by optimizing these parameters, the ideal roasting temperature in the kiln is ≈1000 ℃ (or ≈1273 K) for long-term operation. Therefore, the heat generated from hydrocarbon (natural gas) fuel combustion and ore oxidation reactions, as well as the radiant heat transferred to ores, are assessed. In addition, thermochemical methods for relieving the temperature gradient in order to maintain the optimum temperature range of the rotary kiln are suggested.

Computational Study on the Application of Porous Media to Fluid Flow in Exhaust Gas Scrubbers (배기가스 세정장치내 유체 유동에 대한 다공성 매질 적용 기반의 전산해석적 연구)

  • Hong, Jin-pyo;Yoon, Sang-hwan;Yoon, Hyeon-kyu;Kim, Lae-sung;An, Jun-tae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.1-10
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    • 2022
  • Exhaust gases emitted from internal combustion engines contain nitrogen oxides (NOx) and sulfur oxides (SOx), which are major air pollutants causing acid rain, respiratory diseases, and photochemical smog. As a countermeasure, scrubber systems are being studied extensively. In this study, the pressure drop characteristics were analyzed by changing the exhaust gas inflow velocity using a scrubber for a 700 kW engine as a model. In addition, the fluid flow inside the scrubber and the behavioral characteristics of the droplets were studied using CFD, and the design compatibility of the cleaning device was verified. Flow analysis was performed using inertial and viscous resistances by applying porous media to the complex shape of the scrubber. The speed of the exhaust passing through the outlet nozzle from the inlet was determined through the droplet behavior analysis by spraying, and the flow characteristics for the pressure drop were studied. In addition, it was confirmed through computational analysis whether there was a stagnation section in the exhaust gas flow in the scrubber or the sprayed droplets were in good contact with the exhaust gas.

Two Spool Mixed-Flow Turbofan Engine Performance Analysis Modeling (2 스풀 혼합흐름 배기방식 터보팬 엔진 성능해석 모델링)

  • Seungheon Lee;Hyoung Jin Lee;Sangjo Kim;Gyujin Na;Jung Hoe Kim
    • Journal of the Korean Society of Propulsion Engineers
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    • v.27 no.1
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    • pp.37-48
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    • 2023
  • In this study, performance analysis modeling of two spool mixed flow type turbofan engine according to steady-state and transient is performed. The target engine is selected as F100-PW-229 from Pratt & Whitney, and main engine components including fan, high pressure compressors, combustion, high pressure turbines, low pressure turbines, mixer, convergent-divergent nozzle are modeled. The cooling effect of turbine through secondary flow path are considered in engine simulation model. We develop in-house Matlab/Simulink-based engine performance analysis program capable of analyzing internal engine state and compare it with GASTURB which is generally used as a commercial engine analysis program.

Development of a Polytropic Index-Based Reheat Gas Turbine Inlet Temperature Calculation Algorithm (폴리트로픽 지수 기반의 재열 가스터빈 입구온도 산출 알고리즘 개발)

  • Young-Bok Han;Sung-Ho Kim;Byon-Gon Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.3
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    • pp.483-494
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    • 2023
  • Recently, gas turbine generators are widely used for frequency control of power systems. Although the inlet temperature of a gas turbine is a key factor related to the performance and lifespan of the device, the inlet temperature is not measured directly for reasons such as the turbine structure and operating environment. In particular, the inlet temperature of the reheating gas turbine is very important for stable operation management, but field workers are experiencing a lot of difficulties because the manufacturer does not provide information on the calculation formula. Therefore, in this study, we propose a method for estimating the inlet temperature of a gas turbine using a machine learning-based linear regression analysis method based on a polytropic process equation. In addition, by proposing an inlet temperature calculation algorithm through the usefulness analysis and verification of the inlet temperature calculation model obtained through linear regression analysis, it is intended to help to improve the level of reheat gas turbine combustion tuning technology.