• 대한기계학회논문집B
• /
• 제21권4호
• /
• pp.570-578
• /
• 1997

At design stage of new motor or when taking remedial action of old motor, a lot of information can be obtained from thermal parameters analysis. This study focused on the temperature rise of TEFC induction motor with respect to various thermal parameters. Frame heat transfer had the most important effect on coil temperature rise. But those of air gap and rotor fan had no effect. This fact shows fan action is more important than fin action in the case of rotor fan. Coil temperature can be more decreased by cooling near the heat sources than any other parts from the results of thermal conductivity and loss tests. Variation of cooling air flow rate and motor volume effects on coil temperature were also tested. These tests suggest that improvement of cooling fan performance is important in reducing the coil temperature rise. Thermal equivalent program was verified by comparison of some experimental results.

• 대한기계학회논문집B
• /
• 제38권11호
• /
• pp.915-924
• /
• 2014

항공기용 가스터빈 엔진에 있어서, 기어 어셈블리 및 전자장비에 사용되는 오일의 냉각을 위하여 열교환기가 사용되며 이를 Surface air-oil heat exchanger (SAOHE) 라고 한다. 이 열교환기는 엔진 팬 케이싱 내부에 설치되며 기어박스 시스템 및 전자장비로부터 바이패스 덕트 후류 쪽으로 열을 소산시킨다. 본 연구의 목적은 SAOHE 의 설계를 위한 효율적인 수치해석방법을 개발하는 것이다. SAOHE 설치에 따른 핀에서의 열공력학적 성능을 평가하기 위하여 다공성 모델을 활용한 2 차원 수치해석을 수행하였고, 열교환기 성능평가에 대해 시간 및 비용적으로 효과적인 1 차원 열유동 네트워크 프로그램을 개발하였다. 이 프로그램을 이용하여 열교환기의 압력강하 및 열전달 성능을 예측하였고, 1 차원 열유동 네트워크 프로그램을 검증하기 위해 2 차원 전산해석 결과 및 실험 결과와 비교하였다.

• Journal of Welding and Joining
• /
• 제21권4호
• /
• pp.31-38
• /
• 2003

Line heating is an effective and economical process for forming flat metal plates into three-dimensional shapes for plating of ships. Because the nature of the line heating process is a transient thermal process, followed by a thermo elastic plastic stress field, predicting deformed shapes of plate is very difficult and complex problem. In this paper, neural network model o3r solving the inverse problem of metal forming is proposed. The backpropagation neural network systems for determining line-heating positions from object shape of plate are reported in this paper. Two cases of the network are constructed-the first case has 18 lines which have different positions and directions and the second case has 10 parallel heating lines. The input data are vertical displacements of plate and the output data are selected heating lines. The train sets of neural network are obtained by using an analytical solution that predicts plate deformations in line heating process. This method shows the feasibility that the neural network can be used to determine the heating-line positions in line heating process.

• 한국조명전기설비학회:학술대회논문집
• /
• 한국조명전기설비학회 2009년도 추계학술대회 논문집
• /
• pp.339-341
• /
• 2009

개별세대 내 정보통신기기 및 홈네트워크 장비증가로 인하여 서지보호장치(SPD : Surge Protective Device)가 설치되고 있고 산업규격개정 및 등전위 접지시스템 강화에 따라 서지보호기 사용량은 점진적으로 증가하고 있다. 주택용 분전반에 설치되는 서지보호기의 부품은 전압제한형 소자인 $Z_nO$배리스터가 사용되고 있으나 일시적 과전압특성 (Temporary Overvoltage Characteristic) 위험에 노출되어있다. 본 논문은 일반주택에 사용되는 서지보호기의 열적 안전성 (Thermal Stability) 특성시험을 통하여 제품을 분석하였고 이를 토대로 개선안을 제시하였다. 분석결과 누설전류를 차단하기위한 가스 방전관(GDT) 사용 및 열폭주(Thermal Runaway) 현상을 막기 위한 안전장치가 2종 이상 필요하였다.

• 대한기계학회논문집A
• /
• 제24권10호
• /
• pp.2589-2596
• /
• 2000

As current manufacturing processes require high spindle speed and precise machining, increasing accuracy by reducing volumetric errors of the machine itself, particularly thermal errors, is very important. Thermal errors can be estimated by many empirical models, for example, an FEM model, a neural network model, a linear regression model, an engineering judgment model, etc. This paper discusses to make a modeling of thermal errors efficiently through backward elimination and fuzzy logic strategy. The model of a thermal error using fuzzy logic strategy overcomes limitation of accuracy in the linear regression model or the engineering judgment model. It shows that the fuzzy model has more better performance than linear regression model, though it has less number of thermal variables than the other. The fuzzy model does not need to have complex procedure such like multi-regression and to know the characteristics of the plant, and the parameters of the model can be mathematically calculated. Also, the fuzzy model can be applied to any machine, but it delivers greater accuracy and robustness.

• 한국복합재료학회:학술대회논문집
• /
• 한국복합재료학회 2000년도 추계학술발표대회 논문집
• /
• pp.34-37
• /
• 2000

The effect of novel N-crotyl-N,N-dimethyl-4-methylanilinium hexafluroantimonate (CMH) curing agent on cure behavior and thermal properties of DGEBA epoxy cationic system was investigated. From DSC measurements of DGEBA/CMH system, it was shown that this system exhibits an excellent thermal latent characteristic in a given temperature and reveals complex cure behavior as indicated by multiple exotherms. The conversion and conversion rate of DGEBA/CMH system increased with increasing the concentration of initiator due to high activity of CMH. Viscoelastic properties during gel formation of DGEBA with CMH were investigated by rheological techniques under isothermal condition. The gel time obtained from the modulus crossover. point t(G')=G", was affected by high curing temperature and concentration of CMH, resulting in high degree of network formation in cationic polymerization. The thermal stabilities were discussed in terms of the activation energy for decomposition and thermal factors determined from TGA measurements.ents.

• 설비공학논문집
• /
• 제20권7호
• /
• pp.478-485
• /
• 2008

The extreme steam temperature deviation experienced in the superheater of a tangentially fired boiler can seriously affect its economic and safe operation. This temperature deviation is one of the main causes of boiler tube failures. The steam temperature deviation is mainly due to the thermal load deviation in the lateral direction of the superheater. The thermal load deviation consists of several causes. One of the causes is the non-uniform heat flow distribution of burnt gas on the superheater tube system. This distribution is very difficult to measure in situ using direct experimental techniques. So, we need thermal load model to estimate the tube temperature. In this paper, we propose a thermal load distribution model by using CFD analysis and plant data. We successfully predict the tube temperature and the steam flow rate in a final superheater system from the thermal load model and one dimensional heat-flow system analysis. The proposed model and analysis method would be valuable in preventing the frequent tube failure of the final superheater tubes.

• Composites Research
• /
• 제34권3호
• /
• pp.180-185
• /
• 2021

기존 아민계 경화제를 사용해 액정 에폭시를 경화할 경우, 랜덤 한 3차원 네트워크 구조의 생성으로 인해 phonon의 산란이 많이 발생하기 때문에 열전도도가 낮게 나타났다. 이러한 문제를 mesogen그룹을 적층된 구조로 형성하는 양이온 개시제를 이용하여 해결하기 위해 본 연구에서는 아민계 경화제와 양이온 개시제를 사용한 에폭시의 TGA분석(Thermogravimetric Analysis)을 통해 등온 열분해 활성화에너지를 조사하여 열적안정성을 비교하였다. 양이온 개시제를 이용한 에폭시의 경우 활성화가 에너지가 높았으며 기존 실험과 비교했을 때, 열적안정성은 열전도도와 비슷한 양상을 보인다.

• 터널과지하공간
• /
• 제6권4호
• /
• pp.335-341
• /
• 1996

This fundamental study analyzes the relationship between rock thermal properties and psychrometric properties in underground space and has a ultimate goal to develope technologies for predicting major environmental variables. The study is divided into 2 subjects (1) developement of a basic model for predicting temperature and humidity, (2) analysis of the validity of the model through application to a local underground storage space for military supplies. The basic model is built for the network of tunnel-shaped underground spaces. The model takes into account rock thermal properties and changes in moisture content in the air due to condensation/evaporation on the rock surface. Using lumped-parameter analytical method, heat flux from or to the surrounding rock is calculated and then the psychrometric properties(air quantity, pressure, temperature, humidity) are estimated through network simulation. The model can be utilized regardless of the tunnel type. The study site is a local storage space built in rock, mainly granite gneiss and quartz-porphyry. It is a U-shaped tunnel, 593.5m long and 6x6.5m wide. Relative humidity inside has to be strictly controlled under 55% to avoid erosion of a certain types of supplies stored in 6 chambers with the capacity of 300~1.000 ton. The thermal conductivity varies between 2.734 and 2.779W/m$^{\circ}C$ and the thermal diffusivity is in the range of 1.119 and $1.152{\times}10^{-6}\;m^2/s$ the specific heat between 910 and $920\;J/kg^{\circ}C$. Relative errors of the predicted values of dry/wet temperature and relative humidity are 0.8~3.0%, 0~7.5% and 0~7.0%, respectively. Apparent errors associated with the rock surface temperature seems to be partly due to the intrinsic limitations in the infrared thermometer used in this study.

• Nuclear Engineering and Technology
• /
• 제28권1호
• /
• pp.36-43
• /
• 1996

본 논문은 원자력발전소 열성능 감시 시스템의 PC기반 구현에 관한 연구 내용이다. 이 시스템은 열성능 감시와 진단을 플랜트 운전중에 실시간으로 수행할 수 있다. 고리 원전2호기를 목적호기로 원형 시스템을 구성하여 시험해 보았다. 원자력발전소의 열 주기 시스템은 대단히 복잡하고 구성 요소간에 상호 영향이 커서, 그 분석과 고장 진단에 어려움이 많다. 본 연구에서는 열 주기를 효율적으로 표현하고, 계산시간을 단축하기 위해 성능 진단 변수를 설정하였다. 비정상 상태에서의 진단 변수의 특성 패턴 변화를 인식하기 위해 자기학습 신경망의 일종인 퍼지아트맵을 이용하였다. 시험을 통해 이 알고리듬이 비정상 상태를 감지하고 고장 원인을 성공적으로 규명하는 것을 보였으며, 운전원의 편의를 위해 그래픽 사용자 인터페이스를 구축하였다.