• Title/Summary/Keyword: Thermal Equipment

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Measurement of Thermal Conductivities of Freon-12 and Freon-22 at High Pressure by Unsteady Hot Wire Method (비정상 열선법에 의한 Freon-12와 Freon-22의 고압상태에서의 열전도율측정)

  • ;;Lee, Taik Sik;Ro, Sung Tack
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.2 no.2
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    • pp.42-46
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    • 1978
  • Thermal conductivities of Freon-12 and Freon-22 were measured at room temperature up to 35 MPa with the aid of transient hot wire method. Glycerin was used to check the performance of the experimental equipment. The thermal conductivities of Freon-12 and Freon-22 at the maximum pressure, 35 MPa, were increased by 25% approximately for those at satufated state.

Thermal Deformation Error Compensation for the vertical milling machine (수직형 밀링머신의 열변위보정에 관한 연구)

  • 박윤창
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.03a
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    • pp.293-297
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    • 1998
  • A method for the evaluation and the compensation of the vertical milling machine is presented. The method used a mathmatical model of thermal deformation based on temperatur variations of the machine and the environment. It follows an empirical approach and requires low cost equipment to be applied. According to this study, machine error caused by thermal deformation will be reduced to about 1/6.

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Ceramic Coating by Electron Beam PVD for Nanos-Tructure Control (나노구조 제어를 위한 EB-PVD법에 의반 세라믹스 코팅)

  • Matsbara, Hideaki
    • Ceramist
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    • v.9 no.6
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    • pp.24-29
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    • 2006
  • Electron beam physical vapor deposition (EB-PVD) process has currently been applied to thermal barrier coatings (TBCs) for aircraft engines. Due to unique columnar structure, EB-PVD TBCs have advantages in resistances to thermal shock and thermal cycle for their applications, compared to films prepared by plasma spray By the EB-PVD equipment, we successfully obtained yttria-stabilized zirconia (YSZ) layer which has columnar and feather like structure including a large amount of nano size pores and gaps. The EB-PVD technique has been developed for coating functional perovskite type oxides such as (La, Sr)MnO3. Electrode properties have been improved by interface and structural control.

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Effect of Thermal Aging on Electrical Properties of Low Density Polyethylene

  • Wang, Can;Xie, Yaoheng;Pan, Hua;Wang, Youyuan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2412-2420
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    • 2018
  • The thermal degradation of low density polyethylene (LDPE) will accelerate the production of carbonyl groups (C=O), which can act as the induced dipoles under high voltage. In this paper, we researched the dielectric properties and space charge behavior of LDPE after thermal aging, which can help us to understand the correlation between carbonyl groups (C=O) and electrical properties of LDPE. The spectra results show that LDPE exhibit obvious thermooxidative reactions when the aging time is 35 days and the productions mainly contain carboxylic acid, carboxylic eater and carboxylic anhydride, whose amount increase with the increasing of aging time. The dielectric properties show that the real permittivity of LDPE is inversely proportional to temperature before aging and subsequently become proportional to temperature after thermal aging. Furthermore, both the real and imaginary permittivity increase sharply with the increasing of aging time. The fitting results of imaginary permittivity show that DC conductivity become more sensitive about temperature after thermal aging. On this basis, the active energies of materials calculated from DC conductivity increase first and then decrease with the increasing of aging time. In addition, the space charge results show that the heterocharges accumulated near electrodes in LDPE change to the homocharges after thermal aging and the mean volume charge density increase with the increasing of aging time. It is considered that the overlaps caused by electrical potential area is the main reason for the increase of DC conductivity.

Personalized Cooling Management System with Thermal Imaging Camera (열화상 카메라를 적용한 개인 맞춤형 냉각관리 시스템)

  • Lee, Young-Ji;Lee, Joo-Hyun;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.782-785
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    • 2021
  • In this paper, we propose a personalized cooling management system with thermal imaging camera. The proposed equipment uses a thermal imaging camera to control the amount of cold air and the system according to the difference between the user's skin temperature before and after the procedure. When the skin temperature is abnormally low, the cold air supply is cut off to prevent the possibility of a safety accident. It is economical by replacing the skin temperature sensor with a thermal imaging camera temperature measurement, and it can be visualized because the temperature can be checked with the thermal image. In addition, the proposed equipment improves the sensitivity of the sensor that measures the distance to the skin by calculating the focal length by using a dual laser pointer for the safety of a personalized cooling management system to which a thermal imaging camera is applied. In order to evaluate the performance of the proposed equipment, it was tested in an externally accredited testing institute. The first measured temperature range was -100℃~-160℃, indicating a wider temperature range than -150~-160℃(cryo generation/USA), which is the highest level currently used in the field. In addition, the error was measured to be ±3.2%~±3.5%, which showed better results than ±5%(CRYOTOP/China), which is the highest level currently used in the field. The second measured distance accuracy was measured as below ±4.0%, which was superior to ±5%(CRYOTOP/China), which is the highest level currently used in the field. Third, the nitrogen consumption was confirmed to be less than 0.15 L/min at the maximum, which was superior to the highest level of 6 L/min(POLAR BEAR/USA) currently used in the field. Therefore, it was determined that the performance of the personalized cooling management system applied with the thermal imaging camera proposed in this paper was excellent.

Technical/Systemic Approach to Safety Assesment of Thermoprocessing Equipment Consuming LNG for Classification of Hazardous Area (LNG를 사용하는 설비에서의 폭발위험장소 적용 및 구분에 대한 제도/기술적 접근방안)

  • Choi, Sang-Won
    • Journal of the Korean Society of Safety
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    • v.26 no.5
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    • pp.33-40
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    • 2011
  • In the hazardous areas where explosive liquids, vapors and gases exist, electrical apparatus/equipment should have explosion-proof construction. The consuming of liquefied natural gas(LNG) has markedly increased in the industrial field, especially in aspect of some thermoprocessing equipment, boiler, dryer, furnace, annealer, kiln, regenerative thermal oxidizer(RTO) and so on. Because it has many merits, clean fuel, safety, no transportation/storage facility and so on. It is strongly recommend that the classification of hazards has to be decided to prevent and protect explosion which may occur in thermoprocessing equipment. In this paper, the operated thermoprocessing equipments in industrial area investigated and explosion risk assessment about LNG leakage from its facilities was performed through numerical calculation and computer simulation. Finally, we suggest the systemic/technical approach for safety assessments of thermoprocessing equipments consumed LNG fuel which are specially subjected to classification of hazardous area.

Small Camera Module for TEC-less Uncooled Thermal Image (TEC-less 비냉각 열영상 검출기용 소형카메라 모듈 개발)

  • Kim, Jong-Ho
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.2
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    • pp.97-103
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    • 2017
  • Thermal imaging is mainly used in military equipment required for night observation. In particular, technologies of uncooled thermal imaging detectors are being developed as applied to low-cost night observation system. Many system integrators require different specifications of the uncooled thermal imaging camera but their development time is short. In this approach, EOSYSTEM has developed a small size, TEC-less uncooled thermal imaging camera module with $32{\times}32mm$ size and low power consumption. Both domestic detector and import detector are applied to the EOSYSTEM's thermal imaging camera module. The camera module contains efficient infrared image processing algorithms including : Temperature compensation non-uniformity correction, Bad/Dead pixel replacement, Column noise removal, Contrast/Edge enhancement algorithms providing stable and low residual non-uniformity infrared image.

Condensation Prevention Performance Assessment Taking Into Account Thermal Insulation Performance Degradation Due to Aging for Apartment Housing

  • Choi, Doo-Sung;Lee, Myung-Eun
    • KIEAE Journal
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    • v.15 no.6
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    • pp.11-18
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    • 2015
  • Purpose: The current study analyzed trends in thermal insulation performance with aging, and condensation characteristics caused by the former. Method: Thermal insulation and condensation prevention performance of an architecture were assessed using Temperature Difference Ration Inside, or TDRi. Subjects of this quantitative analysis in thermal insulation performance change due to aging included recently constructed apartments and aged apartments older than 40 years. Time series comparison and analysis were conducted to observed changes in the thermal insulation performance and condensation characteristics. Result: Analysis showed that wall insulation performance degraded with aging regardless of fortified insulating material usage or insulating material type, which caused increased danger of condensation. In addition, when fortified insulating material was installed on the connection between the walls, insulation performance degradation was lower compared to cases in which fortified materials were not used. In all cases from 1 to 10, the rate of thermal insulation performance degradation increased after 20 years of aging.

EA Study on the Operation Performance of Central Plant Equipment According to Part Load Characteristics (부분부하 특성을 고려한 열원기기의 운전성능 평가)

  • Lee, Wang-Je;Kang, Eun-Chul;Lee, Euy-Joon;Oh, Byung-Chil;Shin, U-Cheul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.25 no.7
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    • pp.392-397
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    • 2013
  • To fulfill the demands concerning energy efficiency for zero energy buildings, various technologies of architects and engineers are required. This study aims to estimate the thermal performance of heat source equipment in which part load characteristics are considered in an office building. Overestimation of heat source equipment was reviewed through literature survey, and heating and cooling loads depending on the capacity and division of the equipment were analyzed through a simulation program (DOE-2.1E). The conclusions gained from this study are as follows; 1) The more the division of equipment, the less the heating and cooling energy consumption. 2) When a large item of equipment is divided into two small items of equipment, the optimum application rate showed as 5:5 for chiller, and 7:3 for boiler, respectively.

Artificial Neural Network-based Thermal Environment Prediction Model for Energy Saving of Data Center Cooling Systems (데이터센터 냉각 시스템의 에너지 절약을 위한 인공신경망 기반 열환경 예측 모델)

  • Chae-Young Lim;Chae-Eun Yeo;Seong-Yool Ahn;Sang-Hyun Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.883-888
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    • 2023
  • Since data centers are places that provide IT services 24 hours a day, 365 days a year, data center power consumption is expected to increase to approximately 10% by 2030, and the introduction of high-density IT equipment will gradually increase. In order to ensure the stable operation of IT equipment, various types of research are required to conserve energy in cooling and improve energy management. This study proposes the following process for energy saving in data centers. We conducted CFD modeling of the data center, proposed an artificial intelligence-based thermal environment prediction model, compared actual measured data, the predicted model, and the CFD results, and finally evaluated the data center's thermal management performance. It can be seen that the predicted values of RCI, RTI, and PUE are also similar according to the normalization used in the normalization method. Therefore, it is judged that the algorithm proposed in this study can be applied and provided as a thermal environment prediction model applied to data centers.