• 대한기계학회논문집B
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• 제36권11호
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• pp.1073-1079
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• 2012

본 논문은 나노유체를 적용하여 써모사이폰 열전달 성능 특성 변화를 실험적으로 규명하는 것을 목적으로 하고 있다. 이를 위하여, 증발부 내부체적을 공유하는 3 개의 독립된 파이프를 가지는 써모사이폰을 제작하였으며 증류수, Ag 나노유체 그리고 $TiO_2$ 나노유체에 대하여 충진량, 증발부에 가해지는 입력열량 그리고 농도변화에 따른 써모사이폰 성능특성 변화를 고찰하였다. 증류수를 작동유체로 사용하는 경우 써모사이폰의 최적충진량은 30%로 결정되었고, $TiO_2$ 나노유체를 적용하는 써모사이폰 열저항이 Ag 나노유체를 적용한 경우에 비하여 평균 18.1% 감소하였다. 또한, 300W 입력열량 및 $TiO_2$ 나노유체 농도 1%에서 써모사이폰의 열전달 성능은 가장 우수하였다.

• 마이크로전자및패키징학회지
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• 제21권3호
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• pp.7-17
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• 2014

Power electronics modules are semiconductor components that are widely used in airplanes, trains, automobiles, and energy generation and conversion facilities. In particular, insulated gate bipolar transistors(IGBT) have been widely utilized in high power and fast switching applications for power management including power supplies, uninterruptible power systems, and AC/DC converters. In these days, IGBT are the predominant power semiconductors for high current applications in electrical and hybrid vehicles application. In these application environments, the physical conditions are often severe with strong electric currents, high voltage, high temperature, high humidity, and vibrations. Therefore, IGBT module packages involves a number of challenges for the design engineer in terms of reliability. Thermal and thermal-mechanical management are critical for power electronics modules. The failure mechanisms that limit the number of power cycles are caused by the coefficient of thermal expansion mismatch between the materials used in the IGBT modules. All interfaces in the module could be locations for potential failures. Therefore, a proper thermal design where the temperature does not exceed an allowable limit of the devices has been a key factor in developing IGBT modules. In this paper, we discussed the effects of various package materials on heat dissipation and thermal management, as well as recent technology of the new package materials.

• 대한기계학회논문집B
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• 제38권3호
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• pp.227-234
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• 2014

전기 자동차의 연료 소모량은 배터리 성능에 의존한다. 배터리의 성능은 작동온도에 민감하기 때문에, 배터리 온도 관리는 성능과 내구성을 보장한다. 특히, 배터리 팩에서의 모듈의 온도 분포는 냉각특성에 영향을 미친다. 이 연구는 모듈 사이의 온도 분포를 확인 할 수 있는 배터리 열적 모델링에 초점을 두었다. 본 연구의 배터리 모델은 NiMH 각형 모델이며, 10개의 모듈로 구성되어졌다. 배터리 열 모델은 열 발생, 채널을 통과하는 대류 열 전달 그리고 모듈 사이의 전도 열 전달로 구성되었다. 배터리 내에서 발생되는 열발생 모델은 충/방전 동안의 전기적인 저항열에 의해 계산되어 진다. 모델은 전 하이브리드 자동차의 운전 동안 적절한 열관리의 전략을 결정한다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.119-127
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• 2022

Most of the construction works are conducted outdoors, so the construction workers are affected by weather conditions such as temperature, humidity, and wind velocity which can be evaluated the thermal comfort as environmental factors. In our previous researches, it was found that construction accidents are usually occurred in the discomfort ranges. The safety management, therefore, should be planned in consideration of the thermal comfort and measured by a specialized simulation tool. However, it is very complex, time-consuming, and difficult to model. To address this issue, this study is aimed to develop a framework of a prediction model for improving the prediction accuracy about outdoor thermal comfort considering environmental factors using machine learning algorithms with hyperparameter tuning. This study is done in four steps: i) Establishment of database, ii) Selection of variables to develop prediction model, iii) Development of prediction model; iv) Conducting of hyperparameter tuning. The tree type algorithm is used to develop the prediction model. The results of this study are as follows. First, considering three variables related to environmental factor, the prediction accuracy was 85.74%. Second, the prediction accuracy was 86.55% when considering four environmental factors. Third, after conducting hyperparameter tuning, the prediction accuracy was increased up to 87.28%. This study has several contributions. First, using this prediction model, the thermal comfort can be calculated easily and quickly. Second, using this prediction model, the safety management can be utilized to manage the construction accident considering weather conditions.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2011년도 제40회 동계학술대회 초록집
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• pp.14-14
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• 2011

Graphene is known to possess excellent thermal properties, including high thermal conductivity, that make it a prime candidate material for heat management in ultra large scale integrated circuits. For device applications, the key parameters are the thermal expansion coefficient and the thermal conductivity. There has been no reliable experimental determination on the thermal expansion coefficient of graphene whereas the estimates of the thermal conductivity vary widely. In this work, we estimate the thermal expansion coefficient of graphene on silicon dioxide by measuring the temperature dependence of the Raman spectrum. The shift of the Raman peaks due to heating or cooling results from both the intrinsic temperature dependence of the Raman spectrum of graphene and the strain on the graphene film due to the thermal expansion mismatch with silicon dioxide. By carefully comparing the experimental data against theoretical calculations, it is possible to determine the thermal expansion coefficient. The thermal conductivity is measured by estimating the thermal profile of a graphene film suspended over a circular hole of the substrate.

• 한국수소및신에너지학회논문집
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• 제29권2호
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• pp.212-218
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• 2018

Li-ion battery system is regarded as one of the most potent power sources for electrified power-trains. For the Li-ion battery system to be widely adopted in automotive applications, the performance, safety, and cycle life issues need to be properly addressed. These issues are closely related to the thermal management of battery system. Especially, the effective cooling module design is the core part for the novel battery thermal management system development. In this paper, an experimental approach was carried out as a basic part of comprehensive battery thermal management research. The main goal of this paper is to present a comparison of two cooling systems (air cooling and phase change material (PCM) based cooling) of the unit 18650 battery module. The temperature rise with different battery discharge rate (c-rate) was mainly investigated and analyzed for two types of battery cooling systems. It is expected that this study can properly contribute to providing basic insights into the design of robust battery thermal management system for vehicular applications.

• 전자공학회논문지
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• 제51권7호
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• pp.103-110
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• 2014

최근 등장한 TSV(Through Silicon Via)기반의 3D 적층 기술은 보다 강력한 발열관리 기법을 필요로 하며 냉각 비용과 폼팩터(form factor)의 제한을 고려했을 때 소프트웨어적인 열관리 기법의 중요성이 더욱 강조되고 있다. 이러한 접근 방식의 유력한 후보 중 하나로 제시되었던 스로틀링을 통한 열관리 기법의 경우, 증가하는 버스 점유율로 인해 전체적인 성능저하를 야기하는 문제점이 있다. 본 논문에서는 향후 TSV 기반 3D SoC의 커뮤니케이션 병목 현상을 해결하기 위한 3D 네트워크-온-칩 (Network-on-Chip, NoC) 구조에서 어댑티브 스로틀링 기법을 제안하여, 열관리와 더불어 온-칩 네트워크상의 트래픽 감소를 통해 전체적인 성능향상을 목표로 한다. 본 논문에서는 실험을 통하여 기존의 방식에 비하여 스로틀링으로 인해 저하된 처리량이 최소경로 라우팅 시 최대 72% 향상됨을 알 수 있었다.

• Journal of Advanced Marine Engineering and Technology
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• 제40권2호
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• pp.96-101
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• 2016

The thermal management of high-power LED components in an assembly structure is crucial for the stable operation and proper luminous function. This study employs numerical tools to determine the optimum thermal design in LEDs with a heat sink consisting of a crevice-type vapor-chamber heat pipe. The effects of the MCPCB are investigated in terms of the substrate thicknesses on which the LEDs are mounted. Further, different placement configurations in a system module are considered. This study found that for a confined area, a power of 40 W/LED is applicable to a high-power package. Furthermore, the thermal conductivity of dielectric layer materials should ideally be greater than 0.9 W/m.K. The temperature conditions of the vapor chamber in a heat pipe greatly affect the thermal performance of the system. At an offset distance of 9.0 mm and a $2^{\circ}C$ increase in the temperature of the heat pipe, the resulting maximum temperature increase is approximately $1.9^{\circ}C$ for each heat dissipation temperature. Finally, at a thermal conductivity of 0.3 W/m.K, it was found that the total thermal resistance changes dramatically. Above 1.2 W/m.K, the resistance change reduces exponentially.

• 품질경영학회지
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• 제43권3호
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• pp.253-272
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• 2015

Purpose: The purpose of this study is to enhance the reliability of quality inspection by standardize the fineness test method of the thermal insulator of military textiles Methods: We have measured the thermal insulator of military textiles by microscope with three different ways and the effectiveness of their difference were analyzed by one-way layout design. Results: We have suggest the standardized the fineness test method of the thermal insulator of military textiles through advanced research. As a result we have verified hollow ratio of heat insulating fiber affect fineness test methods. The fineness test method for the thermal insulator applied with different methods following hollow ratio. We have verified that when the hollow ratio over 90%, the fineness of the thermal insulator measured from fiber-length, if it has over 80%, the cross-section length of hollow and if it has less 80%, the cross-section area of hollow is applied, respectively. Conclusion: This study indicated that the test method of fineness shows high reliability. Heat insulating fibers which have high evenness shows narrow variations(5/% or less, only CV 25%) irrespectively under different testing equipment or institute. Based ons the results, we have suggest the standardization of test methods for fineness by microscope method and produced the registration of Group Standard in Korean Standards Association.

• 대한안전경영과학회지
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• 제22권1호
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• pp.1-8
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• 2020

Maintenance of power distribution facilities is a significant subject in the power supplies. Fault caused by deterioration in power distribution facilities may damage the entire power distribution system. However, current methods of diagnosing power distribution facilities have been manually diagnosed by the human inspector, resulting in continuous pole accidents. In order to improve the existing diagnostic methods, a thermal image analysis model is proposed in this work. Using a thermal image technique in diagnosis field is emerging in the various engineering field due to its non-contact, safe, and highly reliable energy detection technology. Deep learning object detection algorithms are trained with thermal images of a power distribution facility in order to automatically analyze its irregular energy status, hereby efficiently preventing fault of the system. The detected object is diagnosed through a thermal intensity area analysis. The proposed model in this work resulted 82% of accuracy of detecting an actual distribution system by analyzing more than 16,000 images of its thermal images.