• 설비공학논문집
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• 제19권6호
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• pp.476-484
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• 2007

Recently, in accordance with the buildings are becoming to large-sizes, high-stories, the large scaled facilities and equipments in machine room are quite demanding, and the generated noise volume according to this situation is on increasing. Since such noise is becoming to the object of a serious civil appeal, it is the real situation that a reduction countermeasure against the machine room equipment noise is keenly necessitated. On such viewpoint, this study has recorded, measured the noises which were generated from each individual as same as the whole equipped machines and tools, on the object of the dormitory machine rooms of the 3 colleges that haying mutually different peculiarities, then after grasp-ing their characters and acoustic powers, this research has verified its prediction possibility and the authenticity by comparison the estimated numerical value with the actually measured numerical value through the acoustic simulation. After grasping the prediction possibility in such way, by utilization of the sound absorption material in the machinery room, from the stage of design, the soundproof measures for the noise reduction at machine room could be regulated effectively, and it is also considered that such data would be utilized as the fundamental material for an establishment of the measure for sound insulation.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2004년도 추계학술대회 논문집
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• pp.335-341
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• 2004

According to the improvements of the education and the cultural level, the noise pollutions which have been occupying a major portion of civil petitions about environment is gradually aggravating. Especially, the plumbing noises which took place at machine room of dormitory are the compositive shapes of an air-borne sounds and a solid-borne sounds. So it has been causing to injure the comfortable residential environment of residents that it is propagated in a residential space. Judging from this point of view, this study grasped the propagation and the properties of attenuation about four varieties's plumbing noise which took place at machine room to understand that it cause influences to a residential space. In this point, we understand the peculiar features by measuring noise, which was generated from equipment in machine rooms of three dormitories having different features. On the basis of these features, we examine all predictability and reliability in comparing the predictive value with the measurable one, using architectural acoustic simulation.

• 대한인간공학회지
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• 제16권1호
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• pp.107-117
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• 1997

It is necessary to evaluate HMI inaspects of human factors in the design stage of MMIS(man machine interface system) and feedback the result of evaluation because operators performance is mainly influenced by the HMI. Therefore, the MMIS design should be reflected the operators psychological, behavioral and physiological characteristics in the interaction with human machine interface(HMI) in order to improve the safety and availability of the MMIS of a nuclear power plant(NPP) by reduction of human error. The development of human factors experimental evaluation techniques and integrated test facility(ITF) for the human factors evaluation become an important research field to resolve hi,am factors issues on the design of an advanced control room(ACR). We developed am ITF, which is aimed to experiment with the design of the ACR and the human machine interaction as it relates to the control of NPP. This paper presents the development of an ITF that consists of three rooms such as main test room(MTR), supporting test room(STR) and experiment control room(ECR). And, the ITF has a various facilities such as a human machine simulator(HMS), experimental measurement systems and data analysis and experiment evaluation supporting system(DAEXESS). The HMS consists of full-scope simulation model of Korean standard NPP and advanced HMI based on visual display nits (VDUS) such as touch color CRT, large scale display panel(LSDP), flat panel display unit and so on.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2002년도 춘계학술대회논문집
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• pp.101-106
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• 2002

In the Refrigeration and air conditioning industrial circles, refrigerator is demands a high degree of efficiency due to the Environmental Preservation Law. Many researchers are working on factors to improve the efficiency of the refrigerator In this paper, a study of the factors on the decrease of electric power consumption, several experiments are performed to improve the fluid flow in the refrigerator machine room. As a results, average temperatures of compressor and condenser are reduced 3.1$^{\circ}C$, 2.$0^{\circ}C$. The consuming electric power rate is reduced 0.7kWh/month.

• 소성∙가공
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• 제32권2호
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• pp.74-80
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• 2023

A deformation behavior of commercially pure titanium (CP-Ti) is highly dependent on material and processing parameters, such as deformation temperature, deformation direction, and strain rate. This study aims to predict the multivariable and nonlinear tensile behavior of CP-Ti using machine learning based on three algorithms: artificial neural network (ANN), light gradient boosting machine (LGBM), and long short-term memory (LSTM). The predictivity for tensile behaviors at the cryogenic temperature was lower than those in the room temperature due to the larger data scattering in the train dataset used in the machine learning. Although LGBM showed the lowest value of root mean squared error, it was not the best strategy owing to the overfitting and step-function morphology different from the actual data. LSTM performed the best as it effectively learned the continuous characteristics of a flow curve as well as it spent the reduced time for machine learning, even without sufficient database and hyperparameter tuning.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.996-1001
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• 2000

The sound transmission from the machine room where air-conditioner outdoor unit is located into the adjacent room is predicted and evaluated. The software package for statistical energy analysis(SEA) is utilized to determine the transmission losses of multi-layerd panels. To determine the noise level in the machine room, ray tracing method is adopted. The various sound transmission paths have been effectively identified and evaluated by the SEA tool.

• 설비공학논문집
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• 제21권10호
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• pp.537-544
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• 2009

On account of the technological development, intelligent building is on increasing where the artificial regulation on indoor environment is possible, thence the concern about those facilities such as water-supply facility, water-heater and drainage facility has becomes higher. However, due to diversification and complicated system of the facility-equipments, the noise generating from such facility equipment is gradually becoming a problem, and since especially equipment noises arising at the machine room frequently infringe into the resident's pleasant living environment with the complex types of an air-borne sound and a structure-borne sound, it is becoming the civil complaint. On such viewpoint, this Study ever observed the characteristics of noise generating from various facility-equipments in the building, and intended to evaluate the facility-noises by use of the valuation index such as PSIL, N, NC, NR. As result of, the facilities noise which happens in the machine room makes normal conversation very difficult due to high sound pressure level. Based on such data, this study is willing to present it as an essential material for establishment an efficient measure against the facility-noises arising at machine room hereafter.

• 한국실내디자인학회논문집
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• 제16권5호
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• pp.81-88
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• 2007

Energy consumption has been increased world widely, and the energy retain is one of the most important economic alternatives. These tendencies expand the nuclear power plants not only quantitatively but also qualitatively. Despite of the increasing construction of nuclear power plants and related facilities, every system in main control room(MCR) has been designed and administered solely based on the safety-first principles because of the specificity of nuclear industry. However, recent main control rooms started with the concept that the operators' performance could be optimized though the organic interrelation between human, machine, and environments. Now, it has been recognised in the scope of Ergonomics and Space Design which acknowledge our living spaces as Man-Environment Interface and this change connotes the MCR spaces should be special spaces rather than ordinary spaces. This research investigated domestic and foreign nuclear power plants' MCRs to suggest basic alternatives which can be applied to future MCR. With the review of characteristics of MCR, an integration of interior design, lighting and Ergonomics was explored and classified as types. Futhermore, the classification of environmental characteristics within the relationships between human, machine, and environments was developed through the case analysis of nuclear power plants. The results of this study will provide a basis of space design for system environments that the high level of safety and function are extremely important.

• 한국음향학회지
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• 제41권6호
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• pp.723-729
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• 2022

본 논문은 냉장고 기계실 내부 압축기의 저주파 대역에서 소음을 줄이기 위해 다공판을 사용하는 연구이다. 흡음 결과를 예측하기 위해 흡음재의 표면 임피던스를 측정하여, 측정된 임피던스 결과를 이용하여 Finite Element Method(FEM) 분석에 사용된 결과가 실험값과 거의 유사함을 확인하였다. 다공판의 구멍 직경과 배치를 조절하여 냉장고 기계실 내부의 목표 주파수 대역에서 동작할 수 있는 흡음구조를 설계하였다. 기계실에 다공판과 흡음재를 결합한 흡음구조를 적용하여 기존의 흡음재의 주파수 대역보다 낮아진 저주파대역 소음저감 효과를 확인하였다.

• 한국분말재료학회지
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• 제30권3호
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• pp.217-222
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• 2023

Machine learning-based data analysis approaches have been employed to overcome the limitations in accurately analyzing data and to predict the results of the design of Nb-based superalloys. In this study, a database containing the composition of the alloying elements and their room-temperature tensile strengths was prepared based on a previous study. After computing the correlation between the tensile strength at room temperature and the composition, a material science analysis was conducted on the elements with high correlation coefficients. These alloying elements were found to have a significant effect on the variation in the tensile strength of Nb-based alloys at room temperature. Through this process, a model was derived to predict the properties using four machine learning algorithms. The Bayesian ridge regression algorithm proved to be the optimal model when Y, Sc, W, Cr, Mo, Sn, and Ti were used as input features. This study demonstrates the successful application of machine learning techniques to effectively analyze data and predict outcomes, thereby providing valuable insights into the design of Nb-based superalloys.