• Title/Summary/Keyword: Operation layer

Search Result 1,096, Processing Time 0.032 seconds

Quasi-Continuous Operation of 1.55- μm Vertical-Cavity Surface-Emitting Lasers by Wafer Fusion

  • Song, Dae-Sung;Song, Hyun-Woo;Kim, Chang-Kyu;Lee, Young-Hee;Kim, Jung-Su
    • Journal of the Optical Society of Korea
    • /
    • v.5 no.3
    • /
    • pp.83-89
    • /
    • 2001
  • Room temperature quasi-continuous operation is achieved near 1556 nm with threshold current as low as 2.2 mA from a 5.6-${\mu}{\textrm}{m}$ oxide-aperture vertical-cavity surface-emitting laser. Wafer fusion techniques are employed to combine the GaAs/AlGaAs mirror and the InP-based InGaAs/InGaAsP active layer. In this structure, an $Al_x/O_y$/GaAs distributed bragg reflector and intra-cavity contacts are used to reduce free carrier absorption.

Analysis of Combustion Air Flow in Incinerator (소각로의 연소 공기 유동 해석)

  • Lee, Dong-Hyuk
    • Design & Manufacturing
    • /
    • v.16 no.2
    • /
    • pp.26-32
    • /
    • 2022
  • It is known that the fluidized bed incinerator, which is the subject of analysis, shows excellent performance in heat and mass transfer due to excellent mixing and contact performance between fluidized sand and fuel, and also shows relatively good combustion characteristics thanks to good mixing and long residence time for low-grade fuels. have. In this study, air flow analysis is performed to understand the characteristics of co-firing of sludge, waste oil and solid waste in the fluidized bed incinerator, flow characteristics of flue gas, and discharge characteristics of pollutants.The fluidized bed incinerator subject to analysis is a facility that incinerates factory waste and general household waste together with sludge, with a processing capacity of 32 tons/day. to be. In addition, the operation method was designed for continuous operation for 24 hours. As a result, it can be seen that the lower combustion air and the introduced secondary air are changed to a strong turbulence and swirl flow form and exit through the outlet while rotating inside the freeboard layer. The homogeneous one-way flow form before reaching the secondary air nozzle has very high diffusivity with the high-speed jet flow of the nozzle.

CW Operation of $1.3{$mu}$ GaInAsP/p-InP BH Lasers at Room Temperature ($1.3{$mu}$ GaInAs P/p-InP BH형 레이저의 상온 연속발진)

  • Yoo, Tae Kyung;Chung, Gi Oong;Kwon, Young Se;Hong, Tchang Hee
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.23 no.6
    • /
    • pp.780-788
    • /
    • 1986
  • 1.3\ulcorner GaInAsP BH(Buried Heterostructure) lasers were fabricated on the p-InP substrate. Two step chemical etching processes and melt-back etching technique during 2nd epitaxy were used for BH active layer. BH laser had the threshold current, Ith, of 72mA(23\ulcorner), peak wavelength of 1.2937\ulcorner, nd of 10-20%, and To of 85K. They operated in single mode under pulse condition up to 1.4 Ith. CW(DC) operation was successfully performed at room temperature.

  • PDF

Deep learning neural networks to decide whether to operate the 174K Liquefied Natural Gas Carrier's Gas Combustion Unit

  • Sungrok Kim;Qianfeng Lin;Jooyoung Son
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.11a
    • /
    • pp.383-384
    • /
    • 2022
  • Gas Combustion Unit (GCU) onboard liquefied natural gas carriers handles boil-off to stabilize tank pressure. There are many factors for LNG cargo operators to take into consideration to determine whether to use GCU or not. Gas consumption of main engine and re-liquefied gas through the Partial Re-Liquefaction System (PRS) are good examples of these factors. Human gas operators have decided the operation so far. In this paper, some deep learning neural network models were developed to provide human gas operators with a decision support system. The models consider various factors specially into GCU operation. A deep learning model with Sigmoid activation functions in input layer and hidden layers made the best performance among eight different deep learning models.

  • PDF

Seismic Influence on Subsea Pipeline Stresses

  • Choi, Byoung-Yeol;Lee, Sang-Gil;Kim, Jin-Kwang;Oh, Jin-Soo
    • Journal of Advanced Research in Ocean Engineering
    • /
    • v.3 no.1
    • /
    • pp.1-14
    • /
    • 2017
  • The safety analysis of an earthquake is carried out during the operation of a subsea pipeline and an onshore pipeline. Several cases are proposed for consideration. In the case of a buried pipeline, permanent ground deformation by the earthquake and an increase of internal pressure by the acceleration of the earthquake should be considered. In the case of a subsea pipeline, a bending moment is caused by liquefaction of the backfill material on a trenched seabed, etc., which results in a high bending moment of the buried pipeline. The bending moment causes the collapse of the subsea pipeline or a leak of crude oil or gas, which results in economic loss due to enormous environmental contamination and social economic loss owing to operation functional failure. Thus, in order to prevent economic loss and operation loss, structurally sensitive design with regard to seismic characteristics must be performed in the buried pipeline in advance, and the negative impact on the buried pipeline must be minimized by conducting a thorough analysis on the seabed and backfilling material selection. Moreover, it is proposed to consider the selection of material properties for the buried pipeline. A more economical review is also required for detailed study.

Power Cable Ampacity and Influential Factors Analysis under Operation

  • Tong, Qiang;Qi, Jianping;Wang, Yanling;Liang, Likai;Meng, Xiangxing;Zhang, Qiang
    • Journal of Information Processing Systems
    • /
    • v.14 no.5
    • /
    • pp.1136-1149
    • /
    • 2018
  • With the increasing of urban electricity demand, making the most use of the power cable carrying capacity has become an important task in power grid system. Contrary to the rated ampacity obtained under extremely conservative conditions, this paper presents the various steady value of cable ampacity by using the changing surrounding parameters under operation, which is based on cable ampacity calculation equation under the IEC-60287 standard. To some degree, the cable ampacity analysis of actual surroundings improves the transmission capacity of cables. This paper reveals the factors that influence cable ampacity such as insulating layer thickness, allowable long-term conductor temperature, the ambient temperature, soil thermal resistance coefficient, and so on, then gives the class of the influence of these parameters on the ampacity, which plays a great role in accurately calculating the real-time ampacity and improving the utilization rate of cable in the complex external environment condition. Furthermore, the transient thermal rating of the cable is analyzed in this paper, and temperature variation of the conductor under different overload conditions is discussed, which provides effective information for the operation and control of the system.

Machine Layout Decision Algorithm for Cell Formation Problem Using Self-Organizing Map (자기조직화 신경망을 이용한 셀 형성 문제의 기계 배치순서 결정 알고리듬)

  • Jeon, Yong-Deok
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.42 no.2
    • /
    • pp.94-103
    • /
    • 2019
  • Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.

Modeling of deposition and erosion of CRUD on fuel surfaces under sub-cooled nucleate boiling in PWR

  • Seungjin Seo;Nakkyu Chae;Samuel Park;Richard I. Foster;Sungyeol Choi
    • Nuclear Engineering and Technology
    • /
    • v.55 no.7
    • /
    • pp.2591-2603
    • /
    • 2023
  • Simulating the Corrosion-Related Unidentified Deposit (CRUD) on the surface of fuel assemblies is necessary to predict the axial offset anomaly and the localized corrosion induced by the CRUD during the operation of nuclear power plants. A new CRUD model was developed to predict the formation of the CRUD deposits, considering the deposition and erosion mechanisms. The heat transfer and capillary flow within the CRUD were also considered to evaluate the boiling amount within the CRUD layer. This model predicted a CRUD deposit thickness of 44 ㎛ during a one-cycle operation of the Seabrook nuclear power plant. The CRUD deposition tended to accelerate and decelerate during the simulation, by being related to boiling mechanism on the deposits surface. Additionally, during a three-cycle operation corresponding to the refueling period, the CRUD deposition was saturated at a thickness of 80 ㎛, which was in good agreement with the suggested thickness for CRUD buildupin pressurized water reactors. Surface boiling on the thin CRUD deposits enhanced the acceleration of the deposition, even when the wick boiling properties were not favorable for CRUD deposition. To ensure the certainty of the simulation results, sensitivity analyses were conducted for the porosity, chimney density, and the constants employed in the proposed model of the CRUD.

Recent Developments at the Large Binocular Telescope Observatory, GMT's forerunner

  • Veillet, Christian
    • The Bulletin of The Korean Astronomical Society
    • /
    • v.40 no.1
    • /
    • pp.70.3-70.3
    • /
    • 2015
  • After a short description of the telescope, we will report on the recent developments in three main areas: - Commissioning of the last of LBT's first generation instruments, now well underway, - Adaptive Optics (AO) and ground-layer AO progress and planned upgrades, - Interferometry first science results. We will also explore the future of the facility as it moves to full operation and strive to be the first of the ELTs in the decade-long window in which GMT, TMT, and E-ELT break ground and start taking shape.

  • PDF

휴리스틱 매핑에의한 절삭조건의 결정

  • 김성근;박면웅;손영태;박병태;맹희영
    • Proceedings of the Korean Society of Precision Engineering Conference
    • /
    • 1993.04b
    • /
    • pp.262-266
    • /
    • 1993
  • The development of COPS(Computer aided Operation Planning System) needs data mapping paradigm which provides intelligent determonation of cutting conditions from the requirements of process planning side. We proposed the idea of multi-level mapping by the combination of heuristics of domain experts and mathematical abstraction of cutting condition and requirements. Mathematical mathods for the generalization of heuristics were constructed by multi-layer perceptron. DBMS for determination of cutting conditions was constructed by classification and combination of best fitted models. Triangular fuzzy number was used to process the uncertainties in heuristics of experts.