• Title/Summary/Keyword: Variable Rate Technology

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The Effect of Stress Ratio on Fatigue Crack Propagation Rate and Arrest Behavior in 7075-T735 Al Alloy (7075-T735 Al 합금의 피로균열 진전속도와 정류거동에 미치는 응력비의 영향)

  • 오세욱;강상훈;허정원;김태형
    • Journal of Ocean Engineering and Technology
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    • v.6 no.1
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    • pp.131-139
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    • 1992
  • The understanding and appllication of fatigue crack propagation mechanism in variable amplitude loading is very important for life prediction of the air travel structures. Particularly, the retardation and arrest behavior of fatigue crack propagation by single tension overloading is essential to the understanding and appllication of fatigue crack propagation mechanism in variable amplitude loading. Numerous studies of the retardation behavior have been performed, however investigations of the arrest behavior have not been enough yet. As for the arrest behavior, Willenborg had reported that the overload shut-off ratio $[R_{so}=(K_{OL})/K_{max})_{crack arrest}]$ had been the material constant, but recently several investigators have reported that the overload shut-off ratio depends upon the stress ratio. In this study, authors have investigated the effect of stress ratio on the threshold overload shut-off ratio to generate arrest of fatigue crack growth in high tensile aluminum alloy 7075-T735 which have used in material for air travel structures, It has been $-0.4\leqqR\leqq0.4$ till now, the region of stress ratio investigated. The threshold overload shut-off ratio has decreased as stress ratio has increased in overall region of -$-0.4\leqqR\leqq0.4$ and the linearity has been seen in this material. Moreover, the experimental equation between $R_{so}$ and R has been made; The relation has been $R_{so}=-R+2.6$.

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A Study on a Working Pattern Analysis Prototype using Correlation Analysis and Linear Regression Analysis in Welding BigData Environment (용접 빅데이터 환경에서 상관분석 및 회귀분석을 이용한 작업 패턴 분석 모형에 관한 연구)

  • Jung, Se-Hoon;Sim, Chun-Bo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.10
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    • pp.1071-1078
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    • 2014
  • Recently, information providing service using Big Data is being expanded. Big Data processing technology is actively being academic research to an important issue in the IT industry. In this paper, we analyze a skilled pattern of welder through Big Data analysis or extraction of welding based on R programming. We are going to reduce cost on welding work including weld quality, weld operation time by providing analyzed results non-skilled welder. Welding has a problem that should be invested long time to be a skilled welder. For solving these issues, we apply connection rules algorithms and regression method to much pattern variable for welding pattern analysis of skilled welder. We analyze a pattern of skilled welder according to variable of analyzed rules by analyzing top N rules. In this paper, we confirmed the pattern structure of power consumption rate and wire consumption length through experimental results of analyzed welding pattern analysis.

Improvement of Solar Cell Power Using Electron Relay Enhancer (ERE) (전자전달증대기(ERE)를 이용한 태양전지의 전력 향상)

  • Yun, So-Young;Hong, Joo-Hee;Kim, Hak-Hee;Kim, Hak-Soo
    • Korean Chemical Engineering Research
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    • v.52 no.3
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    • pp.366-370
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    • 2014
  • The studies to improve the power of Solar Cell using ERE (Electron Relay Enhancer) system with Variable parallel-feeder (DC1) and variable series-feeder (DC2) were carried out. For DC1 voltage was higher than that of Solar Cell, this was raised because that functioned as a load, whereas a current was lowed. At that moment, the power of the Solar Cell was increased because the DC2 replenished the lower current. Not only increased the DC ERE series-parallel system the voltage of Solar Cell to 2.0~3.0 V, but they also increased the rate of power increase to about 10%.

Color Image Coding using Variable Block of Fractal (프랙탈 기반의 가변블록을 이용한 컬러영상 부호화)

  • Park, Jae-Hong;Park, Cheol-Woo
    • Journal of the Korean Society of Radiology
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    • v.8 no.7
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    • pp.435-441
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    • 2014
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, There applied to 24-bpp color image compression and image techniques. The result did not occur a loss in the image quality of the image when using the encoding method, such as almost to the color in the RGB image compression rate and image quality, such as gray-level images and showed good.

The YIQ Model of Computed Tomography Color Image Variable Block with Fractal Image Coding (전산화단층촬영 칼라영상의 YIQ모델을 가변블록 이용한 프랙탈 영상 부호화)

  • Park, Jae-Hong;Park, Cheol-Woo
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.263-270
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    • 2016
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, There applied to 24-bpp color image compression and image techniques. The result did not occur a loss in the image quality of the image when using the encoding method, such as almost to the color in the YIQ image compression rate and image quality, such as RGB images and showed good.

Modelling of starch industry wastewater microfiltration parameters by neural network

  • Jokic, Aleksandar I.;Seres, Laslo L.;Milovic, Nemanja R.;Seres, Zita I.;Maravic, Nikola R.;Saranovic, Zana;Dokic, Ljubica P.
    • Membrane and Water Treatment
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    • v.9 no.2
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    • pp.115-121
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    • 2018
  • Artificial neural network (ANN) simulation is used to predict the dynamic change of permeate flux during wheat starch industry wastewater microfiltration with and without static turbulence promoter. The experimental program spans range of a sedimentation times from 2 to 4 h, for feed flow rates 50 to 150 L/h, at transmembrane pressures covering the range of $1{\times}10^5$ to $3{\times}10^5Pa$. ANN predictions of the wastewater microfiltration are compared with experimental results obtained using two different set of microfiltration experiments, with and without static turbulence promoter. The effects of the training algorithm, neural network architectures on the ANN performance are discussed. For the most of the cases considered, the ANN proved to be an adequate interpolation tool, where an excellent prediction was obtained using automated Bayesian regularization as training algorithm. The optimal ANN architecture was determined as 4-10-1 with hyperbolic tangent sigmoid transfer function transfer function for hidden and output layers. The error distributions of data revealed that experimental results are in very good agreement with computed ones with only 2% data points had absolute relative error greater than 20% for the microfiltration without static turbulence promoter whereas for the microfiltration with static turbulence promoter it was 1%. The contribution of filtration time variable to flux values provided by ANNs was determined in an important level at the range of 52-66% due to increased membrane fouling by the time. In the case of microfiltration with static turbulence promoter, relative importance of transmembrane pressure and feed flow rate increased for about 30%.

An analytical model for PVC-FRP confined reinforced concrete columns under low cyclic loading

  • Fang, Yuan;Yu, Feng;Chen, Anchun;Wang, Shilong;Xu, Guoshi
    • Structural Engineering and Mechanics
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    • v.77 no.2
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    • pp.179-196
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    • 2021
  • Experimental investigations on the seismic behaviors of the PVC-FRP Confined Reinforced Concrete (PFCRC) columns under low cyclic loading are carried out and two variable parameters including CFRP strips spacing and axial compression ratio are considered. The PFCRC column finally fails by bending and is characterized by the crushing of concrete and yielding of the longitudinal reinforcement, and the column with a high axial compression ratio is also accompanied by the cracking of the PVC tube and the fracture of CFRP strips. The hysteretic curves and skeleton curves of the columns are obtained from the experimental data. With the increase of axial compression ratio, the stiffness degradation rate accelerates and the ductility decreases. With the decrease of CFRP strips spacing, the unloading sections of the skeleton curves become steep and the ductility reduces significantly. On the basis of fiber model method, a numerical analysis approach for predicting the skeleton curves of the PFCRC columns is developed. Additionally, a simplified skeleton curve including the elastic stage, strengthening stage and unloading stage is suggested depending on the geometric drawing method. Moreover, the loading and unloading rules of the PFCRC columns are revealed by analyzing the features of the skeleton curves. The quantitative expressions that are used to predict the unloading stiffness of the specimens in each stage are proposed. Eventually, an analytical model for the PFCRC columns under low cyclic loading is established and it agrees well with test data.

The seismic reliability of two connected SMRF structures

  • Aval, Seyed Bahram Beheshti;Farrokhi, Amir;Fallah, Ahmad;Tsouvalas, Apostolos
    • Earthquakes and Structures
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    • v.13 no.2
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    • pp.151-164
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    • 2017
  • This article aims to investigate the possible retrofitting of a deficient building with soft story failure mode by connecting it to an adjacent building which is designed based on current code with friction dampers at all floors. Low cost and high performance reliability along with significant energy dissipation pertaining to stable hysteretic loops may be considered in order to choose the proper damper for connecting adjacent buildings. After connecting two neighbouring floors by friction dampers, the sliding forces of dampers at various stories are set in two arrangements: uniform sliding force and then variable sliding force. In order to account for the stochastic nature of the seismic events, incremental dynamic analyses are employed prior and after the installation of the friction dampers at the various floors. Based on these results, fragility curves and mean annual rate of exceedance of serviceability and ultimate limit states are obtained. The results of this study show that the collapse mode of the deficient building can affect the optimum arrangement of sliding forces of friction dampers at Collapse Prevention (CP) performance level. In particular, the Immediate Occupancy (IO) performance level is not tangible to the sliding force arrangement and it depends solely on sliding force value. Generally it can be claimed that this rehabilitation scheme can turn the challenge of pounding two adjacent buildings into the opportunity of dissipating a large amount of the seismic input energy by the friction dampers, thus improving significantly the poor seismic performance of the deficient structure.

The analysis of demand and supply in contents for platform differentiation (플랫폼 차별화를 위한 콘텐츠 수요와 공급량 분석)

  • Park, Sang-Eun;Choi, Seong-Jhin;Lee, Young-Ju
    • Journal of Broadcast Engineering
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    • v.14 no.6
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    • pp.783-795
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    • 2009
  • We analyze the demand and supply in contents for platform differentiation in this paper. The contents provided by new platforms such DMB, IPTV which are introduced by the digital techniques and broadband network are almost same, so it is definitely necessary to differentiate the broadcasting contents for the development of telecommunication industry. To forecast the contents demand needed for each media, we assume 3 scenarios such as maximum, medium and minimum demand for contents considering deregulation of media policy. Also, we include the expected number of channels according to the changeover of policies as a variable for scenario. To predict the supply of contents of each media, we analyze 3 scenarios according to operating rates of production facilities as 100%, 70%, 50% and first-run ratio/rerun ratio of both terrestrial broadcastings and major program providers. The result shows that in case of scenario A, new contents for 453,484 hours are required every year and maximum contents that can be produced in present production facilities are just for 72,852 hours even in condition of 100% operating rate. This means that the unbalance of demand and supply of contents is extremely big and implies that the policies of focusing only on the development of platform and network industry are inadequate. It is time to foster contents business for differentiation of multiplatforms.

Numerical Simulation of Three Dimensional Fluid Flow Phenomena in Cylindrical Submerged Flat Membrane Bioreactor for Aeration Rate (원통 침지형 평막 생물반응기 내 산기량에 따른 3차원 유동현상에 관한 수치모사)

  • Kim, Dae Chun;Chung, Kun Yong
    • Applied Chemistry for Engineering
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    • v.25 no.4
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    • pp.401-408
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    • 2014
  • In membrane bio-reactor (MBR), the aeration control is one of the important independent variables to decrease fouling and to save energy with shear stress change on the membrane surface. The paper was carried out for numerical simulation of 3-dimensional fluid flow phenomena of the cylindrical bioreactor with submerged flat membranes equipped in the center and supplied the air from the bottom by using the COMSOL program. The viscosity and temperature of solution were assumed to be constant, and the specific air demand based on permeate volume ($SAD_p$) defined as scouring air per permeate rates was used as a variable. The calculated CFD velocities were compared with those of the velocity meter measurement and video image analysis, respectively. The results were good agreement each other within 11% error. For fluid flow in the reactor the liquid velocity increased rapidly between the air diffuser and membrane module, but the velocity decreased during flowing of the membrane module. Also, the velocity increased as it was near from the reactor wall to the central axis. The calculated shear stress on the membrane surface showed the highest value at the center part of the module bottom side and increased as aeration rate increased. Especially, the wall shear stress increased dramatically as the aeration rate increased from 0.15 to 0.25 L/min.