• Title/Summary/Keyword: back analysis method

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Design Analysis and Economic Analysis of high Efficiency 100kW Generator for Hydro Power System (소수력 발전용 고효율 100kW 발전기의 설계해석 및 경제성 분석)

  • Jee, In-Ho;Kang, Seung-Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.3
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    • pp.428-438
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    • 2016
  • This paper shows the design of the 100 kW IPMSG for small hydraulic power generator. The high-efficient generator, method of the dual layer interior permanent magnet was studied to improve the method of the single layer interior permanent magnet, which is mostly used. Analysis of magnet arrangement and cogging torque was done by FEM. According to structure analysis of dual layer interior permanent magnet, the amount of usage of the permanent magnet was reduced and cogging torque was decreased as well. With these successful results, the high-efficient generator design was accomplished. Based on the results of the structure analysis, the test product was designed and manufactured. And the design values and performance outputs were compared and verified with success. Also, the economic feasibility was conducted based on the electric power generated from the test product installed at the site. By the B/C analysis, in case that only SMP was analyzed, B/C ratio was 1.24 at the discount ratio of 5.5%, which considered to be economically feasible. The study is expected to be used for the application of developing large scale high-efficient interior permanent magnet synchronous generator.

THREE DIMENSIONAL FINITE ELEMENT ANALYSIS FOR REACTION TO MOLAR UPRIGHTING SPRING (대구치 직립 스프링 적용시 반작용에 관한 삼차원 유한요소법적 연구)

  • Choe, Yoo-Kyung;Kim, Tae-Woo;Suhr, Cheong-Hoon
    • The korean journal of orthodontics
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    • v.28 no.1 s.66
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    • pp.61-74
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    • 1998
  • The Purpose of this study was to investigate the stress distribution and tooth displacement at the initial phase produced by 5 types of molar uprighting springs using finite element method. The three dimensional finite element model of lower dentition, bone and springs was composed of 5083 elements and 2071 nodes. The results were as follows: 1. In case of helical spring and root spring, intrusion of lower canine and first premolar were observed md distal tipping, translation and extrusion of lower second molar were observed. 2. In case of T-loop, modified T-loop and box loop, intrusion and distal translation of lower second premolar were observed, and the largest crown distal tipping and translation of lower second molar were observed in T-loop and the smallest were observed in box loop. 3. In case of T-loop with cinch-bact crown distal tipping and translation of lower second molar were decreased, but extrusion was also decreased. 4. With increase of activation in T-loop, mesial translation and won distal tipping of lower second molar were increased and edentulous space was closing, but distal translation of second premolar was also increased. 5. With increase of tip-back bend in T--loop, distal tipping and translation of lower second molar were increased, but extrusion was also increased more largely.

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특정사례사면 해석 결과 및 평가

  • Baek, Gyu-Ho;O, Se-Bung;Lee, Seung-Rae
    • Proceedings of the Korean Geotechical Society Conference
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    • 1991.10a
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    • pp.25-33
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    • 1991
  • The slope stability analysis of Carsington dam is performed, considering the effects of pore water pressure, slip surface configuration, lateral stress and various shear strengths. Without yellow clay layer, the Bowles' and STABR programs were used to find the circular slip surface which has the maximum safety factor. At last using the Morgenstern-Price method, the effects of rainfall and strength of yellow clay were mainly considered in the back analyses after failure. It was found that (1) the potential slip was not predicted in the analysis based on the modified Bishop method without considering the yellow clay layer, and (2) the crllapse of dam had been occurred according to the critical shear strength of the yellow clay and pore water pressure increase.

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A study on the prediction method of the real fault distance using probability to the relay data of transmission line fault location (송전선로 거리표정치에 대한 실 고장거리의 확률적 예측방안)

  • Lee, Y.H.;Back, D.H.;Jang, S.H.
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.10-11
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    • 2006
  • The fault location is obtained from the distance relay that detects the fault of the transmission line. In this time, transmission line crews track down the fault location and the reasons. However, because of having error at the fault location of the distance relay, there is a discordance between real and obtained fault location. As this reason, the inspection time for finding fault location can be longer. In this paper, we proposed the statistical (regression) analysis method based on each type of relay's the historical fault location data and the real fault distance data to improve the problems. With finding the regression equation based on the regression analysis, and putting the relay fault location into that equation, the real fault distance is calculated. As a result of the Prediction fault location, the inspection time of transmission line can be reduced.

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Intelligent Control of Robot Manipulator Using DSPs(TMS320C80) (DSPs(TMS320C80)을 이용한 로봇 매니퓰레이터의 지능제어)

  • 이우송;김용태;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.10a
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    • pp.219-226
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    • 2003
  • In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory fir the adaptive control of linear systems, there exists relatively little general theory fir the adaptive control of nonlinear systems. Adaptive control technique is essential fir providing a stable and robust performance fir application of robot control. The proposed neuro control algorithm is one of teaming a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique f3r real-time control of robot system using DSPs.

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The Adaptive-Neuro Control of Robot Manipulator Based-on TMS320C50 Chip (TMS320C50칩을 이용한 로봇 매니퓰레이터의 적응-신경제어)

  • 이우송;김용태;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.04a
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    • pp.305-311
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    • 2003
  • We propose a new technique of adaptive-neuro controller design to implement real-time control of robot manipulator, Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of loaming a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real time control of robot system using DSPs(TMS320C50)

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On-line Trace Enrichment for the Determination of Insulin in Biological Samples Using Reversed-Phase High Performance Liquid Chromatography with Column Switching

  • Lee, Jung-Sook;Lee, Heeyong;Lee, Hye-Suk;Lee, Kang-Choon
    • Archives of Pharmacal Research
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    • v.17 no.5
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    • pp.360-363
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    • 1994
  • Column--swtiching technique with a reversed-phase high performance liquid chromatographic method has been developed for the routine analysis of radioiodinated insulin and its degadation products in biological fluids. The diluted biological samples were loaded onto a precolumn packed with LiChrosorb RP-8 $(25-40{\;}{\mu}m)$ using 0.1% trifuoroacetic acid (TFA) in water as a washing solvent. After valve switching, the concentrated insulins were eluted in the back-flush mode and separated by a W-Porex $C_{18}$ column with a gradient of 0.1% TFA in water and 0.1% TFA in acetonitrile as the mobile phase. The method showed good precision, accuracy and speed with the detection limit of 20 pg/ml. Total analysis time per sample was about 40 min and the coefficients of variation were less than 8, 2%.

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Flutter Characteristics of Double-Swept Composite Wings (이중 후퇴각을 갖는 복합재 날개의 플러터 특성)

  • Koo, Kyo-Nam
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2000.06a
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    • pp.1228-1233
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    • 2000
  • A new planform of a wing having two sweep angles is proposed to enhance the aeroelastic stability of a swept-forward wing. The double-swept wing has two sweep angles with inboard wing swept-back and outboard wing swept-forward. Aeroelastic analysis is performed with the finite element method to model wing structure and the doublet point method to predict aerodynamic loads. The sweep angle of the inboard wing is varied in this analysis while the outboard wing is swept forward to a pre-selected amount. The results show that the aeroelastic stability can be drastically enhanced by adjusting the sweep angle of the inboard wing. The effect of the fiber orientation in the double-swept composite wing is studied and the proper ply angle is identified to maximize critical speed.

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Design and Characteristics Analysis of 600HP Class High-Speed Permanent Magnet Synchronous Motor (600마력급 초고속 영구자석 동기 전동기의 설계 및 특성 해석)

  • Jang, Seok-Myeong;Kim, Hyun-Kyu;Ko, Kyoung-Jin;Choi, Jang-Young
    • Proceedings of the KIEE Conference
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    • 2008.10c
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    • pp.50-52
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    • 2008
  • This paper deals with design and characteristics analysis of 600HP class high_speed Permanent synchronous motor. The field equations due to magnet and stator windings are established in terms of vector potential and 2-d polar coordinate system. Back-emf and torque are then derived. The results compared with finite element method and show in good conformity with those obtained from finite element method.

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Robust Control of Robot Manipulator Based-on DSPs(TMS320C50) (DSPs(TMS320C50)을 이용한 로봇 매니퓰레이터의 견실제어)

  • 이우송;김종수;김홍래;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.10a
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    • pp.193-200
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    • 2004
  • In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real-time control of robot system using DSPs.

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