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Energy-balance assessment of shape memory alloy-based seismic isolation devices

  • Ozbulut, O.E.;Hurlebaus, S.
    • Smart Structures and Systems
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    • v.8 no.4
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    • pp.399-412
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    • 2011
  • This study compares the performance of two smart isolation systems that utilize superelastic shape memory alloys (SMAs) for seismic protection of bridges using energy balance concepts. The first isolation system is a SMA/rubber-based isolation system (SRB-IS) and consists of a laminated rubber bearing that decouples the superstructure from the bridge piers and a SMA device that provides additional energy dissipation and re-centering capacity. The second isolation system, named as superelastic-friction base isolator (S-FBI), combines the superelastic SMAs with a flat steel-Teflon bearing rather than a laminated rubber bearing. Seismic energy equations of a bridge structure with SMA-based isolation systems are established by absolute and relative energy balance formulations. Nonlinear time history analyses are performed in order to assess the effectiveness of the isolation systems and to compare their performance. The program RSPMatch 2005 is employed to generate spectrum compatible ground motions that are used in time history analyses of the isolated bridge. Results indicate that SRB-IS produces higher seismic input energy, recoverable energy and base shears as compared to the S-FBI system. Also, it is shown that combining superelastic SMAs with a sliding bearing rather than rubber bearing significantly reduce the amount of the required SMA material.

Effects of Bearing Characteristic on the Gear Load Distribution in the Slewing Reducer for Excavator (굴삭기용 선회감속기의 베어링 특성이 기어 하중 분포에 미치는 영향 분석)

  • Kim, Jeong-Gil;Park, Young-Jun;Lee, Geun-Ho;Kim, Jae-Hoon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.13 no.5
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    • pp.8-14
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    • 2014
  • A slewing reducer consists of two planetary gearsets which require a good load distribution over the gear tooth flank for enhanced durability. This work investigates how the bearing characteristics influence the load distribution over the gear tooth flank. A complete system model is developed to analyze a slewing reducer, including the non-linear mesh stiffness of the gears and the non-linear stiffness of bearings. The results indicate that the type, arrangement and preload of the output shaft bearings greatly influence the gear mesh misalignment, contact pattern, face load factor, gear safety factor and lifetimes of the parts.

Evaluation of Floor Heating Performance and Design Criteria for Operating an Outdoor Swimming Pool During Winter : A Case Study (동절기 옥외 수영장 시설의 운영을 위한 바닥난방 성능평가 및 설계기준에 관한 사례연구)

  • Cho, Jinkyun;Woo, Kyunghun;Kim, Jin-Ho
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.6
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    • pp.289-296
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    • 2017
  • This study aimed to analyze the deck floor heating system of an outdoor swimming pool in terms of the thermal capacity/output and the surface temperature distribution based on the outdoor temperature, to design for anti-freezing during winter. Through the transient heat transfer simulation with PHYSIBEL and theoretical equations, the surface temperature distribution of the floor heating system at two outdoor conditions in Jeju, were calculated and evaluated. The results indicate that the specific thermal output required for maintaining $4^{\circ}C$ surface temperature at the design outdoor temperature of $0.1^{\circ}C$, was about $90W/m^2$. This performance analysis can be applied for future design criteria, including optimizations of system capacity and size.

Flow Analysis of Filling Imbalance according to Runner Shapes in Injection Mold (사출금형의 러너시스템 형상에 따른 충전불균형 유동해석 모델)

  • Jang, Min-Kyu;Go, Seung-Woo;Kim, Yeong-Min;Noh, Byeong-Su;Jeong, Yeong-Deug
    • Design & Manufacturing
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    • v.2 no.5
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    • pp.16-20
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    • 2008
  • Almost all injection molds have multi-cavity runner system for mass production, which are designed with geometrically balanced runner system in order to accomplish filling balance between cavity to cavity during processing; However, even though geometrically balanced runner is used, filling imbalances have been observed. In these day, the CAE has been used widely in injection molding. However, CAE with fusion mesh can't indicate such as jetting, flow mark and filling imbalance in multi cavity mold. In this study, we investigated the filling imbalance according to runner shapes by CAE analysis. As a result in CAE, in case of binary branch runner system, filling imbalance was indicated between cavity to cavity, but the flow pattern of each cavity uniformed in unary branch runner system.

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Calculation of Electrodynamic Repulsion Force in Molded Case Circuit Breakers Using the 3-D Finite Element Analysis (3차원 유한요소 해석을 이용한 배선용 차단기의 전자반발력 계산)

  • Kim, Yong-Gi;Park, Hong-Tae;Song, Jung-Chun;Seo, Jung-Min;Degui, Chen
    • Proceedings of the KIEE Conference
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    • 2003.10b
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    • pp.137-140
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    • 2003
  • To the optimization design of molded case circuit breakers(MCCBs), it is necessary and important to calculate the electro-dynamic repulsion force acting on the movable conductor. With 3-D finite element nonlinear analysis, according to the equations among current-magnetic field-repulsion force and taking into account the ferromagnet, contact bridge model is introduced to simulate the current constriction between contacts, so Lorentz and Holm force acting on the movable conductor and contact, respectively, can be integrated to calculate. Coupled with circuit equations, the opening time of movable contact also can be obtained using iteration with the restriction of contact force. Simulation and experiment for repulsion forte and opening time of five different configuration models have been investigated. The results indicate that the proposed method is effective and capable of evaluating new design of contact systems in MCCBs.

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Fault Prognostics of a SMPS based on PCA-SVM (PCA-SVM 기반의 SMPS 고장예지에 관한 연구)

  • Yoo, Yeon-Su;Kim, Dong-Hyeon;Kim, Seol;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.9
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    • pp.47-52
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    • 2020
  • With the 4th industrial revolution, condition monitoring using machine learning techniques has become popular among researchers. An overload due to complex operations causes several irregularities in MOSFETs. This study investigated the acquired voltage to analyze the overcurrent effects on MOSFETs using a failure mode effect analysis (FMEA). The results indicated that the voltage pattern changes greatly when the current is beyond the threshold value. Several features were extracted from the collected voltage signals that indicate the health state of a switched-mode power supply (SMPS). Then, the data were reduced to a smaller sample space by using a principal component analysis (PCA). A robust machine learning algorithm, the support vector machine (SVM), was used to classify different health states of an SMPS, and the classification results are presented for different parameters. An SVM approach assisted by a PCA algorithm provides a strong fault diagnosis framework for an SMPS.

EFFECTS OF A SPLIT INJECTION ON SPRAY CHARACTERISTICS FOR A COMMON-RAIL TYPE DIESEL INJECTION SYSTEM

  • PARK S. W.;SUH H. K.;LEE C. S.
    • International Journal of Automotive Technology
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    • v.6 no.4
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    • pp.315-322
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    • 2005
  • This work was performed to investigate the effect of a split injection on spray characteristics of fuel sprays injected from a common rail system. In order to analyze the spray behavior and atomization characteristics at various rates of split injections, the injection durations of pilot and main injections were varied in experiments. The injection rate of split injection was measured to study the effect of the pilot injection on the main injection. By using a Nd:YAG laser and an ICCD camera, the development of the injected spray was visualized at various elapsed time from the start of injection. The microscopic characteristics such as SMD and axial velocity were analyzed by using a phase Doppler particle analyzer system. The results indicate that the ambient gas flow generated by the pilot injection affects the behavior of main spray, whereas the effect of pressure variation on the main spray is little. The spray tip penetration of a main spray with pilot injection is longer than that of the single injection by the effect of ambient gas flow. Also the main spray produces larger droplets than the pilot spray due to a small relative velocity between the droplets and ambient gas.

Ball-Bearing Selection Considering Flexibility of Shaft-Bearing System (축-베어링 시스템의 연성 특성을 고려한 볼 베어링의 선정)

  • 윤기찬;최동훈
    • Tribology and Lubricants
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    • v.16 no.1
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    • pp.39-45
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    • 2000
  • In this paper, the effects of shaft and bearing flexibilities are investigated for the accurate modeling of a shaft-bearing system supported by ball bearings. Generally, rolling bearings are modeled by simple rigid pin-joint in the mechanical design. However, they can no longer be modeled by ideal boundary conditions in the advanced applications because the rigid pin-joint model cannot satisfy the current trends of mechanical design decreasing mass and reducing volume. Consequently the flexible support model of ball bearing is investigated using the static analysis module developed by A .B. Jones and T. A. Harris. A simple two-bearing system, supported by two deep groove ball bearings and radially loaded on the shaft midway between the bearings, is utilized to validate the coupled model of shaft-bearing system. Numerical computations using the model indicate that the shaft span length, locating/floating bearing arrangements and applied bearing size are significant factors in determining the mechanical behaviors. The flexible support model of ball bearing can be escaped to over-estimate in the bearing fatigue life. The proposed simple design formulation obtained by numerical simulations can approximately predict a rate of bearing life reduction as a function of shaft span length/shaft diameter (L/d).

FFT에 기반한 병렬 디지털 신호처리시스템의 성능분석

  • 박준석;전창호;박성주;이동호;오원천;한기택
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.1
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    • pp.3-9
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    • 1999
  • This paper concerns performance of a parallel digital signal processing system. The performance of the system is analyzed in terms of CPU cycles required for 1024-point FFT computation. The number of cycles is estimated in three different approaches; FFT algorithm-based, assembly level source code-based, and probability-based. The results of analysis indicate that on a bus-based system the best performance for FFT is achieved with a single board. Because in some applications like FFT, where frequent data exchanges among processors occur, the number of communication cycles increases as the number of boards. It is observed that inter-board communication degrades overall system performance for the FFT computation. Also shown is that linear increase in performance can be obtained if multiple buses are employed.

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Solution Methods for Reliability Optimization of a Series System with Component Choices (부품선택이 존재하는 직렬시스템의 신뢰성 최적화 해법)

  • Kim, Ho-Gyun;Bae, Chang-Ok;Kim, Jae-Hwan;Son, Joo-Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.34 no.1
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    • pp.49-56
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    • 2008
  • Reliability has been considered as an important design measure in various industrial systems. We discuss a reliability optimization problem with component choices (ROP-CC) subject to a budget constraint. This problem has been known as a NP-hard problem in the reliability design fields. Several researchers have been working to find the optimal solution through different heuristic methods. In this paper, we describe our development of simulated annealing (SA) and tabu search (TS) algorithms and a reoptimization procedure of the two algorithms for solving the problem. Experimental results for some examples are shown to evaluate the performance of these methods. We compare the results with the solutions of a previous study which used ant system (AS) and the global optimal solution of each example obtained through an optimization package, CPLEX 9.1. The computational results indicate that the developed algorithms outperform the previous results.