• Title/Summary/Keyword: 3D Bender

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A Study on the Development of the Continuous 3D Tube Bending Machine (연속 3 차원 튜브 벤딩장치 개발에 관한 연구)

  • Mun, Hyeon-Jun;Kim, Chung-Sup;Kim, Jong-Doo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.32 no.8
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    • pp.701-706
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    • 2008
  • A continuous 3D tube bending machine has been developed for industrial boiler panel production. The machine consists of a main bender, a sub bender, a side bender, tube feeding rollers and control system that includes data management system. Tube position is controlled by a numerical control system. The bending former can be easily replaced according to the shape of bending form. Reduction of working time and improvement of production capacity from the practice have been achieved by bending a long tube in the machine developed.

Prediction of maximum shear modulus (Gmax) of granular soil using empirical, neural network and adaptive neuro fuzzy inference system models

  • Hajian, Alireza;Bayat, Meysam
    • Geomechanics and Engineering
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    • v.31 no.3
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    • pp.291-304
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    • 2022
  • Maximum shear modulus (Gmax or G0) is an important soil property useful for many engineering applications, such as the analysis of soil-structure interactions, soil stability, liquefaction evaluation, ground deformation and performance of seismic design. In the current study, bender element (BE) tests are used to evaluate the effect of the void ratio, effective confining pressure, grading characteristics (D50, Cu and Cc), anisotropic consolidation and initial fabric anisotropy produced during specimen preparation on the Gmax of sand-gravel mixtures. Based on the tests results, an empirical equation is proposed to predict Gmax in granular soils, evaluated by the experimental data. The artificial neural network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) models were also applied. Coefficient of determination (R2) and Root Mean Square Error (RMSE) between predicted and measured values of Gmax were calculated for the empirical equation, ANN and ANFIS. The results indicate that all methods accuracy is high; however, ANFIS achieves the highest accuracy amongst the presented methods.

AFUNCTIONALGRADIENT-SIMULATEDMULTILAYERBENDERACTUATOR (경사기능특성을 모사한 적층 벤더 액츄에이터 특성)

  • Jeong, Soon-Jong;Koh, Hung-Huck;Ha, Mun-Su;Ha, Dea-Su;Song, Jae-Sung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.802-805
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    • 2004
  • 압전 액츄에이터는 다른 종류의 액츄에이터와 비교할 때 높은 강성, 빠른 응답성의 우수한 특성을 가지고 있다. 벤더형 액츄에이터는 높은 변위의 장점을 가지나 높은 전기장과 기계적 부하인가시에는 내부 응력이 증가하므로서 신뢰성이 감소한다는 단점을 가지고 있다. 이러한 단점을 보완하기 위하여 여러 방법으로 내부 응력을 줄이려는 시도가 있으며 그중 하나는 경사기능 소재나 경사기능 구조를 가지는 액츄에이터의 개발이다. 본 연구에서는 경사기능 특성을 모사한 액츄에이터 구조를 제작하고 그 특성을 조사하였다. 두 가지의 압전상수 d31= - 220 pC/N, d31 =- 100 pC/N를 가지는 세라믹층을 적층하여 벤더형 액츄에이터의 특성을 관찰하였다. 그 결과 두 종류의 세라믹층으로 적층한 액츄에이터가 한가지 특성의 세라믹으로 제작한 액츄에이터 보다 전압인가시 20%이상의 우수한 변위 특성을 나타내었다. 이러한 변화는 내부 응력의 감소에 기인한 것으로 예상된다.

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