• 제목/요약/키워드: Prediction of deformation

검색결과 795건 처리시간 0.038초

AZ31 마그네슘 합금의 고온 크리프 특성 (Creep Properties of AZ31 Magnesium Alloy at Elevated Temperature)

  • 정진성;김호경
    • 한국안전학회지
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    • 제24권6호
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    • pp.20-26
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    • 2009
  • The creep deformation behavior of AZ31 magnesium alloy was examined in the temperature range from 573 to 673K (0.62 to 0.73 Tm) under various constant stresses covering low strain rate range from $4{\times}10^{-9}\;s^{-1}$ to $2{\times}10^{-2}\;s^{-1}$. At low stress level, the stress exponent for the steady-state creep rate was ~3 and the present results were in good agreement with the prediction of Takeuchi and Argon model. At high stress level, the stress exponent was ~5 and the present results were in good agreement with the prediction of Weertman model. The transition of deformation mechanism from solute drag creep to dislocation climb creep could be explained in terms of solute-atmospherebreakaway concept.

上界解法에 의한 軸對稱 管의 前方押出時 塑性流動 硏究 (A Study on the Plastic Flow of Axisymmetric Forward Extrusion of Tubes Using Upper-Bound Analysis)

  • 한철호
    • 대한기계학회논문집
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    • 제16권7호
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    • pp.1314-1321
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    • 1992
  • 본 연구에서는 중실형의 해석을 확장하고 유선함수와 상계해법을 이용하여 일 반적 경계역을 갖는 관형압출의 체계적 해석법을 연구해서 보다 정확한 압출하중의 예 측 뿐아니라 소성변형역 및 소성유동도 예측 가능한 방법을 제안하고자 한다.

롤변형에서의 반경방향 변위 예측 온라인 모델 (FE-based On-Line Model for the Prediction of Radial Displacements in Roll Deformation)

  • 조준호;황상무
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2009년도 제7회 압연 심포지엄
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    • pp.19-22
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    • 2009
  • It is essential to predict the deformed roll profile for the prediction of the strip profile in rolling process. The work roll of the Sendzimir mill has a small diameter in comparison to a barrel length, so that it is well deformed by the rolling pressure. Also it has a complex roll system, so it is difficult to analyze the roll deflection. In this paper, 3D finite element method is used for the analysis of the roll deflection of the Sendzimir due to the contact between rolls. But it takes much time to get the results, so that the on-line model to evaluate the radial deformation of a roll is developed on the basis of the finite element method.

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단조 후 소재 절삭에 따른 탄성회복 변형의 유한요소예측 (Finite Element Prediction of Deformation of Material due to Springback after Material Removal of a Forging)

  • 전만수;정완진;정승원
    • 소성∙가공
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    • 제26권4호
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    • pp.205-209
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    • 2017
  • In this paper, finite element prediction of deformation of material due to springback after material removal by an axisymmetric forging fabrication at room temperature is conducted. An elastoplastic finite element method is employed considering die plastic deformation. The predictions of a springback analysis conducted after the final stroke of an axisymmetric cold forging process containing residual stresses are utilized to be mapped onto the final material after the material removal. It is assumed that material removal occurs at an instant, i.e., all the material to be removed disappears at once. The predictions are compared with experiments, revealing strong qualitative agreement.

4340강의 단열 전단밴드생성에 대한 유한요소해석 및 실험적 고찰 (Finite element analysis and experiment on the formation of adiabatic shear band in 4340 steel)

  • 정동택;유요한
    • 대한기계학회논문집
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    • 제18권5호
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    • pp.1134-1143
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    • 1994
  • A study of adiabatic shear band formation and propagation of 4340 steel was done using the stepped speciment which was subjected to high velocity impact. The high velocity impact was performed on compression Hopkinson bar impact machine. After the controlled impact, the specimen was prepared for visual inspection. Numerical simulation was also performed with same geometrical dimension using explicit time integration finite element code. Experimental results were then compared with the numerical prediction. It was found that the numerical prediction is quite accurate, average thickness of adiabatic shear band is about $10{\mu}m$, the macro crack around shoulder is due to folding, and the deformation control ring is effective to freeze the propagation of adiabatic shear band.

표면크랙 예측을 위한 결정립 제어 레오로지 소재 표면의 나노 변형특성에 관한 연구 (A Study on the Nano-Deformation Characteristics of Grain-Size Controlled Rheology Material Surfaces for Surface Crack Prediction)

  • 윤성원;김현일;강충길
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.355-358
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    • 2004
  • In this study, the deformation characteristics of grain-size controlled rheology materials surfaces were investigated as a part of the research on the surface crack prediction in semi-solid formed automobile components. The microstructure of rheology Al-Si alloys consists of primary and eutectic regions. In eutectic regions the crack initiation begins with initial fracture of the eutectic silicon particles and inside other intermetallic phases. Nano-deformation characteristics in the eutectic and primary region of semi-solid aluminum alloys (356 alloy and 319 alloy) were investigated through the nanoindentation/scratch experiments and the AFM observation.

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열연 공정 정상상태 판 프로파일 예측 - PartⅠ: 유한요소 해석 (Prediction of Steady-state Strip Profile during Hot Rolling - PartⅠ: FEM Analysis)

  • 이재상;황상무
    • 소성∙가공
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    • 제25권1호
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    • pp.56-60
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    • 2016
  • Precise prediction and control of the strip profile is crucial for automatic process set-up and operation of a hot strip mill. In the current study, we present the effect of post-deformation on the steady-state strip profile. The process was simulated by a 3-D elastic-plastic finite element (FE) analysis. Comparisons are made between the strip profile measured at the roll exit and the steady-state strip profile. The results raised an issue with regard to the importance of taking into account the effect of post-deformation.

Application of Artificial Neural Network method for deformation analysis of shallow NATM tunnel due to excavation

  • Lee, Jae-Ho;Akutagawa, Shnichi;Moon, Hong-Duk;Han, Heui-Soo;Yoo, Ji-Hyeung;Kim, Kwang-Yeun
    • 한국암반공학회:학술대회논문집
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    • 한국암반공학회 2008년도 국제학술회의
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    • pp.43-51
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    • 2008
  • Currently an increasing number of urban tunnels with small overburden are excavated according to the principle of the New Austrian Tunneling Method (NATM). For rational management of tunnels from planning to construction and maintenance stages, prediction, control and monitoring of displacements of and around the tunnel have to be performed with high accuracy. Computational method tools, such as finite element method, have been and are indispensable tool for tunnel engineers for many years. It is, however, a commonly acknowledged fact that determination of input parameters, especially material properties exhibiting nonlinear stress-strain relationship, is not an easy task even for an experienced engineer. Use and application of the acquired tunnel information is important for prediction accuracy and improvement of tunnel behavior on construction. Artificial Neural Network (ANN) model is a form of artificial intelligence that attempts to mimic behavior of human brain and nervous system. The main objective of this paper is to perform the deformation analysis in NATM tunnel by means of numerical simulation and artificial neural network (ANN) with field database. Developed ANN model can achieve a high level of prediction accuracy.

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선삭가공에서 공작물의 형상오차 예측에 관한 연구 (A Study on the Geometric Error Prediction of Workpiece in Turning)

  • 이문재;김동현;이춘만
    • 한국기계가공학회지
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    • 제10권6호
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    • pp.9-15
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    • 2011
  • Any relative deformation between the cutting tool and the workpiece at machining point results directly in geometric and dimensional errors. The sources of relative deformations between the cutting tool and the workpiece at the contact point may be due to vibration, thermal deformation and cutting forces. In this paper, geometric error prediction of workpiece in turning has been investigated. To reach this goal, turning experiments are carried out according to selected cutting conditions. The variable cutting conditions are cutting speed, depth of cut and feed rate. The results will be useful as a guidance to select cutting conditions to improve the geometrical accuracy.

이동열원을 고려한 레이저 보조가공에서 절삭공구와 홀더의 변형 예측에 관한 연구 (A Study on the Cutting Tool and Holder Deformation Prediction undergoing Laser-assisted Machining with Moving Heat Sources)

  • 정재원;이춘만
    • 한국정밀공학회지
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    • 제26권9호
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    • pp.127-134
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    • 2009
  • Laser-assisted machining uses primarily laser power to heat the local area before the material is removed. It not only efficiently reduces the cutting force during the manufacturing process but also improves the machining characteristics and accuracy with regard to difficult-to-machine materials. The prediction of relative deformations between the cutting tool and workpiece is important to improve the accuracy of machined components. This paper presents the deformation errors caused for a cylindrical workpiece by thermal effects in the laser-assisted machine tool using finite element method. The results can be used to increase the cutting accuracy by compensating thermal distortion prior to laser-assisted machining.