• Title/Summary/Keyword: 가공모델

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Application of an Artificial Neural Network Model to Obtain Constitutive Equation Parameters of Materials in High Speed Forming Process (고속 성형 공정에서 재료의 구성 방정식 파라메터 획득을 위한 인공신경망 모델의 적용)

  • Woo, M.A.;Lee, S.M.;Lee, K.H.;Song, W.J.;Kim, J.
    • Transactions of Materials Processing
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    • v.27 no.6
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    • pp.331-338
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    • 2018
  • Electrohydraulic forming (EHF) process is a high speed forming process that utilizes the electric energy discharge in fluid-filled chamber to deform a sheet material. This process is completed in a very short time of less than 1ms. Therefore, finite element analysis is essential to observe the deformation mechanism of the material in detail. In addition, to perform the numerical simulation of EHF, the material properties obtained from the high-speed status, not quasi static conditions, should be applied. In this study, to obtain the parameters in the constitutive equation of Al 6061-T6 at high strain rate condition, a surrogate model using an artificial neural network (ANN) technique was employed. Using the results of the numerical simulation with free-bulging die in LS-DYNA, the surrogate model was constructed by ANN technique. By comparing the z-displacement with respect to the x-axis position in the experiment with the z-displacement in the ANN model, the parameters for the smallest error are obtained. Finally, the acquired parameters were validated by comparing the results of the finite element analysis, the ANN model and the experiment.

Analysis of Door Height Difference and Door Flatness Difference of Built-in Side-by-Side Refrigerator Using Cabinet-Door Integrated Model (캐비닛-도어 통합모델을 이용한 빌트인 양문형 냉장고의 도어 상하단차와 앞뒤단차 해석)

  • Lee, Boo-Youn
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.17 no.5
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    • pp.76-83
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    • 2018
  • A cabinet-door integrated finite element model was constructed for a built-in side-by-side refrigerator with an ice dispenser, and its deformation was analyzed using the ANSYS finite element software. As loads, the food load needed to fill in the cabinet and doors and the thermal load occurring during normal operation conditions were taken into consideration. The door height difference (DHD) and door flatness difference (DFD) between the two doors of the freezing and refrigerating compartments were derived. The DHD and DFD under the assembled condition without applied loads satisfied the acceptance criteria specified by the refrigerator manufacturer. It appeared that the food load increases the DFD slightly. The thermal load tends to increase the differences because of the thermal deformation, especially the DFD, of the cabinet and doors.

Forced Vibration Analysis and Response Characteristics of a Vehicle Dull Progress Model (차량의 둔턱 진행 모델 강제진동해석과 응답특성)

  • Lee, Hyuk;Yoon, Moon-chul;Kim, Jong-Do
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.11
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    • pp.49-57
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    • 2020
  • The forced vibration characteristics for two impulse forces with time lag was discussed in the vehicle dull progress model. Detailed numerical analyses of the time domain were performed systematically. By the two exciting impulse forces, the responses of displacement, the velocity, and the acceleration were investigated in detail for the vehicle's vibration. Notably, the forced vibration responses in the time domain can be used to identify and monitor several vehicle vibration models. In order to define the responses of displacement, the velocity, and the acceleration, we applied a numerical technique (i.e., the Runge-Kutta-Gill method[1,2]). These variables were subsequently used to analyze the vehicle's vibration according to the time lapse and while it passed over a bump stock; moreover, the characteristics of the variables were analyzed in detail according to their force conditions. Finally, the intrinsic characteristics of the forced vibration were discussed in the context of the automobile model. Overall, our results indicate that the tested method can be successfully applied under different damped conditions.

Analysis of Cell Disruption in Microalgae Using Continuous Low Frequency Non-Focused Ultrasound (연속저주파를 이용한 미세조류 파쇄)

  • Choi, Jun-Hyuk;Kim, Gwang-Ho;Park, Jong-Rak;Jeong, Sang-Hwa
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.8
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    • pp.33-41
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    • 2021
  • Recently, many studies have been conducted on substituting fossil fuels with bio-refineries in existing industrial systems using biomass. Among the various bio-refineries, microalgae have received wide attention because it uses inorganic compounds to produce useful substances, which are extracted by a cell disruption process. Although numerous cell disruption methods exist, cell disruption efficiency has been studied by ultrasonic treatment. Ultrasound is a high-frequency (20 kHz or higher) sound wave and causes cell disruption by cavitation when passing through a solvent. In this study, we used the microalgal species Chlorella sp., which was cultured in a plate-type photobioreactor. The experiment was conducted using a continuous low-frequency processing device. The reduction of cells with time due to cell disruption was fitted using a logistic model, and optimum conditions for highly efficient cell disruption were determined by conducting experiments under multiple conditions.

Prediction of Impact Fracture for Tungsten Alloy Using the Mohr-Coulomb Fracture Model (Mohr-Coulomb 파단모델을 이용한 텅스텐 합금의 충격 파단 예측)

  • Noh, D.;Fazily, Piemaan;Yu, K.;Lee, S.;Ko, D.K.;Sung, M.J.;Huh, H.;Yoon, J.W.
    • Transactions of Materials Processing
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    • v.30 no.1
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    • pp.16-21
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    • 2021
  • A new concept of ammunition without the use of explosive gunpowder has been recently studied, which achieves performance equal to or higher than that of high explosives. Frangible Armor Piercing (FAP) is one of the concepts, which utilizes a tungsten alloy penetrator specialized for fragmentation. To investigate the fracture behavior of the tungsten alloy penetrator, Taylor impact tests were conducted at various impact velocities. Additionally, finite element analysis was performed to predict the fracture behavior of the tungsten alloy. Compression tests were also carried out at six strain rates for dynamic material properties and the dynamic hardening behavior was successfully predicted with the Lim-Huh model. Finally, the Mohr-Coulomb fracture model based on the mean stress was adopted to predict impact failure in Taylor impact simulation. The analysis predicts the deformation and fracture behaviors of the tungsten alloy successfully.

Variation of Collection Efficiency with Turbulence Model in a Mini Cyclone for Collecting Automobile Brake Fine Dust (자동차 브레이크 미세먼지 포집을 위한 미니 사이클론의 난류모델에 따른 포집효율 변화)

  • Han, Dong-Yeon;Lee, Young-Lim
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.3
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    • pp.47-52
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    • 2021
  • Fine dust generated from vehicle brakes accounts for a significant amount of fine dust from non-exhaust system. Since such brake fine dust contains a large number of heavy metal components that are fatal to the human body, a device capable of collecting them needs to be developed. A mini cyclone, one of the devices that can effectively collect fine dust, has the advantage of relatively simple shape and high collection efficiency. Therefore, in this study, the collection efficiency of the mini-cyclone was numerically analyzed using CFD in order to find out whether such a mini-cyclone is suitable for collecting brake fine dust. As a result, the cut-off diameter was predicted to be about 1.5㎛, which means that the particle trapping load of the filter can be drastically reduced. Therefore, there is a possibility that the mini-cyclone can be used to collect fine dust from disc brakes.

Adiabatic Analysis of 1180MPa Advanced High Strength Steel by Impact Weight (충격하중에 의한 1180MPa급 초고강도강의 단열해석)

  • Kim, Kun-Woo;Lee, Jae-Wook;Yang, Min-Seok;Lee, Seong-Yeop;Kim, Da-Hye;Lee, Jae-Jin;Mun, Ji-Hoon;Park, Ji-Won
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.8
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    • pp.93-98
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    • 2022
  • Adiabatic blanking is a method to improve productivity through an autocatalytic cycle that occurs repeatedly through plastic deformation and thermal softening caused by impact energy. In this study, an axisymmetric analysis model comprising a punch, die, holder, and specimen was developed to confirm the temperature and deformation characteristics caused by an impact load. Through this, the impact energy, diameter of the punch, gap between the punch and die, and the effect of the fillet were analyzed. Because this process occurs in a very short time, adiabatic analysis can be performed using the explicit time-integration method. The analysis, confirmed that it is necessary to design a structure capable of increasing the local temperature and plastic deformation by controlling the impact energy, working area, gap, and the fillet.

Development of Shaft Analysis Model for Power Transmission System Optimization (동력전달 시스템의 최적화를 위한 축 해석 모델 개발)

  • Lee, Ju-Yeon;Kim, Su-Chul
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.5
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    • pp.8-16
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    • 2021
  • This study develops a shaft analysis model for the optimization of the power transmission system. The finite element method was used for the shaft analysis model. The shaft and gear were assumed Timoshenko beams. Strength was evaluated according to DIN 743, and gear misalignment was calculated through ISO 6336 and the coordinate system rotation. The analysis software for a power transmission system was developed using Visual Studio 2019. The analysis results of the developed program were compared with those of commercial software (MASTA, KISSsoft, and Romax). We confirmed that the force, deformation, and safety factors at each node were the same as those of the commercial software. The absolute value of the gear misalignment of the developed program and commercial software was different. However, the gear misalignment tended to increase with increasing the displacement in the tooth width direction.

Characteristics Analysis of Highly Elastic Materials according to the Graphite Content and a Simulation Study of Physical Properties Prediction Using a Nonlinear Material Model (열팽창성 그래파이트 함량에 따른 고탄성 도료 소재의 특성 분석 및 비선형 재료모델을 활용한 물성 예측 시뮬레이션 연구)

  • Yu, Seong-Hun;Lee, Jong-Hyuk;Kim, Dae-cheol;Lee, Byung-Su;Sim, Jee-Hyun
    • Textile Coloration and Finishing
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    • v.34 no.4
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    • pp.250-260
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    • 2022
  • In this research, a high-elasticity acrylic emulsion binder with core-shell polymerization and self-crosslinking system is mixed with a flame-retardant water-dispersed polyurethane (PUD) binder. In addition, finite element analysis was conducted through virtual engineering software ANSYS by applying three representative nonlinear material models. The most suitable nonlinear material model was selected after the relative comparison between the actual experimental values and the predicted values of the properties derived from simulations. The selected nonlinear material model is intended to be used as a nonlinear material model for computational simulation analysis that simulates the experimental environment of the vibration test (ASTM E1399) and the actual fire safety test (ASTM E1966). When the mass fraction of thermally expandable graphite was 0.7%, the thermal and physical properties were the best. Among the nonlinear material models, the simulation result of the Ogden model showed the closest value to the actual result.

A Study on Performance Improvement of Multi-stage Pump Applying CFD Analysis Technique (CFD해석기법을 적용한 다단펌프 성능향상에 관한 연구)

  • Kim, Sang-Yu;Kim, Jae-Yeol;GAO, JIACHEN
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.3
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    • pp.70-76
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    • 2022
  • Recently, the demand for ultra-precision processing has increased owing to the increase in the demand for high-performance ultra-precision optical parts in the fields of information technology (IT), bio, healthcare, aerospace, and future automobiles. In this study, a performance improvement of a multi-stage pump was achieved by improving the pump casing structure rather than using the existing performance improvement method. To verify the performance improvement, the CFD analysis reliability of the existing pump, Pump A, was verified using the FLUENT app in the analysis software ANSYS, and the pump casing was improved through the verified CFD analysis of Pump B. Therefore, we want to analyze the performance improvement.