• Title/Summary/Keyword: process simulation

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Finite Element Analysis Simulation for Roll Forming Process (3차원 유한요소법에 의한 롤 포밍 공정 해석 시뮬레이션)

  • 김낙수
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.03b
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    • pp.207-212
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    • 1999
  • A computational method based on the three-dimensional finite element method is developed for the deformation analysis of roll forming process. the method approximates the process as a kinematically steady state deformation of strip. For industrial usefulness of the simulation method several rolls with arbitrary shapes in one stand can be considered. The shapes and the thickness distributions of strip after roll forming were examined by comparing computation results with experiments It is concluded that the tool is useful enough to predict the process. The overall simulation method was integrated into a sorftware package to help the industrial roll-design.

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Forming Simulation of the Extrn-Bending Process of the Angle Product with '${\wedge}$' Section ([ '${\wedge}$' ]단면 앵글 구조재의 압출굽힘 가공에 관한 성형해석)

  • Lee K. K.;Jin I. T.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2004.10a
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    • pp.346-349
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    • 2004
  • In the previous experimental study about extru-bending of angle product, the bending of extruded angle products with the '${\wedge}$' section and 'ㄱ' section can be abtained by the hot metal extru-bending machine with the two punches moving in the different velocity. The bending curvature can be controlled by the different velocity of billets through the two-hole container. This paper describes simulation of extru-bending process by the difference of punch velocities. The result of the forming simulation by $DEFORM^{TM}-3D$ shows that the bending phenomenon at the die exit during extrusion can be abtained by the two punches moving in the different velocity. And it is possible to design extrusion dies and to control the curvature of product through the simulation of extru-bending process by analysis

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Modeling of Electrical Characteristics in Poly Silicon Thin Film Transistor with Process Parameter (다결정 실리콘 박막 트랜지스터에서 공정 파라미터에 따른 전기적 특성의 모델링)

  • 정은식;최영식;이용재
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.11a
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    • pp.201-204
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    • 2001
  • In this paper, for modeling of electrical characteristics in Poly Silicon Thin Film Transistors with process parameters set up optimum values. So, the I-V characteristics of poly silicon TFT parameters are examined and simulated in terms of the variations in process parameter. And these results compared and analyzed simulation values with examination value. The simulation program for characteristic analysis used SUPREM IV for processing, Matlab for modeling by mathematics, and SPICE for electric characteristic of devices. Input parameter for simulation characteristics is like condition of device process sequence, these electric characteristic of I$_{D}$-V$_{D}$, I$_{D}$-V$_{G}$, variations of grain size. The Gate oxide thickness of poly silicon are showed similar results between real device characteristics and simulation characteristics.ristics.

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Developing a Simulator on the Manufacturing Process of Electrical Substation System (전력용 변전시스템 제조공정 시뮬레이터 개발)

  • Kim, Hyuk;Lee, Kwang-Soo;Cho, Gyu-Sung
    • Journal of Korea Multimedia Society
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    • v.18 no.1
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    • pp.81-87
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    • 2015
  • This research suggests a simulator regarding the Manufacturing Process of Electrical Substation System using a simulation method. This study is to propose and apply a new concept of simulation modeling, referred to as integrated Aspect-Oriented Modeling Approach (i-AOMA), in order to efficiently support the design and analysis of a Manufacturing Process of Electrical Substation System. The modeling based on i-AOMA can support easy generation of lots of alternative processes to meet simulation requirements of Manufacturing Process of Electrical Substation System in real case studies.

Implementation of an simulation-based digital twin for the plastic blow molding process (플라스틱 블로우몰딩 공정의 해석기반 디지털 트윈 구현)

  • Seok-Kwan Hong
    • Design & Manufacturing
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    • v.17 no.3
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    • pp.1-7
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    • 2023
  • Blow molding is a manufacturing process in which thermoplastic preforms are preheated and then pneumatically expanded within a mold to produce hollow products of various shapes. The two-step process, a type of blow molding method, requires the output of multiple infrared lamps to be adjusted individually, so the process of finding initial conditions hinders productivity. In this study, digital twin technology was applied to solve this problem. A blow molding simulation technique was established and simulation-based metadata was generated. A response surface ROM (Reduced Order Model) was built using the generated metadata. Then, a dynamic ROM was constructed using the results of 3D heat transfer analysis. Through this, users can quickly check the product wall thickness uniformity according to changes in the control value of the heating lamp for products of various shapes, and at the same time, check the temperature distribution of the preform in real time.

Prediction of Multi-Physical Analysis Using Machine Learning (기계학습을 이용한 다중물리해석 결과 예측)

  • Lee, Keun-Myoung;Kim, Kee-Young;Oh, Ung;Yoo, Sung-kyu;Song, Byeong-Suk
    • Journal of IKEEE
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    • v.20 no.1
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    • pp.94-102
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    • 2016
  • This paper proposes a new prediction method to reduce times and labor of repetitive multi-physics simulation. To achieve exact results from the whole simulation processes, complex modeling and huge amounts of time are required. Current multi-physics analysis focuses on the simulation method itself and the simulation environment to reduce times and labor. However this paper proposes an alternative way to reduce simulation times and labor by exploiting machine learning algorithm trained with data set from simulation results. Through comparing each machine learning algorithm, Gaussian Process Regression showed the best performance with under 100 training data and how similar results can be achieved through machine-learning without a complex simulation process. Given trained machine learning algorithm, it's possible to predict the result after changing some features of the simulation model just in a few second. This new method will be helpful to effectively reduce simulation times and labor because it can predict the results before more simulation.

Numerical Study on Flexible Forming Process for Sheet Metal (박판용 가변성형공정의 수치적 연구)

  • Heo, S.C.;Seo, Y.H.;Park, J.W.;Ku, T.W.;Song, W.J.;Kim, J.;Kang, B.S.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.10a
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    • pp.281-284
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    • 2009
  • Flexible forming process for sheet metal using reconfigurable die is introduced based on numerical simulation. Numerical simulation of sheet metal forming process is carried out by using flexible dies model instead of conventional matched die set. Elastic cushion which has high resilience behavior from excessive deformation are inserted between forming punches and blank material for smoothing the forming surface which has discrete due to characteristics of the flexile die. As an elastic cushion, urethane pads are utilized using hyperelastic material model in the simulation. Formability in view of surface defect such as onset of dimple is compared with regard to various punch sizes. Consequently, it is confirmed that the flexible forming process for sheet material has appropriate capability and feasibility for manufacturing of smoothly curved surface instead of conventional die forming process.

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Numerical Simulation of NIL Process Based on Continuum Hypothesis (연속체 가정을 통한 NIL 공정의 전산모사)

  • Kim, Seung-Mo;Lee, Woo-Il
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.532-537
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    • 2007
  • Nano imprint lithography(NIL) is a cost-efficient, high-throughput processing technique to transfer nano-scale patterns onto thin polymer films. Polymers used as the resist include UV cured resins as well as thermoplastics such as polymethyl-methacrylate(PMMA). In this study, an analytic investigation was performed for the NIL process of transferring nano scale patterns onto polymeric films. Process optimization calls for a thorough understanding of resist flow during the process. We carried out 2D and 3D numerical analyses of resist flow during NIL process. The simulation incorporated continuum-hypothesis and the effects of surface tension were taken into account. For a more effective prediction of free surface, fixed grid scheme with the volume of fluid (VOF) method were used. The simulation results were verified with experimental results qualitatively. And the parametric study was performed for various process conditions.

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The performance assessment of PSA process using combined dynamic simulation (혼합사건 동적모사를 이용한 PSA공정 성능 평가)

  • Na, Kwang-Sam;Moon, Il;Han, Jae-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.432-435
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    • 1996
  • The performance of one-column isothermal PSA process is assessed by dynamic simulator, gPROMS. The four-step and five-step processes are compared. A five-step process is employed in order to show the effect of the addtional cocurrent depressurization step on the four-step PSA process. Two processes parameters, purity and recovery of SO$_{2}$ are used for the performance comparison. The results of dynamic simulation show that four-step process is superior to five-step process in recovery, but not in purity.

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Simulation of the dihydrate process for the production of phosphoric acid

  • Yeo, Y.K.;Cho, Y.S.;Moon, B.K.;Kim, Y.H.
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10b
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    • pp.875-878
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    • 1988
  • In this work it is shown how the methods used in chemical engineering for the analysis and simulation of processes may be applied to the actual phosphoric acid plant. Attention has been focused on the dihydrate process for which the necessary fundamental experimental data and plant operation data are available. The results of the simulation have shown that a reasonable description of the process at hand is possible by the proposed method. However, because of the complexity of the process, of the limited basic experimental data reported in literature, and the limitations of mathematics, the model was somewhat idealized and gave a reliable representation of the influence of only a few of the variables that affect the performance of the plant.

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