• 제목/요약/키워드: rolling force prediction model

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신경망을 이용한 냉연 압하력 예측 (Rolling Force Prediction in Cold rolling Mill using Neural Networks)

  • 조용중;조성준
    • 산업공학
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    • 제9권3호
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    • pp.298-305
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    • 1996
  • Cold rolling mill process in steel works uses stands of rolls to flatten a strip to a desired thickness. Most of rolling processes use mathematical models to predict rolling force which is very important to decide the resultant thickness of a coil. In general, these mathematical models are not flexible for variant coil types and cannot handle various elements which is practically important to decide accurate rolling force. A corrective neural network is proposed to improve the accuracy of rolling force prediction. Additional variables-composition of the coil, coiling temperature and working roll parameters-are fed to the network. The model uses an MLP with BP to predict a corrective coefficient. The test results using 1,586 process data collected at POSCO in early 1995 show that the proposed model reduced the prediction error by 30% on average.

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유한요소법에 기초한 박판에서의 압하력 및 압연동력 정밀 예측 On-Line모델 (II) 장력의 영향 (FE-based On-Line Model for the Prediction of Roll Force and Roll Power in Finishing Mill (II) Effect of Tension)

  • 곽우진;김영환;박해두;이중형;황상무
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2001년도 추계학술대회 논문집
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    • pp.121-124
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    • 2001
  • On-line prediction model which calculate roll force, roll power and forward slip of continuous hot strip rolling was built based on the results of plane strait rigid-viscoplastic finite element process model. Using the integrated FE process model, a series of finite element simulation was conducted over the process variables, and the influence of various process conditions on non-dimensional parameters was inspected. The prediction accuracy of the proposed on-line model under front and back tension is examined through comparison with predictions from a finite element process model over the various process conditions. In addition, we examined the validity of the on-line prediction model through comparison with roll force of experiment in hot rolling.

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A study on the improvement of thickness accuracy in a plate mill

  • Lee, Duk-Man
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.723-727
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    • 2003
  • In this paper, two methods are discussed for good rolling force prediction in a plate mill. One is about the development of a long and a short learning scheme using a Neural Network for normal rolling and the other is about a mathematical model improvement by considering microstructural changes for controlled rolling. The research results are implemented in a on-line system of Pohang Works in POSCO and the field tests have showed that the prediction accuracies of rolling force are highly improved.

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판 압연에서 압하력 및 장력 분포 예측 모델 개발 (Development of Mathematical Model for the Prediction of Roll Force and Tension Profiles in Flat Rolling)

  • 김용기;황상무
    • 소성∙가공
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    • 제19권6호
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    • pp.344-351
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    • 2010
  • This paper presents a precision on-line model for the prediction of the roll force and tension distributions across the strip in hot strip rolling. The approach is based on an approximate 3-D theory of rolling, and in particular, considers the effect of pre-deformation of the strip, which occurs near the roll entrance before the strip enters the bite zone. The prediction accuracy of the proposed model is examined through comparison with the predictions from the 3-D finite element models.

연속냉간압연에서의 압하력 예측을 위한 모델 개발에 관한 연구 (A Study on Development of Model for Prediction of Rolling Force in Tandem Cold Rolling Mill)

  • 손준식
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.491-496
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    • 2000
  • In the tandem cold rolling mill, the quality is very important and requirements for thickness accuracy become more strict. Howerver, the mathematical model for prediction of rolling force was not considered an elastic deformation at the entry and delivery side of the contacted area between the worked roll and rolling strip so that where was so difficult to control of the thickness. To overcome this problem, the mathematical model included an elastic deformation of strip has been developed and applied to the field in order to predict the rolling force. The simulated results showed that the effect of elastic recovery should be included the model, even f the effect of elastic compression was not important.

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열연 판형상 예측 수식모델 개발 (Mathematical expression for the Prediction of Strip Profile in hot rolling mill)

  • 조영석;황상무
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 춘계학술대회 논문집
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    • pp.70-73
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    • 2004
  • The approach in this thesis is for prediction of deformed strip profile in hot rolling mill. This approach shows how to make an expression as a mathematical form in predicting strip profile. This approach is based on the velocity field, shear stress and material flow on the strip edge along width direction and lateral displacement and stress along width are analytically calculated. Roll force is calculated in each section and then combined together to show roll force distribution along width. All the assumptions to make equation form for this approach are supported by FEM simulation result and the result of model is verified by FEM result. So, this model will supply very useful tool to the researcher and engineers which takes less time and has similar accuracy in predicting roll force profile comparing to FEM simulation. This model has to be combined with deformed roll profile model, which include thermal crown prediction and wear prediction model to predict deformed strip profile.

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연속냉각압연에서의 압연하중 예측정도 향상에 대한 연구 (A Study on the Improvement of Prediction Accuracy for Rolling Force in Continuous Cold Rolling Mill)

  • 송길호;박해두;김신일
    • 대한기계학회논문집A
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    • 제20권7호
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    • pp.2257-2265
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    • 1996
  • In the cold rolling mill, it is very important that a constrained static flow stress of rolled strip and rolling force calculation model be exactly considered to improve an prediction accuracy for rolling forces. Therefore, in this study, the values of the constrained static flow stress are used by deriving the regression equation which is a function of rolling conditions(FDT, CT) and chemical compositions(C, Si, Mn), previously applied by making the tables of yield strength for hot coils with size. And with the consideration that an elastic deformation part of an rolled strip appears at the entry and delivery side of the contacting area between the work roll and rolled strip is calculated. By applying these methods, the more accurate prediction for rolling force is obtained. As a results, the deviation of thickness is significantly reduced in the rolling direction.

연속냉간압연기 제어모델의 적응수정방법에 관한 연구 (A study on the adaptive method of control model for tandem cold rolling mill)

  • 이원호;이상룡
    • 대한기계학회논문집A
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    • 제21권7호
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    • pp.1030-1041
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    • 1997
  • The control model in the tandem cold rolling mill consists of many mathematical theories and is used to calculate the reference values such as the roll gap and the rolling speed for good operation of rolling mill. But, the control model used presently has a problem causing inaccurate prediction of the rolling force. By the parameter identification, it was found that the main factor causing inaccurate prediction of the rolling force was incorrect modeling of the friction coefficient and the flow stress. To get rid of the erroneous factor new adaptive schemes are suggested in this work. Those are a long-time adaptation by the iterative least-square method and a short-time adaptation by the recursive weighted least-square method respectively. The new equations for the friction coefficient and the flow stress are derived by applying the suggested adaptive algorithms. Through the on-line test in an actual mill, it is proved that the rolling force predicted by the new equations is more accurate than the one by the existing equations ever used.

열연 조압연공정에 있어서의 평균온도 예측모델 개발 (Development of Prediction Model for Average Temperature in the Roughing Mill)

  • 문창호;박해두
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2004년도 제5회 압연심포지엄 신 시장 개척을 위한 압연기술
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    • pp.368-377
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    • 2004
  • A mathematical model was developed for the prediction of the average temperature and RDT(RM Delivery temperature) in a roughing mill. The model consisted of three parts as follows (1) The intermediate numerical model calculated the deformation and heat transfer phenomena in the rolling: region by steady state FEM and the heat transfer phenomena in the interpass region by unsteady state FEM (2) The Off-line prediction model was derived from non-linear regression analysis based on the results of intermediate numerical model considering the various rolling conditions, (3) Using the heat flux in rolling region, temperature profile along thickness direction was calculated. For validation of the presented model, the rolling force per pass and RDT measued in on-line process was compared with those of model and the results showed close agreement with the existing data. In order to demonstrate the effectiveness of the proposed model, the various rolling conditions was tested.

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고강도강의 냉간 조질 압연 시 호일 압연이론을 이용한 압연하중의 예측 (Roll Force Prediction of High-Strength Steel Using Foil Rolling Theory in Cold Skin Pass Rolling)

  • 송길호;정제숙
    • 대한기계학회논문집A
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    • 제37권2호
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    • pp.271-277
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    • 2013
  • 냉간압연 및 소둔공정에서의 조질압연 과정은 강종별로 적정 연신율을 부여함으로서 프레스 가공시 항복점 연신 현상을 제거해주는 중요한 공정이다. 적정 연신율 확보를 위해서는 강종별, 사이즈별 정확한 압연하중 예측이 필수이다. 열간 및 냉간압연과는 달리 조질압연에서는 2%이내의 연신율을 부과하는 공정이므로 압연하중 작용 시 롤 바이트 내 에서의 롤의 탄성변형 거동이 복잡하여 정확한 압연하중을 예측하기가 어려워 예측모델이 정립되어 있지 않다. 그럼에도 불구하고 최근 인장강도 590MPa 급 이상의 자동차용 고강도강 개발이 가속화 됨에 따라 조질압연시 정확한 압연하중의 예측은 더욱더 중요하게 되었다. 따라서 본 연구에서는 조질 압연 시 롤 바이트 내에서 롤의 변형거동이 유사하다고 알려져 있는 호일(foil)압연 이론 식을 이용해 조질 압연 시 전체 생산 강종을 대상으로 압연하중 예측 가능성에 대해 검토하였다. 그 결과 인장강도 350MPa 이상 980MPa 이하의 강종에 대해서는 non circular model 이 circular 모델보다 압연하중 예측 정도가 우수하며, 이 영역에서 압연하중 예측 모델로의 적용이 가능함을 확인하였다.