Transactions of Materials Processing (소성∙가공)

The Korean Society for Technology of Plasticity and materials processing (한국소성∙가공학회)
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Prediction of Transverse Surface Crack using Classification Algorithm of Neural Network in Continuous Casting Process

연주공정에서 신경망의 분류 알고리즘을 이용한 횡방향 표면크랙 예측

  • Received : 2017.12.04
  • Accepted : 2018.03.09
  • Published : 2018.04.01
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Abstract

In the continuous casting process, the incidence of transverse surface cracks on the piece may occur by multiple and diverse variables. It is noted that mathematical models may predict only the occurance of the transverse surface cracks, but can require a lot of time (more than three days) to produce a result with this process. This study applied neural networks to predict whether the cracks on the piece surface occurs or does not occur. The computation time was shortened to three minutes, making it applicable to an on-line program, which predicts the non-cracks or cracks of the piece surface in the actual continuous casting process. In addition, the operating conditions to prevent the occurrence of the transverse surface cracks, using decision boundaries were also suggested.

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References

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