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Thin slab casting and visualization Breakout Prediction System

Author: WangJianWei
Tutor: LiQiang
School: Yanshan University
Course: Mechanical Design and Theory
Keywords: Thin slab casting Sticking Breakout Breakout prediction BP neural network Visualization
CLC: TF341.6
Type: Master's thesis
Year: 2011
Downloads: 45
Quote: 1
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Abstract


Breakout is a continuous casting production catastrophic accidents , not only endanger the personal safety and damage to the equipment , but also seriously affect the quality of slab , to the enterprise caused huge economic losses. Therefore, the formation mechanism for the breakout to conduct research and develop effective breakout prediction system to reduce or avoid the breakout has important significance and economic value. This paper discusses the formation mechanism of bonding breakout , and then summed up the casting factors induce bonding and gives the corresponding preventive measures. LM algorithm using the traditional BP neural network learning algorithm has been optimized and applied to thin slab casting and visualization Breakout Prediction System . Establishing the timing network to identify individual thermocouple temperature changes in time series of waveforms on whether the adhesive characteristics and the adhesion occurs when the gap under the slab propagation mechanism to establish a spatial network , the network at a timing determined adhesion occurs when used to further determine whether the group took place on the space even a single thermocouple temperature bonding characteristic waveform delivery. Developed a thin slab casting and visualization breakout prediction system, the system based on WINDOWS platform, using Microsoft Visual C 6.0 programming software , combined with the finite element analysis software ANSYS secondary development function to program implementation. System's main features include: data preprocessing, neural networks breakout prediction , thermocouple temperature real-time display , thermocouple temperature curve dynamic display, copper mold hot face cloud real-time display , alarm information processing. From a steel production site data collected select breakout signs accord samples and normal samples Breakout Prediction System for neural network prediction module training and testing . Then the application of the history of the mill temperature data were visualized thin slab casting breakout prediction system off-line simulation , and achieved good results.

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CLC: > Industrial Technology > Metallurgical Industry > Metallurgical machinery,metallurgical production automation > Steel-making machinery and production automation > Steel-making machinery > For continuous casting equipment
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