Wear Model of Backup Roll in Plate Mills by Simulated Annealing Algorithm
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摘要: 在大量實測數據的基礎上,結合理論分析,用統計方法建立起適合工程應用的支持輥磨損模型.該模型是一個多峰且高度非線性系統的半經驗公式,其參數的估計復雜且計算量大.借助于帶記憶的模擬退火算法,得到有效的解決.計算結果表明該模型具有較高的預報精度.在武鋼2800四輥軋機應用后,取得明顯效果.Abstract: A statistical wear model of backup roll was built up based on a large number of measured data. The model is a multiple extremes and high non-linearity semi-theoretic formula whose pattern and magnitude are hardly defined with classical optimization methods because the computation is large and complex. By using the simulated annealing algorithm with memory, the coefficients in the roll wear model are optimized. The calculation results indicate a higher precision for prediction. After the model was applied in a 2800 4-roll mill of Wuhan Iron and Steel (Group) Co, the plate shape had been notably improved.
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Key words:
- plate /
- backup roll /
- wear /
- simulated annealing algorithm /
- profile and flatness
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