CVC辊形以其较强的凸度控制能力在热连轧中有着广泛的应用,但是CVC辊形不具有均匀磨损的能力,其磨损往往比较严重,且呈现出非对称性.针对该特点提出CVC工作辊非对称磨损的表征方法,利用该方法对某1800 mm CSP生产线下游机架CVC工作辊非对称磨损情况进行分析.统计结果表明,下游机架工作辊磨损多为非对称形式,并与CVC辊形呈现出一定的对应性.在此基础上,提出辊径对整体磨损影响系数及辊径对轧制力影响系数2个新的磨损模型参数,并建立针对CVC轧辊的非对称磨损预报模型,利用遗传算法对模型参数进行优化,并利用实测数据进行验证,改进后磨损模型精度比常规磨损模型精度平均提高了约35%.
The CVC work roll is widely used because of its strong crown control ability in hot strip rolling. However, CVC work roll can't uniform the roll wear. So the CVC work roll wear is serious and its wear form is asymmetric. The characterization method of asymmetric wear for CVC work roll is proposed in the current study. With this method,the downstream CVC work roll wears of the 1800 mm CSP production line are analyzed. It is found that the CVC work roll wears of downstream stands are always asymmetric and there is a relationship between the CVC work roll contour and the CVC work roll wear contour. Based on the analysis,the influence coefficient of roll diameter for the CVC work roll wear and the influence coefficient of roll diameter for the rolling pressure are proposed. The asymmetric wear prediction model for CVC work roll is built,the parameters of the model are optimized by using genetic algorithm. The asymmet-ric wear prediction model has been verified with measured data,the accuracy of the improved wear prediction model is improved by about 35%compared with the conventional wear prediction model.
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