Energy Consumption Modeling and Parameter Optimization of Tower Combined Diamond Circular Saw Blade
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摘要: 为实现塔形组合式金刚石圆盘锯在荒料锯切过程中功率的准确预测,以组合锯切系统中单锯片的单磨粒平均未变形切屑厚度为媒介,建立了锯切功率的参数模型,并对其进行修正,提出了一种少样本快速预测模型,通过锯切实验测量不同参数组合下的锯切功率,采用多元线性回归方法拟合数据获取可靠的模型系数。最后以锯切参数为优化变量,以锯切比能和锯切时间最小为优化目标建立优化模型,并采用改进粒子群算法对模型进行优化求解。试验结果表明,参数模型充分的解释了各锯切参数对锯切功率的影响,能够准确的预测不同锯片组合方式下的锯切功率,改进的粒子群算法有较好的优化性能,优化后的参数能够显著的降低锯切功率。
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关键词:
- 塔形组合式金刚石圆盘锯 /
- 能耗模型 /
- 平均未变形切屑厚度 /
- 参数优化
Abstract: In order to precisely forecast the power of Tower combined diamond circular saw blade during material sawing, a model for sawing power was established using the average thickness of an undeformed chip from a single grinding grain of a solitary saw blade within the combination saw as a medium, and was thereafter refined. A fast but accurate prediction model, requiring only a small number of samples, was presented. Sawing power was measured through a range of parameter combinations via sawing experiments, and model coefficients were obtained through fitting the data using multivariate linear regression techniques. An optimization model was then established, with sawing parameters as optimization variables. The objectives of this model were to minimize the sawing specific energy and to reduce the sawing time. An optimized particle swarm algorithm was adopted to solve the model. The experimental results reveal that the parameter model can completely elucidate the influence of various sawing parameters on sawing power, with the model accurately forecasting the sawing power under different saw blade combinations. The improved particle swarm algorithm displays strong optimization performance, with optimized parameters contributing to significant reductions in sawing power.
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