基于几何特征的工件加工能耗预测研究

发布时间：2018-05-02 08:10

本文选题：几何特征 + 混合推理　；参考：《组合机床与自动化加工技术》2017年11期

【摘要】：机械加工过程中影响能耗的因素很多,工件结构设计阶段和加工工艺阶段的参数等都会影响能耗。为了利用工件结构设计阶段参数实现能耗预测,通过控制工件的几何特征来控制最终的加工能耗,将工件拆分为单个几何特征,在分析工件几何特征与加工能耗关系的基础上,提出了一种基于几何特征的工件加工能耗预测方法。建立了基于几何特征的工件加工能耗模型;构建了几何特征属性信息的特征表;提出了通过历史能耗数据预测加工能耗的方法:以实例推理为主、规则推理为辅的混合推理技术进行几何特征加工能耗的匹配检索,并采用指数平滑法修正历史能耗。最后以某主轴的加工能耗预测为例验证了该方法的有效性。
[Abstract]:There are many factors that affect the energy consumption in the process of machining, and the parameters of the structural design stage and the process stage of the workpiece will affect the energy consumption. In order to realize energy consumption prediction by using the parameters of workpiece structure design stage, the final processing energy consumption is controlled by controlling the geometric feature of workpiece, and the workpiece is divided into single geometric feature. Based on the analysis of the relationship between the geometric feature of workpiece and the energy consumption of machining. A method for predicting the energy consumption of workpiece machining based on geometric features is proposed. In this paper, a workpiece processing energy consumption model based on geometric features is established, a feature table of geometric feature attribute information is constructed, and a method to predict processing energy consumption through historical energy consumption data is proposed: case-based reasoning is the main method. The hybrid reasoning technique supplemented by rule reasoning is used to match and retrieve the energy consumption of geometric feature processing, and the exponential smoothing method is used to correct the historical energy consumption. Finally, the effectiveness of the method is verified by the prediction of processing energy consumption of a spindle.
【作者单位】：武汉科技大学机械自动化学院;
【基金】：国家高技术研究发展计划(863)计划典型机床绿色生产工艺技术评估及应用支持系统研究(2014AA041504)
【分类号】：TH16

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