基于灰色模型的机床切削温度预测分析  

Prediction Analysis of Tool Cutting Temperature Based on Gray Model

作　　者：谢国坤[1] 郑凯[1] XIE Guokun;ZHENG Kai(Department of Electrical Engineering,Xi′an Traffic Engineering Institute,Xi'an 710300,China)

机构地区：[1]西安交通工程学院电气工程学院,陕西西安710300

出　　处：《机械制造与自动化》2023年第1期134-136,共3页Machine Building & Automation

摘　　要：为有效预测机床的切削温度,以降低切削温度对工件表面质量和刀具的影响为目标,设计一种基于灰色模型的机床切削温度预测方法。以温度传感器为硬件核心设计机床切削温度采集单元,实现切削温度实时数据的采集与处理;以灰色GM(1,1)模型为基础建立切削温度预测数学模型;利用MATLAB对采集的温度数据进行预测仿真分析。研究结果表明:基于灰色GM(1,1)模型的切削温度预测值与实际切削温度的变化及增长规律相吻合,对工程人员的工艺制定与技术实施具有指导意义。To effectively predict the cutting temperature of machine tools and reduce the influence of cutting temperature on workpiece surface quality and tool,a method of predicting the cutting temperature of machine tools based on grey model is designed.The temperature sensor is used as the core hardware to design the cutting temperature acquisition unit to realize the real-time data acquisition and processing of cutting temperature.A mathematical model of cutting temperature prediction is established based on gray GM(1,1)model.MATLAB is applied to predict and simulate the temperature data collected.The results show that the predicted cutting temperature based on the gray GM(1,1)model is consistent with the change and growth law of the actual cutting temperature,which is of effective guiding significance to process development and technology implementation.

关 键 词：灰色模型 机床 切削温度 预测分析 

分 类 号：TG506[金属学及工艺—金属切削加工及机床]