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基于灰色系统的小型精密机床热误差模型
引用本文:徐洋,茅健. 基于灰色系统的小型精密机床热误差模型[J]. 华南农业大学学报(社会科学版), 2016, 34(1)
作者姓名:徐洋  茅健
作者单位:上海工程技术大学机械工程学院,上海201620
基金项目:国家自然科学基金项目( 51175322)
摘    要:为减少热误差对数控机床加工精度的影响,文章利用灰色系统研究热误差建模。初步分析机床热源后,应用灰 色关联度分析结合模糊分类方法优化得到13组关键温度测点,结合小型精密五轴机床处于实际加工状态时的实验数 据,应用GM(I,N)灰色结构进行建模。将实际数据与拟合数据进行对比分析,结果表明此灰色系统模型具有计算方法 成熟、鲁棒性强的特点,适用于机床热误差研究。

关 键 词:数控机床;灰色系统;测点优化;热误差建模

Small Precision Machine Tool Thermal Error Model Research Based on Grey System
XU Yang,MAO Jian. Small Precision Machine Tool Thermal Error Model Research Based on Grey System[J]. Journal of South China Agricultural University:Social Science Edition, 2016, 34(1)
Authors:XU Yang  MAO Jian
Affiliation:School of Mechanical Engineering, Shanghai University of Engineering Science , Shanghai,201620 . China
Abstract:In order to reduce the impact of thermal error of CNC machine tools machining precision, the grey system wasadopted to study the thermal error modeling. After the preliminary analysis of the heat source to machine tools, graycorrelation analysis and fuzzy classification method were applied to obtain the 13 groups critical temperature measuringpoints, the experimental data was combined with small precision five-axis machines in the actual processing status, GM(l, N) gray structure was used to model. Comparative analysis of actual data and fitting data, it is concluded that thegrey system model has the characteristics of mature calculation. robust. suitable for machine tool thermal error. etc.
Keywords:CNC machine tools   grey system   optimization of measuring points    thermal error model
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