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机构地区:[1]攀枝花学院,攀枝花617000 [2]西安理工大学机械与精密仪器工程学院,西安710048
出 处:《现代制造工程》2016年第10期1-5,共5页Modern Manufacturing Engineering
基 金:国家自然科学基金项目(51375382);四川省科技厅科技支撑项目(2016GZ0205);四川省教育厅重点项目(16ZA0415)
摘 要:数控机床进给系统的几何误差和热误差是影响零件加工精度的主要因素,为了有效地改善加工精度,提出了一种几何误差和热误差综合预测模型。通过分析进给系统的热误差曲线特征,对机床的几何误差及热误差进行分离。采用最小二乘法对几何误差进行一元四次拟合得到几何误差模型;利用模糊聚类和相关分析对温度测点进行优化,建立热误差模型;将上述几何及热误差模型线性叠加形成综合模型。在一台数控车床上,对机床初始运行、升温及热平衡三个典型阶段进行实验验证,结果表明:进给系统误差综合补偿模型具有良好的鲁棒性,能较大幅度地改善机床的加工精度。The geometric and thermal errors of CNC feed system is a mainly influencing factor to the accuracy of machined parts. In order to improve the accuracy, a comprehensive error model was proposed. The geometric and thermal errors were distinguished through the analysis of the character of error curves. The geometric model were fitted by means of Least Squares(LS) ;thermal error were modeled through temperature measuring points that were optimized by using fuzzy clustering and correlation analysis. The linear superposition of geometric and thermal model established the comprehensive model. An experiment was tested on CNC lathe, and its result indicates the method proposed increases the robustness and accuracy of the model.
分 类 号:TP27[自动化与计算机技术—检测技术与自动化装置]
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