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基于RBF神经网络的丝杠热误差模型研究 被引量:5

Research on nonlinear thermal error of ball screw based on RBF neural network
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摘要 数控机床的定位精度是反映机床性能的一项重要指标,由丝杠和螺母相对运动产生的热变形严重影响定位精度。结合丝杠热变形的非线性等特点,采用径向基函数神经网络方法建立丝杠热变形误差模型。同时在XHFA2420大型仿形定梁龙门加工中心,对模型进行了实验验证。 The positioning precision,which is an important index of the numerical machine tools,is severely affected by the thermal deformation caused by relative movements between the ball screw and the nut.Thermally induced error of the ball screw drive system is a time-dependent nonlinear process,so a neural network method is used to model the thermal error in it.Some experimental researches are put forward on XHFA2420 machining center by the double frequency laser interferometer.
出处 《机械设计与制造》 北大核心 2011年第2期128-129,共2页 Machinery Design & Manufacture
关键词 丝杠 热变形 非线性 神经网络 Ball screw Thermal deformation Nonlinear A neural network
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共引文献49

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