基于神经网络的机床-工件系统热误差补偿技术研究

Study of thermal error compensation on the system of machine tool and work-piece based on neural network

以机床-工件系统的热变形为研究对象,应用神经网络理论建立机床-工件系统的热误差模型,对热误差神经网络模型的关键输入参数进行了分析讨论,提出了该模型的误差补偿策略。以某型号大尺寸回转支承滚道数控车削加工为例,建立了热误差模型,对回转支承滚道加工实施热误差补偿,结果表明,机床-工件系统的热误差模型有较强的预测能力,提出的补偿方法有较好的补偿效果。

Taking the system of machine and work-piece as the research object in the paper,applying theory of neural network to build thermal error model of the system of machine and work-piece,discusses key input parameters of thermal error model of neural network,and proposes the strategy of thermal error compensation.Taking the machining on raceway of slewing ring as an example,builds thermal error model,and implements the compensation to the machining on raceway of slewing ring.The result shows the model has better ability of prediction for thermal error of the system of machine and work-piece,compensation method which the paper proposes on the system of machine and work-piece has better compensation effect.