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通过控制水射流加工的进给速度来间接控制切割表面质量,同时获得加工轨迹的圆滑过渡,从而实现磨料水射流的微加工工艺。本文根据磨料水射流加工的特点,建立磨料水射流加工的神经网络模型。以JJ-I数控水射流机床为实验平台,获取样本数据,对所建立神经网络模型进行训练。该模型被用来预测给定加工条件下各程序段的进给速度,然后根据加工路径和机床的特性对进给速度进行修正,并编写数控代码。以不锈钢为基板,加工出微型摩托车图形。
By controlling the feed rate of water jet machining to control the quality of the cutting surface indirectly, the smooth transition of the machining trajectory can be obtained at the same time, so as to realize the microfabrication technology of abrasive water jet. According to the characteristics of abrasive water jet processing, this paper establishes a neural network model of abrasive water jet processing. Taking JJ-I NC water jet machine as the experimental platform, the sample data was obtained and the neural network model was trained. The model is used to predict the feedrate of each block under the given machining conditions. Then, the feedrate is corrected according to the machining path and the characteristics of the machine tool, and the NC code is programmed. Stainless steel substrate, the processing of mini motorcycle graphics.