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提出了一种基于实时控制的电化学齿轮修形的新方法 ,设计并制作了电化学齿轮修形的加工装置 ,建立了修形齿面去除规律的数学模型。利用人工神经网络的方法在已知修形量及修形区域的情况下求取了加工施电规律 ,应用满足加工条件的试验数据对网络进行了学习训练 ,使网络映射成功 ,以此为基础 ,根据要求修形量及修形特点 ,反求取实时控制的电化学修形的施电规律。通过着色试验和所测得的齿形齿向曲线 ,证明了该修形工艺方法的可行性 ,在实际生产中有较大的应用与推广价值。
A new method of electrochemical gear modification based on real-time control is proposed. A machining device for electrochemical gear modification is designed and fabricated. A mathematical model of tooth profile modification is established. Using the method of artificial neural network, the law of processing and power supply was obtained under the condition of the known amount of modification and the shape of the modified area. Based on the experimental data of the processing conditions, the network was trained to make the network mapping successful , According to the requirements of the amount of shape modification and repair features, reverse real-time control of the electrochemical modification of the law of electricity. Through the coloring test and the measured tooth profile curve, the feasibility of the modified process method is proved, which has great application and popularization value in actual production.