發明
中華民國
110127392
I 776606
深孔放電加工機之參數優化與貫孔檢測方法
國立交通大學
2022/09/01
本發明係提供一種深孔放電加工機之參數優化與貫孔檢測方法,其步驟包含:令一深孔放電加工裝置對一工件進行貫孔工序;擷取該深孔放電加工裝置於貫孔工序時,對該工件貫穿成孔前後之放電電壓及放電電流;建立一維卷積類神經網路之檢測模型,並將所述放電電壓及所述放電電流為該一維卷積類神經網路之輸入層,而界定該一維卷積類神經網路之輸出層為該深孔放電加工裝置是否已對該工件產生貫孔,藉以對該檢測模型進行訓練;藉此,本發明係可對深孔放電加工裝置之貫孔與否進行自動化檢測及控制,使防止電極下降不足而致未成功貫孔,或因過度下降而致影響下方之物件,進而可增進深孔放電加工之精度及效率者。 The present invention provides a method for parameter optimization and through-hole detection of an EDM Hole Drilling. The steps include: making the EDM Hole Drilling carry out a through-hole process on a workpiece; capturing the discharge voltage and discharge current while processing a through-hole on a workpiece before/after the hole formed by the EDM Hole Drilling; establishing a detection model of a one-dimensional Convolutional Neural Network, making the said discharge voltage and the said discharge current as the input layer of the one-dimensional Convolutional Neural Network; furthermore, defining the output layer of the one-dimensional Convolutional Neural Network whether the EDM Hole Drilling has processed a through hole on the workpiece, so as to train the detection model. By means of it, the present invention can automatically detect and control whether the EDM Hole Drilling carry out a through-hole process or not, preventing the insufficient electrode decline from unsuccessful through-hole, or effecting the underneath object due to the excessive decline, which can improve the accuracy and efficiency of the EDM Hole Drilling.
智慧財產權中心
03-5738251
版權所有 © 國家科學及技術委員會 National Science and Technology Council All Rights Reserved.
建議使用IE 11或以上版本瀏覽器,最佳瀏覽解析度為1024x768以上|政府網站資料開放宣告
主辦單位:國家科學及技術委員會 執行單位:台灣經濟研究院 網站維護:台灣經濟研究院