SELF-LEARNING FILTER LIFETIME ESTIMATION METHOD

    公开(公告)号:US20180266935A1

    公开(公告)日:2018-09-20

    申请号:US15920868

    申请日:2018-03-14

    IPC分类号: G01N15/08 B23H7/02 B23H7/36

    摘要: A method for the determination of lifetime of a filter of an electric discharge machine the electrical discharge machine in consideration of a maximum allowable filter pressure, wherein the time measuring unit counts the machining time ts during which an electric discharge machining process is running, a filter pressure sensor measures the filter pressure p(k), preferably with a predetermined sampling interval, the pressure measurement p(k) and the respective sampling time t(k) are stored, and the sampled measurements p(k) and the respective sampling times t(k) are used to determine the parameters of an exponential function which best fits to the plurality of sampled measurements regression analysis. The determined parameters include the filter lifetime tf, which serves to determine the residual time to the filter replacement tr and/or the calendar deadline of filter expiration.

    Wire Electrical Discharge Machining Method
    2.
    发明申请

    公开(公告)号:US20200298328A1

    公开(公告)日:2020-09-24

    申请号:US16809702

    申请日:2020-03-05

    IPC分类号: B23H7/20 B23H7/04 B23H7/06

    摘要: A method for the monitoring of a wire electrical discharge machining (WEDM) process, the method comprising the steps of: setting a unit observation length for the signal acquisition, continuously acquiring at least one process signal which is representative of an amount of material removed by at least one discharge and the position (X;Y) of said at least one discharge, and determining, based on said at least one process signal and one or more properties of a current machining, a cumulated amount of material removed per unit observation length along a machining path, including amounts of material removed by travelling in a forward cutting direction and amounts of material removed by travelling in a reverse cutting direction.