Tool path forming method in milling processing system
    1.
    发明授权
    Tool path forming method in milling processing system 有权
    铣削加工系统中的刀具路径形成方法

    公开(公告)号:US08942843B2

    公开(公告)日:2015-01-27

    申请号:US13501030

    申请日:2010-10-08

    摘要: The present invention provides a tool path forming method in a milling processing system, the method including: (A) a shape offset step; (B) a virtual wall forming step; (C) an interference region forming and shape revising step; (D) a closed shape forming step; (E) a cutting surface forming step; (F) tool path forming steps; (G) an unprocessed region detecting step; and (H) an uncut region tool path forming step.

    摘要翻译: 本发明提供一种铣削加工系统中的刀具路径形成方法,该方法包括:(A)形状偏移步骤; (B)虚拟壁形成步骤; (C)干涉区域形成和形状修正步骤; (D)封闭形状形成步骤; (E)切割表面形成步骤; (F)工具路径形成步骤; (G)未处理区域检测步骤; 和(H)未切割区域刀具路径形成步骤。

    TOOL PATH FORMING METHOD IN MILLING PROCESSING SYSTEM
    2.
    发明申请
    TOOL PATH FORMING METHOD IN MILLING PROCESSING SYSTEM 有权
    铣削加工系统中的工具路径形成方法

    公开(公告)号:US20120203373A1

    公开(公告)日:2012-08-09

    申请号:US13501030

    申请日:2010-10-08

    IPC分类号: B23Q15/14

    摘要: The present invention provides a tool path forming method in a milling processing system, the method including: (A) a shape offset step; (B) a virtual wall forming step; (C) an interference region forming and shape revising step; (D) a closed shape forming step; (E) a cutting surface forming step; (F) tool path forming steps; (G) an unprocessed region detecting step; and (H) an uncut region tool path forming step.

    摘要翻译: 本发明提供一种铣削加工系统中的刀具路径形成方法,该方法包括:(A)形状偏移步骤; (B)虚拟壁形成步骤; (C)干涉区域形成和形状修正步骤; (D)封闭形状形成步骤; (E)切割表面形成步骤; (F)工具路径形成步骤; (G)未处理区域检测步骤; 和(H)未切割区域刀具路径形成步骤。

    MACHINE LEARNING DEVICE, CLEANING PREDICTION DEVICE, AND CLEANING SYSTEM

    公开(公告)号:US20230376002A1

    公开(公告)日:2023-11-23

    申请号:US18031293

    申请日:2021-11-02

    申请人: FANUC CORPORATION

    IPC分类号: G05B19/4065

    摘要: A machine learning device has an input data acquisition unit that acquires input data including an arbitrary machining condition for an arbitrary workpiece to be machined by an arbitrary machine tool, a cleaning condition for cleaning, by an arbitrary cleaning device, the inside of a machine by which the workpiece was machined under the machining condition and state information indicating a degree of dirtiness of the inside of the machine before the machining under the machining condition. The device also has a label acquisition unit that acquires, as label data, state information about the inside of the machine after machining under the machining condition and cleaning under the cleaning condition included in the input data, and a learning unit that executes supervised learning using the input data and the label data, so as to generate a learned model.