Multi-station wheel burr removing device

    公开(公告)号:US10265823B2

    公开(公告)日:2019-04-23

    申请号:US15694043

    申请日:2017-09-01

    Abstract: The application discloses a multi-station wheel burr removing device, includes lifting translation systems, a clamping drive system and grinding systems. In practical use, the four V-shaped rollers clamp a wheel, a sixth servo motor and the first electric servo cylinder respectively adjusts the angle and the position of the rolling brush, and when the rolling brush contacts the edge of a wheel flange, burrs can be removed; the fifth servo motor and the sixth servo motor respectively adjusts the position and the angle of the lower grinding head, and when the lower grinding head contacts a wheel valve hole, burrs below can be removed; the third servo motor and the second electric servo cylinder respectively adjusts the angle and the position of the upper grinding head, when the upper grinding head contacts the wheel valve hole, burrs can be removed.

    Coaxiality detecting tool
    2.
    发明授权

    公开(公告)号:US10823545B2

    公开(公告)日:2020-11-03

    申请号:US15688900

    申请日:2017-08-29

    Abstract: Disclosed is a coaxiality detecting tool composed of a hexagon flange nut, a measuring column and a detection sleeve. When the coaxiality detecting tool is used, a cone of the measuring column is matched with a cone hole of a detected workpiece, the hexagon flange nut is matched with a threaded column of the measuring column, and the measuring column is fixed on the workpiece; an inner hole of the detection sleeve is matched with a detection column, the conical surface of the detection sleeve is in contact with the orifice of a ΦE hole in the workpiece, whether the whole conical surface is in uniform contact with the orifice of the ΦE hole is observed, and if in uniform contact, the detected coaxiality is qualified, otherwise, the detected coaxiality is unqualified.

    COAXIALITY DETECTING TOOL
    3.
    发明申请

    公开(公告)号:US20180335292A1

    公开(公告)日:2018-11-22

    申请号:US15688900

    申请日:2017-08-29

    CPC classification number: G01B5/252 B23Q17/22 G01B5/0025 G01B5/28

    Abstract: Disclosed is a coaxiality detecting tool composed of a hexagon flange nut, a measuring column and a detection sleeve. When the coaxiality detecting tool is used, a cone of the measuring column is matched with a cone hole of a detected workpiece, the hexagon flange nut is matched with a threaded column of the measuring column, and the measuring column is fixed on the workpiece; an inner hole of the detection sleeve is matched with a detection column, the conical surface of the detection sleeve is in contact with the orifice of a ΦE hole in the workpiece, whether the whole conical surface is in uniform contact with the orifice of the ΦE hole is observed, and if in uniform contact, the detected coaxiality is qualified, otherwise, the detected coaxiality is unqualified.

    Method for measuring slant wall thickness dimension of hub

    公开(公告)号:US10132623B2

    公开(公告)日:2018-11-20

    申请号:US15336219

    申请日:2016-10-27

    Inventor: Haiyi Wang

    Abstract: The invention provides a method for measuring a slant wall thickness of a hub. Specifically, the hub is laid flatwise on a detection platform of a three-coordinate measuring machine; afterwards, a first inner wall point 1 and a second inner wall point 2 are sampled from an inner rim slant of the hub along a YZ axial section of the three-coordinate measuring machine, and X-axis coordinate values of the two points are set to zero to establish a first Cartesian coordinate system; the two points defined in step 101 are connected and configured into an axial line of a rim wall thickness; a second Cartesian coordinate system is established with a direction of the axial line of the rim wall thickness as a Y′ axis; an inner rim wall thickness point 3 from an inner rim wall, and an outer rim wall thickness point 4, both having X′ values of zero, are sampled; a two-dimensional distance between the inner rim wall thickness point 3 and the outer rim wall thickness point 4 in a Z′ axis is calculated under the second coordinate system and recorded as a measured slant wall thickness value of the hub. The method provided by the present invention has the advantages of avoiding the situation that the three-coordinate measuring machine has a large error in measuring a rim wall thickness due to the use of the detection platform as a benchmark, improving the accuracy of detection, and providing the basis of automated rim thickness detection.

    METHOD FOR MEASURING SLANT WALL THICKNESS DIMENSION OF HUB

    公开(公告)号:US20170122718A1

    公开(公告)日:2017-05-04

    申请号:US15336219

    申请日:2016-10-27

    Inventor: Haiyi Wang

    CPC classification number: G01B21/04 G01B5/0025 G01B21/08

    Abstract: The invention provides a method for measuring a slant wall thickness of a hub. Specifically, the hub is laid flatwise on a detection platform of a three-coordinate measuring machine; afterwards, a first inner wall point 1 and a second inner wall point 2 are sampled from an inner rim slant of the hub along a YZ axial section of the three-coordinate measuring machine, and X-axis coordinate values of the two points are set to zero to establish a first Cartesian coordinate system; the two points defined in step 101 are connected and configured into an axial line of a rim wall thickness; a second Cartesian coordinate system is established with a direction of the axial line of the rim wall thickness as a Y′ axis; an inner rim wall thickness point 3 from an inner rim wall, and an outer rim wall thickness point 4, both having X′ values of zero, are sampled; a two-dimensional distance between the inner rim wall thickness point 3 and the outer rim wall thickness point 4 in a Z′ axis is calculated under the second coordinate system and recorded as a measured slant wall thickness value of the hub. The method provided by the present invention has the advantages of avoiding the situation that the three-coordinate measuring machine has a large error in measuring a rim wall thickness due to the use of the detection platform as a benchmark, improving the accuracy of detection, and providing the basis of automated rim thickness detection.

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