VIBRATION NOISE REDUCTION ANALYSIS METHOD AND ANALYZER FOR AUTOMOTIVE PANEL PARTS

    公开(公告)号:US20220245303A1

    公开(公告)日:2022-08-04

    申请号:US17764464

    申请日:2020-05-07

    Abstract: A vibration noise reduction analysis method for automotive panel parts is executed by a computer and used for reducing vibration noise in a panel part caused by vibrations transmitted from an exciter of an automobile to the panel part through vibration transmission frame parts. The vibration noise reduction analysis method includes: an automotive body mesh model acquisition process; a specific frequency band selection process for a vibration noise reduction target panel part model; a vibration transmission frame part model specification process; an individual mesh sheet thickness optimization process; a divided area setting process for a vibration transmission frame part model; an individual divided-area sheet thickness optimization process; and a divided area/optimal sheet thickness determination process for a vibration transmission frame part.

    STIFFENING STRUCTURE AND STIFFENING METHOD FOR AUTOMOTIVE DOOR PANEL PART

    公开(公告)号:US20210206244A1

    公开(公告)日:2021-07-08

    申请号:US16754660

    申请日:2018-09-13

    Abstract: A stiffening structure for an automotive door panel part according to the present invention includes a door outer panel 3 made of a metal sheet curved along a height direction, and in which a character line 3a is formed; and an impact beam 5 disposed at an inner surface side of the door outer panel 3. The stiffening structure improves tensile rigidity of the door outer panel 3 by attaching a stiffening member 7 made of resin to the inner surface of the door outer panel 3. The stiffening member 7 includes vertical bone portions 9 extending in a streak shape from the impact beam 5 to the character line 3a along a curve of the door outer panel 3. The vertical bone portions 9 are arranged at a predetermined interval in a front-rear direction of the door outer panel 3, and outer surface of the vertical bone portions 9 is bonded to the inner surface of the door outer panel 3.

    VIBRATION AND NOISE REDUCTION ANALYSIS DEVICE AND ANALYSIS METHOD FOR PANEL PART OF AUTOMOBILE

    公开(公告)号:US20230237216A1

    公开(公告)日:2023-07-27

    申请号:US18008936

    申请日:2021-04-06

    CPC classification number: G06F30/20 G06F30/15 G06F2119/10

    Abstract: A vibration and noise reduction analysis device for a panel part of an automobile is configured to reduce vibration and noise of the panel part caused by vibration from a vibration source and a noise source in the automobile and identify a portion at which a weight of an automotive body of the automobile can be reduced. The vibration and noise reduction analysis device includes: an automotive body model acquisition unit; a sectioned region setting unit; a vibration and noise reduction target panel part model setting unit; a vibration mode/equivalent radiation power peak frequency selection unit; a sectioned region weight change peak frequency acquisition unit; a sectioned region weight contribution degree calculation unit; and a vibration and noise reduction and weight reduction portion identification unit.

    VIBRATION NOISE REDUCTION ANALYSIS METHOD AND ANALYZER FOR AUTOMOTIVE PANEL PARTS

    公开(公告)号:US20220350940A1

    公开(公告)日:2022-11-03

    申请号:US17761025

    申请日:2020-05-07

    Abstract: A vibration noise reduction analysis method for automotive panel parts acquires optimal distribution of beads to be provided in an automotive panel part to reduce noise caused by vibration of the panel part. The vibration noise reduction analysis method is executed by a computer, and includes: an automotive body analysis model acquiring step; an analysis condition setting step; a single-bead arranged area setting step; a bead parameter distribution acquiring step; an equivalent radiated power (ERP) reacquisition step; a bead parameter distribution acquisition step on a minimum ERP in bead-arranged area; and an optimal bead distribution determination step. The bead parameter distribution acquiring step includes: a bead parameter selection step; a bead parameter distribution analysis model generation step; and a bead parameter design variable distribution analysis step.

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