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Modal Analysis for Squirrel-cage Cleaning Machine Roller Based on Ansys Workbench

Published: 29 December 2018 Publication History

Abstract

For the vibration problem of the squirrel-cage cleaning machine roller under normal load, modal analysis for roller was carried out to reduce the occurrence of resonance.The paper used 3D design software Solidworks to set up 3D solid model for squirrel-cage cleaning machine roller.The finite element software Ansys workbench was used for modal analysis. The results showed that natural frequency of the first two order was 7.6931Hz and 8.3117Hz.It was greater than the vibration frequency of roller at 0.7766Hz and less than the vibration frequency of motor at 23.33Hz, thus the resonance would not occur.

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  1. Modal Analysis for Squirrel-cage Cleaning Machine Roller Based on Ansys Workbench

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    ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
    December 2018
    365 pages
    ISBN:9781450365703
    DOI:10.1145/3305275
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 December 2018

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    Author Tags

    1. Ansys Workbench
    2. cleaning machine roller
    3. modal analysis

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    ISBDAI '18

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    ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
    Overall Acceptance Rate 70 of 340 submissions, 21%

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