Title page for etd-0811115-141749


URN etd-0811115-141749 Statistics This thesis had been viewed 392 times. Download 3 times.
Author Wen-Hsiang Liu
Author's Email Address No Public.
Department Institute Of Mechanical Engineering
Year 2014 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 109
Title Extraction and Experiments of Effective Properties for the Joints of Machine Tools
Keyword
  • Linear guide
  • Finite element analysis
  • Modal testing
  • Effective stiffness.
  • Effective spring
  • Effective spring
  • Effective stiffness.
  • Modal testing
  • Finite element analysis
  • Linear guide
  • Abstract Equipped with rolling elements to achieve the purpose of motion, the linear guides used in machine tools are ones of the most important drive-elements in industry. The steel balls are small, relative to the machine tool structure. However, if all the steel balls in the linear guides are to be modeled and meshed in a finite element analysis, the number of the elements and nodes will be too large, causing heavy calculation burden and even computational difficulties. Effective springs may be used to replace the steel balls and simplify the finite element model, reducing the analysis time for the model.
      This research built a U-shaped platform, which contains two sets of linear guides with two sliding rails and four sliding blocks, to simulate a portion of a machine tool. On one hand, multiple modal testing experiments were performed to extract the natural frequencies and mode shapes of the parts and assembly of the platform; on the other hand, finite element models of the parts and assembly were created and analyzed with effective springs substituting the steel balls in the sliding rails and blocks. Then the results from both methods were correlated. If the frequency differences are too great, the stiffness coefficients of the effective springs are tuned to amend the errors. The final outcome is a finite element model with effective springs of optimized spring coefficients, which is capable of predicting the responses of design modification.
    Advisor Committee
  • Kun-nan Chen - advisor
  • Pi-Wen Wang - co-chair
  • Wei-Shin Gau - co-chair
  • Files indicate in-campus access at 1 years and off-campus access at 5 years
    Date of Defense 2015-07-24 Date of Submission 2015-08-12

    Browse | All Available ETDs | Chinese Search Version | Home

    If you have more questions or technical problems, please contact Tungnan University