Investigation of dynamic similarity of gear transmission system considering machining error distortion: Theoretical analysis and experiments

Chunpeng Zhang, Jing Wei, Bin Peng, Miaofei Cao, Shaoshuai Hou, Teik C. Lim

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Accurate setting of the gear machining error to a certain expected value is a difficult task. A non-ideal value may cause the system to not meet the complete similarity condition and reduce the prediction accuracy of the scale model (SM). In this study, the similarity relationship of a gear transmission system, considering the machining error, was derived using the equation analysis method. To address the problem of machining error distortion, a similarity ratio of the peak-to-peak value of the vibration response, and two modification methods for SM prediction are proposed herein. In the first method, the load is modified, whereas in the second method, the similarity ratio is modified. A node finite-element model and transmission error experiment were used to verify the accuracy of the two methods. The results indicate that the prediction of the changing trend and amplitude of the vibration response was accurate. The modified load method should be used in the design stage for the working conditions, and the modified similarity ratio method should be used in the experimental data processing stage.

Original languageEnglish (US)
Article number104803
JournalMechanism and Machine Theory
Volume172
DOIs
StatePublished - Jun 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications

Keywords

  • Dynamic response
  • Gear transmission system
  • Machining error distortion
  • Scale model
  • Similarity theory

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