An analytical method to control and predict grinding textures on modified gear tooth flanks in CNC generating gear grinding

Yun Cheng Yang, Yu Ren Wu, Tsung Ming Tsai

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Natural motion in generating gear grinding often produces regular and mutually-parallel gear grinding texture, which induces higher pure-tone gear meshing noise than that with an irregular texture generated by gear honing. This study presents a generation method of irregular and oblique grinding texture on modified gear tooth flanks considering both dressing and grinding motions in a CNC generating gear grinder. The grinding texture is controllable via an additional installation angle between the grinding wheel and the work gear axes. Meanwhile, the gear tooth flank deviation caused by this variation is corrected by additional motions of machining axes. The sensitivity matrix (SM) combined with the Levenberg-Marquardt (LM) algorithm is employed to determine the additional motion functions. In numerical examples, effects of axial feeding speed, abrasive grain size, and installation angle variation on texture patterns and their mean roughness are investigated, respectively. A crowned tooth flank with irregular and oblique grinding texture is also demonstrated to prove the reasonability and validity of the proposed method.

Original languageEnglish
Article number105023
JournalMechanism and Machine Theory
Volume177
DOIs
StatePublished - Nov 2022

Keywords

  • Gear meshing noise
  • Generating gear grinding
  • Grinding texture
  • Mean roughness
  • Sensitivity matrix

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