Prediction of Gear Performance based on Recognition of Tooth Contact Pattern

Research Project

Project/Area Number	05650144
Research Category	Grant-in-Aid for General Scientific Research (C)
Allocation Type	Single-year Grants
Research Field	設計工学・機械要素・トライボロジー
Research Institution	KYOTO UNIVERSITY
Principal Investigator	KUBO Aizoh Kyoto Univ., Dept.Precision Engnrg, Professor, 工学部, 教授 (10027899)
Co-Investigator(Kenkyū-buntansha)	NONAKA Tetsuya Kyoto Univ., Dept Prec.Engrng, Assistant, 工学部, 助手 (00180761) FUJIO Hiroshige Kyoto Univ., Dept Prec.Engrng, Ass.Prof., 工学部, 助教授 (90026097)
Project Period (FY)	1993 – 1994
Project Status	Completed (Fiscal Year 1994)
Budget Amount *help	¥2,500,000 (Direct Cost: ¥2,500,000) Fiscal Year 1994: ¥500,000 (Direct Cost: ¥500,000) Fiscal Year 1993: ¥2,000,000 (Direct Cost: ¥2,000,000)
Keywords	Gears / Tooth contact pattern / Pattern recognition / Designing method / Failure prediction
Research Abstract	The "Observation of Tooth Contact Pattern" of gear pair is practically only one method incorporated widely in gearshop and by users of gear units to know, wether the gears in the unit are produced properly, or wether they are assembled properly, or wether the unit is in the state predicted at its design stage. The experienced gear engineer can decide these situation by the "Observation of Tooth Contact Pattern", but all the bases for such decision comes from his experience that cannot be expressed as the engineering information to be understood by other engineers. Even the experienced gear engineer can although not be able to predict the extent of the decrease of reliability or the state of noise and vibration of this gearing quantitatively by such observation. This research developed the computer program to predict the gear performance quantitatively as function to tooth contact pattern of involute helical gears and of hypoid and bevel gears. This research has generalized an empirical "Know How" technique of such "Observation of Tooth Contact Pattern" into the engineering method that is guaranteed by a theoretical back ground. This can realize the quantitative prediction of stress state and vibrational state by the observation of tooth contact pattern recognition. The results of this research contribute therefore to raise the reliability of gear units, to produce light weight gear unit and to