Optimization of hypoid gear design and tooth contact analysis

Shouli Sun, Shilong Wang, Yawen Wang, Teik C. Lim, Baocang Zhou, Zongyan Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Hypoid gears are effectively used in cross axis power transmission systems. Design of hypoid gear parameters is complex and dependent on designers' experiences. In this paper, an easy approach to design the parameters of hypoid gear to obtain the minimum of maximum principle normal contact stress and peak to peak transmission error is presented. An improved Particle Swarm Optimization (PSO) and Back Propagation (BP) algorithm is proposed to predict the stress and the transmission error if certain design parameters are given. The predictive accuracy is evaluated by Root Mean Square Error (RMSE) equation. The results show that the predictive accuracy is in reasonable agreement with the values calculated by the software [1]. Based on the prediction model, the optimization model for the design parameters of hypoid gear is established. This paper proposes a method to design a set of hypoid gears with minimum of maximum principle normal stress and peak to peak transmission error.

Original languageEnglish (US)
Title of host publication2017 ASME International Power Transmission and Gearing Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791858240
DOIs
StatePublished - 2017
Externally publishedYes
EventASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 - Cleveland, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume10

Conference

ConferenceASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Country/TerritoryUnited States
CityCleveland
Period8/6/178/9/17

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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