REVIEW ARTICLE
Load Calculation and Design of Roller Crowning of Truck Hub Bearing
Xintao Xia*, 1, Shujing Dong1, Liming Sun2, Tianju Chen3
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 106
Last Page: 110
Publisher Id: TOMEJ-9-106
DOI: 10.2174/1874155X01509010106
Article History:
Received Date: 8/1/2015Revision Received Date: 15/1/2015
Acceptance Date: 16/1/2015
Electronic publication date: 26/2/2015
Collection year: 2015
© 2015 Xia et al
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Double-row tapered roller bearing 353112 is used in trucks, and the external load and pressure distribution of the bearing are calculated combining with the specific operating conditions. Tapered roller bearings typically employ roller profile modification to equalize the load distribution, minimizing the stress concentration at the roller ends. Doing FEA (finite element analysis) on the contact stress with the changing roller crowning between roller and races, the appropriate roller profile and the crown drop of roller can be achieved. Finally the best control equation of roller crowning is obtained. It has important guiding significance for the improvement of roller crowning design of truck hub bearings.
Keywords: Hub bearings, load distribution, roller crowning, stress analysis.