TY - GEN
T1 - Modelling and Analysis of Slewing Bearings with Quenched Soft Zone
AU - Gui, Jianxin
AU - Wang, Guangbin
AU - Tang, Xiaoli
AU - Zhou, Zhou
AU - Jiang, Yongzheng
N1 - Funding: Financial support from National Natural Science Foundation of China (51575178), financial support from Hunan Natural Science Foundation of China (2018JJ2120).
PY - 2020/8/28
Y1 - 2020/8/28
N2 - The slewing bearing has an unquenched area, which is called the bearing soft zone. In this paper, through the three-dimensional modelling software, considering the factors such as the depth of the quenching layer, a slewing bearing model with bearing soft zone is established. The load distribution of the slewing bearing is calculated by finite element simulation, and the outer ring of the slewing bearing and the bearing capacity of the cage are analysed under four extreme wind conditions. The results show that under continuous extreme loads, the load on the soft zone is very large and the most vulnerable parts of the cage appear at their joints.
AB - The slewing bearing has an unquenched area, which is called the bearing soft zone. In this paper, through the three-dimensional modelling software, considering the factors such as the depth of the quenching layer, a slewing bearing model with bearing soft zone is established. The load distribution of the slewing bearing is calculated by finite element simulation, and the outer ring of the slewing bearing and the bearing capacity of the cage are analysed under four extreme wind conditions. The results show that under continuous extreme loads, the load on the soft zone is very large and the most vulnerable parts of the cage appear at their joints.
KW - Carrying capacity analysis
KW - Quenched soft zone
KW - Slewing bearing
KW - Static analysis
UR - http://www.scopus.com/inward/record.url?scp=85091319749&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007%2F978-3-030-57745-2_30
U2 - 10.1007/978-3-030-57745-2_30
DO - 10.1007/978-3-030-57745-2_30
M3 - Conference publication
AN - SCOPUS:85091319749
SN - 9783030577445
VL - 166
T3 - Smart Innovation, Systems and Technologies
SP - 351
EP - 362
BT - Advances in Asset Management and Condition Monitoring, COMADEM 2019
A2 - Ball, Andrew
A2 - Gelman, Len
A2 - Rao, B.K.N.
PB - Springer
T2 - 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2019
Y2 - 3 September 2019 through 5 September 2019
ER -