Degradation reliability modeling for ball screws subject to fatigue elastic failure mode

Ball screws have been receiving increasing attention in the aerospace and military industry for their high reliability and high positioning accuracy. Under such extreme working conditions, ball screws are required to bear heavy loads in a short time, where they are mainly subject to fatigue elastic failure mode. Traditional reliability modeling methods based on the fatigue pitting failure mode are not suitable any more. However, reliability based on fatigue elastic failure in ball screws has not been investigated yet. To this end, we first established a degradation mechanism model for the fatigue elastic of ball screws. Subsequently, we proposed the degradation reliability model for ball screws, along with a novel Expectation Maximization method for parameter estimation. Additionally, we proposed a novel test method for the fatigue elastic life for ball screws utilizing a designed test bench. The mean curve for the degradation model almost exhibited a relative error less than 5%, confirming the validity of the proposed model. Lastly, we conducted a sensitivity analysis of structural parameters on fatigue elasticity, finding that the helix angle significantly influences the rated elastic life, while the ball diameter has a minimal effect. These findings contribute valuable insights for reliability evaluation and reliability design for ball screws under extreme working conditions.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2024-11-06
DOI
https://doi.org/10.1177/09544062241291793
Citations
1
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Degradation reliability modeling for ball screws subject to fatigue elastic failure mode

Hua-Xi Zhou, Chang-Guang Zhou, Liangbo Sun, Xiaoyi Wang et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Fatigue and fracture mechanics
0.27
article

Degradation reliability modeling for ball screws subject to fatigue elastic failure mode

Hua-Xi Zhou, Chang-Guang Zhou, Liangbo Sun, Xiaoyi Wang, Xinyu Zhu
article en
1 citations

Abstract

Ball screws have been receiving increasing attention in the aerospace and military industry for their high reliability and high positioning accuracy. Under such extreme working conditions, ball screws are required to bear heavy loads in a short time, where they are mainly subject to fatigue elastic failure mode. Traditional reliability modeling methods based on the fatigue pitting failure mode are not suitable any more. However, reliability based on fatigue elastic failure in ball screws has not been investigated yet. To this end, we first established a degradation mechanism model for the fatigue elastic of ball screws. Subsequently, we proposed the degradation reliability model for ball screws, along with a novel Expectation Maximization method for parameter estimation. Additionally, we proposed a novel test method for the fatigue elastic life for ball screws utilizing a designed test bench. The mean curve for the degradation model almost exhibited a relative error less than 5%, confirming the validity of the proposed model. Lastly, we conducted a sensitivity analysis of structural parameters on fatigue elasticity, finding that the helix angle significantly influences the rated elastic life, while the ball diameter has a minimal effect. These findings contribute valuable insights for reliability evaluation and reliability design for ball screws under extreme working conditions.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(4)
Wuhan Polytechnic University (CN), Nanjing University of Science and Technology (CN), Civil Aviation Flight University of China (CN)
Data Center of Management Science, National Natural Science Foundation of China - Peking University
Openalex Percentile: Top 48%
Fatigue and fracture mechanics
0.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.