Efficiency Prediction Model for Planetary Roller Screw Mechanism Considering Machining ErrorsSource: Journal of Tribology:;2026:;volume( 148 ):;issue:007::page 1887DOI: 10.1115/1.4071320Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Transmission efficiency serves as a critical indicator for evaluating the performance of the planetary roller screw mechanism (PRSM). Existing prediction models, however, often exhibit significant deviations, primarily due to the inadequate consideration of machining errors. This study systematically analyzes key influencing factors arising from the manufacturing process and develops individual error models for both thread and gear components. These error models are incorporated into the friction torque calculation, resulting in a comprehensive efficiency prediction model that accounts for machining errors. Experimental results validate the proposed model. Further investigation into the influence patterns of various error factors reveals that efficiency increases with applied load, whereas it initially rises and then declines as rotational speed increases. Machining errors on the thread surface affect efficiency by approximately 3%, while those on the gear surface have a negligible impact of about 0.03%. Furthermore, based on a weight analysis of thread and gear machining parameters, the thread friction coefficient, gear reference diameter, and gear addendum height are identified as having significant influences on efficiency. This research provides a theoretical foundation for the optimal design and precision manufacturing of PRSM, contributing to enhanced comprehensive performance and facilitating broader industrial adoption.
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| contributor author | Liu, Kan | |
| contributor author | Xu, Qianjin | |
| contributor author | Zhao, Zifei | |
| contributor author | Fu, Xiaojun | |
| contributor author | Wu, Linping | |
| contributor author | Ma, Shangjun | |
| date accessioned | 2026-08-23T07:19:49Z | |
| date available | 2026-08-23T07:19:49Z | |
| date copyright | 2026/07/01 | |
| date issued | 2026 | |
| identifier issn | 0742-4787 | |
| identifier other | trib-25-1687.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314950 | |
| description abstract | Abstract. Transmission efficiency serves as a critical indicator for evaluating the performance of the planetary roller screw mechanism (PRSM). Existing prediction models, however, often exhibit significant deviations, primarily due to the inadequate consideration of machining errors. This study systematically analyzes key influencing factors arising from the manufacturing process and develops individual error models for both thread and gear components. These error models are incorporated into the friction torque calculation, resulting in a comprehensive efficiency prediction model that accounts for machining errors. Experimental results validate the proposed model. Further investigation into the influence patterns of various error factors reveals that efficiency increases with applied load, whereas it initially rises and then declines as rotational speed increases. Machining errors on the thread surface affect efficiency by approximately 3%, while those on the gear surface have a negligible impact of about 0.03%. Furthermore, based on a weight analysis of thread and gear machining parameters, the thread friction coefficient, gear reference diameter, and gear addendum height are identified as having significant influences on efficiency. This research provides a theoretical foundation for the optimal design and precision manufacturing of PRSM, contributing to enhanced comprehensive performance and facilitating broader industrial adoption. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Efficiency Prediction Model for Planetary Roller Screw Mechanism Considering Machining Errors | |
| type | Journal Paper | |
| journal volume | 148 | |
| journal issue | 7 | |
| journal title | Journal of Tribology | |
| identifier doi | 10.1115/1.4071320 | |
| journal fristpage | 1887 | |
| journal lastpage | 1899 | |
| page | 13 | |
| tree | Journal of Tribology:;2026:;volume( 148 ):;issue:007 | |
| contenttype | Fulltext |