PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 27, 20260 citations

Fatigue lifespan of compliant planetary roller screws: multiscale modelling and stiffness measurements

View Full Paper
JLJuliette LepagneulLTLoic TadristEMEmmanuel Mermoz

Key Points

  • This research aims to explore the fatigue lifespan of compliant planetary roller screws and propose a design strategy for enhanced durability.
  • Analyzed mechanism thread contact geometry
  • Identified non-uniform load distribution along the mechanism axis
  • Determined bulk and surface stress fields
  • Computed Dang-Van's criterion for crack initiation
  • Validated modelling with stiffness experiments on an inverted PRMS
  • Mechanism compliance significantly reduces loading limits for infinite lifespan
  • Proposed design strategy enhances fatigue resistance
  • Fatigue analysis indicates a correlation between compliance and longevity of roller screws

Abstract

Planetary roller screw mechanisms are rotation‐translation converters able to support high axial loads making them appealing for aerospace applications. Alternate loads but also rotation under constant load put a cyclic strain on the mechanism. In this context, fatigue failures may occur. A fatigue design strategy is proposed including mechanism compliance. The fatigue design is a modelling sequence that (i) analyses mechanism thread contact geometry, (ii) finds the non‐uniform load distribution at thread contacts along the mechanism axis, (iii) determines bulk and surface stress fields, (iv) computes the Dang‐Van's criterion for crack initiation. A minimal modelling of mechanism compliance is proposed for fatigue design applications. This modelling is validated with stiffness experiments on an inverted PRMS. Finally, the fatigue analysis of the considered PRSM shows that the mechanism compliance reduces the loading limits for infinite lifespan.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lepagneul et al. (2026) studied this question.

synapsesocial.com/papers/69a1359eed1d949a99abfab5https://doi.org/10.1051/meca/2025030/pdf
Ask AI
Helpful
Bookmark
Share
View Full Paper