PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 22, 2026Metals0 citationsOpen Access

Mechanical Wear and Friction Behavior of 30CrMnSiNi2A Steel Rocket Sled Sliders Under High-Speed and Heavy-Load Conditions: A Finite Element Analysis

View Full Paper
YHYE HAONLN. M. LINLWLin Wu

Key Points

  • This research aims to establish a model predicting wear behavior of rocket sled sliders under high-speed and heavy-load conditions.
  • Developed a wear prediction model using ANSYS
  • Incorporated dimensionless acceleration factor in simulations
  • Analyzed dynamic characteristics of contact stress and wear over time
  • Slider wear significantly increases with speed and load
  • Friction stress has a positive correlation with load
  • Sensitivity of friction stress to speed changes is high at low speeds and low at high speeds

Abstract

The rocket sled slider is a key connection component between the rocket sled and the track for support, guidance and load-bearing, ensuring the system’s safe and reliable operation. Wear of sliders under high—velocity and heavy—load conditions is crucial for equipment reliability. This study establishes a wear prediction model for sled rails using ANSYS, incorporating a dimensionless acceleration factor into the simulation. By analyzing dynamic characteristics of contact friction stress, wear volume, depth, and stress over time, the tribological characteristics of 30CrMnSiNi2A steel sliders were studied. The simulation results showed that during dry—friction sliding, slider wear is highly related to speed and load, increasing significantly as they increase. The slider’s contact surface has non-uniform stress distribution with stress concentration and gradient changes. Quantitative analysis has revealed that friction stress is positively correlated with load, and its sensitivity to speed changes is high at low speeds and relatively low at high speeds.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

HAO et al. (2026) studied this question.

synapsesocial.com/papers/6971bdcf642b1836717e2723https://doi.org/10.3390/met16010122
Ask AI
Helpful
Bookmark
Share
View Full Paper