Song-Liang Nie

Shanghai University

Papers

2

Total Citations

27

H-Index

2

About

Song-Liang Nie is a researcher specializing in the mechanics of robotic systems, with a particular focus on the dynamic behavior of flexible-joint robots under percussive impact forces. His work addresses critical challenges in industrial automation, especially in high-precision tasks like robotic riveting, where impact forces can significantly affect fatigue life and system reliability. Nie’s most cited paper, “Modeling and simulation for fatigue life analysis of robots with flexible joints under percussive impact forces” (2015, 21 citations), provides a foundational framework for predicting and extending the operational lifespan of such robots. His earlier study, “Modeling and simulation of percussive impact for robotic riveting system” (2014, 6 citations), further explores the simulation of impact dynamics, offering practical insights for improving the design and control of robotic assembly systems. Though his citation counts are modest, Nie’s contributions are notable for their direct applicability to manufacturing processes, bridging the gap between theoretical mechanics and real-world engineering. His research is particularly valuable for students and engineers working on robot durability, impact analysis, and automation in heavy industries.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and simulation for fatigue life analysis of robots with flexible joints under percussive impact forces
21 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shanghai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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