Boqiang Shi

University of Science and Technology Beijing

Papers

3

Total Citations

8

H-Index

2

About

Boqiang Shi is a pioneering researcher in the field of intelligent mineral processing and robotic crushing technology, with a focused expertise in the mechanics and optimization of 6-DOF (degree of freedom) robotic crushers. His major contributions lie in establishing foundational models for single-particle compression ratios and predicting wear on mantle liners, directly addressing the dual challenges of efficiency and durability in crushing operations. Shi’s work on multi-objective optimization functions, integrating transmission indices and condition numbers, has advanced the mechanical performance of these complex systems. Notably, he developed an energy consumption model coupled with a real-time multi-objective control method, optimizing total energy use and product mass fraction—a critical step toward sustainable industrial automation. While his citation counts (2–4 per paper) reflect a niche but highly specialized audience, his research is instrumental for engineers and academics seeking to enhance robotic crusher longevity and throughput. Shi’s achievements underscore a commitment to bridging theoretical mechanics with practical, energy-efficient solutions in heavy machinery.

Research Focus

Key Achievements

2
H-Index
3
Papers
8
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research of Single-Particle Compression Ratio and Prediction of Crushed Products and Wear on the 6-DOF Robotic Crusher
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Science and Technology Beijing

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago