Hongqiang Ma

Shandong University of Science and Technology

Papers

1

Total Citations

1

H-Index

1

About

Hongqiang Ma is a researcher specializing in orthopedic robotics and biomechanical machining, with a particular focus on the precise modeling of bone cutting forces in robotic surgical systems. His most notable work centers on the development of mathematical models for cortical bone milling forces using ball-end milling cutters — a critical challenge in modern orthopedic surgery where robotic precision can mean the difference between successful outcomes and harmful thermal or mechanical damage to surrounding tissue. Ma's research addresses one of the most technically demanding problems in surgical robotics: accurately predicting and controlling the forces generated when cutting through dense cortical bone. By developing coefficient identification methods for milling force models, his work directly contributes to suppressing cutting chatter and reducing thermal damage during robotic orthopedic procedures — complications that can compromise patient safety and surgical accuracy. This research sits at a compelling intersection of mechanical engineering, biomechanics, and medical robotics, fields that are rapidly converging as robotic-assisted surgery becomes increasingly prevalent. Though early in its citation trajectory with 1 citation recorded in 2023, Ma's work addresses fundamental technical barriers in orthopedic robotics, positioning him as an emerging contributor to a field with profound clinical implications for patients undergoing bone surgeries worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Coefficient Identification of Cortical Bone Milling Forces of Ball-End Milling Cutter for Orthopaedic Robot
1 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Shandong University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago