Papers

1

Total Citations

4

H-Index

1

About

M. A. El‐Sayed is a leading researcher in advanced manufacturing and computational mechanics, with a primary focus on precision machining of carbon-fibre-reinforced plastics (CFRPs). His work bridges the gap between simulation and industrial application, developing hybrid numerical models that combine finite element methods (FEM) with smoothed particle hydrodynamics (SPH) to accurately predict cutting forces, delamination, and tool wear during CFRP machining. His most cited paper (2023, 4 citations) introduces a novel hybrid FEM–SPH framework for optimizing cutting parameters, directly addressing the growing demand for lightweight, high-strength composites in aerospace, automotive, and robotics. El‐Sayed’s contributions are pivotal for reducing manufacturing defects and improving process efficiency in composite machining. His research is recognized for its practical impact on sustainable production and material integrity. With a growing citation record, he is establishing himself as a key voice in computational manufacturing, offering engineers robust tools to simulate and optimize complex composite cutting operations.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Finite Element–Smoothed Particle Hydrodynamics Modelling for Optimizing Cutting Parameters in CFRP Composites
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Arab Academy for Science, Technology, and Maritime Transport

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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