Mohammadhossein Ghayour

Concordia University

Papers

1

Total Citations

9

H-Index

1

About

Mohammadhossein Ghayour is a researcher specializing in advanced composite manufacturing, with a particular focus on automated fiber placement (AFP) techniques and defect characterization. His work addresses critical challenges in the production of high-performance composite structures, specifically targeting defects induced during robotic fiber deposition—a key area for aerospace and automotive applications. Ghayour’s major contribution is the development of the "induced defect layer method," a novel approach to characterize the effect of fiber tow gaps, one of the most common and structurally significant defects in AFP-manufactured laminates. This method provides a systematic way to model and predict how these gaps impact structural integrity, offering practical insights for optimizing manufacturing processes. His most cited paper, published in 2021, has garnered 9 citations, reflecting its relevance to both academia and industry. By bridging the gap between manufacturing-induced defects and mechanical performance, Ghayour’s work helps engineers design more reliable composite structures, advancing the adoption of automated manufacturing in high-stakes fields.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Induced defect layer method to characterize the effect of fiber tow gaps for the laminates manufactured by automated fiber placement technique
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Concordia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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