The review integrates mechanical performance, non-destructive damage monitoring and AI prediction for sustainable hybrid polymer composites. Inconsistent datasets and formulation-specific reporting remain major barriers to transferable deployment models.
Key findings
- The review integrates mechanical performance, non-destructive damage monitoring and AI prediction for sustainable hybrid polymer composites. Inconsistent datasets and formulation-specific reporting remain major barriers to transferable deployment models.
Why this matters globally
This work adds internationally comparable evidence in Engineering and defines questions for replication in other populations or systems. Its global value lies in the evidence and transferable reasoning, not in a single impact score.
Thai researcher contribution
Thailand-linked authors and King Mongkut's University of Technology North Bangkok contribute to the research network behind this work. Thai participation is identified from bibliographic affiliations and should be checked against the author list and source article.
Limitations to consider
Conclusions inherit the quality, definitions and completeness of included studies; heterogeneity and publication bias can distort pooled impressions.