Mohamed Ackiel Mohamed

MIMOS (Malaysia)

Papers

4

Total Citations

42

H-Index

4

About

Mohamed Ackiel Mohamed is a specialist in advanced manufacturing processes, with a particular focus on wire arc additive manufacturing (WAAM) and computational mechanics. His research bridges numerical simulation and experimental validation, tackling one of the most critical challenges in metal additive manufacturing: predicting and controlling structural distortion and plastic strain in deposited components. Mohamed's most significant contributions center on developing and refining thermomechanical computational models for WAAM processes. His work on hollow thin-walled stainless steel structures — notably using SS316L deposited onto SS304 substrates — has advanced understanding of how deposition layers generate substrate deformation, earning 15 citations per study. His development of an enhanced separation and deposition algorithm for distortion analysis represents a methodological advancement that improves simulation accuracy for completely removed WAAM components. He has further extended his expertise to chained welding-forming process simulations, exploring press force behavior and geometric deformation through nonlinear numerical methods. With a growing citation record across tightly focused, high-quality studies, Mohamed's work is increasingly recognized within the additive manufacturing and computational welding communities. His research offers practical tools for engineers seeking to reduce manufacturing defects and improve the dimensional accuracy of metal-printed components.

Research Focus

Key Achievements

4
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Experimental verification of computational and sensitivity analysis on substrate deformation and plastic strain induced by hollow thin-walled WAAM structure
15 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: MIMOS (Malaysia)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago