Papers

4

Total Citations

72

H-Index

4

About

Muhd Faiz Mat is a researcher specializing in advanced manufacturing simulation, welding mechanics, and additive manufacturing processes, with a particular focus on wire arc additive manufacturing (WAAM) and its associated deformation challenges. His work bridges the gap between numerical modelling and experimental validation, providing the manufacturing community with reliable computational frameworks for predicting and controlling structural distortion in metal components. His most impactful contribution, garnering 30 citations, experimentally validated numerical simulations of deformation behaviour in WAAM using stainless steel SS316L feedstock — a critical step toward industrial confidence in simulation-guided manufacturing. Building on this foundation, he developed thermomechanical and inherent strain methods to analyse angular strain in gas metal arc welding (GMAW), cited 21 times, demonstrating versatility across welding processes. His 2023 work introduced an enhanced separation and deposition algorithm for distortion analysis in hollow thin-wall WAAM components, reflecting growing methodological sophistication. Further broadening his scope, he explored chained welding-forming process simulations using non-linear computation, connecting sequential manufacturing stages analytically. With over 70 cumulative citations across four years, Muhd Faiz Mat is establishing himself as a valuable contributor to computational manufacturing research, equipping engineers with practical tools to optimise structural integrity in welded and additively manufactured components.

Research Focus

Key Achievements

4
H-Index
4
Papers
72
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Experimental validation of numerical simulation on deformation behaviour induced by wire arc additive manufacturing with feedstock SS316L on substrate S235
30 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Universiti Teknologi MARA, Universiti Teknologi MARA System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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