Muhammad Umer Shan

University of Engineering and Technology Taxila

Papers

1

Total Citations

2

H-Index

1

About

Dr. Muhammad Umer Shan is a forward-thinking researcher in advanced manufacturing, specializing in Design for Additive Manufacturing (DFAM) and Design for Assembly (DFA). His work bridges the gap between 3D printing innovation and practical industrial application, with a particular focus on large-scale additive manufacturing products. His most cited paper, "Design for assembly approach for additive manufacturing products: a decision support system for large-size AM products" (2022), introduces a novel decision support system that integrates DFA principles into DFAM, enabling manufacturers to optimize assembly processes for oversized 3D-printed components. This contribution addresses a critical bottleneck in scaling AM for real-world production, offering a systematic framework that reduces assembly complexity and enhances product integrity. With 2 citations in a nascent field, his work is gaining traction among researchers and engineers seeking to transition AM from prototyping to mass customization. Dr. Shan’s research exemplifies how digital design tools can revolutionize traditional manufacturing paradigms, making him a key voice in the evolution of smart, sustainable production systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design for assembly approach for additive manufacturing products: a decision support system for large-size AM products
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Engineering and Technology Taxila

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago