Amir Ameli

Washington State University Tri-Cities

Papers

3

Total Citations

46

H-Index

3

About

Amir Ameli is a materials scientist and engineer whose research sits at the dynamic intersection of additive manufacturing, smart materials, and flexible electronics. His work focuses primarily on the development and characterization of polymer nanocomposites — particularly thermoplastic polyurethane (TPU) reinforced with multiwall carbon nanotubes (MWCNTs) — engineered for next-generation sensing applications. Ameli's most significant contributions center on demonstrating the feasibility of using fused deposition modeling (FDM) 3D printing to fabricate highly elastic, piezoresistive strain sensors with tunable electrical and mechanical properties. His 2017 study on highly elastic strain sensors garnered 17 citations, establishing an important foundation for embedding sensing capabilities directly into printed structures — a breakthrough relevant to wearable electronics and soft robotics. Complementary work examining the mechanical behavior and electrical conductivity of these nanocomposites, accumulating 16 and 13 citations respectively, further solidified his contributions to understanding structure-property relationships in printed smart materials. Collectively, Ameli's research addresses a critical gap in soft robotics and wearable technology: producing sensing materials that are both functionally robust and manufacturable through scalable processes, making his work an essential reference for researchers advancing the frontiers of intelligent, flexible systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
46
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
3D printing of highly elastic strain sensors using polyurethane/multiwall carbon nanotube composites
17 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Washington State University Tri-Cities

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago