Jigar Patdiya
Papers
1
Total Citations
3
H-Index
1
About
Jigar Patdiya is a materials scientist and engineer whose research lies at the intersection of additive manufacturing and smart materials. His work focuses on advancing 3D printing technologies—particularly Fused Deposition Modeling (FDM)—by integrating nano-fillers and stimuli-responsive polymers to create functional, shape-memory structures. Patdiya’s most cited paper, “Fused Deposition Modeling (FDM) and Nano-Fillers Impact on Shape Memory Properties of 3D Printed Thermoplastic Polyurethane (TPU) Filament” (2022), has garnered 3 citations and explores how nature-inspired designs can be replicated through 3D printing. This work demonstrates how incorporating nano-fillers into TPU filaments enhances the shape memory effect, enabling printed objects to recover their original form under external stimuli—a breakthrough with implications for biomedical devices, soft robotics, and adaptive materials. By merging the design flexibility of additive manufacturing with the dynamic behavior of smart polymers, Patdiya is helping to push the boundaries of what 3D-printed materials can achieve. His research offers a compelling glimpse into a future where printed objects are not just static, but responsive and intelligent.
Research Focus
Key Achievements
Top Papers
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