3D-Printed Soft Resistive Sensors: Design and Validation

Project Details

• Student(s): Perla Nader
• Advisor(s): Dr. Charbel Tawk, Dr. Pierre Rahme, Dr. Jimmy Issa
• Department: Industrial & Mechanical
• Academic Year(s): 2025-2026

Abstract

Self-sensing capabilities in soft and hybrid structures are essential for real-time deformation monitoring and structural health assessment. This project focuses on integrating resistive sensors into 3D-printed soft structures to develop embedded resistive sensing pathways. The objective is to design, fabricate, and experimentally validate 3D-printed soft structures embedded with resistive sensors for self-sensing applications. The fabricated structures are characterized to evaluate their sensing performance, including linearity, repeatability, stability, and operational lifetime.

This work includes the development of reliable electrical measurement circuits and systematic mechanical testing to analyze electromechanical behavior (resistance) under different loading conditions.