Automated Shear Strength Characterization at Micro Scales Based on a Microrobotic System
Mechanical properties are critical for characterizing and fabricating advanced materials. While current characterization methods are well-established for the nanoscale and larger millimeter-scale, a significant gap exists in automated testing at the microscale. To address this, we propose an automated, rapid characterization method based on a microrobotic system. We first develop a 6-degree-of-freedom (DOF) microrobotic system for sample alignment and testing. An image processing method is then designed for real-time sample recognition, supplying essential feedback for both alignment and testing procedures. Furthermore, a soft force sensor is fabricated and calibrated to ensure precise force measurement. Experiments on copper wires and graphite films demonstrate the method's high precision and reliability. This work provides a robust solution for microscale mechanical property characterization, offering significant potential for advanced material development.
Authors
- Xing Li (ORCID: https://orcid.org/0000-0002-5805-0508)
- Panbing Wang (ORCID: https://orcid.org/0000-0003-1152-2456)
- Xinyu Liu (ORCID: https://orcid.org/0009-0007-2535-5800)
Institutions
- China Pharmaceutical University (CN)
- Southeast University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Micromachines
- Published
- 2025-10-19
- DOI
- https://doi.org/10.3390/mi16101180
- Primary Topic
- Nonlocal and gradient elasticity in micro/nano structures
- Type
- article
- Field-Weighted Citation Impact
- 0.00