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.

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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
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article

Automated Shear Strength Characterization at Micro Scales Based on a Microrobotic System

Xing Li, Panbing Wang, Xinyu Liu
Micromachines
Nonlocal and gradient elasticity in micro/nano structures
article

Automated Shear Strength Characterization at Micro Scales Based on a Microrobotic System

Xing Li, Panbing Wang, Xinyu Liu
article en

Abstract

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.

MicromachinesVol. 16(10)
China Pharmaceutical University (CN), Southeast University (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 77%
Nonlocal and gradient elasticity in micro/nano structures
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Automated Shear Strength Characterization at Micro Scales Based on a Microrobotic System — Xing Li, Panbing Wang, et al. · Micromachines (2025) | TGRS Research Map | TGRS