The precision of micro-force measurement depends on the force sensor sensitivity and the environmental disturbance magnitude. However, micro-force sensors generally have the poor anti-disturbance ability. Inspired by the shadow formed by water striders walking on water surface under sunlight, a viscoelastic-polymer micro-force (VPMF) sensor based on the shadow method was proposed, which could suppress disturbances effectively due to the high damping ratio of 0.22. The shadow diameter change and the applied force were proportional. The experimental results indicated that the sensitivity could reach 2.15 μN/pixel with a good linear performance. Furthermore, compared with the cantilever, it was capable of the reduction of the disturbance influence by approximately 96.35%. Therefore, the VPMF sensor can be applied to reliable micro-force measurement in complex environments such as industrial sites.
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http://dx.doi.org/10.1016/j.isatra.2022.09.004 | DOI Listing |
Sci Adv
January 2025
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspired by the spiral structure of and the processing principles of neuronal systems, this study presents a digital channel-enabled distributed force decoding strategy, resulting in a phygital tactile sensing system named PhyTac. This innovative system effectively prevents marker overlap and accurately identifies multipoint stimuli up to 368 regions from coupled signals.
View Article and Find Full Text PDFJ Mol Model
January 2025
Department of Chemistry, Birla Institute of Technology and Science, Pilani - K. K. Birla Goa Campus, Zuarinagar, 403726, Goa, India.
Context: Donor-acceptor (D-A) complexes, formed between two or more molecules held together by intermolecular forces, show interesting tunable properties and found applications in diverse fields, including semiconductors, catalysis, and sensors. In this study, we investigated the D-A complexes formed between perylene and 7,7,8,8-tetracyanoquinodimethane (TCNQ) and their chalcogen (S, Se) and fluorine derivatives. It was observed that interaction energies due to complex formation increase while the HOMO-LUMO gaps decrease with chalcogen substitutions.
View Article and Find Full Text PDFAm J Sports Med
January 2025
The Steadman Clinic, Vail, Colorado, USA.
Background: There is growing evidence that medial meniscotibial ligament (MTL) deficiency and medial meniscus extrusion may precede the development of some medial meniscus posterior root (MMPR) tears. However, no study has investigated the biomechanical consequences of MTL deficiency on the MMPR.
Hypothesis: (1) MTL deficiency leads to increased medial meniscus extrusion, (2) increased medial meniscus extrusion is correlated with increased compression and shear forces at the MMPR, and (3) MTL repair restores medial meniscus extrusion and MMPR forces to native levels.
Adv Mater
January 2025
Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China.
Structural diversity of biomolecules leads to various supramolecular organizations and asymmetric architectures of self-assemblies with significant piezoelectric response. However, the piezoelectricity of biomolecular self-assemblies has not been fully explored and the relationship between supramolecular structures and piezoelectricity remains poorly understood, which hinders the development of piezoelectric biomaterials. Herein, for the first time, the piezoelectricity of vitamin-based self-assemblies for power generation is systematically explored.
View Article and Find Full Text PDFAdv Mater
January 2025
Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, and flow. Researchers are increasingly deploying mechanical information recognition technologies (MIRT) that integrate information acquisition, pre-processing, and processing functions and are expected to enable advanced applications. However, this also poses significant challenges to information acquisition performance and information processing efficiency.
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