Acoustic Impedance‐Tailored High‐Performance Ultrasound‐Driven Triboelectric Nanogenerators
Advanced Energy Materials, EarlyView.An acoustic impedance–mismatched triboelectric nanogenerator is presented for efficient ultrasound energy harvesting in implantable medical devices. Concave and convex membrane patterning induces controlled acoustic impedance mismatch, which boosts output by ∼200% and ensures stable operation over 100 million cycles and six weeks in vivo, highlighting ...
Young‐Jun Kim +8 more
wiley +1 more source
Fracture toughness testing data: A technology survey [PDF]
Technical abstracts for about 90 significant documents relating to fracture toughness testing for various structural materials including information on plane strain and the developing areas of mixed mode and plane stress test conditions are presented. An
Carpenter, J. L., Jr., Stuhrke, W. F.
core +1 more source
Enabling Metal‐Based Soft Robotics Through Investment Casting
Advanced Intelligent Systems, EarlyView.Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft robotic structures addressing long lasting challenges like durability and nonlinearity of elastomer‐based soft robotics.
Felix Pancheri, Tim C. Lueth, Yilun Sun
wiley +1 more source
The influence of section diameter on the ultrasonic fatigue response of 316L stainless steel manufactured via laser powder bed fusion. [PDF]
Sci RepTrombley M, Birnbaum A, Allison J.
europepmc +1 more source
Fatigue testing of low-cost fiberglass composite wind turbine blade materials [PDF]
The static and fatigue behavior of transverse filament tape (TFT) fiberglass/epoxy and TFT/polyester composites was established by the testing of specimens cut from panels fabricated by a filament winding process used for the construction of large ...
Bennett, L. C., Hofer, K. E.
core +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Investigation of the mechanical work during ultrasonic fatigue loading using pulsed time-resolved X-ray diffraction. [PDF]
J Synchrotron RadiatJacquemain V +8 more
europepmc +1 more source
Investigation and characterization of constraint effects on flaw growth during fatigue loading of composite materials [PDF]
An investigative program is presented in an attempt to add to the current understanding of constraint effects on the response of composite materials under cyclic loading.
Gibbins, M. N. +3 more
core +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Ultrasonic Fatigue Properties of Metals
The Proceedings of Conference of Kyushu Branch, 2003 Norio KAWAGOISHI +4 more
openaire +2 more sources