Results 131 to 140 of about 6,104,615 (215)

MFAFENet: A Multi-Sensor Collaborative and Multi-Scale Feature Information Adaptive Fusion Network for Spindle Rotational Error Classification in CNC Machine Tools. [PDF]

Entropy (Basel)
Wang F, Song L, Wang P, Deng P, Lan T.
europepmc   +1 more source

A Constraint‐Based Analytical Framework for Design‐Space Analysis and Material Screening of Tubular Multilayer Dielectric Elastomer Pumps for Extracorporeal Circulatory Applications

Advanced Materials Technologies, EarlyView.
A constraint‐based analytical framework maps the coupled effects of material properties, structural parameters, and operating conditions in tubular dielectric elastomer pumps for extracorporeal circulatory applications. The approach defines performance boundaries through mechanical, electrical, and hydraulic constraints and identifies feasible design ...
Yan Zhang, Amine Benouhiba, Yoan Civet, Yves Perriard   +3 more
wiley   +1 more source

An Indicator Based on Spatial Coordinate Information for Assessing the Capability for Dynamic Machining Performance of Five-Axis Flank Milling. [PDF]

Sensors (Basel)
Yao C, He G, Sang Y, Yue C, Yan Y, Wang S.   +5 more
europepmc   +1 more source

Spatially Configurable Conformal Sensor Integration on an Ultra‐Fine Metallic Needle for Minimally Invasive Deep‐Tissue Oxygen Monitoring

Advanced Materials Technologies, EarlyView.
A multi‐point oxygen‐sensing ultra‐fine needle (MO‐UFN) is developed by conformally integrating a lithographically patterned flexible electrochemical sensor array onto a clinical acupuncture needle. The platform preserves an approximately 0.3 mm diameter while enabling spatially resolved oxygen profiling along the insertion pathway.
Yeju Seo, Jaeho Park, Yongrok Jeong, Ji‐Hwan Ha, Junseong Ahn, Jimin Gu, Su A Park, Ilwoo Jun, Kichul Lee, Inkyu Park   +9 more
wiley   +1 more source

Based on Data-Augmentation long short-term memory​​ gear meshing accuracy and error compensation. [PDF]

Sci Rep
Liu F, Zou L, Cao Z, Jing X, Xing K, Liu M.   +5 more
europepmc   +1 more source

Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation

Advanced Materials Technologies, EarlyView.
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek, Daniel Quinn, Gabriel Smith, Sarah Bergbreiter   +3 more
wiley   +1 more source

High-Precision Centroid Measurement Method Based on 3D Scanning and Hooke's Law. [PDF]

Sensors (Basel)
He X, Li Z, Pan X, Yang Y.
europepmc   +1 more source

Programming Actuation in 3D‐Printed Micro‐Architectures via Interfacial Adhesion Control

Advanced Materials Technologies, EarlyView.
A two‐phase meniscus‐guided 3D printing method directly fabricates microscale poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(vinyl alcohol) (PVA) bilayers with in situ programmable interfaces. Modulating the meniscus stretching speed switches the interface between separated and bonded states, which controls the mechanical ...
Xiao Huan, Juhyung Kim, Yujin Park, Shiqi Hu, Jihyuk Yang, Nan Huang, Feipeng Chen, Yu Liu, Sixi Cao, Zhuoran Wang, Ho Cheung Shum, Barbara Pui Chan, Dongwoon Shin, Ji Tae Kim   +13 more
wiley   +1 more source

Multiobjective optimization for the bed structure of a CNC gantry machine tool based on neural networks and intelligent optimization algorithms. [PDF]

Sci Prog
Bai Y, Yuan Z, Yan Y, Liu S.
europepmc   +1 more source

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

Advanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi, Osman Gul, Wonhee Lee, Seokjoo Cho, Yong‐Jin Yoon, Paola Saccomandi, Inkyu Park   +6 more
wiley   +1 more source