Results 111 to 120 of about 10,460,767 (272)

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA Method [PDF]

, 2016
Recirculating ball screw systems are commonly used in machine tools and are one of the major heat sources which cause considerable thermal drift in CNC machine tools.
Longstaff, Andrew P., Abuaniza, Ayman, Fletcher, Simon, Mian, Naeem S.   +3 more
core   +2 more sources

Deep Learning Prediction for Thermal Error of CNC Machine Tools Based on Attention Mechanism

工程科学与技术, 2021
Thermal error prediction and compensation of CNC machine tools is an important technology to improve the machining accuracy and reliability of CNC machine tools. The thermal error of machine tool is time-varying and nonlinear. To improve the accuracy and
Liuqing DU, Renjie LI, Baochuan LI
doaj  

Effect of Calendering and Surface Treatment on the Thermochromic Response of Cholesteric Liquid Crystals on PET Nonwovens

Advanced Engineering Materials, EarlyView.
This study explores the influences of calendering and surface treatment during direct ink writing (DIW) of thermochromic cholesteric liquid crystal (CLC) on PET nonwovens. For the PVA‐coated nonwovens, calendering reduces pore size leading to reduced ink absorption and enhanced spreading. The NeverWet‐coated nonwovens improve thermochromic responses by
Sreenivasan Sreenivasan Narayanan, Lineth Pérez Monsalve, Christina Tang, Hong Zhao   +3 more
wiley   +1 more source

Real-time surrogate compensation architecture for machine-tool thermal error compensation with high-performance model

Discover Applied Sciences
Thermal error compensation based on high-performance (high-accuracy prediction of thermal errors under complex machining conditions and environments) models is of great significance to high-precision CNC machining. Currently, the high-performance thermal
Yubin Huang, Hongyou Hong, Huichen Zhou, Hua Xiang, Jianzhong Yang   +4 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A Hybrid Prediction Method of Thermal Extension Error for Boring Machine Based on PCA and LS-SVM

MATEC Web of Conferences, 2017
Thermal extension error of boring bar in z-axis is one of the key factors that have a bad influence on the machining accuracy of boring machine, so how to exactly establish the relationship between the thermal extension length and temperature and predict
Cheng Qiang, Yu Yanwei, Li Guangpeng, Li Weishuo, Sun Bingwei, Cai Ligang   +5 more
doaj   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

Advanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti, Kubra Kocak, Andrea Michel, Enrico Cavarzerani, Ali Raza, Petr Rohzin, Nouha Loudhaief, Saimir Frroku, Nicolò Baldovin, Hazrat Bilal, Alvise Perosa, Maurizio Selva, Flavio Rizzolio, Luca Sbuelz, Sabrina Tamburini, Domenico De Fazio, Giovanni Antonio Salvatore   +16 more
wiley   +1 more source

A New Synthesis Error Modeling and Compensating Algorithm of the Five-axis Machine Tools

工程科学与技术, 2013
:In order to construct the high precision error compersation model,the topological relationship of machine kinematics was simplified and 59 independent error components were analyzed.Based on the rigid body kinematics with small error assumption,a new ...
要小鹏, 殷国富, 方辉
doaj