Results 71 to 80 of about 59,853 (261)

Thermal Cycle–Microstructure–Property Relationships in Rail Steel Heat‐Affected Zone Simulated by Gleeble

Advanced Engineering Materials, EarlyView.
Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo, João Marcos da Silva Nunes, Marcelly Cristiny Nunes de Carvalho, Alex Rojas, Cristie Luis Kugelmeier, Cristhian Ricardo Loayza Loayza, João Carlos Ferreira, Maria Veronica Goncalves Rodrigues, Rute Sayuri Kano, Isaac Araújo Furtado, Jacyara Dalylla da Silva Nunes, Jhonatan Peres de Sousa, Marcos Natan da Silva Lima, Eden Santos Silva, Gedeon Silva Reis, Samuel Filgueiras Rodrigues   +15 more
wiley   +1 more source

An Algorithm for Correcting Optic/electric Composite Submarine Cable Ampacity Calculation Parameters

Guangtongxin yanjiu, 2016
This paper describes a method to calculate the ampacity through thermal modeling using finite element modeling software.In the thermal modeling,the uncertainty of material parameters may cause error.In order to reduce the error,we propose an algorithm to
CHEN Xiang-zhi, AN Bo-wen
doaj  

Modeling of thermal errors for dual-spindle turning-milling compound machine tools based on hybrid networks

Scientific Reports
Thermal error is the key factor affecting the machining accuracy of high-precision CNC machine tools. In order to solve the problem of thermal error of dual-spindle turning and milling machine tools, this study proposes an optimized CNN-BiLSTM Hybrid ...
Wentao Lu, Jianchen Wang, Jianqiang Zhou, Xiaolei Deng, Hongyi Wu, Lei Zhang   +5 more
doaj   +1 more source

Thermal Error Transfer Prediction Modeling of Machine Tool Spindle with Self-Attention Mechanism-Based Feature Fusion

Machines
Thermal errors affect machining accuracy in high-speed precision machining. The variability of machine tool operating conditions poses a challenge to the modeling of thermal errors.
Yue Zheng, Guoqiang Fu, Sen Mu, Caijiang Lu, Xi Wang, Tao Wang   +5 more
doaj   +1 more source

Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size

Advanced Engineering Materials, EarlyView.
Secondary sacrificial templates were designed and printed to create a defined network within a porous carbon. Lattices thermally degrades during the sintering process. Lattices are imprinted into the ceramic template and transferred to the morphology of Globugraphite.
Christiane Roller, Justin Neumann, David Ploch, Lennard M. Flohr, Julian Karsten, Fabian A. Riebesehl, Bodo Fiedler   +6 more
wiley   +1 more source

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

Application of Time Series Analysis to Thermal Error Modeling on NC Machine Tools

工程科学与技术, 2006
:The basic principle and method of time series analysis and its application in thermal error modeling on NC machine tools were presented. How to utilize the thermal error serials surveyed to identify, model, predict and compensate was discussed in detail.
doaj  

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  

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

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