Results 71 to 80 of about 180,184 (258)

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Lignin waste-based low-cost porous carbon for efficient and stable CO2 capture

Results in Engineering
Developing a low-cost and renewable porous carbon-based CO2 adsorbent with excellent CO2 capture capacity, selectivity, stability and low regeneration energy is a contemporary research subject worldwide, especially in the context of a circular and carbon
Changle Wang, Jiong Sun, Fu-An Guo, Zhijing Liang, Cuizhen Bai, Salman Qadira, Hao Wang, Yuhe Liao, Boshi Li, Ruiqin Zhang, Haiming Yang, Shao-Tao Bai   +11 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Research and analysis on layer state distribution of EDI membrane block ion exchange resin

Gongye shui chuli
In order to master the distribution law of each layer state of the ion exchange resin in the EDI membrane block, this paper firstly analyzed the working principles and characteristics of the migration failure layer, exchange stability layer and ...
YUAN Guoquan, LI Huijun, ZHANG Jiangtao, JIANG Guoce, YIN Ping, DONG Juan, LIU Deqing, SHEN Weiqing, ZHOU Jiacai, LI Meizhen   +9 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

CSLD5-mediated cell wall remodelling regulates tissue mechanics and shoot meristem growth

Nature Communications
New tissues and organs in plants develop from stem cells located in meristematic tissues. Cell wall-mediated mechanics has been proposed to play crucial roles in controlling stem cell activity.
Miao Lan, Yimin Zhu, Alexis Peaucelle, Xianmiao Zhu, Yangxuan Liu, Xuemin Cao, Aram Gurzadyan, Geshuang Gao, Wenjuan Cai, Jérémy Gruel, Kalina T. Haas, Henrik Jönsson, Olivier Hamant, Raymond Wightman, Elliot Meyerowitz, Weibing Yang   +15 more
doaj   +1 more source

Assessment indicator system for siting of geologic CO2 sequestration in low-porosity and low-permeability saline aquifers: A case study of the Ordos Basin

Meitian dizhi yu kantan
ObjectiveCO2 injection and geologic sequestration in deep saline aquifers as underground spatial resources represents an important means of achieving the targets of greenhouse gas emission reduction and carbon neutrality.
Yu MOU, Haofan WANG, Xuejun LAI, Jinfeng MA, Shaocheng LUO, Lin LI, Zhao DING   +6 more
doaj   +1 more source