Results 121 to 130 of about 9,917,814 (292)

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

Advanced Intelligent Control in Robots. [PDF]

Sensors (Basel), 2023
Vladareanu L, Yu H, Wang H, Feng Y.
europepmc   +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

Analysis and research on quality defects of two-color moulded automotive interior parts based on IMD technology

Scientific Reports
In-mold decoration (IMD) technology is gaining increasingly interest in producing high-quality, reliable interior components within the automotive industry.
Zhengcai Wang, Bao Li, Gaofeng Xu, Yunling Qu   +3 more
doaj   +1 more source

Coal mine working face historical scene reconstruction and fault tracing technology based on digital twin

Gong-kuang zidonghua
To address the problems of fragmented multi-source data, spatiotemporal misalignment, and low fault diagnosis efficiency in coal mine working face historical scene reconstruction and fault tracing, this study investigated a coal mine working face ...
LI Tianyue, LIU Qing, DONG Qifan, FENG Pei   +3 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Intelligent Fault Diagnosis Method Based on Hybrid Attention and Dimension-Aligned Distillation for Rotating Machinery

IET Signal Processing
Intelligent fault diagnosis (IFD) of rotating machinery is critical for ensuring industrial safety and reliability. However, existing deep learning-based IFD methods face three core challenges: suboptimal feature discrimination of single attention ...
Chuanyan Wu, Zhiguo Yu, Bentao Lin, Biao Yu, Qinyu Jiang, Huanghe Zhang, Rui Gao, Qifan Yang, Rui Song   +8 more
doaj   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

DBDA-net: An interpretable multi-source domain adaptive model for bearing fault diagnosis using dual-end vibration signals

Journal of King Saud University: Computer and Information Sciences
As the core transmission component of rotating machinery, the accuracy and generalization of bearing fault diagnosis are critical for the safe and stable operation of industrial systems.
Ziang Du, Yanfei Liu, Zhaoqiang Wang, Congbao Tian, Qian Zhang   +4 more
doaj   +1 more source