An interpretable hybrid adaptive framework combining empirical mode decomposition and deep learning for real-time nonstationary signal analysis in smart manufacturing [PDF]
Journal of Intelligent Manufacturing and Special EquipmentPurposeIn the context of Industry 4.0, smart manufacturing systems produce complex, nonstationary and nonlinear signal data streams that challenge traditional analytical methods.
Milad Rahmati, Nima Rahmati
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STRESS - STRAIN CURVE ANALYSIS OF WOVEN FABRICS MAD E FROM COMBED YARNS TYPE WOOL [PDF]
Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, 2014 The paper analyses the tensile behavior of woven fabrics made from 45%Wool + 55% PES used for garments. Analysis of fabric behavior during wearing has shown that these are submitted to simple and repeated uni-axial or bi-axial tensile strains.
VÎLCU Adrian +3 more
doaj
Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality [PDF]
Advanced ManufacturingAs customer demands become increasingly diverse, the colors and styles of vehicles offered by automotive companies have also grown substantially. It poses great challenges to design and management of automotive manufacturing system, among which is the ...
Jing Huang, Qing Chang, Hua-Tzu Fan
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A NEW 3D DESIGN METHOD FOR FOOTWEAR SOLES USING DELCAM PowerSHAPE-e SYSTEM [PDF]
Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, 2016 Design methods of soles and soles injection moulds must be accurate, timely and at the same time, accessible to a wide category of soles and injection moulds designers and manufacturers.
IONESCU Cozmin +2 more
doaj
Systems theory as the foundation for advanced manufacturing management [PDF]
Advanced ManufacturingThe development of any field relies on a consistent conceptual foundation. This foundation serves as a reference framework that can inform field development while guiding practice.
Polinpapilinho Katina
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A review on physics-informed machine learning for monitoring metal additive manufacturing process [PDF]
Advanced ManufacturingThe traditional data-driven models and pure physics models have been widely employed in quality prediction for additive manufacturing (AM). However, data-driven models rely on a large amount of labeled data, while pure physics models suffer from lower ...
Shoulan Yang +3 more
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UEG Week 2022 Moderated Posters
, 2022 United European Gastroenterology Journal, Volume 10, Issue S8, Page 185-472, October 2022.
wiley +1 more source
A review on transfer learning in spindle thermal error compensation of spindle [PDF]
Advanced ManufacturingData-driven approaches offer unprecedented opportunities for smart manufacturing to facilitate the transition to Industry 4.0-based production. One of the key factors affecting the accuracy of machine tools is the thermal error caused by thermal ...
Yue Zheng +5 more
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Mechanical performance of bamboo-inspired tapered hollow strut lattice structures fabricated by laser powder bed fusion (LPBF) [PDF]
Advanced ManufacturingDrawing upon the intricacies of nature, bionics has significantly bolstered the engineering structure performance by providing innovative solutions and novel design principles.
Yu Song +6 more
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IDCC 2301 isolated from homemade cheese
, 2021 For applications of microorganisms as probiotics in the food industry, safety evaluation has increasingly become important to ensure the health of consumers.
Kim, Taeok +15 more
core +1 more source