Results 41 to 50 of about 87,767 (354)
CenterNet-based defect detection for additive manufacturing
Expert Systems with Applications, 2022 Abstract Additive manufacturing (AM) has been widely used in the fabrication of optical components. However, surface defects generated during the AM process have an adverse effect on surface quality. Although some studies have explored the defect features based on the processing of information including images, acoustic signals, thermal history, etc.,
Ruoxin Wang, Chi Fai Cheung
openaire +2 more sources
Materials & Design, 2020 X-ray tomography has emerged as a uniquely powerful and non-destructive tool to analyze defects in additive manufacturing. Defects include unintended porosity, rough surfaces and deviations from design, which can have different root causes and can vary ...
Anton du Plessis +2 more
doaj +1 more source
An Ontology for Defect Detection in Metal Additive Manufacturing
CoRR, 2022 A key challenge for Industry 4.0 applications is to develop control systems for automated manufacturing services that are capable of addressing both data integration and semantic interoperability issues, as well as monitoring and decision making tasks.
Massimo Carraturo, Andrea Mazzullo
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Virtual manufacturing: prediction of work piece geometric quality by considering machine and set-up
, 2011 Lien vers la version éditeur: http://www.tandfonline.com/doi/full/10.1080/0951192X.2011.569952#.U4yZIHeqP3UIn the context of concurrent engineering, the design of the parts, the production planning and the manufacturing facility must be considered ...
MARTIN, Patrick +6 more
core +1 more source
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
FEBS Letters, EarlyView.Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Quantum artificial vision for defect detection in manufacturing
CoRR, 2022 11 pages, 7 figures, 16 tables, revised ...
Daniel Guijo +9 more
openaire +2 more sources
Orthodontic Journal of Nepal, 2022 Objectives: This research was conducted to evaluate the surface topography, elemental composition and manufacturing defects of two brands of mini-implants commonly used in India.
Palash Bhawsar +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
Defect detection of gear parts in virtual manufacturing
Visual Computing for Industry, Biomedicine, and Art, 2023 AbstractGears play an important role in virtual manufacturing systems for digital twins; however, the image of gear tooth defects is difficult to acquire owing to its non-convex shape. In this study, a deep learning network is proposed to detect gear defects based on their point cloud representation.
Zhenxing Xu +3 more
openaire +3 more sources