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Iterative Learning for Efficient Additive Mass Production

https://doi.org/10.2139/ssrn.4806329
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Machines as Craftsmen: Localized Parameter Setting Optimization for Fused Filament Fabrication 3D Printing
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Machines as Craftsmen: Localized Parameter Setting Optimization for Fused Filament Fabrication 3D Printing
inferredcites →https://doi.org/10.1002/aisy.201900130openalex-extracted
Automated Real‐Time Detection and Prediction of Interlayer Imperfections in Additive Manufacturing Processes Using Artificial Intelligence
inferredcites →https://doi.org/10.1002/aisy.202200153openalex-extracted
Quantitative and Real‐Time Control of 3D Printing Material Flow Through Deep Learning
inferredcites →https://doi.org/10.1007/s00170-015-7809-4openalex-extracted
In situ monitoring of FDM machine condition via acoustic emission
inferredcites →https://doi.org/10.1007/s10845-018-1424-9openalex-extracted
Profile monitoring based quality control method for fused deposition modeling process
inferredcites →https://doi.org/10.1007/s10845-020-01628-4openalex-extracted
Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers
inferredcites →https://doi.org/10.1007/s40436-014-0097-7openalex-extracted
Optimization of fused deposition modeling process parameters: a review of current research and future prospects
inferredcites →https://doi.org/10.1016/b978-0-12-814062-8.00002-9openalex-extracted
Review of additive manufacturing technologies and applications in the aerospace industry
inferredcites →https://doi.org/10.1016/j.addma.2017.08.003openalex-extracted
In situ real time defect detection of 3D printed parts
inferredcites →https://doi.org/10.1016/j.addma.2021.102191openalex-extracted
A generalizable artificial intelligence tool for identification and correction of self-supporting structures in additive manufacturing processes
inferredcites →https://doi.org/10.1016/j.arcontrol.2005.01.003openalex-extracted
Iterative learning control — An optimization paradigm
inferredcites →https://doi.org/10.1016/j.autcon.2021.103642openalex-extracted
A systematic review and analysis of the viability of 3D-printed construction in remote environments
inferredcites →https://doi.org/10.1016/j.compositesb.2018.02.012openalex-extracted
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
inferredcites →https://doi.org/10.1016/j.matdes.2018.11.047openalex-extracted
Deformation and fracture of 3D printed disordered lattice materials: Experiments and modeling
inferredcites →https://doi.org/10.1016/j.rcim.2018.05.010openalex-extracted
Nozzle condition monitoring in 3D printing
inferredcites →https://doi.org/10.1038/s41467-022-31985-yopenalex-extracted
Generalisable 3D printing error detection and correction via multi-head neural networks
inferredcites →https://doi.org/10.1109/access.2019.2905264openalex-extracted
Fault Diagnosis of Delta 3D Printers Using Transfer Support Vector Machine With Attitude Signals
inferredcites →https://doi.org/10.1109/aim.2015.7222632openalex-extracted
A study to detect a material deposition status in fused deposition modeling technology
inferredcites →https://doi.org/10.1109/robot.1999.772544openalex-extracted
Monte Carlo localization for mobile robots
inferredcites →https://doi.org/10.1109/tii.2019.2920661openalex-extracted
Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers
inferredcites →https://doi.org/10.1109/tnnls.2022.3158966openalex-extracted
RegNet: Self-Regulated Network for Image Classification
inferredcites →https://doi.org/10.1109/wacv.2018.00097openalex-extracted
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
inferredcites →https://doi.org/10.1126/sciadv.abb4641openalex-extracted
3D printed patient-specific aortic root models with internal sensors for minimally invasive applications
inferredcites →https://doi.org/10.1186/s40779-022-00429-5openalex-extracted
A review on cell damage, viability, and functionality during 3D bioprinting
inferredcites →https://doi.org/10.3390/inventions5030025openalex-extracted
Detection of Material Extrusion In-Process Failures via Deep Learning
inferredcites →https://doi.org/10.3390/jcs6070202openalex-extracted
Failures and Flaws in Fused Deposition Modeling (FDM) Additively Manufactured Polymers and Composites
inferredcites →https://doi.org/10.3390/ma14061511openalex-extracted
In Situ Monitoring of Additive Manufacturing Using Digital Image Correlation: A Review
inferredcites →https://doi.org/10.3390/machines3020055openalex-extracted
Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis
inferredcites →https://doi.org/10.4028/b-ucq1ljopenalex-extracted
Ecology and New Building Materials and Products
inferredcites →https://doi.org/10.48550/arxiv.2108.07258openalex-extracted
On the Opportunities and Risks of Foundation Models
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