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Applications of Modeling and Machine Learning in Additive Manufacturing
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (292 p.)Innehållstyp: - text
- computer
- online resource
- 9783725837458
- 9783725837465
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- History of engineering and technology
- 3D printing
- AlSi10Mg
- Gaussian Process Regression
- Inconel 718
- K-means clustering
- Stokes law
- Ti-6Al-4V
- WAAM
- additive manufacturing
- aluminum alloy
- buoyancy
- computerized tomography
- convective flow
- deep learning
- direct energy deposition
- directed energy deposition
- expert knowledge
- finite element method
- gas pores
- gas porosity index
- hardness
- image segmentation
- in situ monitoring
- keyhole
- lack of fusion
- laser direct energy deposition
- laser powder bed fusion
- linear mixed-effects models
- machine learning
- melt pool characterization
- metal additive manufacturing
- modeling
- molten pool
- monitoring
- multiscale simulation
- neural networks
- nickel plating
- online learning
- optical tomography
- physics-informed neural networks
- principal component analysis
- process monitoring
- quality inspection
- random forest
- real-time modeling
- recurrent neural network
- scratch test
- self-organizing maps
- single track geometry
- stainless steel 316
- statistics
- surface repair
- surrogate model
- temperature field prediction
- temperature history
- tensile properties
- thermal
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This Special Issue reprint includes thirteen articles on the applications of modeling and machine learning for the novel design of additively manufactured products, additive manufacturing processes, alloy design, tailoring microstructures, customized mechanical and chemical properties, improved creep resistance, fatigue life, serviceability, and reducing defects and residual stresses and distortion.
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eng
Freely available e-book