Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks.
Qiming ZhuZeliang LiuJinhui YanPublished in: CoRR (2020)
Keyphrases
- fluid dynamics
- machine learning
- neural network
- high temperature
- pattern recognition
- numerical simulations
- quality control
- computer science
- navier stokes
- fuzzy logic
- artificial intelligence
- computer vision
- machine learning methods
- artificial neural networks
- learning algorithm
- natural language processing
- multi layer
- manufacturing systems
- learning tasks
- feature selection
- genetic algorithm
- room temperature
- manufacturing processes
- recurrent neural networks
- neural network model
- back propagation
- computational intelligence
- decision trees
- information extraction
- image sequences
- self organizing maps
- knowledge acquisition
- text classification
- fuzzy systems
- learning classifier systems
- back propagation neural network
- support vector machine
- chemical vapor deposition
- expert systems