Machine Learning for Powder-Based Metal Additive Manufacturing: Additive Manufacturing Materials and Technologies
Editat de Gurminder Singh, Farhad Imani, Asim Tewari, Sushil Mishraen Limba Engleză Paperback – 9 sep 2024
In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study.
- Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs
- Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications
- Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM
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Specificații
ISBN-13: 9780443221453
ISBN-10: 0443221456
Pagini: 290
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Additive Manufacturing Materials and Technologies
ISBN-10: 0443221456
Pagini: 290
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Additive Manufacturing Materials and Technologies
Cuprins
1. Overview of Machine learning for additive manufacturing
2. ML for Design in AM
3. Machine learning for materials developments in metals additive manufacturing
4. Geometrical deviation modelling by Machine learning
5. Physics informed machine learning modelling of metal AM
6. Machine learning enabled powder spreading process
7. Machine learning for Metal AM process optimization
8. Intelligent monitoring of metal additive manufacturing
9. Post-processing optimisation of nano finishing by machine learning
10. Data-driven cost estimation by Machine learning
2. ML for Design in AM
3. Machine learning for materials developments in metals additive manufacturing
4. Geometrical deviation modelling by Machine learning
5. Physics informed machine learning modelling of metal AM
6. Machine learning enabled powder spreading process
7. Machine learning for Metal AM process optimization
8. Intelligent monitoring of metal additive manufacturing
9. Post-processing optimisation of nano finishing by machine learning
10. Data-driven cost estimation by Machine learning