Machine Learning for Powder Based Metal Additive Manufacturing is popular PDF and ePub book, written by Gurminder Singh in 2024-09-04, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning for Powder Based Metal Additive Manufacturing can be Read Online from any device for your convenience.
Machine Learning for Powder Based Metal Additive Manufacturing Book PDF Summary
Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book 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. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. 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
Detail Book of Machine Learning for Powder Based Metal Additive Manufacturing PDF
- Author : Gurminder Singh
- Release : 04 September 2024
- Publisher : Elsevier
- ISBN : 9780443221460
- Genre : Technology & Engineering
- Total Page : 291 pages
- Language : English
- PDF File Size : 14,9 Mb
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