Machine Learning for Powder-Based Metal Additive Manufacturing PDF Download
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Author: Gurminder Singh
Publisher: Elsevier
ISBN: 0443221464
Category : Technology & Engineering
Languages : en
Pages : 291
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Book Description
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
Author: Gurminder Singh
Publisher: Elsevier
ISBN: 0443221464
Category : Technology & Engineering
Languages : en
Pages : 291
Get Book Here
Book Description
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
Author: Kun Zhou
Publisher: John Wiley & Sons
ISBN: 3527822232
Category : Technology & Engineering
Languages : en
Pages : 325
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Book Description
Metal Powder—Based Additive Manufacturing Highly comprehensive resource covering all key aspects of the current developments of metal powder—based additive manufacturing Metal Powder—Based Additive Manufacturing provides valuable knowledge and critical insights regarding the recent advances in various metal powder—based additive manufacturing techniques. This book also reviews typical powder preparation processes and highlights the significance of metal powder—based additive manufacturing for various industrial applications. The key features covered in this book: A rigorous overview of the underlying theories and practical applications of metal powder—based additive manufacturing techniques, including laser powder bed fusion, electron beam melting, laser-based directed energy deposition, and metal binder jetting. An expansive introduction of each technique and its significance pertaining to the printing processes, metallurgical defects, powder materials, equipment, and the microstructures and mechanical properties of the printed parts. A deep exploration of the preparation processes of metal powders for additive manufacturing and the effects of different processes on the powder properties. Comprehensive case studies of parts printed by metal powder—based additive manufacturing for various industrial applications. By providing extensive coverage of relevant concepts in the field of metal powder—based additive manufacturing, this book highlights its essential role in Industry 4.0 and serves as a valuable resource for scientists, engineers, and students in materials science, powder metallurgy, physics, and chemistry. The rich research experience of the authors in additive manufacturing ensures that the readers are provided with both an in-depth understanding and informative technical guidance of metal powder—based additive manufacturing.
Author: Dyuti Sarker
Publisher: John Wiley & Sons
ISBN: 1119210836
Category : Science
Languages : en
Pages : 624
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Book Description
METAL ADDITIVE MANUFACTURING A comprehensive review of additive manufacturing processes for metallic structures Additive Manufacturing (AM)—also commonly referred to as 3D printing—builds three-dimensional objects by adding materials layer by layer. Recent years have seen unprecedented investment in additive manufacturing research and development by governments and corporations worldwide. This technology has the potential to replace many conventional manufacturing processes, enable the development of new industry practices, and transform the entire manufacturing enterprise. Metal Additive Manufacturing provides an up-to-date review of all essential physics of metal additive manufacturing techniques with emphasis on both laser-based and non-laser-based additive manufacturing processes. This comprehensive volume covers fundamental processes and equipment, governing physics and modelling, design and topology optimization, and more. The text adresses introductory, intermediate, and advanced topics ranging from basic additive manufacturing process classification to practical and material design aspects of additive manufacturability. Written by a panel of expert authors in the field, this authoritative resource: Provides a thorough analysis of AM processes and their theoretical foundations Explains the classification, advantages, and applications of AM processes Describes the equipment required for different AM processes for metallic structures, including laser technologies, positioning devices, feeder and spreader mechanisms, and CAD software Discusses the opportunities, challenges, and current and emerging trends within the field Covers practical considerations, including design for AM, safety, quality assurance, automation, and real-time control of AM processes Includes illustrative cases studies and numerous figures and tables Featuring material drawn from the lead author’s research and professional experience on laser additive manufacturing, Metal Additive Manufacturing is an important source for manufacturing professionals, research and development engineers in the additive industry, and students and researchers involved in mechanical, mechatronics, automatic control, and materials engineering and science.
Author: IEEE Staff
Publisher:
ISBN: 9781538652992
Category :
Languages : en
Pages :
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Book Description
IPSN (part of CPSWEEK) brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design Of special interest are contributions at the confluence of multiple of these areas
Author: Ron S. Kenett
Publisher: John Wiley & Sons
ISBN: 1119513898
Category : Technology & Engineering
Languages : en
Pages : 656
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Book Description
An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource: Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems Explores effective evidence-based risk management practices Describes an integrated approach to safety, reliability, and cyber security based on system theory Discusses entrepreneurship as a multidisciplinary system Emphasizes technical merits of systems engineering concepts by providing technical models Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.
Author: Hang Z. Yu
Publisher: John Wiley & Sons
ISBN: 3527350934
Category : Technology & Engineering
Languages : en
Pages : 421
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Book Description
Timely summary of state-of-the-art solid-state metal 3D printing technologies, focusing on fundamental processing science and industrial applications Solid-State Metal Additive Manufacturing: Physics, Processes, Mechanical Properties, and Applications provides detailed and in-depth discussion on different solid-state metal additive manufacturing processes and applications, presenting associated methods, mechanisms and models, and unique benefits, as well as a detailed comparison to traditional fusion-based metal additive manufacturing. The text begins with a high-level overview of solid-state metal additive manufacturing with an emphasis on its position within the metal additive manufacturing spectrum and its potential for meeting specific demands in the aerospace, automotive, and defense industries. Next, each of the four categories of solid-state additive technologies—cold spray additive manufacturing, additive friction stir deposition, ultrasonic additive manufacturing, and sintering-based processes—is discussed in depth, reviewing advances in processing science, metallurgical science, and innovative applications. Finally, the future direction of these solid-state processes, especially the material innovation and artificial intelligence aspects, are discussed. Sample topics covered in Solid-State Metal Additive Manufacturing include: Physical processes and bonding mechanisms in impact-induced bonding and microstructures and microstructural evolution in cold sprayed materials Process fundamentals, dynamic microstructure evolution, and potential industrial applications of additive friction stir deposition Microstructural and mechanical characterization and industrial applications of ultrasonic additive manufacturing Principles of solid-state sintering, binder jetting-based metal printing, and sintering-based metal additive manufacturing methods for magnetic materials Critical issues inherent to melting and solidification, such as porosity, high residual stress, cast microstructure, anisotropic mechanical properties, and hot cracking Solid-State Metal Additive Manufacturing is an essential reference on the subject for academic researchers in materials science, mechanical, and biomedicine, as well as professional engineers in various manufacturing industries, especially those involved in building new additive technologies.
Author: Li Yang
Publisher: Springer
ISBN: 3319551280
Category : Technology & Engineering
Languages : en
Pages : 172
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Book Description
This book offers a unique guide to the three-dimensional (3D) printing of metals. It covers various aspects of additive, subtractive, and joining processes used to form three-dimensional parts with applications ranging from prototyping to production. Examining a variety of manufacturing technologies and their ability to produce both prototypes and functional production-quality parts, the individual chapters address metal components and discuss some of the important research challenges associated with the use of these technologies. As well as exploring the latest technologies currently under development, the book features unique sections on electron beam melting technology, material lifting, and the importance this science has in the engineering context. Presenting unique real-life case studies from industry, this book is also the first to offer the perspective of engineers who work in the field of aerospace and transportation systems, and who design components and manufacturing networks. Written by the leading experts in this field at universities and in industry, it provides a comprehensive textbook for students and an invaluable guide for practitioners
Author: Atila Ertas
Publisher:
ISBN: 9783036539041
Category :
Languages : en
Pages : 0
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Book Description
This Special Issue book covers a wide scope in the research field of 3D-printing, including: the use of 3D printing in system design; AM with binding jetting; powder manufacturing technologies in 3D printing; fatigue performance of additively manufactured metals, such as the Ti-6Al-4V alloy; 3D-printing methods with metallic powder and a laser-based 3D printer; 3D-printed custom-made implants; laser-directed energy deposition (LDED) process of TiC-TMC coatings; Wire Arc Additive Manufacturing; cranial implant fabrication without supports in electron beam melting (EBM) additive manufacturing; the influence of material properties and characteristics in laser powder bed fusion; Design For Additive Manufacturing (DFAM); porosity evaluation of additively manufactured parts; fabrication of coatings by laser additive manufacturing; laser powder bed fusion additive manufacturing; plasma metal deposition (PMD); as-metal-arc (GMA) additive manufacturing process; and spreading process maps for powder-bed additive manufacturing derived from physics model-based machine learning.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494230
Category : Technology & Engineering
Languages : en
Pages : 79
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Book Description
Additive manufacturing (AM) is the process in which a three-dimensional object is built by adding subsequent layers of materials. AM enables novel material compositions and shapes, often without the need for specialized tooling. This technology has the potential to revolutionize how mechanical parts are created, tested, and certified. However, successful real-time AM design requires the integration of complex systems and often necessitates expertise across domains. Simulation-based design approaches, such as those applied in engineering product design and material design, have the potential to improve AM predictive modeling capabilities, particularly when combined with existing knowledge of the underlying mechanics. These predictive models have the potential to reduce the cost of and time for concept-to-final-product development and can be used to supplement experimental tests. The National Academies convened a workshop on October 24-26, 2018 to discuss the frontiers of mechanistic data-driven modeling for AM of metals. Topics of discussion included measuring and modeling process monitoring and control, developing models to represent microstructure evolution, alloy design, and part suitability, modeling phases of process and machine design, and accelerating product and process qualification and certification. These topics then led to the assessment of short-, immediate-, and long-term challenges in AM. This publication summarizes the presentations and discussions from the workshop.
Author: Bartlomiej Wysocki
Publisher: Mdpi AG
ISBN: 9783036598864
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
Metal additive manufacturing (AM) has gained significant attention due to its ability to produce functional, net-shape parts using laser, electron beam, or binder jetting methods in various industrial sectors. Recent advancements in AM have opened up new opportunities for design freedom and the fabrication of complex geometries such as cellular solids, metamaterials, or biomimetic materials that are not easily achievable using conventional methods. Today, these objects can be created using computer-aided design (CAD) models and elemental or alloyed metallic powders. This Special Issue of Materials, titled "Design and Post Processing for Metal Additive Manufacturing", sought submissions on the design of elements with predicted microstructure and mechanical properties, the use of artificial intelligence/machine learning (AI/ML) in AM, numerical algorithms for AM, and μ-CT magining for quality control. While AM's powder bed manufacturing provides the possibility of fabricating objects of any shape in one production step, it does come with some disadvantages. A major drawback is the need to generate support for the fabricated parts to dissipate the heat generated during the 3D printing process and minimize the geometrical distortions caused by internal stresses from metallic powders. This Special Issue also covers computer simulations and improved fabrication protocols that can help reduce these issues.
