Engineering of Additive Manufacturing Features for Data-Driven Solutions

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Publisher :
ISBN 13 : 9783031321559
Total Pages : 0 pages
Book Rating : 4.3/5 (215 download)

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Book Synopsis Engineering of Additive Manufacturing Features for Data-Driven Solutions by : Mutahar Safdar

Download or read book Engineering of Additive Manufacturing Features for Data-Driven Solutions written by Mutahar Safdar and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, including AI/ML/DL readiness of AM data. Whether you're an expert or newcomer to the field, this book provides a broader summary of the status and future of data-driven AM technology.

Engineering of Additive Manufacturing Features for Data-Driven Solutions

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Author :
Publisher : Springer Nature
ISBN 13 : 3031321545
Total Pages : 151 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Engineering of Additive Manufacturing Features for Data-Driven Solutions by : Mutahar Safdar

Download or read book Engineering of Additive Manufacturing Features for Data-Driven Solutions written by Mutahar Safdar and published by Springer Nature. This book was released on 2023-06-01 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, including AI/ML/DL readiness of AM data. Whether you're an expert or newcomer to the field, this book provides a broader summary of the status and future of data-driven AM technology.

Data-Driven Modeling for Additive Manufacturing of Metals

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Publisher : National Academies Press
ISBN 13 : 0309494206
Total Pages : 79 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Data-Driven Modeling for Additive Manufacturing of Metals by : National Academies of Sciences, Engineering, and Medicine

Download or read book Data-Driven Modeling for Additive Manufacturing of Metals written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-11-09 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data-driven Modeling for Additive Manufacturing of Metals

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Publisher :
ISBN 13 : 9780309494212
Total Pages : 66 pages
Book Rating : 4.4/5 (942 download)

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Book Synopsis Data-driven Modeling for Additive Manufacturing of Metals by :

Download or read book Data-driven Modeling for Additive Manufacturing of Metals written by and published by . This book was released on 2019 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--Publisher's description

Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis

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Publisher : Springer Nature
ISBN 13 : 3030379620
Total Pages : 240 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis by : Sujit Rokka Chhetri

Download or read book Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis written by Sujit Rokka Chhetri and published by Springer Nature. This book was released on 2020-02-08 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.

Data-driven Strategies for Control in Additive Manufacturing

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Data-driven Strategies for Control in Additive Manufacturing by : Uduak Inyang-Udoh

Download or read book Data-driven Strategies for Control in Additive Manufacturing written by Uduak Inyang-Udoh and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Industrial Internet of Things

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Publisher : Springer
ISBN 13 : 3319425595
Total Pages : 714 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Industrial Internet of Things by : Sabina Jeschke

Download or read book Industrial Internet of Things written by Sabina Jeschke and published by Springer. This book was released on 2016-10-12 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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Publisher : Springer Nature
ISBN 13 : 3030859142
Total Pages : 662 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by : Alexandre Dolgui

Download or read book Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems written by Alexandre Dolgui and published by Springer Nature. This book was released on 2021-09-01 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Machine Learning for Powder-Based Metal Additive Manufacturing

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Author :
Publisher : Elsevier
ISBN 13 : 0443221464
Total Pages : 291 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Machine Learning for Powder-Based Metal Additive Manufacturing by : Gurminder Singh

Download or read book Machine Learning for Powder-Based Metal Additive Manufacturing written by Gurminder Singh and published by Elsevier. This book was released on 2024-09-04 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Additive Manufacturing for Advance Applications

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Publisher : CRC Press
ISBN 13 : 104003568X
Total Pages : 261 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Additive Manufacturing for Advance Applications by : Pawan Sharma

Download or read book Additive Manufacturing for Advance Applications written by Pawan Sharma and published by CRC Press. This book was released on 2024-06-26 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the latest trends such as 4D printing, wire arc additive manufacturing (WAAM), direct energy deposition, and topological optimization in additive manufacturing (AM), and its compliance with the ASTM/ISO standards. It further explains materials for additive manufacturing and the development of novel future materials. The focus of this book is to cover the fundamentals, principles, selection of material and equipment, and applications of additive manufacturing (AM) in a comprehensive manner. It will showcase information about the effective utilization of additive manufacturing for advanced applications in diverse areas such as biomedical, aerospace, automobile, defence, and reverse engineering. The other main features are- · Covers comprehensive discussion on the theoretical aspects of additive manufacturing such as sintering, diffusion, and photopolymerization. · Showcases applications of additive manufacturing in diverse fields including aerospace engineering, automotive engineering, biomedical engineering, and reverse engineering. · Presents case studies to showcase real-time problems and solutions using additive manufacturing. · Includes pedagogical features such as algorithms, exercises, and case studies. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, production engineering, mechanical engineering, and aerospace engineering.

14th International Symposium on Process Systems Engineering

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Publisher : Elsevier
ISBN 13 : 0323853668
Total Pages : 2304 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis 14th International Symposium on Process Systems Engineering by : Yoshiyuki Yamashita

Download or read book 14th International Symposium on Process Systems Engineering written by Yoshiyuki Yamashita and published by Elsevier. This book was released on 2022-06-24 with total page 2304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 14th International Symposium on Process Systems Engineering, Volume 49 brings together the international community of researchers and engineers interested in computing-based methods in process engineering. The conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 2021 event held in Tokyo, Japan, July 1-23, 2021. It contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and covering future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. Highlights how the Process Systems Engineering community contributes to the sustainability of modern society Establishes the core products of Process Systems Engineering Defines the future challenges of Process Systems Engineering

Additive Manufacturing Applications for Metals and Composites

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Publisher : IGI Global
ISBN 13 : 1799840557
Total Pages : 348 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Additive Manufacturing Applications for Metals and Composites by : Balasubramanian, K.R.

Download or read book Additive Manufacturing Applications for Metals and Composites written by Balasubramanian, K.R. and published by IGI Global. This book was released on 2020-06-19 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive manufacturing (AM) of metals and composites using laser energy, direct energy deposition, electron beam methods, and wire arc melting have recently gained importance due to their advantages in fabricating the complex structure. Today, it has become possible to reliably manufacture dense parts with certain AM processes for many materials, including steels, aluminum and titanium alloys, superalloys, metal-based composites, and ceramic matrix composites. In the near future, the AM material variety will most likely grow further, with high-performance materials such as intermetallic compounds and high entropy alloys already under investigation. Additive Manufacturing Applications for Metals and Composites is a pivotal reference source that provides vital research on advancing methods and technological developments within additive manufacturing practices. Special attention is paid to the material design of additive manufacturing of parts, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the manufacturing process, and the resulted microstructures and properties, as well as the relationship between these factors. While highlighting topics such as numerical modeling, intermetallic compounds, and statistical techniques, this publication is ideally designed for students, engineers, researchers, manufacturers, technologists, academicians, practitioners, scholars, and educators.

Additive Manufacturing

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Publisher : CRC Press
ISBN 13 : 1351049364
Total Pages : 338 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Additive Manufacturing by : Manu Srivastava

Download or read book Additive Manufacturing written by Manu Srivastava and published by CRC Press. This book was released on 2019-09-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing need for manufacturing optimization all over the world. The immense market of Additive Manufacturing (AM) technologies dictates a need for a book that will provide knowledge of the various aspects of AM for anyone interested in learning about this fast-growing topic. This book disseminates knowledge of AM amongst scholars at graduate level, post graduate level, doctoral level, as well as industry personnel. The objective is to offer a state-of-the-art book which covers all aspects of AM and incorporates all information regarding trends, historical developments, classifications, materials, tooling, software issues, dynamic design, principles, limitations, and communication interfaces in a one-stop resource. Features: Breaks down systematic coverage of various aspects of AM within four distinct sections Contains details of various AM techniques based on ASTM guidelines Discusses many AM applications with suitable illustrations Includes recent trends in the field of AM Covers engineering materials utilized as raw materials in AM Compares AM techniques with different traditional manufacturing methods

Additive Manufacturing Technologies

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Publisher : Springer Nature
ISBN 13 : 3030561275
Total Pages : 685 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Additive Manufacturing Technologies by : Ian Gibson

Download or read book Additive Manufacturing Technologies written by Ian Gibson and published by Springer Nature. This book was released on 2020-11-10 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers in detail digitally-driven methods for adding materials together to form parts. A conceptual overview of additive manufacturing is given, beginning with the fundamentals so that readers can get up to speed quickly. Well-established and emerging applications such as rapid prototyping, micro-scale manufacturing, medical applications, aerospace manufacturing, rapid tooling and direct digital manufacturing are also discussed. This book provides a comprehensive overview of additive manufacturing technologies as well as relevant supporting technologies such as software systems, vacuum casting, investment casting, plating, infiltration and other systems. Reflects recent developments and trends and adheres to the ASTM, SI and other standards; Includes chapters on topics that span the entire AM value chain, including process selection, software, post-processing, industrial drivers for AM, and more; Provides a broad range of technical questions to ensure comprehensive understanding of the concepts covered.

Advances in Additive Manufacturing

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Publisher : Elsevier
ISBN 13 : 0323918352
Total Pages : 522 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Advances in Additive Manufacturing by : Ajay Kumar

Download or read book Advances in Additive Manufacturing written by Ajay Kumar and published by Elsevier. This book was released on 2022-11-24 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book is a compilation of scholarly articles on the latest developments in the field of additive manufacturing, discussing nature-inspired and artificial intelligence–aided additive manufactured processes for different materials including biomanufacturing, and their applications, as well as various methods to enhance the characteristics of the materials produced, the efficiency of the manufacturing process itself, as well as optimal ways to develop a product in minimum time. The book explores the advancements in additive manufacturing from prefabrication stage to final product, with real-time defect detection, control, and process efficiency improvement covered. This book will be a great resource for engineers, researchers, and academics involved in this revolutionary and unique field of manufacturing. Discusses modeling of additive manufacturing processes by artificial intelligence Looks at the optimization of designs, technologies, and material fabrication and the use of simulation in additive manufacturing Includes case studies and real-world industrial problems and solutions

Applications of Artificial Intelligence in Additive Manufacturing

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Publisher : IGI Global
ISBN 13 : 1799885186
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Artificial Intelligence in Additive Manufacturing by : Salunkhe, Sachin

Download or read book Applications of Artificial Intelligence in Additive Manufacturing written by Salunkhe, Sachin and published by IGI Global. This book was released on 2021-12-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.

ICAF 2019 – Structural Integrity in the Age of Additive Manufacturing

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Author :
Publisher : Springer
ISBN 13 : 3030215032
Total Pages : 1164 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis ICAF 2019 – Structural Integrity in the Age of Additive Manufacturing by : Antoni Niepokolczycki

Download or read book ICAF 2019 – Structural Integrity in the Age of Additive Manufacturing written by Antoni Niepokolczycki and published by Springer. This book was released on 2019-07-03 with total page 1164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the 36th conference and 30th Symposium of the International Committee on Aeronautical Fatigue and Structural integrity. Focusing on the main theme of “Structural Integrity in the Age of Additive Manufacturing”, the chapters cover different aspects concerning research, developments and challenges in this field, offering a timely reference guide to designers, regulators, manufacturer, and both researchers and professionals of the broad aerospace community.