Quality Analysis of Additively Manufactured Metals: Simulation Approaches, Processes, and Microstructure Properties provides readers with a firm understanding of the failure and fatigue processes of additively manufactured metals. With a focus on computational methods, the book analyzes the process-microstructure-property relationship of these metals and how it affects their quality while also providing numerical, analytical, and experimental data for material design and investigation optimization. It outlines basic additive manufacturing processes for metals, strategies for modeling the microstructural features of metals and how these features differ based on the manufacturing process, and more.Improvement of additively manufactured metals through predictive simulation methods and microdamage and micro-failure in quasi-static and cyclic loading scenarios are covered, as are topology optimization methods and residual stress analysis techniques. The book concludes with a section featuring case studies looking at additively manufactured metals in automotive, biomedical and aerospace settings. - Provides insights and outlines techniques for analyzing why additively manufactured metals fail and strategies for avoiding those failures - Defines key terms and concepts related to the failure analysis, quality assurance and optimization processes of additively manufactured metals - Includes simulation results, experimental data and case studies

Quality Analysis of Additively Manufactured Metals: Simulation Approaches, Processes, and Microstructure Properties provides readers with a firm understanding of the failure and fatigue processes of additively manufactured metals. With a focus on computational methods, the book analyzes the process-microstructure-property relationship of these metals and how it affects their quality while also providing numerical, analytical, and experimental data for material design and investigation optimization. It outlines basic additive manufacturing processes for metals, strategies for modeling the microstructural features of metals and how these features differ based on the manufacturing process, and more. Improvement of additively manufactured metals through predictive simulation methods and microdamage and micro-failure in quasi-static and cyclic loading scenarios are covered, as are topology optimization methods and residual stress analysis techniques. The book concludes with a section featuring case studies looking at additively manufactured metals in automotive, biomedical and aerospace settings. Provides insights and outlines techniques for analyzing why additively manufactured metals fail and strategies for avoiding those failures Defines key terms and concepts related to the failure analysis, quality assurance and optimization processes of additively manufactured metals Includes simulation results, experimental data and case studies

This book provides practicing engineers, researchers, and students with a working knowledge of the fatigue design process and models under multiaxial states of stress and strain. Readers are introduced to the important considerations of multiaxial fatigue that differentiate it from uniaxial fatigue.

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

Collaboration between those working in product development and production is essential for successful product realization. The Swedish Production Academy (SPA) was founded in 2006 with the aim of driving and developing production research and higher education in Sweden, and increasing national cooperation in research and education within the area of production. This book presents the proceedings of SPS2024, the 11th Swedish Production Symposium, held from 23 to 26 April 2024 in Trollhättan, Sweden. The conference provided a platform for SPA members, as well as for professionals from industry and academia interested in production research and education from around the world, to share insights and ideas. The title and overarching theme of SPS2024 was Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning, and the conference emphasized stakeholder value, the societal role of industry, worker wellbeing, and environmental sustainability, in alignment with the European Commission's vision for the future of manufacturing. The 59 papers included here were accepted for publication and presentation at the symposium after a thorough review process. They are divided into 6 sections reflecting the thematic areas of the conference, which were: sustainable manufacturing, smart production and automation, digitalization for efficient product realization, circular production, industrial transformation for sustainability, and the integration of education and research. Highlighting the latest developments and advances in automation and sustainable production, the book will be of interest to all those working in the field.

This dissertation thesis focuses on applying the powder bed fusion with laser beam (PBF-LB) technology on hot work steel. It aims at achieving comparable properties with the products from the traditional manufacturing route. Using the reference powder H13, the influence of various factors, i.e., laser settings (such as laser power and scan speed) and machine settings (such as preheating) on the melting pool morphology and printing defects, is intensively investigated to check the feasibility of printing H13 components through PBF-LB technology and finally optimize the fabrication parameters for high-quality printing in lab-scale size. Furthermore, the consecutive research on the impact of the post-treatment, machine sensitivity, and powder condition provides a basis for scaling up the process and offers industrially usable products with adequate properties. Furthermore, after assessing the defects during the investigation, the classification of the defects deepens the understanding of the material-laser interaction. The mechanism for stress-lead cracks can guide the development of new types of material applied to the PBF-LB process, especially carbon-bearing steel. Finally, based on the mechanism of defect generation, the principle of the real-time defect-based monitoring system is proposed. After recognizing defects and assembling discrete points, the digital twin is established from various monitoring signals, which can be applied for on-time quality assurance without destructive testing.