Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing

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Publisher : Springer Nature
ISBN 13 : 3658402377
Total Pages : 289 pages
Book Rating : 4.6/5 (584 download)

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Book Synopsis Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing by : Mustafa Mamduh Mustafa Awd

Download or read book Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing written by Mustafa Mamduh Mustafa Awd and published by Springer Nature. This book was released on 2023-01-01 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fatigue failure of structures used in transportation, industry, medical equipment, and electronic components needs to build a link between cutting-edge experimental characterization and probabilistically grounded numerical and artificially intelligent tools. The physics involved in this process chain is computationally prohibitive to comprehend using traditional computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was developed. Fatigue, which is a random variable, is studied in a Bayesian-based machine learning algorithm. The stress-life model was used based on the compatibility condition of life and load distributions. The defect-correlated assessment of fatigue strength was established using the proposed machine learning and Bayesian statistics algorithms. It enabled the mapping of structural and process-induced fatigue characteristics into a geometry-independent load density chart across a wide range of fatigue regimes.

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

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Publisher : Springer Nature
ISBN 13 : 3031504747
Total Pages : 101 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 by : Sharlotte L. B. Kramer

Download or read book Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 written by Sharlotte L. B. Kramer and published by Springer Nature. This book was released on with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning for Powder-Based Metal Additive Manufacturing

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Publisher : Elsevier
ISBN 13 : 0443221464
Total Pages : 0 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 2024-11-01 with total page 0 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

Machine Learning Applied to Composite Materials

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Publisher : Springer Nature
ISBN 13 : 9811962782
Total Pages : 202 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Machine Learning Applied to Composite Materials by : Vinod Kushvaha

Download or read book Machine Learning Applied to Composite Materials written by Vinod Kushvaha and published by Springer Nature. This book was released on 2022-11-29 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of material composite modelling and design.

Topology Optimization for Additive Manufacturing Involving High-Cycle Fatigue

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Publisher : Linköping University Electronic Press
ISBN 13 : 9179298508
Total Pages : 41 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Topology Optimization for Additive Manufacturing Involving High-Cycle Fatigue by : Shyam Suresh

Download or read book Topology Optimization for Additive Manufacturing Involving High-Cycle Fatigue written by Shyam Suresh and published by Linköping University Electronic Press. This book was released on 2020-05-05 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive Manufacturing (AM) is gaining popularity in aerospace and automotive industries. This is a versatile manufacturing process, where highly complex structures are fabricated and together with topology optimization, a powerful design tool, it shares the property of providing a very large freedom in geometrical form. The main focus of this work is to introduce new developments of Topology Optimization (TO) for metal AM. The thesis consists of two parts. The first part introduces background and theory, where TO and adjoint sensitivity analysis are described. Furthermore, methodology used to identify surface layer and high-cycle fatigue are introduced. In the second part, three papers are appended, where the first paper presents the treatment of surface layer effects, while the second and third papers provide high-cycle fatigue constraint formulations. In Paper I, a TO method is introduced to account for surface layer effects, where different material properties are assigned to bulk and surface regions. In metal AM, the fabricated components in as-built surface conditions significantly affect mechanical properties, particularly fatigue properties. Furthermore, the components are generally in-homogeneous and have different microstructures in bulk regions compared to surface regions. We implement two density filters to account for surface effects, where the width of the surface layer is controlled by the second filter radius. 2-D and 3-D numerical examples are treated, where the structural stiffness is maximized for a limited mass. For Papers II and III, a high-cycle fatigue constraint is implemented in TO. A continuous-time approach is used to predict fatigue-damage. The model uses a moving endurance surface and the development of damage occurs only if the stress state lies outside the endurance surface. The model is applicable not only for isotropic materials (Paper II) but also for transversely isotropic material properties (Paper III). It is capable of handling arbitrary load histories, including non-proportional loads. The anisotropic model is applicable for additive manufacturing processes, where transverse isotropic properties are manifested not only in constitutive elastic response but also in fatigue properties. Two optimization problems are solved: In the first problem the structural mass is minimized subject to a fatigue constraint while the second problem deals with stiffness maximization subjected to a fatigue constraint and mass constraint. Several numerical examples are tested with arbitrary load histories.

Fatigue in Additive Manufactured Metals

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Publisher : Elsevier
ISBN 13 : 0323998313
Total Pages : 321 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Fatigue in Additive Manufactured Metals by : Filippo Berto

Download or read book Fatigue in Additive Manufactured Metals written by Filippo Berto and published by Elsevier. This book was released on 2023-10-01 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fatigue in Additive Manufactured Metals provides a brief overview of the fundamental mechanics involved in metal fatigue and fracture, assesses the unique properties of additive manufactured metals, and provides an in-depth exploration of how and why fatigue occurs in additive manufactured metals. Additional sections cover solutions for preventing it, best-practice design methods, and more. The book recommends cutting-edge evidence-based approaches for designing longer lasting additive manufactured metals, discusses the latest trends in the field and the various aspects of low cycle fatigue, and looks at both post-treatment and manufacturing process-based solutions. By providing international standards and testing procedures of additive manufactured metal parts and discussing the environmental impacts of additive manufacturing of metals and outlining simulation and modeling scenarios, this book is an ideal resource for users in industry. Discusses the underlying mechanisms controlling the fatigue behavior of additive manufactured metal components as well as how to improve the fatigue life of these components via both manufacturing processes and post-processing Studies the variability of properties in additive manufactured metals, the effects of different process conditions on mechanical reliability, probabilistic versus deterministic aspects, and more Outlines nondestructive failure analysis techniques and highlights the effects of unique microstructural characteristics on fatigue in additive manufactured metals

Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures

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Publisher : Elsevier
ISBN 13 : 0443154260
Total Pages : 481 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures by : Jie Yang

Download or read book Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures written by Jie Yang and published by Elsevier. This book was released on 2023-10-16 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functionally Graded Porous Structures: Applied Methods in Mechanical Performance Evaluation, Machine Learning Aided Analysis, and Additive Manufacturing presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. The book is divided into three key sections. The first section begins with an introduction to functionally graded porous structures and details the effects of graded porosities on bending, buckling, and vibration behaviours within the framework of Timoshenko beam theory, and first-order shear deformable plate theory. The second section is focused on the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering, methods. The third section focuses on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering. Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors Updated with the most recent advances in the field of porous structures Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing Covers weight management strategies for structural components to achieve multifunctional purposes Addresses key issues in the design of lightweight structures, offering significant environmental benefits

Predictive Theoretical and Computational Approaches for Additive Manufacturing

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Publisher : National Academies Press
ISBN 13 : 0309449782
Total Pages : 149 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Predictive Theoretical and Computational Approaches for Additive Manufacturing by : National Academies of Sciences, Engineering, and Medicine

Download or read book Predictive Theoretical and Computational Approaches for Additive Manufacturing written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-11-21 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas. This publication summarizes the presentations and discussions from the workshop.

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.

Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6

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Publisher : Springer Nature
ISBN 13 : 3031174755
Total Pages : 96 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6 by : Rachael C Tighe

Download or read book Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6 written by Rachael C Tighe and published by Springer Nature. This book was released on 2023-01-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6 of the Proceedings of the 2022 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the sixth volume of six from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Test Design and Inverse Method Algorithms Inverse Problems: Virtual Fields Method Material Characterizations Using Thermography Fatigue, Damage & Fracture Evaluation Using Infrared Thermography Residual Stress Mechanics of Additive & Advanced Manufactured Materials

Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications

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Publisher : Springer
ISBN 13 : 3319894803
Total Pages : 1118 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications by : Eric Ott

Download or read book Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications written by Eric Ott and published by Springer. This book was released on 2018-05-12 with total page 1118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This technical meeting will focus on Alloy 718 and Superalloys in this class relative to alloy and process development, production, product applications, trends and the development of advanced modeling tools. The symposium provides an opportunity for authors to present technical advancements relative to a broad spectrum of areas while assessing their impact on related fields associated with this critical alloy group. There are continuing innovations relative to these alloys as well as novel processing techniques which continue to extend applications in very challenging environments ranging from corrosion resistance in the deep sea to high-stressed space applications.

Engineering of Additive Manufacturing Features for Data-Driven Solutions

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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.

Additive Manufacturing of Metals

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Publisher : Springer
ISBN 13 : 3319582054
Total Pages : 343 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Additive Manufacturing of Metals by : John O. Milewski

Download or read book Additive Manufacturing of Metals written by John O. Milewski and published by Springer. This book was released on 2017-06-28 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging volume presents the exciting new technology of additive manufacturing (AM) of metal objects for a broad audience of academic and industry researchers, manufacturing professionals, undergraduate and graduate students, hobbyists, and artists. Innovative applications ranging from rocket nozzles to custom jewelry to medical implants illustrate a new world of freedom in design and fabrication, creating objects otherwise not possible by conventional means. The author describes the various methods and advanced metals used to create high value components, enabling readers to choose which process is best for them. Of particular interest is how harnessing the power of lasers, electron beams, and electric arcs, as directed by advanced computer models, robots, and 3D printing systems, can create otherwise unattainable objects. A timeline depicting the evolution of metalworking, accelerated by the computer and information age, ties AM metal technology to the rapid evolution of global technology trends. Charts, diagrams, and illustrations complement the text to describe the diverse set of technologies brought together in the AM processing of metal. Extensive listing of terms, definitions, and acronyms provides the reader with a quick reference guide to the language of AM metal processing. The book directs the reader to a wealth of internet sites providing further reading and resources, such as vendors and service providers, to jump start those interested in taking the first steps to establishing AM metal capability on whatever scale. The appendix provides hands-on example exercises for those ready to engage in experiential self-directed learning.

Data-Driven Modeling for Additive Manufacturing of Metals

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Publisher : National Academies Press
ISBN 13 : 0309494230
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 2019-10-09 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.

Thermo-Mechanical Modeling of Additive Manufacturing

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Author :
Publisher : Butterworth-Heinemann
ISBN 13 : 0128118210
Total Pages : 294 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Thermo-Mechanical Modeling of Additive Manufacturing by : Michael Gouge

Download or read book Thermo-Mechanical Modeling of Additive Manufacturing written by Michael Gouge and published by Butterworth-Heinemann. This book was released on 2017-08-03 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermo-mechanical Modeling of Additive Manufacturing provides the background, methodology and description of modeling techniques to enable the reader to perform their own accurate and reliable simulations of any additive process. Part I provides an in depth introduction to the fundamentals of additive manufacturing modeling, a description of adaptive mesh strategies, a thorough description of thermal losses and a discussion of residual stress and distortion. Part II applies the engineering fundamentals to direct energy deposition processes including laser cladding, LENS builds, large electron beam parts and an exploration of residual stress and deformation mitigation strategies. Part III concerns the thermo-mechanical modeling of powder bed processes with a description of the heat input model, classical thermo-mechanical modeling, and part scale modeling. The book serves as an essential reference for engineers and technicians in both industry and academia, performing both research and full-scale production. Additive manufacturing processes are revolutionizing production throughout industry. These technologies enable the cost-effective manufacture of small lot parts, rapid repair of damaged components and construction of previously impossible-to-produce geometries. However, the large thermal gradients inherent in these processes incur large residual stresses and mechanical distortion, which can push the finished component out of engineering tolerance. Costly trial-and-error methods are commonly used for failure mitigation. Finite element modeling provides a compelling alternative, allowing for the prediction of residual stresses and distortion, and thus a tool to investigate methods of failure mitigation prior to building. Provides understanding of important components in the finite element modeling of additive manufacturing processes necessary to obtain accurate results Offers a deeper understanding of how the thermal gradients inherent in additive manufacturing induce distortion and residual stresses, and how to mitigate these undesirable phenomena Includes a set of strategies for the modeler to improve computational efficiency when simulating various additive manufacturing processes Serves as an essential reference for engineers and technicians in both industry and academia

Additive Manufacturing

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Author :
Publisher : CRC Press
ISBN 13 : 1498766706
Total Pages : 559 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Additive Manufacturing by : Amit Bandyopadhyay

Download or read book Additive Manufacturing written by Amit Bandyopadhyay and published by CRC Press. This book was released on 2015-09-08 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of additive manufacturing has seen explosive growth in recent years due largely in part to renewed interest from the manufacturing sector. Conceptually, additive manufacturing, or industrial 3D printing, is a way to build parts without using any part-specific tooling or dies from the computer-aided design (CAD) file of the part. Today, mo

The Science of Metals

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Publisher :
ISBN 13 :
Total Pages : 492 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Science of Metals by : Zay Jeffries

Download or read book The Science of Metals written by Zay Jeffries and published by . This book was released on 1924 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: