Report Of The Workshop Predictive Theoretical Computational And Experimental Approaches For Additive Manufacturing Wam 2016
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Report Of The Workshop Predictive Theoretical Computational And Experimental Approaches For Additive Manufacturing Wam 2016
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Author : Xu Guo
language : en
Publisher: Springer
Release Date : 2017-10-23
Report Of The Workshop Predictive Theoretical Computational And Experimental Approaches For Additive Manufacturing Wam 2016 written by Xu Guo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-23 with Technology & Engineering categories.
The volume focuses on theoretical and computational approaches and involves areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, material science, manufacturing processes, and other specialized areas. Most importantly, the state-of-the-art progress in developing predictive theoretical, computational and experimental approaches for additive manufacturing is summarized.
Additive Manufacturing For Biocomposites And Synthetic Composites
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Author : M. T. Mastura
language : en
Publisher: CRC Press
Release Date : 2023-12-27
Additive Manufacturing For Biocomposites And Synthetic Composites written by M. T. Mastura and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-27 with Technology & Engineering categories.
Additive Manufacturing for Biocomposites and Synthetic Composites focuses on processes, engineering, and product design applications of bio-composites and synthetic composites in additive manufacturing (AM). It discusses the preparation and material characterization and selection, as well as future opportunities and challenges. Reviews the latest research on the development of composites for AM and the preparation of composite feedstocks Offers an analytical and statistical approach for the selection of composites for AM, including characterization of material properties Emphasizes the use of environmentally friendly composites Analyzes the lifecycle including costs Considers potential new fibers, their selection, and future applications This book provides a comprehensive overview of the application of advanced composite materials in AM and is aimed at researchers, engineers, and advanced students in materials and manufacturing engineering and related disciplines.
Innovation And Sustainable Manufacturing
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Author : Carolina Machado
language : en
Publisher: Elsevier
Release Date : 2022-09-29
Innovation And Sustainable Manufacturing written by Carolina Machado and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-29 with Technology & Engineering categories.
Innovation and Sustainable Manufacturing: Research and Development addresses the manufacturing sustainability challenge from different points of view, drawing on research from different disciplines to shed light on the latest green technologies, green product design methods, and materials. Addressing the needs of practitioners as well as academics, this book examines a range of important themes such as environmental impacts and how to assess them, how to set boundary conditions to include or exclude downstream supply chains, how to improve sustainability without sacrificing productivity, the cost benefits of sustainability, and how to trace impacts in manufacturing. By providing a thorough review of global research in this field, Innovation and Sustainable Manufacturing acts as an ideal entry point into this discipline for researchers, and a guide to the latest developments for forward-thinking practitioners. - Covers how different stages of the manufacturing supply chain can impact on sustainability - Combines research from a variety of disciplines to provide a comprehensive coverage of this complex subject - Explores the relationship between sustainability and other goals such as productivity, quality, and profitability
Predictive Theoretical And Computational Approaches For Additive Manufacturing
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2016-12-21
Predictive Theoretical And Computational Approaches For Additive Manufacturing written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-21 with Technology & Engineering categories.
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.
Data Driven Modeling For Additive Manufacturing Of Metals
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2019-10-09
Data Driven Modeling For Additive Manufacturing Of Metals written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-09 with Technology & Engineering categories.
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.
Multiscale Modeling Of Additively Manufactured Metals
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Author : Yi Zhang
language : en
Publisher: Elsevier
Release Date : 2020-06-29
Multiscale Modeling Of Additively Manufactured Metals written by Yi Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Technology & Engineering categories.
Multiscale Modeling of Additively Manufactured Metals: Application to Laser Powder Bed Fusion Process provides comprehensive coverage on the latest methodology in additive manufacturing (AM) modeling and simulation. Although there are extensive advances within the AM field, challenges to predictive theoretical and computational approaches still hinder the widespread adoption of AM. The book reviews metal additive materials and processes and discusses multiscale/multiphysics modeling strategies. In addition, coverage of modeling and simulation of AM process in order to understand the process-structure-property relationship is reviewed, along with the modeling of morphology evolution, phase transformation, and defect formation in AM parts. Residual stress, distortion, plasticity/damage in AM parts are also considered, with scales associated with the spatial, temporal and/or material domains reviewed. This book is useful for graduate students, engineers and professionals working on AM materials, equipment, process, development and modeling. - Includes the fundamental principles of additive manufacturing modeling techniques - Presents various modeling tools/software for AM modeling - Discusses various design methods and how to optimize the AM process using these models
Simulation Of Additive Manufacturing Using Meshfree Methods
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Author : Christian Weißenfels
language : en
Publisher: Springer Nature
Release Date : 2021-10-29
Simulation Of Additive Manufacturing Using Meshfree Methods written by Christian Weißenfels and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Technology & Engineering categories.
This book provides a detailed instruction to virtually reproduce the processes of Additive Manufacturing on a computer. First, all mathematical equations needed to model these processes are presented. Due to their flexibility, meshfree methods represent optimal computational solution schemes to simulate Additive Manufacturing processes. On the other hand, these methods usually do not guarantee an accurate solution. For this reason, this monograph is dedicated in detail to the necessary criteria for computational solution schemes to provide accurate results. Several meshfree methods are examined with respect to these conditions. Two different 3D printing techniques are presented in detail. The results obtained from the simulation are investigated and compared with experimental data. This work is addressed to both scientists and professionals working in the field of development who are interested to learn the secrets behind meshfree methods or get into the modeling of Additive Manufacturing.
Thermal History Prediction Using Far Field Temperature Measurements During Additive Manufacturing
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Author : Rajesh Rangarajan
language : en
Publisher:
Release Date : 2017
Thermal History Prediction Using Far Field Temperature Measurements During Additive Manufacturing written by Rajesh Rangarajan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
With recent advancements in Additive Manufacturing, the need for computational models to gain theoretical understanding prior to experimentation is growing. In this work, a simulation of Directed Energy Deposition (DED) using Finite Volume Methods is developed to study the thermal behavior, especially the thermal history during the deposition process. DED is an Additive Manufacturing process that uses high-power lasers for material melting and can deliver near net shape of the desired component. The thermal histories of the process can help understand the microstructure, residual stress, and material properties of the obtained component. The experimental setup monitors the temperature using far-field temperature measurement devices, thus limiting temperature observation to a particular point as opposed to computational models, wherein the degree of freedom to monitor the temperatures is larger. 2D and 3D models were both developed, with the former being the stepping stone. The proposed simulation considers experimental processing conditions such as a moving heat source and relevant boundary conditions to generate plots of thermal histories. The results were based on the implementation of user-defined functions (UDF) in C to numerically simulate a moving heat source, which encompasses the properties of the laser. The results of the model were validated against experimental data. The validated model was then used for multiple depositions and the outcome is discussed based on the agreement and disparities in peak temperatures, heating, and cooling rates. Furthermore, the possibility to perform inverse predictions for the surface using measurements from a far-field point is discussed.