Atnaujinkite slapukų nuostatas

El. knyga: Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop

  • Formatas: 148 pages
  • Išleidimo metai: 21-Nov-2016
  • Leidėjas: National Academies Press
  • Kalba: eng
  • ISBN-13: 9780309449762
  • Formatas: 148 pages
  • Išleidimo metai: 21-Nov-2016
  • Leidėjas: National Academies Press
  • Kalba: eng
  • ISBN-13: 9780309449762

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

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.

Table of Contents



Front Matter 1 Introduction 2 Theoretical Understanding of Materials Science and Mechanics 3 Computational and Analytical Methods in Additive Manufacturing 4 Monitoring and Advanced Diagnostics to Enable Additive Manufacturing Fundamental Understanding 5 Additive Manufacturing Scalability, Implementation, Readiness, and Transition 6 Summary of Issues from Subgroup Discussions References Appendix A: Registered Workshop Participants Appendix B: Workshop Agenda
1 Introduction
1(4)
Workshop Overview
1(3)
Organization of This Report
4(1)
2 Theoretical Understanding Of Materials Science and Mechanics
5(28)
Toward Modeling and Simulations of Additive Manufacturing of Metals at Los Alamos National Laboratory
6(5)
Challenges in Additive Manufacturing of Soft Materials: Polymer-based Fused Deposition Modeling
11(4)
Modeling and Simulations of Additive Manufacturing
15(4)
Discussion
19(2)
Theoretical Understanding of Materials Science and Mechanics
21(3)
Part-Level Finite Element Simulation of Selective Laser Melting
24(3)
Main Physical Phenomena in Metal Powder-Bed Fusion
27(2)
Discussion
29(4)
3 Computational and Analytical Methods in Additive Manufacturing
33(26)
Computational and Analytical Needs in Additive Manufacturing
34(3)
High-Performance Computing and Additive Manufacturing: Overcoming the Barriers to Material Qualification
37(4)
Revolutions in Design and Manufacturing: Topology Optimization and Uncertainty Quantification in Additive Manufacturing
41(2)
Discussion
43(4)
Application of Integrated Computational Materials Engineering to the Design and Development of New High-Performance Materials for Additive Manufacturing
47(3)
Computational and Analytical Methods in Additive Manufacturing: Linking Process to Microstructure
50(3)
Additive Manufacturing Challenges for Computational Solid Mechanics
53(3)
Discussion
56(3)
4 Monitoring And Advanced Diagnostics To Enable Additive Manufacturing Fundamental Understanding
59(22)
Process Modeling and Diagnostic Considerations
60(2)
Barriers to Widespread Additive Manufacturing
62(3)
Directed Energy Deposition and Electrospinning
65(3)
Discussion
68(3)
Enhancing End-User Control
71(2)
Analysis of Highly Correlated Data Sets to Establish Processing-Structure-Property Relationships for Additively-Manufactured Metals
73(2)
In-Process Sensing of Laser Powder-Bed Fusion Additive Manufacturing
75(2)
Discussion
77(4)
5 Additive Manufacturing Scalability, Implementation, Readiness, And Transition
81(22)
Additive Manufacturing: Capabilities, Challenges, and the Future
82(4)
Software Architecture, Database Development, and Model Validation: Toward a Computational Benchmark in Additive Manufacturing
86(2)
A Different Perspective on Scalability and Public-Private Partnership
88(1)
Discussion
89(3)
Scalability, Implementation, Readiness, and Transition
92(3)
Testing, Accuracy, and Beyond
95(2)
Computational Simulation and Advanced Optimization: The Key Role of Public-Private Partnerships in Scalability
97(3)
Discussion
100(3)
6 Summary Of Issues From Subgroup Discussions
103(16)
Theoretical Understanding of Materials Science and Mechanics
103(8)
Computational and Analytical Methods in Additive Manufacturing
111(3)
Monitoring and Advanced Diagnostics to Enable AM Fundamental Understanding
114(5)
REFERENCES
119(10)
APPENDIXES
A Registered Workshop Participants
129(2)
B Workshop Agenda
131