Reprint

Design and Post Processing for Metal Additive Manufacturing

Edited by
January 2024
276 pages
  • ISBN978-3-0365-9886-4 (Hardback)
  • ISBN978-3-0365-9885-7 (PDF)

This is a Reprint of the Special Issue Design and Post Processing for Metal Additive Manufacturing that was published in

Chemistry & Materials Science
Engineering
Physical Sciences
Summary

Metal additive manufacturing (AM) has gained significant attention due to its ability to produce functional, net-shape parts using laser, electron beam, or binder jetting methods in various industrial sectors. Recent advancements in AM have opened up new opportunities for design freedom and the fabrication of complex geometries such as cellular solids, metamaterials, or biomimetic materials that are not easily achievable using conventional methods. Today, these objects can be created using computer-aided design (CAD) models and elemental or alloyed metallic powders.This Special Issue of Materials, titled "Design and Post Processing for Metal Additive Manufacturing", sought submissions on the design of elements with predicted microstructure and mechanical properties, the use of artificial intelligence/machine learning (AI/ML) in AM, numerical algorithms for AM, and µ-CT magining for quality control.While AM's powder bed manufacturing provides the possibility of fabricating objects of any shape in one production step, it does come with some disadvantages. A major drawback is the need to generate support for the fabricated parts to dissipate the heat generated during the 3D printing process and minimize the geometrical distortions caused by internal stresses from metallic powders. This Special Issue also covers computer simulations and improved fabrication protocols that can help reduce these issues.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
hybrid additive manufacturing; high-speed milling; selective laser melting; construction rules; additive manufacturing; powder bed fusion (PBF); CP titanium; anodic oxidation; TiO2 nanotubes; Ag nanoparticles; SERS platforms; plasmonic substrates; elemental powders; heat treatment; in situ alloying; laser powder bed fusion; nickel-titanium; pre-mixed powders; IN 625; AM; PBF-LB; density; balling; process parameters; additive manufacturing (AM); 3D printing; microsatellites; lightweight mirror; metal mirror; laser powder bed fusion; 316L steel; porous structure; triply periodic minimal surface; deformation behavior; energy absorption; surface morphology; self-growing; process-quality model; machine learning; tensile strength; 316L stainless-steel; LPBF; additive manufacturing; rough surfaces; partial machining; WAAM 18Ni 250 Maraging steel; durability; crack growth; additive manufacturing; shot peening; PVD multi-layer coating; mechanical testing; corrosion; residual compressive stresses; WAAM; Al-Li alloys; wire production; DED (directed energy deposition); surface engineering; selective laser melting; tribocorrosion; corrosion; Ti6Al4V; additive manufacturing; machining; cutting force; surface integrity; tool wear; porosity; anisotropy; post-processing processes; hybrid manufacturing; PBF-LB; Inconel 718; creep; HIP; post-processing; hot isostatic pressing; wire feed electron beam additive manufacturing; electron beam freeform fabrication; aluminum alloys; nickel superalloys; multiphase materials; in situ composites