Additive Manufacturing Applications for Metals and Composites

Additive Manufacturing Applications for Metals and Composites

K.R. Balasubramanian, V. Senthilkumar
Indexed In: SCOPUS
Release Date: June, 2020|Copyright: © 2020 |Pages: 348
DOI: 10.4018/978-1-7998-4054-1
ISBN13: 9781799840541|ISBN10: 1799840549|EISBN13: 9781799840558
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Description & Coverage
Description:

Additive manufacturing (AM) of metals and composites using laser energy, direct energy deposition, electron beam methods, and wire arc melting have recently gained importance due to their advantages in fabricating the complex structure. Today, it has become possible to reliably manufacture dense parts with certain AM processes for many materials, including steels, aluminum and titanium alloys, superalloys, metal-based composites, and ceramic matrix composites. In the near future, the AM material variety will most likely grow further, with high-performance materials such as intermetallic compounds and high entropy alloys already under investigation.

Additive Manufacturing Applications for Metals and Composites is a pivotal reference source that provides vital research on advancing methods and technological developments within additive manufacturing practices. Special attention is paid to the material design of additive manufacturing of parts, the choice of feedstock materials, the metallurgical behavior and synthesis principle during the manufacturing process, and the resulted microstructures and properties, as well as the relationship between these factors. While highlighting topics such as numerical modeling, intermetallic compounds, and statistical techniques, this publication is ideally designed for students, engineers, researchers, manufacturers, technologists, academicians, practitioners, scholars, and educators.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Ceramics
  • Digital Manufacturing
  • Intermetallic Compounds
  • Metal Matrix Composites
  • Multi-Material Compounds
  • Numerical Modeling
  • Optimization
  • Statistical Techniques
  • Superalloys
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