© 2019

Additive Manufacturing of Emerging Materials

  • Bandar AlMangour
  • Focuses on additive manufacturing techniques for realizing composites and other complex materials

  • Addresses development tools, such as CAD, simulation, and optimization, which support implementation of complex material AM technology

  • Explores endowing components with added functionality, including sensor and electronic integration


Table of contents

  1. Front Matter
    Pages i-vi
  2. Taban Larimian, Tushar Borkar
    Pages 1-28
  3. Eskandar Fereiduni, Mostafa Yakout, Mohamed Elbestawi
    Pages 55-109
  4. Lai-Chang Zhang, Peng Qin
    Pages 197-226
  5. Kamaljit Singh Boparai, Rupinder Singh
    Pages 251-277
  6. Gurleen Singh Sandhu, Rupinder Singh
    Pages 279-297
  7. Nishant Ranjan, Rupinder Singh, I. P. S Ahuja, Jatenderpal Singh
    Pages 325-345
  8. Back Matter
    Pages 347-355

About this book


This book provides a solid background for understanding the immediate past, the ongoing present, and the emerging trends of additive manufacturing, with an emphasis on innovations and advances in its use for a wide spectrum of manufacturing applications. It contains contributions from leading authors in the field, who view the research and development progress of additive manufacturing techniques from the unique angle of developing high-performance composites and other complex material parts. It is a valuable reference book for scientists, engineers, and entrepreneurs who are seeking technologically novel and economically viable innovations for high-performance materials and critical applications. It can also benefit graduate students and post-graduate fellows majoring in mechanical, manufacturing, and material sciences, as well as biomedical engineering.


3D structures Multi-phase materials Complex structures Metal matrix composite Polymer matrix composite Ceramic matrix composite Feedstock mixtures Sensor and electronics integration Optimized design of materials Joint design of materials and processes Structural investigations Mechanical performance evaluation Functional performance evaluation

Editors and affiliations

  • Bandar AlMangour
    • 1
  1. 1.School of Engineering and Applied SciencesHarvard UniversityCambridgeUSA

About the editors

AlMangour has worked as a Postdoctoral Fellow at Harvard University, School of Engineering and Applied Science during 2017. Bandar AlMangour received his Ph.D. and Master of Science in Materials Science and Engineering from University of California, Los Angeles (UCLA) in 2014 and 2017 respectively, a Master of Engineering in Materials Engineering from McGill University in 2012, and a Bachelor of Science in Mechanical Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in 2005. He served as a Research Engineer at the Saudi Basic Industries Corporation (SABIC) from Jun. 2008–Dec. 2009 and as a Production Supervisor in the Rolling Mills division from Apr. 2005–May 2008 at the Saudi Iron & Steel Company (HADEED), a SABIC affiliate in Jubail, Saudi Arabia. AlMangour is a member of several professional associations and still served as a reviewer in several internationally recognized journals. AlMangour has authored a book published by LAP LAMBERT Academic Publishing (2014) and a chapter for a book published by Nova Science Publishers (2015), as well as a chapter for a book published by Springer (2017).

His principle research interests include the laser-based additive manufacturing of metal alloys and metal matrix composites, scalable micro- and nano-manufacturing, materials processing, physical metallurgy, bulk-form nanostructured alloys and composites, and surface engineering. AlMangour has authored more than 20 peer-reviewed papers in internationally recognized journals and presented research at several international conferences.

He was awarded the SABIC Graduate Fellowships (Doctor of Philosophy, 2012–2017; Master of Engineering, 2010–2012), the Undergraduate Memorial Honor Medal (2005), Certificates of Distinction (KFUPM, 2004 and 2005), the Department of Materials Science and Engineering “Outstanding Ph.D. Student Award” (2017), FEI Tony Award for best SEM image (2017).

Bibliographic information

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