Advances in Additive Manufacturing: Materials, Processes, and Applications II

Advances in Additive Manufacturing: Materials, Processes, and Applications II book cover

Advances in Additive Manufacturing: Materials, Processes, and Applications II

Author(s): Mohamed Soula (Editor), Naoufel Ben Moussa (Editor), Ali Trabelsi (Editor), Noureddine Ben Yahia (Editor), Farhat Ghanem (Editor), Issam Dridi (Editor)

  • Publisher: Springer
  • Publication Date: July 29, 2025
  • Language: English
  • Print length: 288 pages
  • ISBN-10: 3031948882
  • ISBN-13: 9783031948886

Book Description

This book reports on research and developments in the field of 3D printing, with a special emphasis on methods to analyse the products of additive manufacturing, and optimize different steps of the manufacturing process. Gathering selected contributions to the 3rd Advances in Additive Manufacturing Conference (AIAM' 2024), held on May 17-19, 2024, in Hammamet, Tunisia, this book covers a variety of topics, including: analysis of microstructure and material behavior, numerical simulation and model techniques for optimization of manufacturing processes, machine learning for quality control and automated monitoring, among others. Offering a good balance of fundamental research and industrially relevant findings, this book provides researchers and professionals with a timely snapshot of and extensive information on current developments in the field and a source of inspiration for future research and collaboration.

Editorial Reviews

From the Back Cover

This book reports on research and developments in the field of 3D printing, with a special emphasis on methods to analyse the products of additive manufacturing, and optimize different steps of the manufacturing process. Gathering selected contributions to the 3rd Advances in Additive Manufacturing Conference (AIAM' 2024), held on May 17-19, 2024, in Hammamet, Tunisia, this book covers a variety of topics, including: analysis of microstructure and material behavior, numerical simulation and model techniques for optimization of manufacturing processes, machine learning for quality control and automated monitoring, among others. Offering a good balance of fundamental research and industrially relevant findings, this book provides researchers and professionals with a timely snapshot of and extensive information on current developments in the field and a source of inspiration for future research and collaboration.

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