Industrial Strategies and Solutions for 3D Printing

INDUSTRIAL STRATEGIES AND SOLUTIONS FOR 3D PRINTING

Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning

Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as architecture, engineering, medical, jewelry, footwear, and industrial design.

While many published books and review papers have explored various aspects of 3D printing, they often approach the topic from a specific perspective. This book instead views 3D printing as a multidisciplinary field, extending beyond its rapid growth into emerging areas like data science and artificial intelligence.

Written by three highly qualified academics with significant research experience in related fields, Industrial Strategies and Solutions for 3D Printing: Applications and Optimization includes information on:

• Role of various 3D printing features in optimization and how machine learning can be used to further enhance optimization processes
• Specific optimization techniques including physico-chemical, mechanical, thermal, and rheological characteristics
• Steps for transitioning of 3D printing from the laboratory scale to industrial applications in fields such as biology, turbomachinery, automotive, and aerospace
• Challenges related to the controlling factors for in the optimization purpose, along with in-process monitoring of 3D printing for optimal results and output

Industrial Strategies and Solutions for 3D Printing: Applications and Optimization is a valuable and up-to-date reference on the subject for researchers, scholars, and professionals in biomedical, chemical, and mechanical engineering seeking to understand foundational concepts related to the free-form fabrication approach and how to achieve optimal results.

Auteur

Hamid Reza Vanaei is an Associate Professor at Ecole Supérieure d'Ingénieurs Léonard de Vinci (ESILV), Léonard de Vinci University in Paris, France.

Sofiane Khelladi is a Full Professor at Arts et Métiers Institute of Technology in Paris, France.

Abbas Tcharkhtchi is a Full Professor at Arts et Métiers Institute of Technology in Paris, France.