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Sofiane KHELLADI

Full Professor at Arts et Métiers Institute of Technology
Head of Fluid Engineering and Energy Systems Laboratory -  LIFSE
(Laboratoire d'Ingénierie des Fluides et des Systèmes Énergétiques - LIFSE)

151 boulevard de l'Hôpital, 75013 Paris
sofiane.khelladi@ensam.eu

Research Activities

Professor Sofiane KHELLADI is a leading researcher in fluid dynamics and energy systems. His work encompasses advanced numerical methods, multi-phase and complex flows, multi-physics coupling, and the aero-hydrodynamics and acoustics of turbomachinery. With a solid foundation in computational fluid dynamics (CFD) and computational aeroacoustics (CAA), his research emphasizes theoretical and numerical approaches, consistently supported by experimental validation to ensure the accuracy and practical applicability of his models. He integrates fluid mechanics, thermodynamics, and acoustics to optimize the performance of fluid and energy systems. Additionally, he has made significant contributions to the rheology of flows in manufacturing processes, with a strong focus on the development and deployment of numerical methods for diverse applications.

Over the past 18 years, Prof. Khelladi has supervised more than 40 PhD students and post-doctoral researchers. He has authored over 100 articles in JCR journals, several book chapters, and holds multiple patents. Since 2020, he has been the Director of the Fluid Engineering and Energy Systems Laboratory (LIFSE) and, since 2018, the Director of the ISYTHERM joint laboratory for thermal management in automotive mobility in collaboration with Valeo Thermal Systems. As the Principal Investigator of numerous academic and industrial projects, he has developed several computational codes, some of which are actively used in the aerospace and automotive industries.

Publications

Books

Buy on: 

Industrial Strategies and Solutions for 3D Printing: Applications and Optimization 1st Edition

by Hamid Reza Vanaei, Sofiane Khelladi, Abbas Tcharkhtchi


Abstract
Although the published books or even review papers have covered different features in the field of 3D printing, almost all of them approach the topic from a specific focus. However 3D printing should be considered as a multidisciplinary field; aside from its rapid growth in novel approaches such as data science or artificial neural networks the topic applies comprehensively and rigorously to big data for optimization purposes.

This book provides an overall review of the 3D printing process, the applicable materials, controlling factors, state-of-the-art concepts and applications in different industries, and process optimization considerations. The first part of the book focuses on the applications of 3D printing process while the second part highlights the role of different 3D printing features toward optimization purposes with particular attention on the influence these features play on optimization purposes as well as the role of machine learning in optimization purposes.

Publisher ‏ : ‎ Wiley; 1st edition (May 29, 2024)

Language ‏ : ‎ English

Hardcover ‏ : ‎ 320 pages

ISBN-10 ‏ : ‎ 139415030X

ISBN-13 ‏ : ‎ 978-1394150304

Book chapters

Patents

Editorials