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Modeling, Analysis, and Control of 3D Printing Processes

Romdhane Ben Khalifa

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Paperback

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English
IGI Global
20 May 2025
Three-dimensional (3D) printing, also known as additive manufacturing, revolutionizes modern manufacturing by enabling rapid, customized, and complex part fabrication across various industries. To ensure consistent product quality there is a need for advanced techniques in modeling, analysis, and control of 3D printing processes. Modeling helps in understanding the intricate physical phenomena involved, like heat transfer, material flow, and phase changes, while analytical methods predict outcomes and identify defects. Control systems minimize errors and ensure process stability. Further exploration into this field may improve reliability, efficiency, and scalability in 3D printing technologies. Modeling, Analysis, and Control of 3D Printing Processes explores the key aspects involved in the modeling, analysis, and control of 3D printing processes. It examines modeling, simulation, analysis, and control mechanisms, including the intricacies of the printing process, and analyzes the associated challenges, implementing effective control strategies for advanced 3D printing. This book covers topics such as circular economy, material recycling, and sensor technologies, and is a useful resource for engineers, business owners, manufacturers, academicians, researchers, and scientists.
Edited by:  
Imprint:   IGI Global
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Dimensions:   Height: 254mm,  Width: 178mm, 
ISBN:   9798337305349
Pages:   676
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Romdhane Ben Khalifa is assistant professor, academic and researcher in the field of mechanical engineering, primarily associated with the University of Gabes. He holds a position at the National engineering school of Gabes (ENIG) where his research and teaching focus on optimization, neural networks, and CAD/CAM technologies. His work is well-regarded for its contributions to the improvement of manufacturing processes and the application of artificial intelligence in engineering. He obtained his PhD Doctoral thesis in Mechanical Engineering at National Engineering School of Tunisia in 2012. In 2005, he obtained the Master degree of Mechanical Engineering from the National Engineering School of Tunisia. He has authored a number of research papers in the field of Mechanical engineering in impacted international journals. Publications

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