Overview

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.

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