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This book presents a collection of chapters that examine topology-optimization strategies for lightweight structures, AM process-simulation tools for predicting part quality, and a broad range of quality-control methodologies including defect detection, dimensional-accuracy assessment, and standardized testing procedures. It showcases applications of advanced data-analysis techniques and the growing role of Artificial Intelligence in process monitoring, quality control, and design optimization. The book also highlights hybrid manufacturing approaches that combine AM with conventional techniques, as well as contributions exploring digital-twin frameworks, IoT integration, and big-data analytics in the context of Industry 4.0. Together, these contributions offer readers a comprehensive overview of current research directions and practical innovations across the additive-manufacturing workflow.