Daniel Afonso

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About

Daniel Afonso is a mechanical engineering researcher whose work centers on advanced manufacturing processes, particularly Single Point Incremental Forming (SPIF) and intelligent automation systems. His research has made meaningful contributions to the development and optimization of incremental sheet-metal-forming technologies, exploring their potential for cost-effective, flexible production of complex, customized components without the need for expensive dedicated tooling. Afonso's most cited work, "Finding the Best Machine for SPIF Operations" (2011, 16 citations), established foundational guidance for selecting appropriate machinery in SPIF applications — a practical contribution that has resonated widely within the manufacturing research community. His subsequent development of a compact incremental forming machine (2024) further demonstrates his sustained commitment to making SPIF more accessible and industrially viable. Beyond forming technologies, Afonso has expanded his research into intelligent automation, notably contributing to haptic-tool-based autonomous polishing systems that reduce reliance on skilled manual labor while improving adaptability to real-world part inaccuracies. His work on CAD/CAM strategies for parallel kinematics SPIF machines reflects a consistent drive to bridge computational design and physical manufacturing. With contributions spanning over a decade, Afonso represents a dedicated voice in flexible manufacturing research, particularly relevant for students exploring prototyping, small-batch production, and manufacturing automation.