Yessine Ayed

École nationale supérieure d'arts et métiers

Papers

Total Citations

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About

Yessine Ayed is a researcher specializing in advanced manufacturing processes, with a particular focus on robotic single-point incremental forming (SPIF). His work centers on the numerical chain development and validation of robotic SPIF systems, a key area in flexible sheet metal forming that bridges simulation and real-world application. Ayed’s most-cited paper, "Robotic SPIF Numerical Chain Development and Validation" (2023), has garnered 4 citations, demonstrating early impact in this niche field. His contributions include refining computational models to improve the accuracy and efficiency of robotic forming processes, addressing challenges in toolpath optimization and material behavior prediction. This work holds promise for reducing waste and enabling rapid prototyping in industries like automotive and aerospace. While his citation count is modest, Ayed’s research is foundational for advancing the integration of robotics with incremental forming, positioning him as an emerging voice in sustainable manufacturing. His achievements reflect a commitment to bridging theoretical numerical methods with practical robotic applications, offering valuable insights for students and researchers exploring the future of digital fabrication.