Sandra Chevret

ParisTech, École nationale supérieure d'arts et métiers, Université de Lorraine

Papers

Total Citations

H-Index

About

Sandra Chevret is a leading researcher in advanced robotic manufacturing, specializing in friction stir welding and incremental forming processes. Her primary contributions lie in developing sophisticated path-planning algorithms that compensate for robotic deflection during high-force operations—a critical challenge in solid-state welding of aluminum components. Her most influential work, "Off-line path programming for three-dimensional robotic friction stir welding based on Bézier curves" (2018, 16 citations), introduced a novel approach to pre-program robot trajectories that account for elastic joint deformation, significantly improving weld accuracy and repeatability. Chevret further advanced this field by integrating B-spline-based deflection compensation in robotic friction stir welding (2018, 4 citations), enabling more complex geometries. Her recent work on robotic single-point incremental forming (SPIF) numerical chain validation (2023, 4 citations) extends her expertise to sheet metal forming, demonstrating her versatility in computational modeling and process optimization. Chevret’s research bridges the gap between theoretical kinematics and practical industrial applications, making her a key figure in the evolution of flexible, automated manufacturing systems.