Daniel Teixeira Maldonado

École nationale supérieure d'arts et métiers

Papers

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About

Daniel Teixeira Maldonado is a researcher at the forefront of advanced manufacturing, specializing in robotic single-point incremental forming (SPIF) and numerical simulation. His work bridges the gap between computational modeling and practical robotic fabrication, with a focus on developing and validating numerical chains that predict material behavior during forming processes. Maldonado’s most-cited paper, "Robotic SPIF Numerical Chain Development and Validation" (2023), has garnered 4 citations, reflecting its foundational role in improving the accuracy and efficiency of robotic forming for complex geometries. This contribution is particularly significant for industries like aerospace and automotive, where lightweight, custom components are essential. Beyond this, Maldonado’s research explores the integration of robotics with forming technologies, aiming to enhance process control and reduce waste. His work is notable for its emphasis on validation—ensuring that simulation results align with real-world outcomes—which is critical for industrial adoption. As a rising voice in manufacturing engineering, Maldonado continues to push the boundaries of what is possible with robotic forming, offering practical solutions for sustainable, high-precision production.