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About

Mathieu Gendron is a researcher specializing in advanced thermal processing and robotic manufacturing systems, with a particular focus on induction heat treatment technologies for large-scale industrial components. His work addresses critical challenges in post-weld heat treatment (PWHT) for hydraulic turbine runners and other massive steel structures, where traditional furnace-based methods are impractical. Gendron’s major contributions include developing coupled thermo-electromagnetic models and non-linear optimization frameworks for a novel robotic local induction heat treatment system. His most cited paper (2018, 23 citations) presents a comprehensive coupled model that enables precise temperature control during high-frequency induction heating, while his earlier work (2013, 3 citations) pioneered temperature profile optimization for PWHT in aging turbine runners, demonstrating how robotic systems can restore mechanical properties and relieve internal stresses without dismantling large components. His 2015 study (3 citations) further advanced thermal finite element analysis for process optimization. Though his citation counts are modest, Gendron’s research has practical significance for hydropower infrastructure maintenance and heavy manufacturing, offering a scalable, non-invasive solution for extending the service life of critical welded assemblies.