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About

Velizar Zaharinov is a researcher specializing in industrial robotics and manufacturing automation, with a particular focus on optimizing robotic systems for die casting processes. His work centers on the computer-aided selection of optimal structural variants and size ranges for robots and their components, addressing critical challenges in foundry automation. Zaharinov’s major contributions include developing mathematical models and sensitivity analyses to determine the most efficient configurations for pneumatically actuated linear modules used in sprayer robots, as well as for robots extracting castings from die casting machines. His research on “Computer-Aided Choosing of an Optimal Structural Variant of a Robot for Extracting Castings from Die Casting Machines” (2023) has garnered 6 citations, while his studies on size range optimization for pneumatically actuated linear modules (2022, 2020) have accumulated 4 and 3 citations, respectively. These works demonstrate his systematic approach to enhancing productivity and precision in industrial settings. Zaharinov’s findings are particularly valuable for engineers and researchers seeking to improve the efficiency and reliability of automated die casting operations, making him a notable contributor to the field of manufacturing robotics.