Tarmo Linna

Papers

Total Citations

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About

Tarmo Linna is a researcher specializing in robotic machining, process modeling, and manufacturing automation. His work focuses on improving the precision and predictability of industrial robots in material removal operations, particularly face milling. Linna’s most cited paper, “Identification of a static tool force model for robotic face milling” (2014, 12 citations), presents two process models that predict mean tool force components when milling aluminum, bronze, and steel with an industrial robot. By modeling key parameters such as depth and width of cut while controlling feedrate and cutting speed, Linna’s research provides a foundation for enhancing robotic machining accuracy and efficiency. His contributions are valuable for advancing the use of robots in high-precision manufacturing, reducing the gap between traditional CNC machining and flexible robotic systems. Though his citation count is modest, Linna’s work is notable for its practical application in industrial settings, offering engineers and researchers a systematic approach to tool force prediction. His research supports the broader goal of integrating robots into complex machining tasks, making him a key figure in the field of robotic manufacturing and process optimization.