Iraj Lirabi

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About

Iraj Lirabi is a leading researcher in robotic machining and manufacturing automation, with a primary focus on chatter prediction and process stability in industrial robotics. His most-cited work, "A New Approach for Chatter Prediction in Robotic Milling Based on Signal Processing in Time Domain" (2013, 11 citations), addresses a critical challenge in the field: the inherent structural flexibility of robotic manipulators compared to conventional CNC machine tools, which makes them prone to regenerative chatter during milling operations. Lirabi’s major contribution lies in developing innovative time-domain signal processing techniques that enable real-time chatter detection and avoidance, significantly improving the reliability and precision of robotic machining systems. His research bridges the gap between industrial robotics and high-accuracy manufacturing, demonstrating that robots can serve as cost-effective, flexible alternatives to traditional machine tools when equipped with intelligent monitoring and control strategies. By tackling the fundamental instability issues that have limited robotic adoption in precision machining, Lirabi’s work has laid important groundwork for advancing automated manufacturing, making him a notable figure in the ongoing evolution of smart factory technologies.