Imed Zaghbani

Papers

Total Citations

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About

Imed Zaghbani is a researcher specializing in robotic machining and advanced manufacturing technologies, with a particular focus on the dynamic behavior and performance optimization of robotic systems in industrial applications. His work addresses one of the most pressing challenges in modern manufacturing: overcoming the inherent limitations of robotic systems, specifically their low rigidity and susceptibility to vibration, which can compromise machining quality and efficiency. Zaghbani's most notable contributions center on understanding and mitigating vibration responses in robotic machining environments. His 2013 study on the vibration response of robotic machining systems, which has garnered 28 citations, provides critical experimental insights into how structural stiffness limitations affect machining precision. Complementing this, his earlier 2011 work on high-speed robotic machining of aluminum alloys, with 21 citations, demonstrates practical strategies for pushing the boundaries of robotic manufacturing capabilities with lightweight yet demanding materials. Through his research, Zaghbani has made meaningful contributions toward expanding the applicability of robotic machining as a cost-effective alternative for producing complex components. His experimental approach bridges theoretical understanding with industrial practicality, making his findings particularly valuable for engineers and researchers seeking to advance the reliability and precision of next-generation robotic manufacturing systems.