Zuradman Mohd Razlan

Papers

Total Citations

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About

Zuradman Mohd Razlan is a researcher specializing in advanced manufacturing and automation, with a particular focus on robotic spray coating systems and surface engineering. His major contributions lie in optimizing automated painting processes for industrial applications, notably in the aerospace sector. His most cited work, "Parameter Settings for an Automated Gantry-Robot Painting System using a 3-Gun Atomization Spray Method for an Anti-Static Coating Process" (2019, 9 citations), addresses critical quality improvements in dry film thickness and appearance for aircraft parts. By developing a gantry robot with an automated spray-painting gun to precisely control spray paths, Razlan has advanced the efficiency and reliability of anti-static coating processes. His research bridges the gap between theoretical automation and practical manufacturing, offering solutions that enhance product quality while reducing waste. Though early in his citation impact, his work demonstrates significant potential for influencing industrial coating technologies. Razlan’s achievements reflect a commitment to solving real-world manufacturing challenges through innovative robotic systems, making his research valuable for students and engineers interested in automation, robotics, and surface finishing technologies.