Shahrizal Ariffadillah

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About

Shahrizal Ariffadillah is a researcher specializing in advanced manufacturing and automation, with a focus on robotic spray coating systems for industrial applications. His work centers on optimizing automated painting processes to enhance quality and efficiency in production environments. In his most cited study, "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), Ariffadillah addresses critical challenges in achieving uniform dry film thickness and superior appearance for aircraft parts. By developing a gantry robot system with automated spray-painting gun control, he demonstrates how precise parameter settings can significantly improve coating quality while reducing material waste. This contribution is particularly valuable for industries requiring high-precision anti-static coatings, such as aerospace manufacturing. His research bridges the gap between theoretical automation principles and practical industrial implementation, offering actionable insights for engineers seeking to optimize robotic painting systems. Ariffadillah’s work underscores the growing importance of automation in achieving consistent, high-quality finishes in complex manufacturing processes.