Gandjar Kiswanto
Papers
4
Total Citations
10
H-Index
2
About
Gandjar Kiswanto is a pioneering researcher in advanced manufacturing, specializing in micro-milling, tool wear monitoring, and computer vision. His work addresses a critical challenge in precision machining: the need for accurate, real-time tool wear assessment without interrupting production. Kiswanto’s major contribution is the development of low-cost, automated monitoring systems that replace traditional, time-consuming methods requiring tool detachment and electron microscopy. His flagship paper, “MicroEye: A low-cost online tool wear monitoring system with modular 3D-printed components for micro-milling application” (2022, 4 citations), introduces an innovative, affordable solution that enables continuous wear measurement. He further advanced this field through a series of studies (2021, each with 2 citations) that integrate robotic arm manipulators and Dino-Lite digital microscopes with image processing, creating a fully automated computer vision system. By eliminating the need for manual tool removal, Kiswanto’s research significantly reduces machining time and improves measurement accuracy. His work represents a notable achievement in democratizing precision monitoring technology, making it accessible for small-scale manufacturing and research labs.
Research Focus
Key Achievements
Top Papers
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