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" Intelligent PCB Drilling Machine" Nowadays, many industries use the Computerized Numerical Control (CNC) for Printed Circuit Board (PCB) drilling machines in industrial operations. It takes a long time to find optimal tour for large number of nodes (up to thousands). To achieve more effective results, optimization systems approach is required to be equipped in drilling machine. Euclidean Traveling Salesman Problem (TSP) is one of optimization method that gives fast near optimal solution for the drilling machine movement using novel friendly techniques. This project deals with the development of that CNC PCB drilling machine with novel approach to Euclidean TSP. This design can be widely applied to various CNC PCB drilling machines in small and medium scale manufacturing industries. • Role In Project:- Project Leader - Design of project , Analysis • Achievements Of Projects : - a. Reduce human efforts and errors in PCB drilling. b. Automation of a traditional PCB drilling m/c. c. Cost effective automated PCB drill m/c which is affordable by the small scale PCB makers. d. Most use of electronic waste was from printers or other part of old m/c’s which are scrap.
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