2020, Vol. 1, Issue 1, Part A
Tool path optimization for drilling holes using genetic algorithm
Author(s): Denish Khatiwada, Nabin Nepali, Nabin Raj Chaulagain and Aayush Bhattarai
Abstract: In CNC machining operations it is essential to improve the efficiency of the machine in terms of time, energy consumption etc. Drilling a large number of holes is widely practiced machining operation in manufacturing industries like in PCB manufacturing industry. For increasing the production rate, it is essential to optimize tool path such as reducing air time of tool path, drilling all the holes in the shortest path etc. A model for CNC drilling is designed in solid works, the co-ordinates of the holes is exported to excel, and thus optimization technique is used to find the optimal path. The optimal path is compared to that obtained from a commercial CNC software NC plot v2.34. This project is an attempt to optimize tool path in terms of shortest route for drilling a large number of holes in part. However, this technique may be applied to other CNC machining operations. The optimization of path is accomplished using evolutionary algorithm in solver.
Pages: 36-42 | Views: 1025 | Downloads: 736Download Full Article: Click HereHow to cite this article:
Denish Khatiwada, Nabin Nepali, Nabin Raj Chaulagain, Aayush Bhattarai. Tool path optimization for drilling holes using genetic algorithm. Int J Mach Tools Maint Eng 2020;1(1):36-42.