CNC TOOL PATH OPTIMIZATION USING ACO ALGORITHM FOR CNC TOOL PATH OPTIMIZATION USING ACO ALGORITHM FOR CNC TOOL PATH OPTIMIZATION USING ACO ALGORITHM FOR SURFACE MACHINING

Abstract

CNC path planning is very complex process. As a result of the fact that tool path planning necessitates major time commitments as well as highly skilled individuals, the programs utilized for tool movement control are also one of the most important constraints of contemporary CNC machines. There is still a significant productivity gap despite the fact that modern Computer Aided Manufacturing (CAM) packages have reduced the time required for tool path planning. That’s why our main goal to how to reduce machining time by using ACO Algorithm and reduce energy consumption.ACO Algorithm is basically a mathematical model (probabilistic in nature) use for optimization of path and it is very useful algorithm for optimizing the path. In this, thesis report, my main focus on, how to improve tool path of CNC machine by reducing machining time by using MATLAB. Firstly, I draw the product with proper dimension on CAD software. Then generate G-code for CNC machining of milling and drilling by the help of Master CAM software and afterwards I compare with Optimize G code generated by CAM software using ACO algorithm. This thesis proposes an effective methodology to reduce manufacturing time through the creation of quasi-optimal G-command sequences, based on initial machining codes derived from CAD/CAM software using Ant colony optimization algorithm. Also, identifying the optimal order of operation that enabled the shortest travel path for the cutting tool by the help of ACO algorithm. These steps resulted in consistent enhancements of approximately 16.58% for drilling machining.