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An intelligent system for cutting tool and condition selection
Balič, Jože ; Čuš, Franc, 1953- ; Župerl, Uroš
This paper presents the development of an intelligent system for selection of cutting tools and conditions of milling operations. The system developed can be used to select the cutting insert and ...cutting conditions. It is able to analyse and optimise condition selection. This system is constructed and implemented using Matlab and Labview. It contains an inference engine, a user interface and explanation facility a complete shell, a knowledge base, and an optimisation module for machining conditions. It consists of three parts; ANfis selection module, off-line optimization module, on-line parameter adjusting module. The inputs to the system developed are the part and tool files. Due to high complexity of milling optimization problem, three nontraditional algorithms, the genetic algorithm (GA), ants colony algorithm (ACO) and the particle swarm optimization (PSO) have been employed to resolve this problem.
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