Model inteligentnega CAD/CAM sistema za programiranje CNC obdelovalnih strojev : doktorska disertacija

slovenian

doktorska dela

2012

Univerza v Mariboru, Fakulteta za strojništvo

Modern machine systems are highly automated, requiring a lot of flexibility. They strive toward complete autonomy. Since the programming of machine tools is a very complex process that consists out of many, among each other, dependant problems, despite tremendous efforts, it has not been able to automate it yet. A review of researches has shown that current developed systems are very narrowly limited and can be used just as an accessory, when machining procedure is being prepared. In this dissertation automated programming of CNC-machine tools with the help of artificial intelligence was suggested. The developed intelligence is not only partially, but entirely ableto solve a complex problem of automated programming of machine tools. Based on a CAD-model of the product, the system, without any help of an expert, automatically prepares a NC-program, so that the machining is safe, accurate and time efficient. In the same time certain technological requirements are also fulfilled. In the developed CAD/CAM- system swarm intelligence, NSGA-II multi-objective optimization and feed-forward neural network are used. In the same time the system exploits benefits and power of informatization, so that with the distributed computing architecture, it achieves greater efficiency in solving such a complex problem completely. The system consists out of prediction and evaluation module. In a prediction module the artificial intelligence suggests solutions which include information about tool path, selected tools and suggested cutting parameters. The evaluation module estimates the suggested solutions considering geometrical, technological and time criterion and the criterion of efficiency of machining. A discrete and continuous simulation model was developed for searching optimal solutions. The proposed system is in general suitable for different types of machining. Because of the scope of dissertation, our testing of the system is focused only on milling. The test results have confirmed that with the help of the method of artificial intelligence, machine tools can be automatically programmed.

08.08.2023