Critical aspects of the technology include cutting tools, machinability data, cutter path generation and technology. The use of high speed milling (HSM) for the production of moulds and dies is becoming more widespread. The test results confirmed that with the help of this method of artificial intelligence, machine tools can be automatically programmed. In this paper, the developed system is experimentally tested using a test case of manufacturing. A simulation model was developed for searching optimal solutions.

The evaluation module estimates the suggested solutions by considering the geometrical, technological and time criteria, and the criterion of efficiency of machining. In a prediction module artificial intelligence suggests solutions that include information about tool path, selected tools and suggested cutting parameters. The system consists of a prediction and evaluation module. The developed CAD/CAM system uses NSGA-II multi-objective optimisation and swarm intelligence. Based on a CAD-model of the product, the system, without any help from an expert, automatically prepares a CNC program, so that the machining is safe, accurate and time-efficient. This paper suggests the automated programming of CNC-machine tools with the help of artificial intelligence.

It is shown that, use of process simulations in tool path planning and generation offers significant benefits in decreasing the total cycle time in 5-axis milling. The proposed approach is applied on representative cases relevant to industrial applications to demonstrate the benefits. In this paper, a novel approach is proposed for identification of efficient surface milling parameters according to the variation of cutting forces and stability along the tool path, and then continuously implementation of these parameters for smart tool path generation, obeying the geometrical requirements.

In 5-axis milling, the efficient process parameter set usually vary along the tool path due to varying engagement conditions because of inherent reasons. Consequently, the generated tool path may be off the high-performance milling parameters. Current computer-aided manufacturing (CAM) technology offers limited flexibility and assistance for such purposes, where purely geometrical issues are considered. Efficient 5-axis milling of free form surfaces required smart parameter selection and tool path generation approaches.

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