1.

Comparison of different optimization and process control procedures.

This paper proposes a new intelligent system for selection of cutting tools and conditions of milling operations. Experimental results confirm that proposed approach is suitable and efficient for solving complex continuous optimization problems in machining. It consists of inference core, user interface, knowledge and rule base and optimization module.

B.03 Paper at an international scientific conference

COBISS.SI-ID: 14174742

2.

Intelligent control of milling process by inverse modelling and fuzzy feedback mechanism.

To increase productivity, a new adaptive learning control system in milling processes has been developed. Based on proposed control system which consists of neural network dynamics model of the process and fuzzy feedback control module. The developed control system can reduce the machining time, protect the cutting tool, and increase the cutting efficiency. The main advantage of this approach is that the use of an adaptive learning control of milling processes does not require a priori knowledge about the servo-loops and the milling process dynamics.

B.03 Paper at an international scientific conference

COBISS.SI-ID: 13249046

3.

Self-learning control strategy with application to milling system.

Paper describes the development of neural control system for load monitoring on machine tool. The description of making the system, simulator, controller simulations, searching for optimal parameters of controller and finally the experimental testing on machine tool follows.

B.03 Paper at an international scientific conference

COBISS.SI-ID: 13651478

4.

Control strategy of constant milling force system and metal removal rate maximizion.

Paper describes the development of control strategy for load monitoring on machine tool. The description of making the system, simulator, controller simulations, searching for optimal parameters of controller and finally the experimental testing on machine tool follows.

B.03 Paper at an international scientific conference

COBISS.SI-ID: 14293782

5.

An intelligent system for cutting tool and condition selection

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.

B.03 Paper at an international scientific conference

COBISS.SI-ID: 13147414