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Optimisation of the machining process using genetic algorithm

Čuboňová Nadežda, Dodok Tomáš, Ságová Zuzana

Zeszyty Naukowe. Transport / Politechnika Śląska

2019

z. 104

15--25

This paper deals with genetic algorithms as an optimisation method and its use for optimisation of the machining process in the CAM system. Tool path verification and optimisation are two best ways of dramatically improving manufacturing operations while saving money with relatively little work. Genetic algorithms can be used for improvement of these operations and considerably reduce length of tool paths leading to the reduction of machine times and optimisation of cutting parameters. Provides the software application created to optimise processes of boring and local milling (Incomplete sentence; what or who provides).

Implementation of Innovative Methods for the Creation of Strategy Algorithms in CAD/CAM System Edgecam

Čuboňová Nadežda, Dodok Tomáš, Kuric Ivan, Císar Miroslav

Advances in Science and Technology. Research Journal

2018

Vol. 12, no 4

10--18

The paper deals with the issue of the machining process optimization by using the algorithms that were proposed for the creation of NC strategies in CAD / CAM systems. The possibilities to create NC strategy in CAD / CAM systems using Feature Based Machining were analyzed using Edgecam’s Strategy Manager Module, Mastercam’s FBM Drill, and Machining Knowledge Editor in the Siemens NX10. Strategy Manager Module of CAD/CAM system Edgecam was suggested for experimental use. On the basis of the of NC strategy creation definition in this system, the algorithms for creating of new NC strategies were proposed, and database application for this NC strategies were created. The use of created NC strategies will eliminate the repetitive steps in creating the machining process and shorten the NC program creation.