OPTIMISATION OF THE MACHINING PROCESS USING GENETIC ALGORITHM
| Autor: | Tomáš Dodok, Nadežda Čuboňová, Zuzana Ságová |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Machining process
Mathematical optimization TA1001-1280 optimisation Computer science Mechanical Engineering Aerospace Engineering Transportation Engineering (General). Civil engineering (General) genetic algorithms Transportation engineering Automotive Engineering Genetic algorithm TA1-2040 cam system Civil and Structural Engineering |
| Zdroj: | Scientific Journal of Silesian University of Technology. Series Transport, Vol 104, Iss 104, Pp 15-25 (2019) |
| ISSN: | 2450-1549 0209-3324 |
| DOI: | 10.20858/sjsutst.2019.104.2 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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