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Conference object . 2023
Data sources: SCIDAR
Journal of Innovations in Business and Industry
Article . 2023 . Peer-reviewed
Data sources: Crossref
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AUTOMATIC TOOL PATH GENERATION IN CONTOUR MILLING USING GENETIC ALGORITHM

Authors: Mitić, Predrag; Zahar Djordjevic, Marija; Petronijević, Vuk; Abadić, Nebojša; Djordjevic, Aleksandar;

AUTOMATIC TOOL PATH GENERATION IN CONTOUR MILLING USING GENETIC ALGORITHM

Abstract

The purpose of this paper is to present new approach in automatic tool path generation in contour milling based on genetic algorithm and bitmap representation of work piece and additional resources. It deals with the problem of tool path generation and optimization in contour milling which is the most common case in metalworking industry. The starting point is assumption that the geometry of initial working piece, machined part and clamping fixtures is represented as bitmaps, then the mathematical model is presented and genetic algorithm is used to generate and optimize tool path. Proposed approach greatly reduced the costs of part production through improved machining efficiency, realized through independent software solution implemented in object-oriented language Delphi and can be used as starting point for fully autonomous NC code generation.

Country
Serbia
Keywords

milling tool path, Genetic algorithm, bitmap representation, optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green