Parametric Programming of Multi-Type Holes Using the Improved Genetic Algorithm

For path planning and program generation of multi-type holes, this paper presents a method of the path planning, by using the improved genetic algorithm based on chaos algorithm, and develops an interactive programming system for multi-type holes. Users can choose regular holes, and input the parame...

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Veröffentlicht in:Key engineering materials Jg. 764; S. 333 - 341
Hauptverfasser: Tai Yong, Wang, Gao, Shan, Zhang, Yong Bin, Shen, Teng Yue, Dong, Jia Jia, Ding, Yan Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.02.2018
Schlagworte:
Computer simulation
Genetic algorithms
Interactive systems
Mathematical analysis
Optimization
Path planning
Product design
Combination of Holes
Path Planning
Genetic Algorithm
NC Program
ISSN:1013-9826, 1662-9795, 1662-9795
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Zusammenfassung:For path planning and program generation of multi-type holes, this paper presents a method of the path planning, by using the improved genetic algorithm based on chaos algorithm, and develops an interactive programming system for multi-type holes. Users can choose regular holes, and input the parameters and the necessary information, according to their needs. Then the system will combine holes automatically, and calculate the position coordinates of each hole. After that the path planning is carried out by using the improved genetic algorithm. Finally, the system carries out the simulation experiment of the path planning, and outputs NC program. Experiment shows the system can realize the path planning of multi-type holes by a combination of regular holes and generate the NC code after path planning. The optimization of path is better and the operation is more convenient than UG and other professional CAM software.
Bibliographie:Special topic volume with invited peer reviewed papers only
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.764.333