| Issue |
MATEC Web Conf.
Volume 129, 2017
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2017)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 6 | |
| Section | Modern Manufacturing Technologies, Tools and Equipment | |
| DOI | https://doi.org/10.1051/matecconf/201712901018 | |
| Published online | 07 November 2017 | |
Prospects for the development of the theory of designing optimal cycles of machining in a multidimensional space of control parameters
1
South Ural State University, Department of Engineering and Technology, 454080 Chelyabinsk, Lenin Avenue 76 Russian Federation
2
South Ural State University, Department of Automated Engineering Technology, 76, Lenin Avenue Chelyabinsk, 454080 Russian Federation
* Corresponding author: popovaav@susu.ru
In the engineering industry there are still no domestic systems of designing efficient automatic cycles for CNC machines because of the lack of a theory of their design. The article describes the approach to the development of the designing theory of optimal automatic cycles, covering all types of machining operations. The basis of this theory is a mathematical model for controlling the process of metal removal, adequately describing the process of metal removal using the whole complex of control parameters as with all possible combinations of the main technological factors as and in the wide ranges of their allowable variation. The dynamic programming method (DPM) is used as a mathematical method of optimization; it can be used for complex optimization of the processing cycle in the multidimensional space of control parameters with any number of constraints verified at each step of a directed enumeration of calculation options. As a result, it becomes possible to optimize an unlimited number of control parameters for all types of machining operations performed on CNC machines
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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