MATEC Web Conf.
Volume 224, 2018International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|Number of page(s)||5|
|Section||Manufacturing Technologies, Tools and Equipment|
|Published online||30 October 2018|
Improvement of the quality of designed cylindrical grinding cycle with traverse feeding based on the use of digital twin options
South Ural State University, Department of Engineering and Technology, 454080 Chelyabinsk, Lenin Avenue 76, Russian Federation
* Corresponding author: firstname.lastname@example.org
In practice of automated mechanical adjustment of cutting conditions for internal grinding operations at the CNC Machine, is carried out on many of control parameters (ccutting regimes, characteristics and geometric parameters of the wheels, etc.) and absence of effective methods of treatment and design of cycles (a normative reference, methods engineering techniques and Automated Design Systems). All this leads to the fact that cycles for CNC machines are selected the same as for manually processing of a number of workpieces in a single cycle. In order to meet the accuracy requirements and quality design optimized for manually initially cycles, which have low regime’s parameters. Therefore, the cycles obtained by the method of selection are not high-performance and they do not provide minimal processing time. This article discusses the use of a digital twin, which performs virtual testing for a specified grinding cycle, on the possibility of spoilage appearance at some combination of variable technological factors to improve the quality and reliability of control programs for CNC machines. Virtual testing of the digital twin is carried out by modelling the process of allowance removal for the whole processing cycle of the workpiece batch with different variables of technological factors, changing in the specified ranges of variation.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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