Digital Twins for Computer Aided Design on Lathe Operations
Author:
Affiliation:
1. South Ural State University
2. Azerbaijan Technical University
3. Amur State University named after Sholom Aleichem
Abstract
Publisher
Trans Tech Publications Ltd
Link
https://www.scientific.net/EH.7.87.pdf
Reference12 articles.
1. Increasing the Productivity of Multitool Machining on Automated Lathes by Optimizing the Machining Plan;Bogatenkov;Russian Engineering Research,2021
2. Increasing the Productivity of Multitool Machining on Automated Lathes by Optimizing the Tool Positions;Bogatenkov;Russian Engineering Research,2021
3. S.A. Bogatenkov, N.S. Sazonova, N.D. Yusubov, et al., Decision-making in the conditions of introduction of automated design systems of technological processes, SOCAR Proceedings Special Issue 1 (2022) 006-010.
4. A constrained multi-objective optimization of turning process parameters by genetic algorithm and particle swarm optimization techniques;Gadagi;Materials Today: Proceedings
5. Multi-objective particle swarm algorithm for the posterior selection of machining parameters in multi-pass turning;Ameur;Journal of King Saud University - Engineering Sciences
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