OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS
The method of optimizing the design of gating-feeding systems on the basis of the automated classification algorithm of technological complexity of the casting is presented.
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2018-01-01
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| Series: | Литьë и металлургия |
| Subjects: | |
| Online Access: | https://lim.bntu.by/jour/article/view/2164 |
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| _version_ | 1839569046980263936 |
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| author | I. B. Odarchenko V. A. Zharanau I. N. Prusenko |
| author_facet | I. B. Odarchenko V. A. Zharanau I. N. Prusenko |
| author_sort | I. B. Odarchenko |
| collection | DOAJ |
| description | The method of optimizing the design of gating-feeding systems on the basis of the automated classification algorithm of technological complexity of the casting is presented. |
| format | Article |
| id | doaj-art-c20de247865948c5b21e7eddb6ec901a |
| institution | Matheson Library |
| issn | 1683-6065 2414-0406 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Литьë и металлургия |
| spelling | doaj-art-c20de247865948c5b21e7eddb6ec901a2025-08-04T16:50:32ZengBelarusian National Technical UniversityЛитьë и металлургия1683-60652414-04062018-01-0104848810.21122/1683-6065-2017-4-84-882144OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERSI. B. Odarchenko0V. A. Zharanau1I. N. Prusenko2Pavel Sukhoi State Technical University of GomelPavel Sukhoi State Technical University of GomelPavel Sukhoi State Technical University of GomelThe method of optimizing the design of gating-feeding systems on the basis of the automated classification algorithm of technological complexity of the casting is presented.https://lim.bntu.by/jour/article/view/2164gating systemsturbulenceclassificationoptimizationhydrodynamicsprocess manufacturing complexity |
| spellingShingle | I. B. Odarchenko V. A. Zharanau I. N. Prusenko OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS Литьë и металлургия gating systems turbulence classification optimization hydrodynamics process manufacturing complexity |
| title | OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS |
| title_full | OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS |
| title_fullStr | OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS |
| title_full_unstemmed | OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS |
| title_short | OPTIMIZATION OF THE HYDRODYNAMICS OF GATING-FEEDING SYSTEMS IN ACCORDANCE WITH THE USE OF NEURO NETWORKS METHODS OF CLASSIFICATION OF TECHNOLOGICAL PARAMETERS |
| title_sort | optimization of the hydrodynamics of gating feeding systems in accordance with the use of neuro networks methods of classification of technological parameters |
| topic | gating systems turbulence classification optimization hydrodynamics process manufacturing complexity |
| url | https://lim.bntu.by/jour/article/view/2164 |
| work_keys_str_mv | AT ibodarchenko optimizationofthehydrodynamicsofgatingfeedingsystemsinaccordancewiththeuseofneuronetworksmethodsofclassificationoftechnologicalparameters AT vazharanau optimizationofthehydrodynamicsofgatingfeedingsystemsinaccordancewiththeuseofneuronetworksmethodsofclassificationoftechnologicalparameters AT inprusenko optimizationofthehydrodynamicsofgatingfeedingsystemsinaccordancewiththeuseofneuronetworksmethodsofclassificationoftechnologicalparameters |