Vadim S. Tynchenko - Search Results

Year	Number of Results
2021	1
2022	1
2023	4

1

The Technology of Using Liquid Glass Mixture Waste for Reducing the Harmful Environmental Impact.

Kukartsev VA, Kukartsev VV, Tynchenko VS, Bukhtoyarov VV, Tynchenko VV, Sergienko RB, Bashmur KA, Lysyannikov AV. Kukartsev VA, et al. Materials (Basel). 2022 Feb 6;15(3):1220. doi: 10.3390/ma15031220. Materials (Basel). 2022. PMID: 35161162 Free PMC article.

2

Reuse and Mechanochemical Processing of Ore Dressing Tailings Used for Extracting Pb and Zn.

Golik VI, Klyuev RV, Martyushev NV, Kondratiev VV, Tynchenko VS, Gladkikh VA, Iushkova LV, Brigida V. Golik VI, et al. Among authors: tynchenko vs. Materials (Basel). 2023 Nov 1;16(21):7004. doi: 10.3390/ma16217004. Materials (Basel). 2023. PMID: 37959601 Free PMC article.

3

Classification of Acoustic Influences Registered with Phase-Sensitive OTDR Using Pattern Recognition Methods.

Barantsov IA, Pnev AB, Koshelev KI, Tynchenko VS, Nelyub VA, Borodulin AS. Barantsov IA, et al. Among authors: tynchenko vs. Sensors (Basel). 2023 Jan 4;23(2):582. doi: 10.3390/s23020582. Sensors (Basel). 2023. PMID: 36679381 Free PMC article.

4

Production of Workpieces from Martensitic Stainless Steel Using Electron-Beam Surfacing and Investigation of Cutting Forces When Milling Workpieces.

Martyushev NV, Kozlov VN, Qi M, Tynchenko VS, Kononenko RV, Konyukhov VY, Valuev DV. Martyushev NV, et al. Among authors: tynchenko vs. Materials (Basel). 2023 Jun 22;16(13):4529. doi: 10.3390/ma16134529. Materials (Basel). 2023. PMID: 37444843 Free PMC article.

5

Provision of Rational Parameters for the Turning Mode of Small-Sized Parts Made of the 29 NK Alloy and Beryllium Bronze for Subsequent Thermal Pulse Deburring.

Martyushev NV, Bublik DA, Kukartsev VV, Tynchenko VS, Klyuev RV, Tynchenko YA, Karlina YI. Martyushev NV, et al. Among authors: tynchenko vs. Materials (Basel). 2023 Apr 30;16(9):3490. doi: 10.3390/ma16093490. Materials (Basel). 2023. PMID: 37176372 Free PMC article.

6

The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Milov AV, Tynchenko VS, Kurashkin SO, Tynchenko VV, Kukartsev VV, Bukhtoyarov VV, Sergienko R, Kukartsev VA, Bashmur KA. Milov AV, et al. Sensors (Basel). 2021 Jun 18;21(12):4199. doi: 10.3390/s21124199. Sensors (Basel). 2021. PMID: 34207395 Free PMC article.

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