федеральное государственное автономное образовательное учреждение высшего образования
«Самарский национальный исследовательский университет имени академика С.П. Королева»

Вадим, Печенин A.

  • Department of Engine Production Technology, associate professor
  • Department of Physics, associate professor
2023
  • 1 Ginnyatulin R.R., Pechenina E.Yu., Pechenin V.A. Модель прогнозирования натягов в рабочем колесе компрессора // IX Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2023). — 2023. — Vol. 4.
  • 2 Pechenin V., Pechenina E., Bolotov M. Predictive model for compressor impeller tightness // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
2022
  • 1 Pechenin V., Pechenina E., Bolotov M. etc. Development of a nozzle assembly technique using clustering methods // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
  • 2 Yu Pechenina E., Pechenin V.A., Bolotov M.A. Development of the compressor impeller configuration algorithm // Journal of Physics: Conference Series. — 2022. — Vol. 2373(6).
  • 3 Pechenin V., Pechenina E. Solving the part identification problem using their STL models // Journal of Physics: Conference Series. — 2022. — Vol. 2373(7).
2021
  • 1 Pechenin V., Pechenina E., Bolotov M. etc. Reducing the labor intensity of technological operations using computer vision system // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
  • 2 Pechenina E.Yu., Pechenin V.A., Bolotov M.A. Model of analysis of the results of geometry scanning of turbine nozzles // III International Scientific Conference MIP: Engineering-III 2021: Modernization, Innovations, Progress: Advanced Technologies in Material Science, Mechanical and Automation Engineering. — 2021. — Vol. 1155.
  • 3 Pechenin V., Bolotov M., Pechenina E. Comparison of Machine Learning Methods for Improving Assembly Operations // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
  • 4 Grachev I. A. , Pechenin V., Bolotov M. etc. Comparative analysis of models for evaluating the end runouts of a rotor with parallel connections of parts // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
  • 5 Bolotov M.A., Pechenin V.A., Yu Pechenina E. etc. Digital model to optimize the rotor assembly for aircraft engine compressor models // Journal of Physics: Conference Series. — 2021. — Vol. 1745. Issue 1.
  • 6 Grachev I. A. , Bolotov M.A., Pechenin V.A. etc. Comparative analysis of simulation options for the real geometry of the surfaces of gas turbine engine parts // Journal of Physics: Conference Series. — 2021. — Vol. 1745. Issue 1.
  • 7 Pechenina E., Pechenin V., Bolotov M. Comparative analysis of neural network architectures for industrial machine vision system // 2021 International Scientific and Technical Engine Conference (EC). — 2021. — P. 1-4
  • 8 Pechenina E., Pechenin V., Bolotov M. Neural network training procedure for machine vision systems in aerospace industries // AIP Conference Proceedings. — 2021. — Vol. 2402.
  • 9 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Methods for determining the location parameters of GTE blade profiles based on their measurement results // Journal of Physics: Conference Series. — 2021. — Vol. 1745. Issue 1.
2020
  • 1 Diligenskii D.S., Novikov D.K., Pechenin V.A. etc. Designing a Technique for Estimating Press Fit Parameters of Elastic Rings for a Rotor Bearing Damper // Journal of Machinery Manufacture and Reliability 2020. — Vol. 49. Issue 7. — P. 618-623
  • 2 Pechenin V., Bolotov M., Pechenina E. etc. Creation of neural network models to solve the problems of forecasting the product geometrical accuracy // CEUR Workshop Proceedings. — 2020. — Vol. 2667. — P. 144-148
  • 3 Bolotov M., Pechenin V., Balyakin D. etc. Simulation of a gas turbine engine rotor assembly // Journal of Physics: Conference Series. — 2020. — Vol. 1553. Issue 1.
  • 4 Pechenin V.A., Bolotov M.A., Pechenina E.Yu. Neural network model of machine parts classification by optical scanning results // Journal of Physics: Conference Series. — 2020. — Vol. 1515. Issue 5.
  • 5 Grachev I. A. , Bolotov M.A., Kudashov E.V. etc. Problems and ways to reduce measurement uncertainties in evaluating the geometric assembly parameters of gas turbine engine assemblies // Journal of Physics: Conference Series. — 2020. — Vol. 1515. Issue 5.
  • 6 Khaeva G.R., Pechenin V.A. УПРАВЛЕНИЕ КАЧЕСТВОМ В ПРОИЗВОДСТВЕ ЛОПАТОК ТУРБИН // Всероссийская научно-практическая конференция «Наукоемкие технологии в машиностроении». — 2020. — P. 95-99
  • 7 Pechenin V.A., Pechenina E.Y., Bolotov M.A. Neural Network Model to Forecast of Part Measuring Uncertainties // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. — 2020. —
  • 8 Grachev I. A. , Bolotov M.A., Kudashov E.V. etc. Assignment of dimensional accuracy parameters of parts during assembly of aircraft repair engines // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 862. Issue 3.
2019
  • 1 Bolotov M.A., Grachev I. A. , Kudashov E.V. etc. Technological features of aircraft engine repair in digital production // Journal of Physics: Conference Series. — 2019. — Vol. 1399. Issue 4.
  • 2 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Информационная модель и архитектура программной системы для реализации цифрового двойника ротора турбины // Proceedings of the V international conference and youth school “Information Technologies and Nanotechnologies” (ITNT-2019). — 2019. — Vol. 4. — P. 833-842
  • 3 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Neural network model in digital prediction of geometric parameters for relative position of the aircraft engine parts // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 87-94
  • 4 Eliseev Yu.S., Bolotov M.A., Pechenin V.A. etc. Прогнозирование погрешностей сборки изделий с использованием действительных моделей деталей // Vestnik of Samara University. Aerospace and Mechanical Engineering 2019. — Vol. 18. № 2. — P. 128-137
  • 5 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Нейросетевая модель в цифровом прогнозировании геометрических параметров относительного положения деталей авиационных двигателей // Proceedings of the V international conference and youth school “Information Technologies and Nanotechnologies” (ITNT-2019). — 2019. — Vol. 4. — P. 608-616
  • 6 Bolotov M.A., Pechenin V.A., Ruzanov N.V. Нейросетевая модель распознавания поверхностей машиностроительных деталей по результатам оптического сканирования // Proceedings of the V international conference and youth school “Information Technologies and Nanotechnologies” (ITNT-2019). — 2019. — Vol. 2. — P. 232-240
  • 7 Kolchina Ekaterina Yurevna, Pechenin V.A., Bolotov M.A. etc. Модель прогнозирования вибрационного состояния роторов // MODEL FOR PREDICTING THE VIBRATION STATE OF ROTORS. — 2019. — Vol. 1. — P. 365-367
  • 8 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Surface recognition of machine parts based on the results of optical scanning // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 342-349
  • 9 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Information model and software architecture for the implementation of the digital twin of the turbine rotor // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
  • 10 Bolotov M.A., Pechenin V.A., Balyakin D. M. Issues for Virtual Simulation of Complex Assemblies // 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019. — 2019. —
  • 11 Bolotov M.A., Pechenin V.A., Grachev I. A. etc. Simulation for Pretensioning Bolted-Type Connections of High-Loaded Assembly Units // 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019. — 2019. —
2018
  • 1 Ruzanov N.V., Bolotov M.A., Pechenin V.A. etc. Development of a touch probing system for gaging the compressor blades of the GTE // Key Engineering Materials. — 2018. — Vol. 769 KEM. — P. 242-249
  • 2 Pechenin V.A., Rusanov N.V., Bolotov M.A. Model and software module for predicting uncertainties of coordinate measurements using the NX OPEN API // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
  • 3 Ruzanov N.V., Bolotov M.A., Pechenin V.A. The model for estimating the measurement error in geometric parameters of complex surfaces // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
  • 4 Bolotov M., Pechenin V., Kolchina E. Investigation of the vibration state of the turbine rotor taking into account the influence of geometric accuracy of parts // MATEC Web of Conferences. — 2018. — Vol. 224.
  • 5 Ruzanov N.V., Pechenin V.A., Bolotov M.A. Method to Evaluate Measuring Uncertainty of Probe Radius Compensation with Account for Variation in Measuring Surfaces // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 302. Issue 1.
  • 6 Boltov M.A., Kolchina E.J., Pechenin V.A. etc. Prediction of the vibration state of the GTE turbine rotor taking into account the influence of the geometric accuracy of parts // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 450. Issue 2.
  • 7 Stepanenko I.S., Pechenin V.A., Ruzanov N.V. etc. Technique of increasing the accuracy of GTE parts manufactured by selective laser melting // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
  • 8 Ruzanov N.V., Bolotov M.A., Pechenin V.A. Probability-Theoretical Model for Estimating Measurement Errors of Coordinate Measuring Machines // 2018 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2018. — 2018. —
  • 9 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Predicting geometric parameters of assemblies with neural network models // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
  • 10 Pechenin V.A., Bolotov M.A., Ruzanov N.V. A Model for Recognition of Geometrical Elements of Blade Feathers of Gas-Turbine Engines // Journal of Machinery Manufacture and Reliability 2018. — Vol. 47. Issue 3. — P. 296-302
2017
  • 1 Pechenin V.A., Bolotov M.A., Ruzanov N.V. Mathematical models for forecast of geometrical parameters of assembly units // CEUR Workshop Proceedings. — 2017. — Vol. 1904. — P. 23-28
  • 2 Ruzanov N.V., Bolotov M.A., Pechenin V.A. etc. The Method of Improving the Accuracy of Mechatronic Systems for Complex Geometry Measurements // Procedia Engineering. — 2017. — Vol. 176. — P. 529-539
  • 3 Ruzanov N.V., Bolotov M.A., Pechenin V.A. Probability-Theoretical model for product assembly parameters assessment // CEUR Workshop Proceedings. — 2017. — Vol. 1904. — P. 29-34
  • 4 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Mating of components with conical surfaces // Russian Engineering Research 2017. — Vol. 37. Issue 8. — P. 739-743
  • 5 Pechenin V.A., Khaimovich A.I., Kondratiev A.I. etc. Method of Controlling Cutting Tool Wear Based on Signal Analysis of Acoustic Emission for Milling // Procedia Engineering. — 2017. — Vol. 176. — P. 246-252
  • 6 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Coupling of components at plane–cylinder surfaces // Russian Engineering Research 2017. — Vol. 37. Issue 8. — P. 733-738
2016
  • 1 Pechenin V.A., Bolotov M.A., Ruzanov N.V. Technique of decomposition of form deviation for freeform surfaces // Key Engineering Materials. — 2016. — Vol. 685. — P. 334-339
  • 2 Bolotov M.A., Pechenin V.A. Model of mating of parts with nominal coaxial surfaces of rotation // Journal of Materials and Environmental Science 2016. — Vol. 7. Issue 9. — P. 3431-3436
  • 3 Pechenin V.A., Bolotov M.A., Stepanova E.R. Determination of the bilateral filter's parameters for the analysis of surface geometry deviations // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 386-392
  • 4 Pechenin V.A., Bolotov M.A., Ruzanov N.V. Coordinate measurements of cylindrical-gear precision // Russian Engineering Research 2016. — Vol. 36. Issue 10. — P. 861-866
  • 5 Pechenin V.A., Bolotov M.A. Basing error in coordinate measurements of cylindrical gears // Russian Engineering Research 2016. — Vol. 36. Issue 8. — P. 630-634
  • 6 Bolotov M.A., Pechenin V.A., Murzin S.P. Method for uncertainty evaluation of the spatial mating of high-precision optical and mechanical parts // Computer Optics 2016. — Vol. 40. Issue 3. — P. 360-369
  • 7 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Information system and model for analyzing blade geometry and solving problems on ensuring quality of aircraft gas-turbine engines // Journal of Machinery Manufacture and Reliability 2016. — Vol. 45. Issue 2. — P. 185-190
  • 8 Bolotov M.A., Pechenin V.A., Ruzanov N.V. Uncertainties in measuring the compressor-blade profile in a gas-turbine engine // Russian Engineering Research 2016. — Vol. 36. Issue 12. — P. 1058-1065
  • 9 Pechenin V.A. Методика компенсации погрешностей механической обработки сложнопрофильных деталей // Vestnik of Samara University. Aerospace and Mechanical Engineering 2016. — Vol. 15. № 4. — P. 252-264
  • 10 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Исследование неопределённостей измерений геометрических параметров профилей лопаток компрессора газотурбинного двигателя // Vestnik of Samara State Aerospace University 2016. — Vol. 15. № 2. — P. 162-170
  • 11 Bolotov M.A., Pechenin V.A. Model of precision parts assembly // Proceedings of the International Conference of DAAAM Baltic "Industrial Engineering". — 2016. — Vol. 2016-April. — P. 98-103
2015
  • 1 Pechenin V.A., Bolotov M.A. Модель анализа и классификации геометрии лопаток газотурбинных двигателей // Vestnik Moskovskogo aviatsionnogo instituta 2015. — № Том 22, №2. — P. 55-65
  • 2 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Сравнительное исследование алгоритмов измерения геометрии сложных профилей лопаток компрессора газотурбинного двигателя // Vestnik of the Samara State Aerospace university 2015. — № том 14, №3, ч.2. . — P. 438-447
  • 3 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Сравнительное исследование алгоритмов измерения геометрии сложных профилей лопаток компрессора газотурбинного двигателя // Vestnik of the Samara State Aerospace University 2015. — Vol. 14. № 3. Pt. 2. — P. 438-447
  • 4 Pechenin Vadim Andreevich, Bolotov Michael Alexandrovich, Yanyukina Mariya Viktorovna The model for estimate of cylindrical machined surfaces parameters // Applied Mechanics and Materials 2015. — № 770. — P. 579-584
  • 5 Pechenin V.A., Bolotov M.A., Ruzanov N.V. etc. Optimization of measurements of the geometry of parts with complex surfaces // Measurement Techniques 2015. — Vol. 58. Issue 3. — P. 261-268
  • 6 Bolotov M.A., Pechenin V.A., Ruzanov N.V. etc. Information model for estimate of the geometric parameters between the surfaces trapezoidal shape in the measurements of compressor blades of GTE // 2015 5th International Workshop on Computer Science and Engineering: Information Processing and Control Engineering, WCSE 2015-IPCE. — 2015. —
2014
  • 1 Bolotov M.A., Kapenkina E.A. , Ruzanov N.V. etc. Choice of production measuring instruments based on techno-economic analysis, taking into account the type I error and type II error // ARPN Journal of Engineering and Applied sciences 2014. — Vol. 9. Issue 10. — P. 1834-1841
  • 2 Bolotov M.A., Pechenin V.A., Ruzanov N.V. Modeling of coordinate measuring geometrical parameters form and location complexity profile of compressor blade GTE // Research Journal of Applied Sciences 2014. — Vol. 9. Issue 12. — P. 1143-1148
  • 3 Ruzanov N.V., Bolotov M.A., Pechenin V.A. Development of compensation procedure for systematic errors of coordinate measuring machines with standard tooling // Research Journal of Applied Sciences 2014. — Vol. 9. Issue 12. — P. 1082-1086
  • 4 Pechenin V.A., Bolotov M.A., Rusanov N.V. Method of evaluation of profile form and shaped surfaces with application of wavelets // Research Journal of Applied Sciences 2014. — Vol. 9. Issue 11. — P. 820-824
  • 5 Pechenin V.A., Bolotov M.A., Ruzanov N.V. Development of a method of ICP algorithm accuracy improvement during shaped profiles and surfaces control // International Journal of Engineering and Technology 2014. — Vol. 6. Issue 5. — P. 2229-2235