sergeinikolaev

Sergei Nikolaev

Professor: Ighor Uzhinsky

Sergei Nikolaev has expertise in finite-element modelling, structural dynamics,  digital signal processing and machine learning. He graduated from Applied Mechanics Department at the Bauman Moscow State Technical University in 2012 and defended his PhD in 2017 at the same University. During his postgraduate studies, Sergei has concentrated non-linear vibrations and finite element models verification and updating. The main focus of his PhD research was time-domain structural damping identification.  Sergei has developed the methods which are used in special software for auto-excited vibration prediction in turbine blades 5-axis milling. Also, Sergei was a team leader in a group which was developing special software for automated experimental modal analysis which now is used in the aerospace company «NPO Mashinostroyenia».

At Skoltech, Sergei is leading a group focused on hybrid modelling of technical systems based on a combination of data-driven and physics-based approaches. The group is working on methods and tools for predictive and prescriptive analytics of complex systems (gas-engines, automotive injectors, oil&gas infrastructure, etc.). One more research direction of the group is the application of machine learning for product design and manufacturing and surrogate models development.

Sergei also teaches the courses Introduction to Product Lifecycle Management (PLM),  Advanced PLM techniques I: Digital Design & Optimization, Advanced PLM techniques II: Product Prototyping, Advanced PLM techniques III: Testing & Model Validation.

Research area:

Hybrid modelling of technical systems using combination of numerical simulation and machine learning techniques for prescriptive analytics.

 

Projects:

– Joint research project with Siemens Industry Software: Simulation-assisted non-destructive testing of composites

– Industrial project: AI-assisted modelling of plastic injection molding

– Industrial project: Data-driven predictive modelling of the diesel injection process

– Industrial project: Hybrid modelling of gas-engine power plant for its prescriptive maintenance

Nikolaev S., Belov S., Gusev M., Uzhinsky I. Hybrid modelling approach for prescriptive maintenance of gas-turbine power plant . Product Lifecycle Management to Support Industry 4.0. PLM 201 9. IFIP Advances in Information and Communication Technology, Springer

Gusev M., Nikolaev S., Belov S., Papupov A., Uzhinsky I.Optimization-driven product development to support digital twin creation on the small UAV case study In Proceedings of the Summer Simulation Multi-Conference (SummerSim ‘1 9). Society for Computer Simulation International, Berlin, Germany

Nikolaev S., Gusev M., Padalitsa D., Mozhenkov E., Mishin S., Uzhinsky I. (2018) Implementation of “Digital Twin” Concept for Modern Project-Based Engineering Education. Product Lifecycle Management to Support Industry 4.0. PLM 2018. IFIP Advances in Information and Communication Technology, vol 540. Springer

Gusev M.P., Nikolaev S.M., Uzhinsky I.K., Padalitsa D.I., Mozhenkov E.R. (2018) Application of Optimization in the Early Stages of Product Development, Using a Small UAV Case Study. Product Lifecycle Management to Support Industry 4.0. PLM 2018. IFIP Advances in Information and Communication Technology, vol 540. Springer

Gouskov, A., Nikolaev, S., Kuts, V. et al. Analysis of displacement fields of particle shaping surface during nanoscale ductile mode cutting of brittle materials. International Journal of Advanced Manufacturing Technology, 2018, V. 95: pp. 1911-1918

Kuts, V.A., Nikolaev, S.M., Kiselev, I.A. Application of combined technique for chatter prediction in 5 -axis milling, Lecture Notes in Mechanical Engineering, 2018, pp. 683-691

V.A. Kuts, S.M. Nikolaev, S.A. Voronov, The Procedure for Subspace Identification Optimal Parameters Selection in Application to the Turbine Blade Modal Analysis, Procedia Engineering, Volume 176, 2017, Pages 56-65

Nikolaev S., Voronov S., Kiselev I. Estimation of damping model correctness using experimental modal analysis, Vibroengineering Procedia. Poland, Katowice. 2014. October 13-15. P. 50 – 55

Gouskov A.M., Voronov S.A., Ivanov I.I., Nikolaev S.M., Barysheva D.V. Investigation of Vibratory Drilling Model with Adaptive Control. Part 1: Control of cutting continuity index // Journal of Vibroengineering. 2015, V. 17, Iss. 7, P. 3702-3714

MSc in Mechanical Engineering from Bauman Moscow State Technical University, 2012

PhD in Mechanical Engineering from Bauman Moscow State Technical University, 2017