Laboratory of Cyber Physical Systems

Skolkovo
Institute of Science
and Technology

The Laboratory of Cyber-Physical Systems explores the development and application of a set of tools and the methodology of Product Life Cycle Management of complex technical products, industrial processes for implementation at all stages of their life cycles. Methods of mathematical modeling and optimization are at the core of our tool-kit. The arsenal of Big Data, Machine Learning, agent-based modeling, IoT, 3d scanning methods are parts of the laboratory’s portfolio of tools for research and industrial projects.

Prescriptive analytics of dynamic hardware - the development of hardware diagnostic models for analysis and prediction of its technical condition

Digital twins of production systems - the design of integrated digital models that behave in the same manner as the real facilities, including their equipment and personal behaviors

Lightweight materials and structures - the development and production of new technologies and materials for aerospace and construction industries

Optimization of technological processes in industrial production- the design of the technological processes’ digital twins by means of hybrid modeling to optimize production and improve product quality

Technical systems design by means of dynamic functional modeling - development of digital twins for real-time simulation in order to reduce cost, time and risks of design and testing of complex technical systems

Our team

Andrei Onikii

Research Program Manager

Gennady Rudenskiy

Chief Design Engineer

Our Research and Development Projects, Grants

”Digital twin” methodology development, hybrid modeling and model verification using advanced digital techniques. Concentration on the Systems-Driven Product Development methodology and tools.

Development of subsystems of the pre-scriptive diagnostics system of the "Lastochka" electric train technical condition

Development of prescriptive analytics system for gas-turbine engine

Our education

Project-based cross-disciplinary courses

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Master's thesis and alumni employment

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Student projects

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Вернуться к вариантам пространств

Project-based cross-disciplinary courses

Introduction to PLM
Basic course for 1st year MSc students devoted to PLM as applied to product development. Basic theory about CAD/CAE,MBSE, PLM, optimization is given during the lectures. Practical classes are dedicated to real model-based product development process. System high-level models are filled with physical parameters using functional modeling. Then preliminary 3D analysis of aerodynamics and structural analysis is performed. Thus, during the course students go through all the main stages of complex system development process.
Advanced PLM I: Digital Design and Optimization
This course is dedicated to the end-to-end design methodology, based on the PLM approach. During the course students will develop small unmanned aerial vehicle with deployable wings. The design includes: concept development, conceptual design, systems engineering, 3D physical simulation (CFD and FEM), parametric and topology optimization, final solid design. Educational process is focused on teamwork in this course. Siemens Teamcenter PLM platform is used as to provide interaction within students workgroup. The course provides students with a theoretical and practical basis for implementing projects devoted to the design of complex technical systems, such as unmanned aerial vehicles.
Advanced PLM II: Product Prototyping
During the course, students should develop the technology for small unmanned aerial vehicle (UAV) prototype production. Educational process includes manufacturing technology development, prototype production, prototype testing, model validation. During the course, students learn how to use special software Simcenter 3D, LabView, 3D printers’ software, test machines. The course provides students with a theoretical and practical basis for advanced manufacturing of complex systems, such as UAV and forms the final understanding of the product lifecycle management.
Advanced PLM III: Testing and Model Validation
This course is final course in PLM series and is devoted to the different types of testing and numerical models verification. Students learn how to perform vibrational and modal testing in order to identify dynamic parameters of given structure. The modal testing is performed using laser scanning vibrometry. The results of modal and vibrational testing are used for finite-element model validation and updating for accurate dynamics simulation. Also, so called Hardware-in-the-Loop (HiL) testing is important part of the course. The idea of HiL is to upload the functional model of investigated system to real-time PCB and test it in combination with physical parts. During the course students perform a number of tests with the system that was designed and prototyped during courses Advanced PLM I and Advanced PLM II. Finally, the results are used for system model validation.
Production System Design and Optimization
Methodology and Tools for Production Systems

Our facilities

Available experimental and computational
capabilities and equipment

Our partners

Our startups

Project-based cross-disciplinary courses

More Information

Master's thesis and alumni employment

More Information

Student projects

More Information

Вернуться к вариантам пространств

Project-based cross-disciplinary courses

Introduction to PLM
Basic course for 1st year MSc students devoted to PLM as applied to product development. Basic theory about CAD/CAE,MBSE, PLM, optimization is given during the lectures. Practical classes are dedicated to real model-based product development process. System high-level models are filled with physical parameters using functional modeling. Then preliminary 3D analysis of aerodynamics and structural analysis is performed. Thus, during the course students go through all the main stages of complex system development process.
Advanced PLM I: Digital Design and Optimization
This course is dedicated to the end-to-end design methodology, based on the PLM approach. During the course students will develop small unmanned aerial vehicle with deployable wings. The design includes: concept development, conceptual design, systems engineering, 3D physical simulation (CFD and FEM), parametric and topology optimization, final solid design. Educational process is focused on teamwork in this course. Siemens Teamcenter PLM platform is used as to provide interaction within students workgroup. The course provides students with a theoretical and practical basis for implementing projects devoted to the design of complex technical systems, such as unmanned aerial vehicles.
Advanced PLM II: Product Prototyping
During the course, students should develop the technology for small unmanned aerial vehicle (UAV) prototype production. Educational process includes manufacturing technology development, prototype production, prototype testing, model validation. During the course, students learn how to use special software Simcenter 3D, LabView, 3D printers’ software, test machines. The course provides students with a theoretical and practical basis for advanced manufacturing of complex systems, such as UAV and forms the final understanding of the product lifecycle management.
Advanced PLM III: Testing and Model Validation
This course is final course in PLM series and is devoted to the different types of testing and numerical models verification. Students learn how to perform vibrational and modal testing in order to identify dynamic parameters of given structure. The modal testing is performed using laser scanning vibrometry. The results of modal and vibrational testing are used for finite-element model validation and updating for accurate dynamics simulation. Also, so called Hardware-in-the-Loop (HiL) testing is important part of the course. The idea of HiL is to upload the functional model of investigated system to real-time PCB and test it in combination with physical parts. During the course students perform a number of tests with the system that was designed and prototyped during courses Advanced PLM I and Advanced PLM II. Finally, the results are used for system model validation.
Production System Design and Optimization
Methodology and Tools for Production Systems

Publications

Synergy of engineering science and digital technologies aimed at the development of a simulation-driven digital twins

Hybrid Data-Driven and Physics-Based Modeling for Gas Turbine Prescriptive Analytics.

S. Belov, S. Nikolaev, I. Uzhinsky. Int. J. Turbomach. Propuls. Power
DOI:10.3390/ijtpp5040029

Residual Life Prediction of Gas-Engine Turbine Blades Based on Damage Surrogate-Assisted Modeling.

B. Vasilyev, S. Nikolaev, M. Raevskiy, S. Belov, I. Uzhinsky. Appl. Sci.
DOI:10.3390/app10238541

Optimal milling modes identification of a jet-engine blade using time-domain technique.

Nikolaev, S., Kiselev, I., Kuts, V. Int J Adv Manuf Technol
DOI:10.1007/s00170-020-05129-9

Numerical simulation of sintering for 3D-printed ceramics via SOVS model.

Safonov, A., Chugunov, S., Tikhonov, A., Gusev, M., & Akhatov, I. Ceramics International.
DOI:10.1016/j.ceramint.2019.06.144

Analysis of displacement fields of particle shaping surface during nanoscale ductile mode cutting of brittle materials.

Gouskov, A., Nikolaev, S., Kuts, V. et al. International Journal of Advanced Manufacturing Technology
DOI:10.1007/s00170-017-1233-x

Optimal milling modes identification of a jet-engine blade using time-domain technique.

Nikolaev, S., Kiselev, I., Kuts, V. Int. Journal Advanced Manufacturing Technologies
DOI:10.1007/s00170-020-05129-9

Review all our publications

Contact

e-mail: cps@skoltech.ru

phone: +7 (495) 280-1481_ext.3213

address: 30с1 Bolshoi boulevard, Skolkovo, 121205, Russian Federation