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The main focus of this work is simulation-driven product development methodology for MSc students education. The educational process is built around real product development process; small Unmanned Aerial Vehicle is used as a case-study. The bunch of simulation and optimization tools (NX CAD, Simcenter 3D, LMS System Synthesis, LMS Amesim, ANSYS, STAR-CCM) is used in the educational process for creating so-called digital twin of a real product and to achieve the continuity and transparency of the development process. Product Lifecycle Management (PLM) system is used to manage requirements, changes and integrate all simulation results. The global trend in engineering education is in the transition from the training of narrowly specialized engineers for high-tech industries. In the new reality, the industry needs specialists with broad knowledge and system thinking, which are able to solve problems that require cross-disciplinary expertise. These specialists should be able to use the most advanced methods and tools of numerical simulation, optimization, product lifecycle management, configuration management, advanced manufacturing techniques. The aim is to enhance the classical methodology for systems engineering with a digital environment in order to develop an MSc level courses teaching latest practices for innovative product design based on real case problems. A modeling of the system to be developed enables the comprehensive analysis and its quantitative assessment. Such approach demonstrates both a thorough investigation of a problem and quantitative estimation of the systems efficiency.

Innovative product development involves a lot of tools, methods, and approaches to create a better product faster and satisfying customers need. Two wide spread approaches are Product Lifecycle Management (PLM) and Model-Based Systems Engineering (MBSE). However, there are not many software tools, combining methodologies PLM MBSE; one can mention LMS System Synthesis software, now is actively developing. It is used to create system models which include functional models able to describe system behavior in multiphysics domain. Therefore, when the system model of a product is multidisciplinary its not obvious what the parameters values describe the optimal state of the system. For these reasons, it is vital to apply multidisciplinary optimization techniques with the specific tools to calculate appropriate parameters of the developed system in the early stages of product development. This research is devoted to different optimization tools application, such as pSeven and Optimus Noesis, to the numerical models constituting digital twin for a small Unmanned Aerial Vehicle (UAV). The results of this research, specifically formulation of the optimization problems, detailed numerical models and the calculations results, are presented in this paper. The main idea is that optimization should be applied not as additional tool for separate numerical models, but one has to apply it as a powerful means along with PLM and MBSE tools in order to ensure that the product will meet all requirements and reduce time-to-market.

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