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EN
Growing modeling software capabilities together with available computational resources enable the modeling of more and more complex multi-physical problems. At the same time, the preparation of such simulation requires a collaboration of both engineers and software. Multidisciplinary Design Optimization (MDO) platforms are used to integrate simulation tools and expert knowledge that represents various engineering disciplines. The presented study demonstrates an effective use of a specialized CFD program and an MDO platform the SORCER Modeling Framework (SMF) for the automation and optimization of the design of a flapping wing bionic object. The SMF realizes an optimization loop by using independent blocks prepared using ANSYS Workbench. An unsteady flow generated by the prescribed flapping wing trajectory is simulated. A number of geometrical and physical parameters is defined in the SMF model and then transferred to the slave blocks of the CFD program. An automated ANSYS workflow generates a geometry of computational domain, realizes it's proper meshing, initializes and performs the simulation, and finally passes the results to the SMF. The proposed system is an example of usage of the SMF that demonstrates the connection of specialized knowledge and a complex CFD simulation with simple and efficient control.
EN
A methodology and tool that allows evaluating and quantifying aero engines design trade-offs originated as a consequence of addressing conflicting objectives such as low environmental impact and low operating costs is presented, and applied to a general case study to assess the feasibility of using new highly efficient engine configurations: intercooled-recuperated (ICR) engines. The case study results show that according to the ICR systems performance (heat exchangers effectiveness, pressure losses, and weight penalty) they could find usage in practical applications.
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