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MultiObjective Design of Turbomachinery Coupled CFD & FEA for Turbomachinery Aerodynamics, Hydrodynamics and Hydraulics, Thermodynamics, Acoustics and Vibration, Fatigue

MultiObjective Design of Turbomachinery Artificial Intelligence Analysis FEA|CFD & AI Integration

Optimizing the simulation driven design of turbomachinery such as compressors, turbines, pumps, blowers, turbochargers, turbopumps, centrifugal compressors, radial turbines, hydraulic turbines, low speed to transonic fans and torque converters offers enormous potential. EnteknograteΓÇÖs engineering team performs all stages of design and optimization of turbomachinery at the 1D, 2D and 3D levels including 3D blade design, FEA and CFD analysis.

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MultiObjective Design of Turbomachinery, Integrated FEA|CFD with Artificial Intelligence

Heat Transfer Simulations for Turbomachinery

Most machines, such as high-heat turbines (gas and steam), boilers, and combustors for example, require strict control of thermal stresses and expansions. Due to the very particular nature of heat transfer, establishing this control can be both tedious and time consuming. With using CFD tools such as Ansys Fluent, Siemens Star-ccm+ and FEA Tools such as Abaqus, Nastran and LS-DYNA, with experienced engineers, we can calculate parameters of heat transfer between components.

By accurately modeling the behavior of fluids and heat transfer within the system, our engineers can identify potential hotspots and areas of thermal stress, make informed decisions about materials selection, cooling strategies, and optimize component designs to minimize these issues.

Cognitive FEA: Machine Learning-Predictive Structural Integrity

Simulation Dynamics
Heat Transfer Simulations for Turbomachinery, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
MultiObjective Design of Turbomachinery: Heat Transfer Simulations for Turbomachinery

Turbine, Pump & Compressor

Designing turbomachinery components such as axial turbines, axial pumps, centrifugal compressors, centrifugal pumps, and mixed flow compressor/turbine requires a deep understanding of fluid dynamics, thermodynamics, and mechanical engineering principles. By leveraging CFD and FEA tools, it is possible to optimize designs for improved performance, efficiency, and reliability.

Axial turbines convert the energy of a fluid into rotational energy, while axial pumps do the opposite, converting rotational energy into fluid flow. Centrifugal compressors increase the pressure and density of a gas by imparting kinetic energy through the use of a rotating impeller. Centrifugal pumps use a similar mechanism to move fluids from one location to another. Mixed flow compressor/turbines combine features of both axial and centrifugal designs to provide a unique combination of performance characteristics.

By using CFD and FEA tools, it is possible to design these components with a wide range of features, including pre-loaded profiles, prismatic or twisted blades, multiple extractions/injections, inter-stage heat exchangers, Curtis & Rateau stages, impulse & reaction designs, drilled and reamed nozzles, and partial admission. This allows for a high degree of customization and optimization to meet the specific needs of each application.

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Simulation Dynamics
Turbine, Pump & Compressor, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
MultiObjective Design of Turbomachinery: Turbine, Pump & Compressor

Turbomachinery Generative Design

Generative design is a powerful approach to optimizing complex geometries for turbomachinery components. By leveraging advanced simulation tools such as Star-ccm+, Ansys Fluent, and Numeca Fine/Turbo, Simulation Dynamics engineering team can compute sensitivities of the geometry with respect to given targets such as total pressure loss and velocity uniformity, and modify the geometry accordingly.

Generative design involves the use of algorithms to generate and test many different designs, selecting the best ones based on specific criteria. By iterating through many different designs, the algorithm can quickly identify the most promising options, refining the design with each iteration.

In the context of turbomachinery, generative design can be used to optimize complex geometries such as blade profiles, inlet and outlet shapes, and other components. By using simulation tools to evaluate the performance of each design iteration, the algorithm can quickly identify the best designs for a given set of objectives.

Multiphysics AI: Simulate Fluids, Structures, & Electromagnetics

Simulation Dynamics
Turbomachinery Generative Design, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
MultiObjective Design of Turbomachinery: Turbomachinery Generative Design