The DSNG method reduces CPU costs by more than one order of magnitude compared to high-cost simulations like LES.
In aerodynamic noise prediction, applying a synthetic turbulence reconstruction model requires minimal computational resources, making it very attractive from an industrial perspective. In this case study, the SNGR (Stochastic Noise Generation and Radiation) method was evaluated for its application in various industries for robust and efficient aerodynamic noise simulation. The SNGR method has been found to lack convergence in that it does not model the continuous energy transport characteristic of turbulent cascades. Additionally, the energy transport process significantly reduces the temporal correlation of turbulent structures, which is particularly relevant to sound radiation.
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To solve this problem, we developed a modified model called Damped Stochastic Noise Generation (DSNG) and incorporated it into FINE/Acoustics. The DSNG method reduces CPU costs by more than one order of magnitude compared to high-cost simulations like LES. In particular, it reconstructs turbulent fields and related sound sources based on cost-effective steady RANS simulations. This allows designers to efficiently utilize this method using computational resources available in the industry. Convergence tests showed that the new formulation yields fully converged results, which align well with experimental results from jet noise cases and slotted wings.
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Cadence Design Systems Japan Co., Ltd. is engaged in the development, sales, and support of electronic design tools from Cadence Design Systems in the United States, as well as design support services. We not only undertake customer designs but also provide feedback on challenges and know-how derived from our cutting-edge design experience to Cadence's R&D, enabling the development of new design methods and tools. Additionally, the development and sales of various IPs, which are key to improving design efficiency, are also one of our important activities. Furthermore, we offer a wide range of solutions, from intensive support for the early implementation of newly introduced tools to analyzing customers' current design methods, identifying issues, proposing solutions, and actually building new design methods and environments.
