Fluid Dynamic and Acoustic Optimization Methodology of a Motorbike Intake Airbox Using Multilevel Numerical CFD Models and Experimental Validation Tests 2013-24-0070
In this work a multilevel CFD analysis have been applied for the design of an intake air-box with improved characteristics of noise reduction and fluid dynamic response. The approaches developed and applied for the optimization process range from the 1D to fully 3D CFD simulation, exploring hybrid approaches based on the integration of a 1D model with quasi-3D and 3D tools. In particular, the quasi-3D strategy is exploited to investigate several configurations, tailoring the best trade-off between noise abatement at frequencies below 1000 Hz and optimization of engine performances.
Once the best configuration has been defined, the 1D-3D approach has been adopted to confirm the prediction carried out by means of the simplified approach, studying also the impact of the new configuration on the engine performances. The calculations have been further validated by an extensive experimental campaign carried out not only on the test bench for engine performance analysis but also on an acoustic test bench developed by the University of Florence. The experimental acoustic characterization is based on the Multi-Microphone Technique, which guarantees a wider reliable frequency range of analysis and lower errors in the evaluation of the acoustic properties of the examined devices (such as mufflers or intake lines, etc.).
Results of the calculations on both the baseline and optimized configurations have been compared to the measured acoustic performance carried with null flow conditions showing an encouraging agreement.
Citation: Montenegro, G., Della Torre, A., Cerri, T., Lenzi, G. et al., "Fluid Dynamic and Acoustic Optimization Methodology of a Motorbike Intake Airbox Using Multilevel Numerical CFD Models and Experimental Validation Tests," SAE Int. J. Engines 6(3):1731-1744, 2013, https://doi.org/10.4271/2013-24-0070. Download Citation
Gianluca Montenegro, Augusto Della Torre, Tarcisio Cerri, Giulio Lenzi, Andrea Fioravanti, Paolo Badalassi, Francesco Maiani
Politecnico di Milano, University of Florence, Piaggio & C SpA
11th International Conference on Engines & Vehicles
SAE International Journal of Engines-V122-3, SAE International Journal of Engines-V122-3EJ