Abstarct: Hydrodynamic cavitation in high-flow hydraulic machinery, such as propellers, water turbines, pumps, and diesel injectors, is inevitable. Therefore, evaluating the risk of cavitation erosion, whether through numerical methods (CFD) or experimental techniques, is essential during the design process. In CFD-baxsed cavitation erosion risk assessment, a single cavitation model cannot be applied in numerical analyses of cavitating flows, as changes in geometry and flow components can alter the choice of model. In the experimental approach, a significant challenge is the lack of efficient techniques for rapidly detecting cavitation collapse (on the microsecond scale), coupled with the extremely slow erosion process (taking several days). A promising solution to this issue is identifying parameters that can be detected quickly and that have a logical and effective correlation with erosion. One such important parameter is the sound pressure level (SPL) generated by cavitation. For this purpose, baxsed on the technical specifications of the K23 tunnel, a converging-diverging channel has been designed to reduce the pressure at the measurement section below the vapor pressure, thus enabling bubble formation on the sample surface. Four bluff bodies have been used in this channel as the most effective method for accelerating cavitation formation. For the first time, an optimized configuration of piezoelectric elements has been determined using CFD analysis. In the present study, the cavitation erosion threshold can be identified through SPL pattern recognition without the need for several days of testing. Another advantage of this method is that, due to the use of piezoelectric elements attached to the bottom of the channel at the vapor volume fraction location, the pattern and relationship between acoustics and erosion are independent of the geometry and dimensions of the water tunnel. Therefore, the obtained relationship remains valid even when the experimental conditions change.