Visualized vibrations using Sorama’s Acoustic Camera helps Demcon modelling simulations


In this video, we will show how Engineering Simulations strengthen the ability of the Sorama Acoustic Camera to optimize your product. An acoustic camera can quickly measure vibrations
and resonances in a non-invasive way. This means, no instruments are attached to
the objects, which may influence the dynamic behavior of the product. Engineering simulations provide a powerful
method of generating insight in physical behavior of your product. Moreover, it gives the ability to predict
the behavior of design iterations before prototyping. This accelerates the design process significantly. It is important to rely on accurate models
to optimize your product when using engineering simulations. The acoustic camera identifies critical places
of your product by gaining valuable information. This information is used as input for setting
up the simulation model and it also validates it. Based on the setup using Chladni plates on
a shaker this is further illustrated. Measurements are performed with the Sorama
acoustic camera and sound is predicted by Engineering simulations. Their results are compared. For the actual measurements, the acoustic
camera is placed at 3 cm distance from the rectangular plate. The shaker is excited from 200 Hz to 20 kHz
in 10 seconds. It sounds like this: At several frequencies along the way, the
sound level is increased due to resonance of the plate. This is what we are looking for. An Engineering Simulation requires a geometric
model of your product, in this case the shaker and the plate. In addition, proper conditions are assigned
to represent the source of vibrations together with the propagation of sound. For example: there is a translating vibration
of the shaker pin which is connected to the center of the plate. The vibrating plate radiates sound to its
environment. As seen before, at certain frequencies, resonance
occurs. We would like to identify these frequencies. For a more clear comparison, we could use the frequency spectrum, which is obtained by taking an average over
the complete measurement duration. Now we can compare the measured resonance
frequencies, with the ones we simulated. The dominant peaks are matching well. For understanding how sound is generated,
we can visualize the dynamic behavior, or plate modes, as we call them. Plate modes are obtained from the simulation,
and also from measurements with the acoustic camera. For each resonance frequency, you will see
there is a different plate mode. As you can see there is a good match for the
plate modes. This means that both the numerical simulation
and the measurements are matching well and the simulation models are
reliable for generating predictions.

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