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Troels Dyhr Pedersen.indd - Solid Mechanics

Troels Dyhr Pedersen.indd - Solid Mechanics

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The SPL of the cylinder pressure, the acceleration level and the acoustic SPL can be<br />

calculated in short intervals and presented as in figure 15:<br />

Figure 15: Time domain representation of the SPL of the cylinder pressure, the engine acceleration<br />

level and the acoustic sound pressure level<br />

Here the SPL is expressed in dB. The red line represents the cylinder SPL which is seen<br />

to increase by more than 50 dB after combustion. The acceleration level (white line)<br />

increase by a similar dB value and is generally coherent with the cylinder pressure SPL.<br />

The acoustic signal (green line) also increases but remains at a higher level. As<br />

mentioned, the acoustic signal originates from the cylinder block resonance which is not<br />

properly measured by the accelerometer, and these vibrations are present much longer<br />

than the higher frequencies which tend do be attenuated fast.<br />

The time domain representation is useful to show the signal amplitude in time and how it<br />

is attenuated. It is however not possible to determine which frequencies are present in the<br />

signal. This may instead be visualized in with the frequency domain representation.<br />

11.6.4 Frequency domain representation<br />

To evaluate the frequency content in a discretely sampled signal, a DFT algorithm is<br />

used. The specific algorithm commonly applied is called Fast Fourier Transform (FFT).<br />

In the analysis, the frequency range from 0 Hz to the Nyquist frequency is split up into a<br />

number of equally spaced intervals. The number of intervals is equal to the sampling<br />

frequency divided by the number of samples, so that the frequency resolution becomes:<br />

f s Δ f =<br />

N s<br />

Usually the number of samples Ns is required to be a power of two (2, 4, 8, 16 etc). It is<br />

desired to have a short sample length in which the signal can be considered stationary.<br />

The sampling frequency is however very high, which implies that a large number of<br />

samples is also required to obtain an acceptable frequency resolution. To limit the sample

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