- Reliable acoustic particle velocity data
- Real time visualization of all relevant acoustic data
- One point methodology
- Full bandwidth
- Large dynamic range
- Low susceptibility to background noise
- Visualization of transients
- Free configuration of measurement grid
- Multi purpose tool
- Intuitive approach
Reliable acoustic particle velocity data
The PU probe based acoustic camera can be used for acoustic
near field measurements.
Any sound field is described by two complementary acoustic properties, the
scalar value 'sound pressure' and the vector value 'particle velocity'.
In the acoustic near field, acoustic particle velocity is the dominant acoustic
property.
Only as the sound field reaches the acoustic far field, sound pressure and
particle velocity becomes
of equal level.
The Microflown sensor is the only transducer available capable of measuring the
acoustic particle velocity.
Combined with a 1/10'' sound pressure transducer, a PU probe measures in one
single spot both required acoustic quantities.
Thus the PU probe based acoustic camera is the only sound field visualization
method that can measure directly these two physical properties
close to the surface of the sound source.
Based upon these two measured quantities, acoustic properties like sound
intensity, sound energy and acoustic impedance can be computed easily.
All other near field (and far field) sound field
visualization techniques try to compute the acoustic particle velocity
out of sound pressure data captured at a certain distance from the
surface of the sound source.
But with sound pressure being a scalar value with low dynamic range and acoustic
particle velocity being a vector value with high dynamic range, these problems
are inevitably ill posed.
Whilst applying these other techniques, many assumptions have to be made that
are often not met in practice.
But even under the most ideal laboratory conditions, the reconstruction of
acoustic particle velocity out of sound pressure data can result in errors up to
30dB, as proven in a peer reviewed JASA paper.
Real time visualization of all relevant acoustic data
The PU acoustic camera captures in each PU measurement point both the sound
pressure and the acoustic particle velocity. From here, acoustic quantities like
sound intensity, acoustic impedance and sound energy can be calculated using
straightforward algorithms. The low CPU time required for these simply
algorithms allows real time visualization.
One point methodology
The PU probe methodology only needs one single measurement
point to be taken in order to determine both acoustic properties at a certain
position.
Contrary, both near field holography, HELS- and far field beam forming methods
intrinsically require upfront a larger number of spatially distributed
sound pressure measurement points to be taken, even if the acoustic properties
at one certain position are expected to be of interest.
Thus the quick PU probe methodology lowers the user entry barriers for
troubleshooting.
Full bandwidth
The PU acoustic camera covers the entire audio bandwidth,
whereas other methods (e.g. near field holography or far field beam forming)
cover only a part of the relevant frequency range. But also infrasonic and
ultrasonic frequencies can be measured under certain specific circumstances.
Large dynamic range
The dynamic ranges of beam forming and near field
holography are usually not exceeding 5dB and 20dB.
The PU probe based acoustic camera easily exceeds 45dB, the upper limitations
still to be explored.
Low susceptibility to background noise
Acoustic particle velocity sensors are far less susceptible
to background noise than sound pressure transducers, reducing the need for
measurements in an anechoic environment to a very large extent. As described in
the Forum Acusticum paper up to 40dB less sensitivity to background noise can be
expected.
The same can be expected for PU sound intensity measurements that are also a vector
value with a figure of eight characteristic.
The use of traditional p-p based sound intensity probes is practically
impossible due to the intrinsic susceptibility to the prevailing pressure
intensity index.
Visualization of transients
The PU acoustic camera allows the analysis of transients, such as doorslams,
combining high sample rate data acquisition tools with slow motion post
processing techniques.
Free configuration of measurement grid
The PU probe methodology allows a completely free
configuration of the measurement point positions in the measurement grid. There
are no requirements on the number of sensors per frequency wavelength. A finer
mesh of PU probes can be placed at the position of interest, e.g. an expected
acoustic hot spot, providing the right trade off.
Multi purpose tool
The PU probe based acoustic camera is a multi purpose tool
with a reversed system cost structure as compared to other sound source
visualization methods. The same PU probes used for the direct visualization of
the relevant properties can also be used but for holography with acoustic
reconstruction when this still would be required. PU probe based sound field
reconstruction techniques require significantly lower number of measurement
points to be taken.
The very same PU probes placed in a fixed grid for the
acoustic camera can also be used for different types of arrays, e.g. distributed
arrays for interior noise problems. Driven by the high value PU probe, the cost
structure of the complete system is reversed and lowered. The PU probe
methodology requires a relatively low number of data acquisition channels and
straightforward (and thus affordable) sound field visualization software.
Near
field and far field sound source visualization techniques are based upon large
numbered data acquisition channels and complicated (and notably dedicated)
software routines. They take the major share of the total system investment
costs as compared to the low cost (no class A) electrets microphones are used to
stay with budget limitations.
Intuitive approach
The PU probe methodology is highly intuitive; the
consequences can be overseen easily without a thorough background in all sorts
of assumptions and mathematical routines of other methods.
There is direct feedback from the impact of changes
in design or operating conditions.
Key papers
-
Near Field
Acoustic Holography with particle velocity transducers,
Finn Jacobsen and Yang Liu, JASA 118(5), November 2005, pp 3139-3144
-
The Microflown, a novel approach to helicopters
interior noise testing, Antonio
Vecchio et al, IMTC 2006
-
A particle velocity sensor to measure the sound
from a structure in the presence of background noise,
H-E. de Bree, W.F. Druyvesteyn, Forum
Acousticum 2005
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