Getting high-quality source characterization results is key for NVH engineers. To achieve good quality, it is essential to detect setup and signal problems and ensure the system is modeled correctly.
An artificial excitation replaces/simulates an operational excitation. It is performed by exciting with a hammer/shaker on the active component. Compared to an operational excitation, it provides an excitation with reduced complexity and with minimal secondary source contributions (e.g., test-bench noise, other system components).
With artificial excitations, you can verify your blocked force model. You can check if all relevant transfer paths are taken into account (and if the data is correctly processed).
We recommend performing artificial excitation measurements at the very beginning of the testing campaign. They should be the first measurements after building up the test setup. You use artificial excitations for two different quality checks:
An artificial excitation is a simple and noise-free simulation of an operational excitation. Practically, an artificial excitation is an excitation on the active component in a controlled (and measured) manner, e.g., with an impact hammer.
Artificial excitations can be performed in multiple ways. An efficient method consists of doing an FRF measurement in DIRAC with a hammer when the component is not switched on. You simply take your hammer and perform impacts in predefined locations and measure the data in DIRAC. This is convenient because:
Here are some recommendations for performing artificial excitations in DIRAC using a hammer:
To perform artificial excitations in DIRAC, complete the next steps:
After measuring in DIRAC, you do the post-processing in SOURCE. For artificial excitation analyses, you do not need to import any operationals because all the necessary information is stored in the FRF dataset. For this reason, you will need to use a Fluent TPA script for the analysis. (Read more about Fluent TPA here.)
To analyze the artificial excitations in SOURCE, you need to import FRF data containing the artificial excitations, the characterization FRF and the synthesis FRF. To do so, it is recommended to create in DIRAC a custom preset with the following:
To perform artificial excitation analysis in SOURCE, you must set the channel types correctly. The channels must be set as follows:
You can set the channel types directly in DIRAC by filling in the Description field for the sensors, excitations, and Virtual Points.
The artificial excitation analysis is performed in SOURCE by running a Fluent TPA script. You can find the script on the VIBES Portal. You can create a new Fluent TPA analysis and then import the script, or write it yourself, following the instructions in the picture. You then select the correct inputs (FRF dataset and channels) and compute the analysis.
For artificial excitation analysis, you only have FRF data as inputs and no operational data.
To check the quality of the model with artificial excitations, you perform an on-board validation, comparing measured data with predicted data using Component TPA.
If you have a good signal-to-noise (read the relative article here) and no setup or signal problems, the validation and measured curves must match very well.
The measured and prediction curves for on-board validation of artificial excitations must match very well. If this is not the case, there are three possible causes:
If you have followed all steps and performed all quality checks we suggest in the test-based modeling (link) and source characterization testing workflows (link), you can exclude setup and signal problems. This is because you have already checked the test setup and signal.
If you have not performed all suggested quality checks, this is the time to do so. It is very likely that the issue is caused by problems in the test setup (e.g., test setup does not match the design of experiment, wrong impact locations, wrong VP assignments, etc.) or with the signal (e.g., noise, overloads, broken/damaged sensors or channels, etc.).
If you can exclude signal and setup problems but the on-board validation for artificial excitations is still not good, then the issue are likely to be found in the model. Some possible reasons are:
It is essential to mention that getting good results with artificial excitation doesn’t guarantee that the same modeling approach can be used to also describe an operational excitation with the same accuracy. The artificial excitation is a very simple load case. And also, the operational measurements needed for characterizing operational excitations are more prone to secondary excitations. For this reason, good artificial excitation results do not directly ensure the same high quality for the operational excitations.
For this reason, a good first step consists of analyzing more than one artificial excitations, which excite different DoFs. However, it might still be the case that all single DoFs are modeled correctly, but a simultaneous excitation of multiple DoFs will not reach the same high quality.
Artificial excitations can also be used to check if the test setup is instrumented correctly and if there are issues with sensors, channels, etc. This can be done in DIRAC in Analyze, checking the ODS of the artificial excitations at low frequency. When playing the ODS, all sensors should move consistently. If that is not the case, you should investigate the cause.
You can find more information about checking ODS in the relevant article.
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