Software for post-process measuring systems

Mara Hofacker,

Measurement and evaluation software for dynamic tasks

Blum-Novotest, a provider of measurement and testing technology, is focusing on its new M4P measurement and evaluation software at the Control trade fair. The software was specially developed for the company's post-process measuring systems and can now be used for even more demanding tasks thanks to its up to 100 times higher total sampling rate.

The newly developed M4P measuring and evaluation software was developed specifically for Blum-Novotest's post-process measuring systems. © Blum-Novotest

With the new M4P measurement and evaluation software, which has been specially developed for dynamic measurement tasks, Blum-Novotest offers a software solution that also fulfills the test process suitability and measurement uncertainty assessment according to VDA Volume 5 of the German Association of the Automotive Industry. The software is fully compatible with the standard statistical software solutions from Q-DAS. Measurement data can be output as an AQDEF file and contains all the necessary K fields specified by the automotive standard.

The M4P measuring software displays current target and actual values including bar graphs and the trend of the measured values. © Blum-Novotest

Another detail is the intelligent calculation algorithms. For each measured value, the measurement uncertainty must be taken into account, for example due to temperature fluctuations, probing influences or dirt. If the measurement uncertainty is 1 µm with a tolerance of 10 µm, there is effectively only a remaining tolerance of 9 µm available for production. The difficulty now lies in determining this measurement uncertainty exactly for each feature, as it can vary. This is particularly important for dynamic diameter measurements, as the axis of rotation must also be compensated for. Taking the measurement uncertainty into account and the improved correction strategy lead to greater process stability.

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Another new feature is the box plot view, which allows critical features to be distinguished from stable features at a glance - even if a large number of features are present. For example, when measuring a brake disk, 15-20 probes are used simultaneously to record the measured values, from which up to 100 features are generated in the evaluation. Of course, not only absolute dimensions, but also form and position deviations are stored for each component in an individual measurement report. Thanks to the dynamic display and highlighting of process-critical features, the operator recognizes unwanted deviations or trends immediately and can take appropriate countermeasures.

Control, Hall 3, Stand 3406

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