Conclusion

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The testing of the F9-model heavily depended on the run-time data evaluation system. Without this system some necessary adjustments of the experiment would probably not have been taken within the first test period. Therefor the run-time evaluation had a large share in the success of the tests. Presently the human-in-the-loop is required due to the new nature of the CCSB approach. Test engineers have to decide on the fly whether the flow meets the design criteria of the experimental setup. However, the DeAs 1 wind tunnel data acquisition and control system is prepared to accept parameter control from virtual devices. Thus, once the selection criteria may be expressed algorithmically or by some sort of an expert system, optimization of flow parameters in such complex experimental settings may well become an automatic process. Today, the complexity of the experiment suggests a permanent human interaction. Due to the convenient wind tunnel control system, as well as the fast and elaborate data processing system, decisions are available in the amount ot time it takes to adjust the wind tunnel to a new set of flow parameters. Thu, the experiment is not slowed down by human interaction. On the other hand, the run-time data evaluation ensures a fast approach to the design point, avoids many unnecessary tests, and provides a valuable, advanced check for errors in an early phase of the experiment.