Detektion und Evaluation von Inhomogenitäten im Volumen und an inneren Grenzflächen in polymeren Isoliersystemen mittels Ultraschall
TL;DRAbstract
In this thesis, the appliance of ultrasonic diagnostics for the condition assessment of polymeric insulation systems is investigated. Especially, singular flaws in the insulation volume and inhomogeneities at inner material interfaces are regarded including a relevant risk potential concerning the isolation capability. The detection of such inhomogeneities and the evaluation of parameters that affect the risk potential like sizing of a singular flaw or determination of a delamination at an inner boundary are not well investigated yet. This thesis presents methods for the detection and evaluation of the inhomogeneities described above. An ultrasonic measurement system is used that allows automated measurements applying the immersion technique with water as acoustic coupling material. The data processing and interpretation of the measurement results are done with the developed software DISCUS. The reference block method is suited for sizing a detected and localised flaw. By evaluating th
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In this thesis, the appliance of ultrasonic diagnostics for the condition assessment of polymeric insulation systems is investigated. Especially, singular flaws in the insulation volume and inhomogeneities at inner material interfaces are regarded including a relevant risk potential concerning the isolation capability. The detection of such inhomogeneities and the evaluation of parameters that affect the risk potential like sizing of a singular flaw or determination of a delamination at an inner boundary are not well investigated yet. This thesis presents methods for the detection and evaluation of the inhomogeneities described above. An ultrasonic measurement system is used that allows automated measurements applying the immersion technique with water as acoustic coupling material. The data processing and interpretation of the measurement results are done with the developed software DISCUS. The reference block method is suited for sizing a detected and localised flaw. By evaluating th
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