2019
DOI: 10.3139/o999.01012019
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Data set generation for lifetime assessment of short fibre reinforced polymers

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Cited by 2 publications
(4 citation statements)
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“…Figure 11. Evaluation of the normalized tip-modulus s E , dynamic modulus dyn E and temperature T. These two curves can be easily implemented in a data set [32] and enable the consideration of stress-rearrangement in a stress based lifetime assessment, according Figure 1, as well as a prediction following strain based approaches.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 11. Evaluation of the normalized tip-modulus s E , dynamic modulus dyn E and temperature T. These two curves can be easily implemented in a data set [32] and enable the consideration of stress-rearrangement in a stress based lifetime assessment, according Figure 1, as well as a prediction following strain based approaches.…”
Section: Resultsmentioning
confidence: 99%
“…Based on the test results, a data set for the lifetime estimation according to Figure 1 can be determined. The general approach for data set determination is described in [30]. To show the influence of the extraction position and therefore of the fiber orientation on the result on the data set, each possible combination of two positions is evaluated and compared to each other.…”
Section: Data Set Determinationmentioning
confidence: 99%
“…To be able to compare the actual stress to the bearable stress (stress which can be applied to reach a certain lifetime or cycles to failure), test data must be stored in some way. Primetzhofer describes in [30] a systematic approach to test and store data for the stress based lifetime estimation. In this study, the authors also describe the influence of different specimen types on the data set determination.…”
Section: Introductionmentioning
confidence: 99%
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