Lanyi F, Kunzelmann P, Schubert DW (2016)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2016
Book Volume: 365
Pages Range: 194-20
Journal Issue: 1
URI: https://onlinelibrary.wiley.com/doi/pdf/10.1002/masy.201650010
In modern industrial production lines various process and materialparameters determine the properties of the final product. Thus, a process optimizationprocedure has to take into account a large design space containing several parameters. Asa consequence, the evaluation of the influenceofsingleprocessparametersonthefinalproduct properties can be quite complicated.Usually a certain property of a product, forexample the mechanical strength, has to satisfy a defined specification. In terms ofquality control not only the performance of the material but also the reliability of thespecified values has to be considered. The Weibull statistic gives an interesting approachto evaluate both, material’s performance and reliability. Regarding the mechanicalproperties e.g. in terms of the stress at breaksbthe Weibull analysis leads to acharacteristic failure constantsb,0at which 63.2 % of the samples will break. Additionally,the Weibull modulus m can be regarded as a measure for the width of the distribution ofthe measuring results. High values of m represent a narrow distribution and thus a betterreliability. Moreover, the Weibull modulus m is independent of the absolute value of themeasuring data. Therefore, it is possible to compare samples produced under differentconditions. The standard deviation and the interquartile range are often used to quantifythe scatter of empirical data. It is shown within this work that the Weibull modulus m canbeamoreprecisediscriminatorfortheevaluation of the reliability because it is ratherstable against outlaying values. As an example this study concentrates on the mechanicalproperties of melt spun fibresconsisting of blends from polypropylenes with differentmolar masses produced under various process conditions. This work presents a novelchart which allows one to compare different samples on the basis of the Weibull statisticswhereat the Weibull modulus m is plotted oversb,0. Defining a reference material, them-sb,0-map can be split into quadrants, whereat each quadrant designates animprovement or worsening of material’s performance and reliability with respect to thereference. An evaluation in terms of performance and reliability of great sets of data iseasily applicable. It will be shown that the Weibull statistic can also be applied to Young’sModulus, the elongation at break and the tensile energy absorption
APA:
Lanyi, F., Kunzelmann, P., & Schubert, D.W. (2016). Novel Chart for Representation of Material Performance and Reliability. Macromolecular Symposia, 365(1), 194-20.
MLA:
Lanyi, Franz, Peter Kunzelmann, and Dirk W. Schubert. "Novel Chart for Representation of Material Performance and Reliability." Macromolecular Symposia 365.1 (2016): 194-20.
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