ǂA ǂdurability prediction for the magnesium alloy AZ31 based on plastic and total energy

Jernej Klemenc (Author), Domen Šeruga (Author), Marko Nagode (Author)

Abstract

Magnesium has a good strength-to-weight ratio. As a result, magnesium alloys are gradually becoming an integral part of lightweight designs that are especially important to the automotive and aerospace industries. The magnesium alloy AZ31 is particularly suitable for forming. Furthermore, as its cyclic response is asymmetric, the accumulated energy during loading is a convenient basis for durability predictions of a product that is made of the AZ31 alloy. In this article, we show how the inverse-power law model can be combined with a Weibull%s probability density function to describe the shape of the fatigue-life curves and their scatter. Various load histories were chosen to characterize the response of the AZ31 alloy under different cyclic loadings. Both the plastic and the total strain energy densities were calculated for all the load histories, and then, a suitable dependence in terms of energy fatigue-life curves was determined. The proposed model is appropriate for modeling the low-cycle fatigue life of the AZ31 alloy. With the application of a linear damage-accumulation rule, it is also possible to predict the fatigue life for the non-constant amplitude loading within one decade of accuracy.

Keywords

magnezijeva zlitina AZ31;doba trajanja;gostota energije specifične deformacije;Weibullova gostota porazdelitve verjetnosti;magnesium alloy AZ31;fatigue life;strain-energy density;Weibullʼs probability density function;

Data

Language:	English
Year of publishing:	2019
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	669.721.5:620.178.3(045)
COBISS:	16772379
ISSN:	2075-4701
Views:	753
Downloads:	436
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	magnezijeva zlitina AZ31;doba trajanja;gostota energije specifične deformacije;Weibullova gostota porazdelitve verjetnosti;
Type (COBISS):	Article
Pages:	f. 1-16
Volume:	ǂVol. ǂ9
Issue:	ǂiss. ǂ9
Chronology:	Sep. 2019
DOI:	10.3390/met9090973
ID:	11214250