Short-Time Fatigue Life Estimation for Heat Treated Low Carbon Steels by Applying Electrical Resistance and Magnetic Barkhausen Noise

Abstract

Tensile tests and fatigue tests on differently heat-treated low carbon (non- and low-alloy) steels were conducted and accompanied by non-destructive electrical resistometric (ER) and magnetic Barkhausen noise (MBN) measuring devices, in order to establish an improved short-time fatigue life estimation method according to StressLife. MaRePLife (Material Response Partitioning) is the hereby proposed method for calculating S–N curves in the HCF regime, based on the partitioning of material responses acquired during the above-mentioned mechanical tests. The rules were set to make use of the information gathered from pre-conducted tensile tests, which helps to determine the parameters of two load increase tests (LIT) and two constant amplitude tests (CAT). The results of the calculated S–N curves were satisfactory and could be verified by more separately conducted fatigue tests on specimens under different material conditions.

Thermo‐based fatigue life prediction: A review

“…The aforementioned STEPs are not limited to the application of temperature‐related parameters. Some other parameters, e.g., strain, 50 hardness indentation, 45 electrical resistance, 46,51 and magnetic Barkhausen noise signal, 52 have also been shown to be applicable in both these methods and their derivative approaches. In recent years, the physically based StressLife 53 and StrainLife 54 prediction models were also proposed by introducing the morrow empirical relation to the short‐term evaluation procedure.…”

“…47,48 The aforementioned STEPs are not limited to the application of temperature-related parameters. Some other parameters, e.g., strain, 50 hardness indentation, 45 electrical resistance, 46,51 and magnetic Barkhausen noise signal, 52 have also been shown to be applicable in both these methods and their derivative approaches. In recent F I G U R E 3 Schematic illustration for the fatigue life prediction method PhyBaL LIT .…”

A nonlinear lifetime prediction method for un‐ and low alloyed steels by damage determination based on non‐destructive measurement techniques

“…[21][22][23][24][25][26] In addition to thermographic evaluations, the consideration of the electrical resistance as an indicator of microstructural changes is a useful tool. Wu et al 27 used a combination of tensile and fatigue tests equipped with electrical and magnetic methods to generate trend S-N curves in the HCF-regime. The determination of the strain in carbon fibres, using electrical resistance measurements is given by Todoroki et al 28 Another method, dealing with the damage accumulation during a fatigue process in the HCF-regime is proposed by Sun et al 29 Further studies on the relation between the electrical resistance and mechanical properties can be found in.…”

Fatigue Behaviour of Medium Carbon Steel Assessed by the Barkhausen Noise Method

“…From a practical point of view, an important issue is the influence of evaluation of fatigue cycles on material properties and technical condition assessment of the element without any physical interference in its geometry and properties. Therefore, non-destructive methods such as ultrasonic [8,9], magnetic-particle [10] and Barkhausen noise [11,12] can be relatively very helpful.…”