2017
DOI: 10.1016/j.ijfatigue.2017.08.002
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Statistical size effect on multiaxial fatigue strength of notched steel components

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Cited by 42 publications
(16 citation statements)
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“…Small specimens demonstrate higher fatigue strength compared to standard specimens while real parts exhibit even lower strength than the standard ones. While extended studies have been carried out to compare and evaluate the size effects on fatigue tests [54][55][56][57][58][59][60][61][62][63][64][65][66][67][68], recent studies show the implementation of miniature specimens to be instrumental in characterizing local properties of AM materials [41][42][43].…”
Section: Specimen Design and Preparationmentioning
confidence: 99%
“…Small specimens demonstrate higher fatigue strength compared to standard specimens while real parts exhibit even lower strength than the standard ones. While extended studies have been carried out to compare and evaluate the size effects on fatigue tests [54][55][56][57][58][59][60][61][62][63][64][65][66][67][68], recent studies show the implementation of miniature specimens to be instrumental in characterizing local properties of AM materials [41][42][43].…”
Section: Specimen Design and Preparationmentioning
confidence: 99%
“…On the contrary, engineering component in service is doomed to contain more complex three‐dimensional loading characteristics, especially for the component with geometrical discontinuity, such as notch, at which complex stress often exists even in simple uniaxial loading condition. As multiaxial fatigue failures always occur at notches because of the existence of stress concentration, these three‐dimensional loading characteristics should not be overlooked in multiaxial cycle fatigue analysis for meeting practical needs . However, as most multiaxial fatigue tests and fatigue life prediction models were built on thin‐walled tube specimen in early research, there were relatively few multiaxial life prediction models built on notched component alone, although the study is of great practical significance …”
Section: Introductionmentioning
confidence: 99%
“…As multiaxial fatigue failures always occur at notches because of the existence of stress concentration, these three-dimensional loading characteristics should not be overlooked in multiaxial cycle fatigue analysis for meeting practical needs. 17,18 However, as most multiaxial fatigue tests and fatigue life prediction models were built on thin-walled tube specimen in early research, there were relatively few multiaxial life prediction models built on notched component alone, although the study is of great practical significance. [19][20][21] Remarkably, the extra additional cyclic hardening in nonproportional loading condition, caused by the rotation of stress/strain principal axis, can be easily neglected in developing prediction model.…”
Section: Introductionmentioning
confidence: 99%
“…The round specimen geometry (Figure 1) exhibited a diameter of d = 30 mm and a notch, whose radius was designed to representatively cover the local stress distribution in depth, as for the investigated crankshaft in [16]. Details on the manufacturing of the crankshaft, the extraction of the specimens, the measurements of local properties, as well as fatigue test results for the base material, IH, and IH+StrP condition are provided in [16,22,23]. Machines 2018, 6, x FOR PEER REVIEW 2 of 15Within a previous work [21], the numerical simulation of the IH process and a subsequent application of a local strain-based fatigue approach was demonstrated, whereby the results fit well to the experimental data.…”
mentioning
confidence: 99%
“…The round specimen geometry exhibited a diameter of d = 30 mm and a notch, whose radius was designed to representatively cover the local stress distribution in depth, as for the investigated crankshaft in [16]. Details on the manufacturing of the crankshaft, the extraction of the specimens, the measurements of local properties, as well as fatigue test results for the base material, IH, and IH+StrP condition are provided in [16,22,23].…”
mentioning
confidence: 99%