Self-heating of metastable 304L austenitic stainless steel under cyclic loading: Influence of initial martensite volume fraction, testing temperature and pre-strain

Amini, Behnaz; Demmouche, Younes; Barati, Mahmoud; Helbert, Guillaume; Chirani, Shabnam Arbab; Calloch, Sylvain

doi:10.1016/j.mechmat.2020.103596

Cited by 15 publications

(8 citation statements)

References 56 publications

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“…Furthermore, a layer of black matte paint is painted on the sample's surface in order to obtain a precise temperature measurement. (d) 304L specimen adapted from [7].…”

Section: Identification Of the Parameters Of The Proposed Modelmentioning

confidence: 99%

“…The self-heating method, which has gained much popularity in recent years, is seen as a promising strategy for measuring fatigue [2][3][4][5][6][7][8][9][10][11][12][13]. This method was initially proposed by Luong et al [14] and Risitano et al [15][16][17][18], and it has gradually been confirmed by the pertinent research results of scholars.…”

Section: Introductionmentioning

confidence: 99%

“…Corigliano et al [13] determined the fatigue limit of TI6AL4V/INCONEL 625 dissimilar welded joints using the self-heating method. In Metals 2023, 13, 1147 2 of 13 addition to these abovementioned works, other applications based on the self-heating curve, such as in the fatigue performance prediction of additively manufactured materials [6,9], stainless steel [7], and high-strength steel [8,20], have also been recently reported. This method allows one specimen test to quickly estimate the fatigue endurance limit within a designated cycle [13,[20][21][22][23][24], which lays a solid research foundation for reducing fatigue testing costs.…”

Section: Introductionmentioning

confidence: 99%

“…Figure 4. The dimension of the specimen from the literature (unit: mm): (a) AZ31B welded joints adapted from[23]; (b) AISI 422 specimen adapted from[24]; (c) CGr15 specimen adapted from[20]; (d) 304L specimen adapted from[7].…”

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confidence: 99%

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Rapid Fatigue Limit Estimation of Metallic Materials Using Thermography-Based Approach

Liu

Wang

Chen

et al. 2023

Metals

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This work attempts to develop a theoretical model in combination with the representative volume element (RVE) theory for realizing rapid fatigue limit prediction. Within the thermodynamic framework, it is believed that two components, namely anelastic and microplastic behaviors, which correspond to recoverable and non-recoverable microstructural motions, contribute to temperature variation during high-cycle fatigue. Based on this, the constitutive equation of the response relationship between the temperature rise evolution and the stress amplitude of metallic materials can be deduced in combination with the heat balance equation. Meanwhile, a determination approach for the thermographic experimental data for accurate fatigue limit estimation is developed by combining it with a statistical method. Finally, the experimental data of metallic specimens and welded joints were utilized to validate the proposed model, and the results demonstrated great agreement between experimental and predicted data.

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“…Furthermore, a layer of black matte paint is painted on the sample's surface in order to obtain a precise temperature measurement. (d) 304L specimen adapted from [7].…”

Section: Identification Of the Parameters Of The Proposed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Rapid Fatigue Limit Estimation of Metallic Materials Using Thermography-Based Approach

Liu

Wang

Chen

et al. 2023

Metals

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“…Since the 2000s, several research studies have proposed an alternative approach for rapid prediction of HCF properties, leveraging the thermal signal emitted by the specimen under cyclic loading across different materials [27][28][29][30] . This method, known as the selfheating method, offers a faster evaluation of HCF properties.…”

Section: Introductionmentioning

confidence: 99%

Self-Heating and Fatigue Assessment of Laser Powder Bed Fusion NiTi Alloy with High Cycle Fatigue Mechanisms Identification

Cullaz,

Saint-Sulpice,

Elahinia

et al. 2024

Metals

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Rapid methods for assessing the fatigue properties of materials have been developed, among which the self-heating method stands out as particularly promising. This approach analyzes the thermal signal of the specimen when subjected to cyclic loading. In this research, the self-heating method was utilized for the first time with laser powder bed fusion (LPBF) of NiTi alloys, examining two specific loading conditions: loading ratios of 0.1 and 10. A thorough examination of the material self-heating behavior was conducted. For comparative purposes, conventional fatigue tests were also conducted, alongside interrupted fatigue tests designed to highlight the underlying mechanisms involved in high cycle fatigue and potentially self-heating behavior. The investigation revealed several key mechanisms at play, including intra-grain misorientation, the emergence and growth of persistent slip bands, and the formation of stress-induced martensite. These findings not only deepen our understanding of the fatigue behavior of LPBF NiTi alloys but also highlight the self-heating method potential as a tool for studying material fatigue.

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Investigation of self-heating and dissipative effects in ferroelectric ceramics subjected to compressive mechanical cyclic loading

et al. 2021

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Self-heating of metastable 304L austenitic stainless steel under cyclic loading: Influence of initial martensite volume fraction, testing temperature and pre-strain

Cited by 15 publications

References 56 publications

Rapid Fatigue Limit Estimation of Metallic Materials Using Thermography-Based Approach

Rapid Fatigue Limit Estimation of Metallic Materials Using Thermography-Based Approach

Self-Heating and Fatigue Assessment of Laser Powder Bed Fusion NiTi Alloy with High Cycle Fatigue Mechanisms Identification

Investigation of self-heating and dissipative effects in ferroelectric ceramics subjected to compressive mechanical cyclic loading

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