An experimental study on strain-induced martensitic transformation behavior in SUS304 austenitic stainless steel during higher strain rate deformation by continuous evaluation of relative magnetic permeability

Cao, Bo; Iwamoto, Takeshi; Bhattacharjee, P.P.

doi:10.1016/j.msea.2020.138927

Cited by 26 publications

(18 citation statements)

References 36 publications

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“…Thus, higher strain rates lead to an increase in the adiabatic heat created. The maximum martensitic volume fraction at strain rates above 10 3 s −1 is less than one fifth that at quasi-static strain rates (<0.2 s −1 ) [12]. However, Eckner et al also observed, among other aspects, the formation of deformationinduced martensite at strain rates above 10 5 s −1 [15].…”

Section: Introductionmentioning

confidence: 97%

“…Hecker et al also found that the temperature rise due to adiabatic heating at high strain rates is sufficient to lead to the suppression of martensitic transformation [14]. Moreover, Cao et al found that with high strain rates, up to 10 3 s −1 , the temperature increase, compared to quasi-static tensile tests, was higher [12]. Thus, higher strain rates lead to an increase in the adiabatic heat created.…”

Section: Introductionmentioning

confidence: 98%

“…Machining typically results in a strain rate between 10 3 and 10 6 s −1 [10]. Due to adiabatic heating of the specimen, high strain rates can lead to a reduction in strain hardening [11,12]. Therefore, at room temperature under tensile load, the DIMT is suppressed with increasing strain rate, which can be justified by the increase in adiabatic heat [13].…”

Section: Introductionmentioning

confidence: 99%

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High Strain Rate and Stress-State-Dependent Martensite Transformation in AISI 304 at Low Temperatures

Fricke

Gerstein

Kotzbauer

et al. 2022

Metals

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Deformation-induced martensitic transformation as the basis of a hardening process is dependent, among others, on the stress state. In applications such as cryogenic cutting, where a hardened martensitic subsurface can be produced in metastable austenitic steels, different stress states exist. Furthermore, cutting typically occurs at high strain rates greater than 103s−1. In order to gain a deeper insight into the behavior of a metastable austenitic steel (AISI 304) upon cryogenic cutting, the influence of high strain rates under different loading conditions was analyzed. It was observed that higher strain rates lead to a decrease in the α′-martensite content if exposed to tensile loads due to generated adiabatic heat. Furthermore, a lath-like α′-martensite was induced. Under shear stress, no suppression of α′-martensite formation by higher strain rates was found. A lath α′-martensite was formed, too. In the specimens that were subjected exclusively to compressive loading, almost no α′-martensite was present. The martensitic surface generated by cutting experiments showed deformation lines in which α′-martensite was formed in a wave-like shape. As for the shear specimens, more α′-martensite was formed with increasing strain rate, i.e., force. Additionally, magnetic etching proved to be an effective method to verify the transformation of ferromagnetic α′-martensite.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High Strain Rate and Stress-State-Dependent Martensite Transformation in AISI 304 at Low Temperatures

Fricke

Gerstein

Kotzbauer

et al. 2022

Metals

View full text Add to dashboard Cite

show abstract

“…Ferrous metals with helical domains, caused by torsional stress, also show a change in magnetic susceptibility; the Matteucci effect [ 21 ]. Variations in stress are therefore reflected as changes in the inductance of coils magnetically coupled to the sample, or the coupling factor of transformer style sensors, as found in MIT systems [ 36 , 37 , 38 ]. Residual stress in ferrous materials, resulting from quenching and phase transformations, are also indirectly detectable using eddy-current methods [ 15 , 16 , 20 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects

Dingley

Soleimani

2021

Sensors

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Magnetic induction tomography (MIT) is largely focused on applications in biomedical and industrial process engineering. MIT has a great potential for imaging metallic samples; however, there are fewer developments directed toward the testing and monitoring of metal components. Eddy-current non-destructive testing is well established, showing that corrosion, fatigue and mechanical loading are detectable in metals. Applying the same principles to MIT would provide a useful imaging tool for determining the condition of metal components. A compact MIT instrument is described, including the design aspects and system performance characterisation, assessing dynamic range and signal quality. The image rendering ability is assessed using both external and internal object inclusions. A multi-frequency MIT system has similar capabilities as transient based pulsed eddy current instruments. The forward model for frequency swap multi-frequency is solved, using a computationally efficient numerical modelling with the edge-based finite elements method. The image reconstruction for spectral imaging is done by adaptation of a spectrally correlative base algorithm, providing whole spectrum data for the conductivity or permeability.

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“…Since the face-centered-cubic austenite phases are metastable in austenitic stainless steels such as 301, 304, and 316L, they are prone to transform into body-centered-cubic martensite phases under deformation, i.e., deformation-induced martensite transformation (DIMT) [ 20 , 21 , 22 ]. For example, about 55 and 25 vol.% of austenite transformed into martensite in 304L and 316L stainless steels, respectively, after a cold-rolling reduction of 90% [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Controllable Martensite Transformation and Strain-Controlled Fatigue Behavior of a Gradient Nanostructured Austenite Stainless Steel

Lei

Wang

2021

Nanomaterials

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Gradient nanostructured (GNS) surface layer with a controllable martensite fraction has been synthesized on 316L austenitic stainless steel by means of surface mechanical rolling treatment (SMRT) with temperature being controlled. The mean grain size is in the nanometer scale in the near-surface layer and increases gradually with depth. In addition, the volume fraction of martensite decreases from ~85% to 0 in the near-surface layer while the SMRT temperature increases from room temperature to 175 °C. Fatigue experiments showed that the strain-controlled fatigue properties of the GNS samples are significantly enhanced at total strain amplitudes ≥0.5%, especially in those with a dual-phase surface layer of austenite and pre-formed martensite. Analyses on fatigue mechanisms illustrated that the GNS surface layer enhances the strength-ductility synergy and suppresses the formation of surface fatigue defects during fatigue. In addition, the dual-phase structure promotes the formation of martensite and stacking faults, further enhancing fatigue properties at high strain amplitudes.

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An experimental study on strain-induced martensitic transformation behavior in SUS304 austenitic stainless steel during higher strain rate deformation by continuous evaluation of relative magnetic permeability

Cited by 26 publications

References 36 publications

High Strain Rate and Stress-State-Dependent Martensite Transformation in AISI 304 at Low Temperatures

High Strain Rate and Stress-State-Dependent Martensite Transformation in AISI 304 at Low Temperatures

Multi-Frequency Magnetic Induction Tomography System and Algorithm for Imaging Metallic Objects

Controllable Martensite Transformation and Strain-Controlled Fatigue Behavior of a Gradient Nanostructured Austenite Stainless Steel

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