The largest database of trusted experimental protocols

Austenite

Austinite is a type of crystalline material found in certain types of stainless steel.
It is characterized by its face-centered cubic crystal structure and is known for its high strength, corrosion resistance, and ability to maintain its properties at elevated temperatures.
Austinite research is crucial for understanding the behavior and application of this important engineering material.
PubCompare.ai, a leading AI-driven platform, can enhance Austinite research by helping researchers locate relevant protocols from literature, preprints, and patents, and leverage AI-driven comparisons to identify the best protocols and products.
This innovative solution can improve reproducibility and optimize research workflows, allowing researchers to experience enhanced Austinite research and gain valuable insights into this material's properties and potential uses.

Most cited protocols related to «Austenite»

The CrCoNi MEA was produced from high-purity elements (>99.9% pure), which were arc-melted under argon atmosphere and drop-cast into rectangular cross-section copper moulds measuring 25.4 × 19.1 × 127 mm. The ingots were homogenized at 1,200 °C for 24 h in vacuum, cut in half length-wise and then cold-forged and cross-rolled at room temperature along the side that is 25.4 mm to a final thickness of ∼10 mm, as shown in Fig. 1a (total reduction in thickness of ∼60%). Each piece was subsequently annealed at 800 °C for 1 h in air leading to sheets with a fully recrystallized microstructure consisting of equiaxed grains ∼5–50 μm in size.
To analyse the microstructure of the material after processing, two pieces were cut from the recrystallized sheets perpendicular to the rolling direction, embedded in conductive resin and metallographically polished in stages to a final surface finish of 0.04 μm using colloidal silica. For optical microscopy analysis, one polished surface was chemically etched using a standard solution for austenitic steels (10 ml H2O, 1 ml HNO3, 5 ml HCl and 1 g FeCl3); the other was analysed as is in an LEO (Zeiss) 1525 FE-SEM (Carl Zeiss, Oberkochen, Germany) scanning electron microscope (SEM) operated at 20 kV in the back-scattered electron mode.
Full text: Click here
Publication 2016
Argon Atmosphere Austenite CD3EAP protein, human Cereals Cold Temperature Copper Electric Conductivity Electrons Fungus, Filamentous Light Microscopy Resins, Plant Scanning Electron Microscopy Silicon Dioxide Steel Vacuum
The experimental materials used in this contribution were two special tool steels manufactured by Böhler, namely M390 and M398. Steels are produced using powder metallurgy with the HIP (Hot Isostatic Pressing) method [11 (link)]. The description of the production process is described in the publication by Ciger et al. [12 (link)]. Due to the production method and chemical composition, the steel provides extremely high resistance to mechanical wear as well as corrosion resistance. The prerequisite for the use of steel is the production of screws for injection molding machines. The main concept for increasing the macro-hardness is the high content of MC and M7C3 carbides, which can be observed in the microstructure itself in Figure 1. The basic microstructure of test tool steels was investigated by scanning electron microscopy (SEM, Tescan Vega 3, Tescan Orsay Holding, Brno, Czech Republic). The samples in this case were heat-treated (Q + T) to the highest hardness.
These steels have their uses in the plastics industry, specifically to produce injection molding screws. The helix performs a rotational movement which moves the solid granulates from the hopper into the space in front of the screw. It is gradually heated and melted to the injection temperature depending on the type of plastic polymer in the temperature range of 160–250 °C. The injection of plastic takes place by means of a straight movement of the screw to the front position. The back flow cylinder prevents the backflow of the molten plastic granulate. The investigated material M398 is a newly developed material, the task of which will be to replace material M390. Other properties that predetermine M398 steel to produce screws include, high dimensional stability during heat treatment, good resistance to chemical corrosion, and the possibility of polishing to a mirror finish.
Table 1 shows and compares the values of the prescribed chemical composition from Böhler and the chemical composition measured by the authors using a Spectrolab Jr. chemical analyzer. The basic mechanical properties are listed and compared in Table 2. The manufacturer did not provide the exact chemical range of the individual elements.
In the processes of all realized experiments, dry sliding friction on powdered tool steels M390 vs. M398 and comparison of wear in contact with ceramic bearing ball Al2O3 at a constant measuring temperature of 200 °C were investigated. The whole measurement process took place on an instrument, the UMT TriboLab (Bruker Austria GmbH, Wien, Austria), where the main changing parameter was the different tempered temperatures of the samples (200 °C, 400 °C, 600 °C). Half of each material was also cryogenically turbid to reduce the residual austenite. The marking of the samples consisted of the marking of the experimental material and the subsequent tempering temperature. The samples are marked with the type of steel, and the subsequent number determines the tempering temperature of the samples. The letters DF (deep freezing) indicate samples that have undergone a cryogenic hardening process. Samples that did not have DF at the end were quenched to 50 °C and then tempered to the prescribed temperatures written on their labels. Wear results and roughness measurements were measured by light optical microscopy (LOM) and atomic force microscopy (AFM, Oxford Instruments, Abingdon, UK), respectively. Using the AFM microscope, 3D topographies of the ceramic balls, as well as the formed grooves, were also obtained, and their final texture surface was determined after individual experiments. All the obtained results for the coefficient of friction and wear are discussed in the next part of the article.
Full text: Click here
Publication 2022
Austenite chemical composition Corrosion Friction Helix (Snails) Light Microscopy Microscopy Microscopy, Atomic Force Movement Polymers Scanning Electron Microscopy Sclerosis Steel
During TEVAR, a 28–28-150 mm Medtronic Valiant SG (Medtronic Vascular, Santa Rosa, California) with proximal bare metal stent was implanted. The SG geometry was created in Solidworks (Dassault Systèmes, France) following the dimension and specification of the Valliant product which consists of a Nitinol stent scaffold and polyethylene terephthalate (PET) fabric graft (Fig. 2a). The Nitinol stent was meshed into linear hexahedral elements with reduced integration (C3D8R) in Abaqus®. A superelastic material property was used, to reproduce the mechanical behaviour of Nitinol with parameters shown in Table 1 (Kleinstreuer et al. 2008 (link)). PET fabric graft was modelled as a tube with 0.1 mm thickness and meshed into membrane elements with reduced integration (M3D4R). The material property of PET fabric was simplified by assuming it as an isotropic elastic material with parameters taken from the same study (Kleinstreuer et al. 2008 (link)).

Summary of the steps in the simulation of stent-graft (SG) deployment and model variations. a The 28–28-150 mm Medtronic Valiant SG was used in TEVAR procedure and was covered by the virtual sheath. b The SG was compressed by the virtual sheath to its crimped state. c A curved tube opened up the local narrowing in the compressed true lumen. d The SG was delivered and deployed at the targeted position. e overall workflow and model variations

Superelastic material parameters for Nitinol (Kleinstreuer et al. 2008 (link))

Austenite elastic modulus \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${E}_{\mathrm{A}}$$\end{document}
EA
, MPa
51,700
Austenite Poisson’s ratio \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\nu }_{\mathrm{A}}$$\end{document}
νA
0.3
Martensite elastic modulus \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${E}_{\mathrm{M}}$$\end{document}
EM
, MPa
47,800
Martensite Poisson’s ratio \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\nu }_{\mathrm{M}}$$\end{document}
νM
0.3
Transformation strain0.063
Start of transformation (loading) \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\sigma }_{\mathrm{L}}^{\mathrm{s}}$$\end{document}
σLs
, MPa
600
End of transformation (loading) \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\sigma }_{\mathrm{L}}^{E}$$\end{document}
σLE
, MPa
670
Start of transformation (unloading) \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\sigma }_{\mathrm{U}}^{\mathrm{s}}$$\end{document}
σUs
, MPa
288
End of transformation (unloading) \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\sigma }_{\mathrm{U}}^{\mathrm{E}}$$\end{document}
σUE
, MPa
254
Start of transformation stress in compress \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\sigma }_{\mathrm{CL}}^{\mathrm{S}}$$\end{document}
σCLS
, MPa
900
Reference temperature \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$T$$\end{document}
T
, ℃
37
Density \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\rho$$\end{document}
ρ
, g/cm3
6.5
The Nitinol stent and PET fabric graft were then assembled together by using the tie constraint which prevents sliding or separation of the two components. A tubular surface with a diameter of 29 mm was created outside of the SG and meshed into surface elements (SMF3D4R); this represented the virtual delivery sheath and was employed to crimp and deliver the SG into the aortic dissection.
Full text: Click here
Publication 2021
Austenite Blood Vessel Dissecting Aneurysms Grafts Metals nitinol Obstetric Delivery Polyethylene Terephthalates Rosa Stents Thoracic Endovascular Aortic Repair Tissue, Membrane
An Fe21Mn58Al17Ni4 alloy of 3 g was prepared from the pure metals by arc melting. The resulting ingot (dimensions: cylinder with 1.5 cm diameter and 5 mm height) was afterwards heat-treated at 1473 K in an argon atmosphere for 24 h and quenched in ice water. The chemical compositions were checked by energy-dispersive X-ray spectroscopy (EDS). Further details regarding the sample preparation and annealing procedures can be found in the work of Walnsch et al. (2019a ▸ ,b ▸ ). Thermally induced martensite was generated by water quenching from the heat-treatment temperature.
Scanning electron microscopy (SEM) on metallographically prepared cross sections (special effort has been made to prevent re-heating of the samples during the preparation process) after grinding and polishing (final stage: vibrational polishing) has been used to acquire the shown figures and BKD patterns. The austenite grains have a size of several hundred µm, making powder X-ray diffraction an unsuitable method for investigating the crystal structure and microstructure. Therefore, electron backscatter diffraction (EBSD) was chosen as the investigation method.
EBSD was carried out using a JEOL JSM 7800F scanning electron microscope with an acceleration voltage of 30 keV and beam current of approximately 10 nA. The BKD camera (EDAX Hikari Super Elite) has a resolution of 480 × 480 pixels and the output patterns are in a 16-bit format, making a precise analysis of the diffracted intensities possible. The BKD patterns were acquired using the EDAX TEAM software.
Special efforts were made to acquire BKD patterns with the best possible quality:
(i) The individual BKD patterns were acquired with an acquisition time of more than 100 ms. Ten patterns of the same spot were summed to reduce noise.
(ii) Background subtraction was done on the basis of BKD patterns acquired from embedded and polished Fe40Ni40B20 metallic glass having a similar electron density to the presently investigated alloy [see Fig. 2(a)]. This method is superior in the present case of a very coarse-grained alloy to averaging many differently oriented grains of the actual alloy, as the latter procedure leads to residual Kikuchi bands in the averaged background pattern dedicated to serve as background for the BKD indexing procedure.
(iii) The acquired BKD patterns were used in their 16-bit format and treated by low-pass filtering and adjusting of the gray value histogram [compare Fig. 2(b) and Fig. 2(c)] to reduce noise in the pattern, originating from an imperfect background subtraction.
The BKD patterns were analyzed by means of Hough-space-based indexing using the TSL OIM DC 7 software (EDAX, 2017 ▸ ). In order to relate the experimentally measured patterns to possible structure models, dynamic simulation of the BKD patterns, using the structure models, was carried out using the Bruker DynamicS software (Winkelmann et al., 2007 ▸ ).
Full text: Click here
Publication 2021
Acceleration Alloys Argon Atmosphere Austenite Cereals chemical composition Electrons Energy Dispersive X Ray Spectroscopy Ice Investigative Techniques Martensite Metals Powder Scanning Electron Microscopy Vibration X-Ray Diffraction
Multiple strengthening mechanisms contribute to the high strength of CCSs. To evaluate the specific contributions of each mechanism, the yield strength (σy) of the current CCSs can be given by σy=σ0+σgr+σds+σp where σ0 is the lattice friction stress, σgr is the stress arising from the grain boundaries strengthening, σds is the stress resulting from the dislocation strengthening, and σp is the stress from the precipitate strengthening.
The grain boundary strengthening follows the Hall-Petch relationship, which can be calculated by (40 ) σgr=fRXk/dRX where fRX refers to the volume fraction of the recrystallized region, k is the value of Hall-Petch slope [14.55 MPa∙mm1/2 (41 )], and dRX is the grain size of the recrystallized region (~350 nm). The contribution from the grain boundaries (σgr) is around 62 MPa. The strengthening from the dislocation is given by the Taylor hardening law (40 ) σds=fNRXMαGbρds where fNRX refers to the volume fraction of the non-recrystallized region, M is the Taylor factor of FCC alloys (3.06), α is a constant (0.2), G is the shear modulus, b is the magnitude of the Burgers vector (0.26 nm), and ρds is the dislocation density. The shear modulus was obtained by the equation G = E/2(1 + ν), where E is the Young’s modulus and ν is Poisson’s ratio (ν = 0.25 for austenite steels). The values of Young’s modulus of lightweight steels (with 25 to 30 wt. % Mn and 8 to 10 wt. % Al) mostly range from 160 to 180 GPa, although the compositions varied (2 ). Correspondingly, the values of shear modulus are in the range of 64 to 72 GPa. We thus took the average value, i.e., 68 GPa, for the shear modulus. In the present study, the dislocation strengthening effect mainly results from the geometrically necessary dislocations (GNDs) as the densities of retained statistically stored dislocations were very low due to the recovery upon annealing (42 ). The density of GNDs can be calculated by the following expression (43 ) ρds=2θ/μb where θ is the misorientation angle and μ is the unit length [μ = 10−5 m (43 )]. The misorientation angle was estimated on the basis of the kernel average misorientation maps from EBSD analysis, which gives the dislocation density of 1.74 × 1013 m−2. Thus, the strengthening provided by dislocations (σds) is 42 MPa. Since the strengthening effect from lattice friction, grain boundaries, and dislocations is known, the strengthening arising from the dual-nanoprecipitation can be calculated by σp=σyσ0σgrσds
To accurately evaluate the lattice friction stress of the FCC matrix, we performed additional tensile tests to measure the yield strength of a homogenized alloy without Ni (Fe-26Mn-16Al-5C, at. %), a composition very close to that of the FCC matrix in our CCS. This gave a yield strength value of 445 MPa. The homogenized alloy had an austenite structure with a very large average grain size of ~92 μm. The lattice friction stress was then obtained by subtracting the grain boundary strengthening from the measured yield strength, which gave a value of 397 MPa. Thus, the nanoprecipitate strengthening contribution (σp) is calculated as 1082 MPa. This shows that the dual-nanoprecipitate strengthening mechanism plays a larger role in the yield strength than all other strengthening mechanisms.
Publication 2020
Alloys Austenite Cereals Cloning Vectors Friction Joint Dislocations Microtubule-Associated Proteins Steel

Most recents protocols related to «Austenite»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2023
Alloys Austenite Metals Plasma Spectrometry Vacuum
Three NiTi rotary systems with different cross-sectional geometries but the same sizes were selected including convex triangle (CT), S-type (S), and triple-helix (TH) with the size and taper of 25/04. Detailed 3-dimentional geometries of these three files were designed using the SolidWorks software (Dassault Systèmes, Vélizy-Villacoublay, France).
Cross-sectional and longitudinal geometries of instruments are shown in Figure 1.
The zaxis was chosen along the length of the instruments, i.e., normal to the cross section. Root canal models with curvature angles of 45ᵒ and 60ᵒ and radii of 2 and 5mm with the same size as files (25/04) and a total length of 15mm were regenerated according to clinical information.
By combining the two cited parameters, four types of canal geometries were evaluated (Figure 2).
All models were transferred to ABAQUS software V2018 (SIMULIA, Providence, RI, USA) and multiple numerical simulations were performed to evaluate the stress distribution in different endodontic files. Modeled files were advanced continuously, without repetitive up and down pecking or brushing movements to reach the apex of the modeled root canals. During the insertion, the instruments rotated at the speed of 300 rpm (5 revolutions per second) and the von Mises stress distribution was evaluated based on the finite element method.
The mechanical characteristics of NiTi alloy and dentin component of the root canal were setting as: Young’s modulus 36 GPa, the Passion’s ratio 0.30, the stress range for austenite to martensite phase transformation 504-600 MPa for the NiTi alloy [ 12 (link)
] and the Young’s modulus 18.60 and the Poisson’s ratio 0.30 for dentin [ 2 (link) ].
The accumulation of plastic deformation due to cyclic loading in the pseudo-elastic range and the shear strains due to friction of the instrument blade into the canal wall were neglected as model simplifications.
Full text: Click here
Publication 2023
Alloys Austenite Dentin Friction Helix (Snails) Martensite Movement Pulp Canals Radius Root Canal Therapy Strains titanium nickelide Tooth Components
The Fe-Ni alloys investigated in the present work were produced using the arc-melting procedure which has previously been used to produce high-purity Ni-Ti alloys [58 (link),59 (link)]. Melting was performed using Fe and Ni feedstock in a Buehler AM arc melter (Edmund Buehler GmbH, Bodelshausen, Germany). Fe was obtained from HMW Hauner GmbH&Co. KG (Roettenbach, Germany) in the form of granulate (pieces < 20 mm) with a purity of 99.99 wt.%. HMW also provided the Ni in form of granulate (pieces < 20 mm) with a purity of 99.98 wt.%. The Fe:Ni ratios were controlled using an analytical balance (Mettler Toledo LLC, Columbus, OH, USA) with an accuracy of ±0.001 g. Prior to the first melting step, the reaction chamber was evacuated (vacuum: 3 × 10−3 bar) and filled with Ar (purity: 99.9999 vol.%, pressure: 0.6 bar). This cycle was repeated three times. The chamber of the arc melter contained a Ti getter, which was melted for 60 s, to minimize the content of residual oxygen. Subsequently, twelve re-melting cycles and a final drop-casting step were applied. The final ingots had masses of ~50 g, rectangular cross-sections of 8 × 20 mm2, and lengths of 60 mm. Casting was followed by hot and cold rolling in a rolling mill of type DWU-30 (Friedrich Krollmann GmbH, Altena, Germany). During six hot rolling steps (with intermediate short-time anneals at 1073 K) the cross section was reduced from 8 to 4.5 mm thickness. Subsequently, during eight cold-rolling steps, the cross-sectional thickness was further reduced from 4.5 to 2.5 mm. The total degree of rolling deformation prior to the subsequent homogenization/austenitization heat treatment was 58.8%. The thermomechanical treated materials were subsequently sealed into evacuated quartz capsules under a vacuum of around 5 × 10−5 mbar along with a Ti getter. High-temperature annealings (for homogenization and austenitization) were conducted for 72 h at 1473 K, followed by water quenching, which resulted in an austenitic material state. Small (40 to 50 mg) samples were prepared by cutting, grinding, and polishing (down to a grit size of 1000) and cleaned for 10 min in an ethanol ultrasonic bath. The processing route applied in the present work is documented in Figure 2.
Using this procedure, a total number of eleven ingots was produced. Their target compositions, together with the actual compositions measured after processing using energy dispersive X-ray analysis (EDX) in the SEM and inductively coupled plasma-optical emission spectrometry (ICP-OES), are given in Table 1 for six of the twelve casted ingots. Please note that the experimentally determined concentrations (columns 3 and 4 of Table 1) are very close to the target compositions (column 2 of Table 1). From these eleven ingots, 29 specimens were cut for further investigations. After processing, all ingots were in the austenitic state, with an austenite grain size in the mm range.
Full text: Click here
Publication 2023
Alloys Austenite Bath Capsule Cereals Cold Temperature Ethanol Fever Oxygen Plasma Pressure Quartz Radiography Spectrometry titanium nickelide Ultrasonics Vacuum Vision
EDX experiments were performed using a LaB6 JEOL JSM 840A type SEM (Tokyo, Japan) operating at 30 kV. EDX maps were recorded from areas of 0.25 mm2. To obtain high-quality images of martensitic microstructures and to study the distributions of the ξ-angles to differentiate between different types of martensite, an FEI Quanta FEG 650 SEM (Hillsboro, OR, USA) was used. During the EBSD measurements, the specimens were tilted by 70° and an acceleration voltage of 30 kV was used at a working distance of ~17 mm. Investigations were performed on vibro-polished metallographic cross-sections. Areas of 100 × 100 µm2 in the center of large prior austenite grains (~mm size) were scanned using a step size of 100 nm resulting in 500,000 crystallographic data points per material state. EBSD measurements were conducted using an EDAX Inc. type Hikari XP camera (Mahwah, NJ, USA). The EBSD data were evaluated following the approach which was recently documented in Ref. [8 (link)] and implemented into the MATLAB [60 ] toolbox MTEX [61 (link),62 (link)]. In the present work, two procedures are used which were introduced in previous studies, see Ref. [8 (link)]. First, the distribution of the three ξ-angles, which represents the deviation between the actual orientation relationship between the austenite parent lattice and the ideal Bain orientation relation is considered. The three angles are denoted as ξ1, ξ2, and ξ3, where indices 1, 2, and 3 correspond to the x, y, and z-axes of the Bain cell respectively., see Figure 3a. The symmetry of the austenite-martensite transformation yields 24 possible martensite variants which can form in one austenite grain. Secondly, a martensite variant color coding which was introduced in [8 (link)], Figure 3b, is applied to visualize information about the emerging variants forming during the martensitic transformation.
Full text: Click here
Publication 2023
Acceleration Austenite Cells Cereals Crystallography Epistropheus Martensite Microtubule-Associated Proteins Parent
The investigated material was carried out by Ni-Cr-Mo steel with a thickness of 120 mm industrially produced in order by casting, electroslag remelting, rolling and Q-T heat-treatment. The as-rolled plate was reaustenitised at 900 °C and was subsequently quenched using an industrial roller to room temperature and then tempered at 600 °C. The quenching and tempering soaking times are determined by the thickness of the steel plate, 2.5 min/mm and 5 min/mm, respectively. The chemical composition of the investigated steel is shown in Table 1. In order to assess the properties and microstructures across the section of the plate, the specimens were cut at different locations, as shown in Table 2. The property and microstructure of the heavy plate are thought to be symmetrical, and the positions selected from the surface to the centre of the heavy plate represent the full thickness.
The specimens etched in 4% nital solution were observed by a scanning electron microscope (SEM, model: Quanta650 FEG, FEI Company, Hillsboro, OR, USA). The prior austenite grain boundaries were etched by a saturated picric acid reagent and observed with an optical microscope (OM, model: Leica MEF4M, Leica Company, Wetzlar, Germany). Electron back-scatter diffraction (EBSD) analysis (step size: 0.2 μm) was performed by a field emission scanning electron microscope (FE-SEM, model: JSM-7900F, JEOL Company, Tokyo, Japan), and the data were analyzed with HKL CHANNEL 5 Flamenco software. The ultrafine laths were investigated by a field emission transmission electron microscope (H-800, 200 KV) using the thin foils electro-polished at −20 °C in a 6% perchloric acid solution. The density of dislocation was measured by an X-ray diffractometer (XRD, model: D8 ADVANCE, Bruker Company, Bremen, Germany) operated at 35 kV, and the specimens were handled at a scan rate of 2°/min.
The tensile strength of the experimental steels was measured at 20 °C with a gauge length of 25 mm and diameter of 5 mm. The tensile direction is perpendicular to the rolling direction. The impact tests were performed with standard Charpy V-notch specimens at temperatures ranging from −20 °C to −120 °C. Three specimens were used per condition to avoid deviation. Instrumented impact test was carried out at −60 °C. Vickers hardness measurements were carried out under an applied load of 10 kg.
Full text: Click here
Publication 2023
Austenite Cereals chemical composition Electrons Joint Dislocations Light Microscopy Perchloric Acid picric acid Radiography Radionuclide Imaging Scanning Electron Microscopy Steel Transmission Electron Microscopy

Top products related to «Austenite»

Sourced in Japan
The XRD-6000 series is a line of X-ray diffractometers manufactured by Shimadzu. The core function of the XRD-6000 is to perform X-ray diffraction analysis, a technique used for the identification and characterization of crystalline materials.
Sourced in United States, Netherlands, Germany, United Kingdom
The Quanta 3D FEG is a field emission gun scanning electron microscope (FEG-SEM) designed for high-resolution imaging and advanced analytical capabilities. It provides a stable electron beam with a small spot size, enabling detailed visualization of surface topography and microstructural features at the nanometer scale.
Sourced in Japan, United States, Germany, Italy, Denmark, United Kingdom, Canada, France, China, Australia, Austria, Portugal, Belgium, Panama, Spain, Switzerland, Sweden, Poland
The BX51 microscope is an optical microscope designed for a variety of laboratory applications. It features a modular design and offers various illumination and observation methods to accommodate different sample types and research needs.
Sourced in Japan, United States, Germany, United Kingdom
The JEM-2100F is a transmission electron microscope (TEM) designed and manufactured by JEOL. It is capable of high-resolution imaging and analytical capabilities. The JEM-2100F is used for a variety of research and industrial applications that require advanced electron microscopy techniques.
Sourced in United States, Netherlands, Germany, Japan, Czechia, Switzerland, France
The Quanta 250 FEG is a field emission gun scanning electron microscope (SEM) designed for high-resolution imaging and analysis. It features a Schottky field emission gun source, providing stable and coherent electron beam for high-resolution imaging. The Quanta 250 FEG is capable of operating in high vacuum, low vacuum, and environmental SEM modes, allowing for the examination of a wide range of sample types.
Sourced in Japan
The SmartLab 9 kW is a high-performance X-ray diffractometer system designed for advanced materials analysis. It features a powerful 9 kW X-ray generator that provides high-intensity X-ray beams for various applications. The SmartLab 9 kW is capable of performing a wide range of X-ray diffraction measurements and analysis.
Sourced in Germany
The TOF.SIMS 5 is a time-of-flight secondary ion mass spectrometer (TOF-SIMS) instrument designed for high-resolution surface analysis. It provides detailed chemical information about the composition and structure of solid surfaces and thin films at the nanoscale level.
Sourced in United States, United Kingdom
The Discovery DSC 2500 is a differential scanning calorimetry (DSC) instrument manufactured by TA Instruments. It is designed to measure the heat flow associated with thermal transitions in materials as a function of temperature and time.
Sourced in United States
The ICAP6300 Radial is an inductively coupled plasma optical emission spectrometer (ICP-OES) designed for elemental analysis. It provides high-performance multi-element quantification of a wide range of sample types. The instrument features a radially-viewed plasma configuration and a solid-state detector for efficient and accurate analysis.
Sourced in United States
The TrueBeam 2.0 is a cutting-edge linear accelerator system designed for precise and accurate radiation therapy treatments. It delivers high-energy X-rays or electrons to the targeted area, enabling healthcare professionals to administer advanced cancer treatments.

More about "Austenite"

Austenite, a crucial crystalline material found in stainless steel, is characterized by its face-centered cubic (FCC) crystal structure.
This high-strength, corrosion-resistant alloy maintains its exceptional properties even at elevated temperatures, making it a vital engineering material.
Researchers studying Austenite rely on advanced analytical techniques like X-Ray Diffraction (XRD-6000 series), Scanning Electron Microscopy (Quanta 3D FEG), and Optical Microscopy (BX51) to understand its microstructure and behavior.
Transmission Electron Microscopy (JEM-2100F) and Energy-Dispersive X-Ray Spectroscopy (Quanta 250 FEG) provide deeper insights into Austenite's chemical composition and atomic-level structure.
Thermal analysis tools, such as Differential Scanning Calorimetry (Discovery DSC 2500), help researchers investigate phase transformations and thermodynamic properties.
Inductively Coupled Plasma Optical Emission Spectrometry (ICAP6300 Radial) is used to precisely quantify the elemental composition of Austenite samples.
Additionally, Time-of-Flight Secondary Ion Mass Spectrometry (TOF.SIMS 5) and X-Ray Fluorescence (SmartLab 9 kW) offer complementary analytical capabilities for comprehensive Austenite characterization.
Cutting-edge radiation therapy systems like TrueBeam 2.0 can also be utilized to study the effects of high-energy particle beams on Austenite's microstructure and properties.
PubCompare.ai, a leading AI-driven platform, empowers researchers to streamline their Austenite studies by providing access to relevant protocols, facilitating protocol comparisons, and optimizing research workflows for enhanced reproducibility and valuable insights.