Effects of Chromium Content and Impact Load on Microstructures and Properties of High Manganese Steel

Khanh, Pham Mai; Nam, Nguyen Duong; Chieu, Le Thi; Quyen, Hoang Thi Ngoc

doi:10.4028/www.scientific.net/msf.804.297

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Specifically, the reductions in hardness values were 26, 28, and 26 for Steels 1, 2, and 3, respectively, which were not significantly different. This behavior was also observed by Khanh et al [26] in high-manganese steel, wherein hardness did not change much when the chromium content increased from 2% to 2.5%. Interestingly, Steel 3, which had no chromium content, showed a change in hardness even when varying chromium in the range [0.13, 0.656] wt%, suggesting that the chromium content in that composition of metals had no effect on hardness.…”

Section: Analysis Of the Impact Of Chromium Content On The Hardness O...supporting

confidence: 83%

“…Our findings are in good agreement with the trends reported in the literature. For example, Khanh et al [26] found that the hardness of high-manganese steel increased when the chromium content increased, but the hardness did not change much when the Cr content changed from 2% to 2.5% of the weight. Chromium tends to increase hardness penetration.…”

Section: Analysis Of Other Alloying Elementsmentioning

confidence: 99%

See 1 more Smart Citation

Predictive Modeling of Hardness Values and Phase Fraction Percentages in Micro-Alloyed Steel during Heat Treatment Using AI

Bassi,

Bodas,

Hasan

et al. 2023

Metals

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In this work, we have proposed an AI-based model that can simultaneously predict the hardness and phase fraction percentages of micro-alloyed steel with a predefined chemical composition and thermomechanical processing conditions. Specifically, the model uses a feed-forward neural network enhanced by the ensemble method. The model has been trained on experimental data derived from continuous cooling transformation (CCT) diagrams of 39 different steels. The inputs to the model include a cooling profile defined by a set of time-temperature values and the chemical composition of the steel. Sensitivity analysis was performed on the validated model to understand the impact of key input variables, including individual alloys and the thermomechanical processing conditions. This analysis, which measures the variability in output in response to changes in a specific input variable, showed excellent agreement with experimental data and the trends in the literature. Thus, our model not only predicts steel properties under varied cooling conditions but also aligns with existing theoretical knowledge and experimental data.

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Section: Analysis Of the Impact Of Chromium Content On The Hardness O...supporting

confidence: 83%

Section: Analysis Of Other Alloying Elementsmentioning

confidence: 99%

Predictive Modeling of Hardness Values and Phase Fraction Percentages in Micro-Alloyed Steel during Heat Treatment Using AI

Bassi,

Bodas,

Hasan

et al. 2023

Metals

View full text Add to dashboard Cite

show abstract

“…After passing through an instantanous cooling process, they produce polycrystalline crystals instead of single crystals and under such conditions, several austenitic ions bind together and prevent crystallization of the crystals. Thus, they promote the same crystal growth and smooth the structure [16,17]. The steel is alloyed by alloy elements as: Cr; V... M7C3 crystals size is larger than crystalline raddie than crystalline radii, reducing the length.…”

Section: Introductionmentioning

confidence: 99%

Influence of Rare-Earth on the Microstructure and Mechanical Properties of High Manganese Steel Under Impact Load

Nam

Nguyen

Khanh

2019

Acta Metall Slovaca

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In this paper, the influence of rare earth (RE) on the microstructure and mechanical properties of austenitic high manganese steel (HMnS) Mn15Cr2V were investigated. The results showed that the microstructure, hardness and impact strength of RE modification sample is finer and better than non-modified sample. Under the effect of impact load, the hardness and the depth of the work-hardening layer of the modified steel was higher than that of the non-modified steel, thereby, the value of microhardness in the surface of the modified sample was 420 HV while it was only 395 HV in the non-modified sample. The value of the impact strength of the modified sample was up to 132J/cm2 compared to the non-modified sample is only 115J/cm2. Moreover, after impact load, the austenite nanoparticles had been found out on the surface of this steel, this is the cause of the increasing of mechanical properties in this steel.

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“…High manganese steel (HMS) exhibits both excellent toughness and hardenability under high impact conditions [1,2]. Hence, it has been widely used in specific applications such as rail tracks, dredge buckets, hammer crushers and a variety of high impact and wear-resistance operations [3][4][5]. Among various ceramic particles, titanium carbide-TiC is expected to combine with HMS to enhance the hardness and the wear-resistance of HMS.…”

Section: Introductionmentioning

confidence: 99%

DENSIFICATION AND MECHANICAL PROPERTIES OF FEMN13-TiC COMPOSITES FABRICATED BY PULSED ELECTRIC CURRENT SINTERING PROCESS

Dang¹,

Hoang

Tran

et al. 2018

Acta Metall Slovaca

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In the present work, FeMn13-40 wt.% TiC composite was fabricated by Pulsed Electric Current Sintering (PECS) process at different temperatures between 990 and 1020oC under a pressure of 60 MPa with a holding time of 5 min in the vacuum. Phases identification was done using the X-ray diffraction. The relative density, microstructure and hardness of the samples were characterized. The results showed that the relative density of FeMn13-TiC composite increased with the increase of sintering temperature. The highest relative density (96.19%) and the hardness (70.54 HRC) of the sample were achieved by PECS process, namely sintering at the temperature of 1020oC under the applied pressure of 60 MPa for 5 min.

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Effects of Chromium Content and Impact Load on Microstructures and Properties of High Manganese Steel

Cited by 4 publications

References 3 publications

Predictive Modeling of Hardness Values and Phase Fraction Percentages in Micro-Alloyed Steel during Heat Treatment Using AI

Predictive Modeling of Hardness Values and Phase Fraction Percentages in Micro-Alloyed Steel during Heat Treatment Using AI

Influence of Rare-Earth on the Microstructure and Mechanical Properties of High Manganese Steel Under Impact Load

DENSIFICATION AND MECHANICAL PROPERTIES OF FEMN13-TiC COMPOSITES FABRICATED BY PULSED ELECTRIC CURRENT SINTERING PROCESS

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