Abstract:The influence of silicon on j-carbide precipitation in lightweight austenitic Fe-30Mn-9Al-(0.59-1.56)Si-0.9C-0.5Mo cast steels was investigated utilizing transmission electron microscopy, 3D atom-probe tomography, X-ray diffraction, ab initio calculations, and thermodynamic modeling. Increasing the amount of silicon from 0.59 to 1.56 pct Si accelerated formation of the j-carbide precipitates but did not increase the volume fraction. Silicon was shown to increase the activity of carbon in austenite and stabiliz… Show more
“…A model is applicable to predict the lattice misfit of these phases [19]. According to the orientation relationships between phases revealed by TEM (Figure 3 The low lattice misfit between κ-carbide and grain is able to produce excellent mechanical properties [1,20,21]. On the other side, the low lattice misfit means small elastic strain energy.…”
Abstractκ-carbide in lightweight steel is studied. Its thermal stability, crystal morphology, orientation relationship, degree of lattice misfit and mechanical properties are measured experimentally. The mechanisms for the microstructural evolution of κ-carbide are considered based on the crystal structure, lattice misfit, element diffusivity, and solute partition. The hard γ/κ grain and ductile α+κ grain provide an opportunity to develop the lightweight steels with desirable combination of mechanical properties.
“…A model is applicable to predict the lattice misfit of these phases [19]. According to the orientation relationships between phases revealed by TEM (Figure 3 The low lattice misfit between κ-carbide and grain is able to produce excellent mechanical properties [1,20,21]. On the other side, the low lattice misfit means small elastic strain energy.…”
Abstractκ-carbide in lightweight steel is studied. Its thermal stability, crystal morphology, orientation relationship, degree of lattice misfit and mechanical properties are measured experimentally. The mechanisms for the microstructural evolution of κ-carbide are considered based on the crystal structure, lattice misfit, element diffusivity, and solute partition. The hard γ/κ grain and ductile α+κ grain provide an opportunity to develop the lightweight steels with desirable combination of mechanical properties.
“…The quantum-mechanical structure optimizations are performed based on calculations of lowest-energy states of the electron structure and thus, are conducted at 0 K. Results from ab initio approaches employing DFT have offered good results that are in line with experimental evidence. For example, Mössbauer spectroscopy [17], atom-probe tomography (APT) [42], in situ synchrotron X-ray diffraction measurements [23], and correlative TEM/APT approaches [43] have shown that results from ab initio simulations employing DFT are applicable to systems containing nano-sized κ-carbides that are usually formed during isothermal annealing at temperatures of 600 • C and above. Generally speaking, the effect of temperature changes on the lattice parameter and on intrinsic material properties that derive from electron effects like electrical conductivity is often approximated to be linear [44].…”
An ab initio-based model for the strength increase by short-range ordering of C-Mn-Al clusters has been developed. The model is based on ab initio calculations of ordering energies. The impact of clusters on the yield strength of high-manganese austenitic steels (HMnS) is highly dependent on the configurational structure of the cells that carbon atoms will position themselves as interstitial atoms. The impact of the alloying elements C, Mn, and Al on the potential and actual increase in yield strength is analyzed. A model for the calculation of yield strengths of HMnS is derived that includes the impact of short-range ordering, grain size refinement, and solid solution strengthening. The model is in good agreement with experimental data and performs better than other models that do not include strengthening by short-range ordering.
“…Silicon was shown by ab initio calculations and experimental results to increase the activity of carbon in austenite and stabilize the j-carbide at higher temperatures. 18 The repulsive Si-C interaction was responsible for increasing the partitioning coefficient of carbon in j-carbide from 2.1 to 2.9 in 0.59% and 1.56% Si steels aged 60 h at 530°C. 18 Silicon was shown to partition to austenite during aging and decrease the austenite lattice parameter.…”
Section: Age Hardeningmentioning
confidence: 96%
“…18 This study used a combination of transmission electron microscopy (TEM), 3-D atom probe tomography (APT), x-ray diffraction (XRD), and first principles modeling to study the precipitation. In solution-treated specimens, XRD and TEM results confirmed that, regardless of Si content, no spinodal decomposition or short-range ordering within the austenite had taken place.…”
Section: Age Hardeningmentioning
confidence: 99%
“…17 Adding silicon has also been shown to increase the strength and hardness during aging but decrease work-hardening rates. 10,11,18 High-strain-rate fracture in these lightweight steels is also a function of phosphorus content and melt cleanliness. Phosphorus in levels greater than 0.06% P greatly increases the kinetics of age hardening but sharply decreases the Charpy V-notch (CVN) impact toughness by as much as 80%.…”
Lightweight advanced high strength steels (AHSS) with aluminum contents between 4 and 12 weight percent have been the subject of intense interest in the last decade because of an excellent combination of high strain rate toughness coupled with up to a 17% reduction in density. Fully austenitic cast steels with a nominal composition of Fe-30%Mn-9%Al-0.9%C are almost 15% less dense than quenched and tempered Cr-Mo steels (SAE 4130) with equivalent strengths and dynamic fracture toughness. This article serves as a review of the tensile and high-strain-rate fracture properties associated mainly with silicon additions to this base composition. In the solution-treated condition, cast steels have high work-hardening rates with elongations up to 64%, room-temperature Charpy V-notch (CVN) impact energies up to 200 J, and dynamic fracture toughness over 700 kJ/m 2 . Silicon additions in the range of 0.59-1.56% Si have no significant effect on the mechanical properties of solution-treated steels but increased the tensile strength and hardness during aging. For steels aged at 530°C to an average hardness of 310 Brinell hardness number, HBW, increasing the amount of silicon from 1.07% to 1.56% decreased the room temperature CVN breaking energy from 92 J to 68 J and the dynamic fracture toughness from 376 kJ/m 2 to 265 kJ/m 2 . Notch toughness is a strong function of phosphorus content, decreasing the solutiontreated CVN impact toughness from 200 J in a 0.006% P steel to 28 J in a 0.07% P steel. For age-hardened steels with 1% Si, increasing levels of phosphorus from 0.001% to 0.043% decreased the dynamic fracture toughness from 376 kJ/m 2 to 100 kJ/m 2 .
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