Metal Mass Research Articles

Effect of Pd/Cu(Co) ratio on catalytic performance of PdCu(Co)/NC bimetallic catalysts for furfural selective hydrogenation.

PdxCuy/NC and PdxCoy/NC with different metal mass ratios of Pd to Cu (or Co) are synthesized. They (Pd : Cu (or Co) = 3 : 7) show excellent catalytic activity and high selectivity to furfuryl alcohol (FA) (or tetrahydrofurfuryl alcohol (THFA)) under quite mild conditions due to synergistic effect of Pd-Cu (Co)-NC.

Mechanical damage coefficients of corroding reinforcement of an old building based on the residual “effective” area

AbstractCorrosion decreases the metal mass of the rebar, which reduces its bearing section in addition to developing the risk of hydrogen embrittlement of the bars due to the acidity created during active corrosion. To evaluate the residual strength of corroding bars, a framework was proposed in a previous paper to categorize the alternative modes of failure (ductile or brittle), emphasizing the need to calculate first what was named “the effective residual” area to further calculate tensile parameters characterizing the stress–strain curve: yield and tensile strength, modulus of elasticity, and ultimate strain. Using the effective residual area, it is possible to deduce some damage coefficients of each mechanical property by calculating the ratio of corroded/uncorroded condition and deducing if the uncorroded properties of the steel remain or have been degraded by the corrosion process. In the present paper, such an approach has been applied to bars obtained from a historical building around 100 years old. First, stress–strain tests were performed on quasi‐uncorroded and on corroded bars and thereafter, effective residual area is deduced in this case from the weight loss of the bars. With this effective residual area, we then recalculate the mechanical parameters in corrosion conditions and the corresponding damage coefficients.

A Self-Oscillator Based on Liquid Crystal Elastomer Fiber Under Constant Voltage.

Self-oscillation is the phenomenon in which a system generates spontaneous, consistent periodic motion in response to a steady external stimulus, making it highly suitable for applications in soft robotics, motors, and mechatronic devices. In this paper, we present a self-oscillator based on liquid crystal elastomer (LCE) fiber under constant voltage. The system primarily consists of an LCE-liquid metal (LCE-LM) composite fiber, a metal mass sphere, and a straight rod featuring both conductive and insulating segments. Building upon an established dynamic LCE model, we derive the governing dynamic equations. Numerical calculations reveal two distinct motion regimes: a static regime and a self-oscillation regime. Furthermore, we provide the temporal behavior curves of electrothermal-induced contraction and tensile force, the phase trajectories variation curves of the equivalent driving force and damping force. These detailed studies elucidate that self-oscillation results from the contraction of the electrothermal-responsive LCE-LM fiber when the circuit is activated, with continuous periodic motion being sustained through the interplay between the metal mass sphere and a self-controlled dynamic circuit. We also investigate the threshold conditions necessary for initiating self-oscillation, as well as the key system parameters that influence its frequency and amplitude. Our self-oscillator demonstrates improved stability by reducing the effects of gravity and other disturbances. Additionally, the curved trajectory of the mass sphere can be achieved by replacing the straight rod with a curved one, resulting in a more flexible and easily controllable structure. Given these characteristics, a self-oscillator system based on LCE-LM fiber may be ideal for creating monitoring and warning devices, dynamic circuit systems, and for integrating actuators and controllers.

TOI-5005 b: A super-Neptune in the savanna near the ridge

Context. The Neptunian desert and savanna have recently been found to be separated by a ridge, an overdensity of planets in the period range of ≃3–5 days. These features are thought to be shaped by dynamical and atmospheric processes. However, their roles are not yet well understood. Aims. Our aim was to confirm and characterize the super-Neptune TESS candidate TOI-5005.01, which orbits a moderately bright (V = 11.8) solar-type star (G2 V) with an orbital period of 6.3 days. With these properties, TOI-5005.01 is located in the Neptunian savanna near the ridge. Methods. We used Bayesian inference to analyse 38 HARPS radial velocity measurements, three sectors of TESS photometry, and two PEST and TRAPPIST-South transits. We tested a set of models involving eccentric and circular orbits, long-term drifts, and Gaussian processes to account for correlated stellar and instrumental noise. We computed the Bayesian evidence to find the model that best represents our dataset and infer the orbital and physical properties of the system. Results. We confirm TOI-5005 b to be a transiting super-Neptune with a radius of Rp = 6.25 ± 0.24 R⊕ (Rp = 0.558 ± 0.021 RJ) and a mass of Mp = 32.7 ± 5.9 M⊕ (Mp = 0.103 ± 0.018 MJ), which corresponds to a mean density of ρp = 0.74 ± 0.16 g cm−3. Our internal structure modelling indicates that the core mass fraction (CMF = 0.74−0.45+0.05) and envelope metal mass fraction (Zenv = 0.08−0.06+0.41) of TOI-5005 b are degenerate, but the overall metal mass fraction is well constrained to a value slightly lower than that of Neptune and Uranus (Zplanet = 0.76−0.11+0.04). The Zplanet /Zstar ratio is consistent with the well-known mass-metallicity relation, which suggests that TOI-5005 b was formed via core accretion. We also estimated the present-day atmospheric mass-loss rate of TOI-5005 b, but found contrasting predictions depending on the choice of photoevaporation model (0.013 ± 0.008 M⊕ Gyr−1 vs. 0.17 ± 0.12 M⊕ Gyr−1). At a population level, we find statistical evidence (p-value = 0.0092−0.0066+0.0184) that planets in the savanna such as TOI-5005 b tend to show lower densities than planets in the ridge, with a dividing line around 1 g cm−3 , which supports the hypothesis of different evolutionary pathways populating the two regimes. Conclusions. TOI-5005 b is located in a region of the period-radius space that is key to studying the transition between the Neptunian ridge and the savanna. It orbits the brightest star of all such planets known today, which makes it a target of interest for atmospheric and orbital architecture observations that will bring a clearer picture of its overall evolution.

The Application of Sulfur–Metal Mass Ratios in Metal Sulfides in Assessing Prospects for Deep Metallogeny: A Case Study of the Tongshan Copper Deposit in Heilongjiang Province, Northeast China

Sulfur–metal mass ratios (SMMRs) between sulfur and metal elements (Cu, Pb, Zn, Ag, Fe, etc.) in metal sulfides are fixed in idealized compositions, so they should have a relatively fixed proportion in terms of mass without considering the presence of structural defects such as vacancies or substitution elements. Rock bodies with an SMMR of S far greater than the common metal sulfides may contain additional sulfides of other metals. We studied the Tongshan copper deposit in NE China and calculated the mass transfer of various elements in drill hole ZK611 samples. The data show a S influx of 7160 g/t, a Cu influx of 5469 g/t, and an Fe influx of 8796 g/t in the Cu ore body. Below the Cu ores, the average influx is 18,600 g/t of S, 650 g/t of Cu, and 5360 g/t of Fe, which provides an SMMR far above common mineral sulfide values. Further studies indicated that this rock unit contains fine-grained sphalerite and galenite, and when Zn and Pb are included in the rock SMMR calculations, values closer to the mineral sulfides emerge. These results imply that the coordinating balance relationship of S content with Fe and other ore-forming metals could provide direct information for assessing metallogenic prospects.

Diameter controlled fabrication of ultralong silicon wires through regulating metal mass in massive metal-assisted chemical vapor deposition

Abstract The successful fabrication of ultra-long silicon wires has facilitated the study and application of silicon wires. However, research on the controlled fabrication of ultralong silicon wires, such as diameter modulation, is still insufficient. Herein, tapering ultralong silicon wires are synthesized by using a massive metal-assisted chemical vapor deposition method. By altering the mass of the tin catalyst in the growth zone, the length and changing rate of the diameter can be modulated. When a 40 g catalyst is placed in the growth region, the length of obtained silicon wires is 6.6 mm, and the changing rate of diameter with length is 541 nm/mm. When the catalyst mass in the growth region is reduced to 20 g, the length of the products decreases to 4.0 mm, and the changing rate of diameter with length increases to 964 nm/mm. This work proposes a new route for the diameter-modulated fabrication of ultralong silicon wires and will promote their application across various fields.

Preparation of metal-modified carbon-based catalyst and experimental study on catalytic pyrolysis of distillers dried grains with solubles

Distillers dried grains with solubles (DDGS) offer high calorific value, suited for catalytic rapid pyrolysis for energy and chemical applications, yet tar and coke formation during bio-oil upgrading necessitates exploration of cost-effective, durable biocarbon-based catalysts for tar removal. In this study, a carbon-based catalyst was prepared by metal modification of alkaline biochar for catalytic pyrolysis with Distillers dried grains with solubles (DDGS) biomass. Brunauer–Emmet–Teller (BET), X-ray diffraction (XRD), Fourier Transform Infrared (FTIR) were used to characterized the morphology and microstructure of the metal-modified carbon-based catalysts. Pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) was used to analysis the pyrolysis-gas of catalytic pyrolysis. Furthermore, the effects of the loading and metal mass ratio of carbon-based monometallic catalysts (Fe and Co) and carbon-based bimetallic catalysts (Fe-Co) on the distribution of the DDGS pyrolysis products were further investigated. The results showed that the 8 wt% of loading rate of bimetallic catalyst significantly reduced the oxygenated compounds but increased the aromatic hydrocarbons. Compared with pyrolysis without catalyst, when the catalyst was 2Fe6Co (mass ratio of Fe/Co 1:3), the hydrocarbons increased from 36.42 % to 44.53 %, the oxygen-containing compounds decreased from 60.36 % to 52.35 %, and the aromatics increased significantly from 0.73 % to 25.37 %. This study provides a new route of increasing the aromatic hydrocarbon content of catalytic pyrolysis to offer theoretical basis for carbon-based catalysts of biomass conversion.

Isolated Octahedral Pt-Induced Electron Transfer to Ultralow-Content Ruthenium-Doped Spinel Co3O4 for Enhanced Acidic Overall Water Splitting.

The development of a highly active and stable oxygen evolution reaction (OER) electrocatalyst is desirable for sustainable and efficient hydrogen production via proton exchange membrane water electrolysis (PEMWE) powered by renewable electricity yet challenging. Herein, we report a robust Pt/Ru-codoped spinel cobalt oxide (PtRu-Co3O4) electrocatalyst with an ultralow precious metal loading for acidic overall water splitting. PtRu-Co3O4 exhibits excellent catalytic activity (1.63 V at 100 mA cm-2) and outstanding stability without significant performance degradation for 100 h operation. Experimental analysis and theoretical calculations indicate that Pt doping can induce electron transfer to Ru-doped Co3O4, optimize the absorption energy of oxygen intermediates, and stabilize metal-oxygen bonds, thus enhancing the catalytic performance through an adsorbate-evolving mechanism. As a consequence, the PEM electrolyzer featuring PtRu-Co3O4 catalyst with low precious metal mass loading of 0.23 mg cm-2 can drive a current density of 1.0 A cm-2 at 1.83 V, revealing great promise for the application of noniridium-based catalysts with low contents of precious metal for hydrogen production.

Motional Resistance as Highly Selective Descriptor to Probe Dynamic Formation of Surface Films on Zinc Anode

AbstractZinc anodes are expected as a promising alternative to lithium‐based anodes in energy storage systems due to their low cost, high theoretical capacity, and environmental friendliness. However, the development of efficient and stable zinc anode requires a fundamental understanding of the interfacial processes occurring during zinc deposition and dissolution cycling. In this study, we employed electrochemical quartz crystal microbalance (EQCM) analysis to investigate the potential‐dependent formation and decomposition of surface films on zinc metal anodes in sulfate‐based aqueous electrolytes. Changes in frequency and motional resistance served as complementary descriptors, with motional resistance being a highly selective indicator for probing dynamic surface film formation driven by side reactions at the zinc anode. While the frequency change provided the overall changes in the mass of both zinc metal and surface films, changes in the motional resistance selectively reflected the amount and nature of the visco‐elastic interface that comprise the surface films. The two descriptors provide quantitative and complementary means to discover the complex interfacial processes such as the formation of surface visco‐elastic films, guiding to the development of more stable and efficient zinc‐based electrochemical systems.

Estimating metal mass flowrate in gas-atomization for metal powder production

The gas-to-metal ratio (GMR) is considered an important parameter in the gas-atomization process for producing metal powders. Consequently, correlations for estimating the mass median particle size (d50) of powders use GMR as the main parameter. In an industrial setup, it is not easy to measure the melt flowrate to ascertain the GMR. Hence, in this study, we develop a theoretical approach to estimate the melt flowrate and measure it in a pilot setup. Both our theoretical and computational fluid dynamics approaches are in good agreement with the measurements. We then conduct a parametric study to elaborate the effect of certain parameters on the melt flowrate. We believe that the theoretical approach presented here will help to quickly estimate the powder size (d50) expected from a gas-atomization system. This will help to correctly choose geometric and operating parameters to reduce the spread in powder size distribution in an actual application.

Synergistic Elimination of Chlorophenols Using a Single-Atom Nickel with Single-Walled Carbon Nanotubes: The Roles of Adsorption, Hydrodechlorination, and the Electro-Fenton Process.

Electrocatalytic degradation enables the efficient treatment of chlorinated pollutants (COPs); however, its application has been significantly hindered by the large amounts of unsafe intermediate products. In this study, we present a single-atom nickel with single-walled carbon nanotubes (SWCNTs) as an electrochemical reactor for the complete elimination of chlorophenols. Distinct products and reductive mechanisms were observed for Ni-N-C compared to Cu-N-C. Ni-N-C incorporation has a novel degradation pathway for efficient chlorophenol degradation involving hydrodechlorination and the electro-Fenton process. Most importantly, the weak adsorption between the chlorophenols and the SWCNTs promoted their dechlorination by the attached active atomic hydrogen (H*) formed on the Ni-N-C. Meanwhile, the SWCNTs improved the reduction of O2 to H2O2, which was subsequently decomposed by Ni-N-C to form hydroxyl radicals (·OH) for phenol oxidation. As a result, the degradation rate of 4-chlorophenol was increased by 5 and 10 times compared with those of the Ni-N-C and SWCNTs alone, respectively. The first-order reaction rate constant was 2.7 h-1, and the metal mass kinetics constant was 1956.5 min-1g-1. Aromatic COPs containing benzene rings could be degraded, but chloroacetic acids could not. This study demonstrates a new design for multifunctional electrochemical degradation that functions via dechlorination and the ·OH activation mechanism.

Encapsulating Nickel-Iron Alloy Nanoparticles in a Polysilazane-Derived Microporous Si-C-O-N-Based Support to Stimulate Superior OER Activity.

The in situ confinement of nickel (Ni)-iron (Fe) nanoparticles (NPs) in a polymer-derived microporous silicon carboxynitride (Si-C-O-N)-based support is investigated to stimulate superior oxygen evolution reaction (OER) activity in an alkaline media. Firstly, we consider a commercial polysilazane (PSZ) and Ni and Fe chlorides to be mixed in N,N-dimethylformamide (DMF) and deliverafter overnight solvent reflux a series of Ni-Fe : organosilicon coordination polymers. The latter are then heat-treated at 500 °C in flowing argon to form the title compounds. By considering a Ni : Fe ratio of 1.5, face centred cubic (fcc) NixFey alloy NPs with a size of 15-30 nm are in situ generated in a porous Si-C-O-N-based matrixdisplaying a specific surface area (SSA) as high as 237 m2 ⋅ g-1. Hence, encapsulated NPs are rendered accessible to promote electrocatalytic water oxidation. An OER overpotential as low as 315 mV at 10 mA ⋅ cm-2 is measured. This high catalytic performance (considering that the metal mass loading is as low as 0.24 mg cm-2) is rather stable as observed after an activation step; thus, validating our synthesis approach. This is clearly attributed to both the strong NP-matrix interaction and the confinement effect of the matrix as highlighted through post mortem microscopy observations.

Ultrahigh Pt-mass-activity catalyst for alkaline hydrogen evolution synthesized by microwave method in air

Platinum (Pt) metal is widely acknowledged as a highly efficient electrocatalyst for hydrogen evolution reaction (HER) in acidic electrolyte. However, its performance in alkaline environments is significantly lower owing to the sluggish water dissociation step. Herein, we synthesized an ultrahigh Pt-mass-activity alkaline HER catalyst using microwave reduction method in air. Our catalyst, PtRu@CNT, comprises PtRu alloy nanoparticles uniformly loaded on carbon nanotubes, with Pt and Ru contents of 12.3 wt% and 4.5 wt%, respectively. The PtRu alloy nanoparticles have an average diameter of about 3 nm and a face-centered cubic structure, and the introduction of Ru has led to a modified electronic structure in Pt. As a result, an impressively low HER overpotential of 13 mV was achieved, significantly lower than commercial 20 wt% Pt/C (61 mV). PtRu@CNT exhibited a high turnover frequency based on metal mass of 3.06 s−1 at 100 mV, about 6 times higher than commercial Pt/C (0.46 s−1 at 100 mV), highlighting its excellent intrinsic activity. The HER mechanism of PtRu@CNT is a Volmer-Tafel mechanism, where the rate-limiting step changed to the recombination of hydrogen atoms from initial water dissociation, attributed to the presence of Ru. The alkaline HER activity of PtRu@CNT ranks among the best of currently reported Pt-based catalysts.

Metal factories in the early Universe

ABSTRACT We have estimated the mass of metals in the molecular gas in 13 dusty star-forming galaxies at $z \sim 4$ in which the gas, based on previous observations, lies in a cold rotating disc. We estimated the metal masses using either the submillimetre line or continuum emission from three tracers of the overall metal content – carbon atoms, carbon monoxide molecules, and dust grains – using the first simultaneous calibration of all three tracers. We obtain very similar mass estimates from the different tracers, which are similar to the entire metal content of a present-day massive early-type galaxy. We used the dynamical masses of these galaxies to estimate an upper limit on the mass of the molecular gas in each galaxy, allowing us to estimate a lower limit on the metal abundance of the gas, finding values for many of the galaxies well above the solar value. We show that the high metal masses and metal abundances are what is expected shortly after the formation of a galaxy for a top-heavy IMF. We suggest a scenario for galaxy evolution in which massive galaxies reach a high metal abundance during their formation phase, which is then gradually reduced by dry mergers with lower mass galaxies. We show that the metals in the outflows from high-redshift dusty star-forming galaxies can quantitatively explain the long-standing puzzle that such a large fraction of the metals in galaxy clusters ($\simeq$0.75) is in the intracluster gas rather than in the galaxies themselves.

Biomonitoring of urban industrial pollution using total reflection X‐ray fluorescence

AbstractEnvironmental pollution as a result of industrial activity is widespread in many urban areas including Chicago. In an effort to evaluate the heavy metal fraction originating from industrial activities, plant samples of Daucus Carota or wild carrot were collected at or adjacent to six sites located in two of Chicago's designated industrial corridors. Plants, especially herbaceous species, have been deemed suitable as environmental pollution monitors as they are able to provide information about the heavy metal fraction accessible to biota. The leaves of Daucus Carota were acid digested and analyzed with total reflection X‐ray fluorescence spectrometry TXRF. The results showed elevated heavy metal mass fractions for at least one collection site which is close to an operational railyard. Other studies investigating heavy metals in proximity to railroad operations found elevated mass fractions for several elements, but specifically manganese as well. This suggests that abrasion from shunting and breaking releases certain pollutants into the local environment. The data were compared with studies executed in Rome, Italy, and Pakistan, which used Daucus Carota to evaluate heavy metal pollution. It was found that the heavy metal mass fractions obtained for Chicago were higher for some elements indicating an increased pollutant burden for these elements. The same samples were also analyzed by graphite furnace atomic absorption spectrometry GFAAS for the elements copper and lead and the data compared. Those two elements were chosen as they were present at each location and GFAAS has proven to be highly sensitive for them. It was found that the two methods provided comparable results for copper, whereas for lead, TXRF overestimated the mass fractions most likely due to limitations of the spectra evaluation software. The analysis of a certified reference material ‘BCR 679 white cabbage’ showed that most data obtained by TXRF were in good agreement with the certified values, with the exception of lead, which was not certified. However, since GFAAS has high sensitivity toward lead and is considered reference method for that element by regulatory agencies, a comparison between GFAAS and TXRF data for lead in the same sample can serve as good indicator for TXRF performance.

Modelling the hot metal desulfurization process using artificial intelligence methods

The objective of conducted research on the hot metal desulfurization process was to determine the key process parameters that impact the ultimate outcome of desulfurization. As a result, the noticeable outcome of implementing these measures should be the improvement of quality control. In order to determine these parameters, used artificial intelligence methods like as neural networks (ANN). On the basis of the production data collected from the actual metallurgical aggregate for hot metal desulfurization, neural networks were built that used quantitative data (mass of hot metal, mass of used reagents, etc.) and qualitative data (chemical analysis of hot metal). The parameters of the desulfurization process were divided into state parameters and control parameters. From the point of view of the technology of conducting the desulfurization process and building an on-line model, only control parameters can be changed during desulfurization. To describe the problem of predicting change in the sulfur content during the hot metal desulfurization process is sufficient an MLP type neural network with a single hidden layer. Adopting a more complex network structure would probably lead to a loss of the ability to generalise the problem. The research was carried out in STATISTICA Automated Neural Networks SANN.

Technology of flame‑induction heating of ferrous metal shavings in hot briquetting installations

As a result of the study of flame‑induction heating of steel and cast iron shavings, optimal heating modes, dimensions of the furnace and the ratio of the sizes of its components (gas‑flame and induction heaters) were established, which served as the basis for the development of a new heating technology, which ensures minimization of dimensions in comparison with known analogues, increasing the productivity and efficiency of the furnace. It has been established that at the stage of evaporation and removal of water vapor and light oil fractions from the chips in the temperature range of 100–550 °C until the optimal oil concentration of 1.5–3.0 % is achieved, among all known methods of muffle heating, gas‑flame heating is the most economical and productive heating, and subsequently, when heating a dehydrated porous mass of metal with a density of 1100–1700 kg/m3 to 850 °C – induction heating in an atmosphere of products of thermal sublimation and destruction of coolant. It is advisable to carry out induction heating with a current frequency of 2.0–2.4 kHz with a ratio of the lengths of the gas‑flame and induction heating zones of 2.0–2.5 and the dimensions of the inductor (height to hole diameter) of 3.7–4.0. The degree of oxidation of hot‑pressed briquettes corresponds to the initial oxygen content in the chips: for steel – 1.3–1.7 %, for cast iron – 0.46–0.47 %. The data obtained made it possible to develop a technology for flame‑induction heating of ferrous metal shavings, as well as the design of a small‑sized furnace with a specific productivity of 6500–9500 kg/m2·h and an efficiency of 40–45 %.

A comparison of batch and semi-batch reactors for leaching battery cathodes (LiCoO2) under controlled addition of HCl and H2O2

Recovery of cobalt and lithium from end-of-life Li-ion battery wastes have been evaluated in batch and semi-batch leaching systems. In this preliminary study, HCl and H2O2 were used as leaching and reducing agents, respectively. The comparison of batch and semi-batch processes was carried out, obtaining an improvement from 40% to 70% in the metal mass extracted (i.e. Co and Li) for semi-batch experiments under the same experimental conditions. Effects of the initial concentration of reducing and leaching agents were evaluated for a semi-batch system in which the acid was continuously fed to maintain a constant pH value. From experimental results, it was found that the concentration of H2O2 plays an important role in the leaching process in terms of selectivity. For the experiments carried out using 0.1 M of HCl and 1 M of H2O2, the percentage of Li and Co extracted was 90% for a leaching time of 30 min. The double-controlled addition of HCl and H2O2 to the semi-batch system allows the reduction of the H2O2 concentration to 0.5 M. The optimization of reactants entails not only the decrease of their consumption but also maximize the selectivity of the reactions desired, which represents promising results for the environmental sustainability of the process. Further work will examine the fate of chloride ions in the process.

Coupling imaging mass cytometry with Alcian blue histochemical staining for a single-slide approach.

Imaging mass cytometry (IMC) is a metal mass spectrometry-based method allowing highly multiplex immunophenotyping of cells within tissue samples. However, some limitations of IMC are its 1-µm resolution and its time and costs of analysis limiting respectively the detailed histopathological analysis of IMC-produced images and its application to small selected tissue regions of interest (ROI) of one to few square millimeters. Coupling on a single-tissue section, IMC and histopathological analyses could permit a better selection of the ROI for IMC analysis as well as co-analysis of immunophenotyping and histopathological data until the single-cell level. The development of this method is the aim of the present study in which we point to the feasibility of applying the IMC process to tissue sections previously Alcian blue-stained and digitalized before IMC tissue destructive analyses. This method could help to improve the process of IMC in terms of ROI selection, time of analysis, and the confrontation between histopathological and immunophenotypic data of cells.

Effect of discretization choices when modeling the thermo-chemical history of the accreting core

Different discretizations methods applied to models of core/mantle segregations are tested (single stage, multistage accretion, results of N-body simulations) in order to test the sensitivity of the thermo-chemical coupling to the type of discretization used. We found that while single stage and large discretization of segregation steps yield very different core temperature, multistage models of accretion and core mantle segregation, at least for the model presented in this paper, tend to yield similar results, whether it is for the light element concentrations or the final temperature of the core. As long as a magma ocean existence throughout the entire process of core/mantle segregation is posited, and that only the impactor's masses of metal and silicate are re-equilibrated at each step, the degree of discretization of continuous model does not matter as long as it encompasses more than 10 steps of calculations.