The effect of non-metallic inclusions on the mechanical properties of 32 CDV 13 steel and their mechanical stress analysis by numerical simulation

Arreola-Herrera, Rodolfo; Cruz-Ramírez, Alejandro; Rivera-Salinas, Jorge E.; Romero‐Serrano, Antonio; Sánchez-Alvarado, R.G.

doi:10.1016/j.tafmec.2018.01.013

Cited by 31 publications

(14 citation statements)

References 21 publications

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“…1,2 For example, fatigue properties, ductility and fracture toughness are known to be decreased by nonmetallic inclusions, especially in higher-strength, lower-ductility alloys. [3][4][5][6][7] The most important parameters influencing clean steel production are the steel composition, the slag composition, the refractory lining, the melt processing, and the casting practice. 1 The steel composition includes oxygen, nitrogen and sulphur levels in combination with oxide forming (Al, Ca, Si, Mg …), nitride forming (Ti, Nb …) and sulphide forming (Ca, Mn …) elements.…”

Section: Introductionmentioning

confidence: 99%

Nitrogen and nitride non-metallic inclusions in steel

Burja¹,

Koležnik²,

Župerl³

et al. 2019

Mater. Tehnol.

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The paper deals with the formation of coarse nitride non-metallic inclusions in steel. The thermodynamic calculations for the determination of the equilibrium solubility of nitrogen in the steel melt at a given temperature and chemical composition are presented. Some of the negative effects of excessive nitrogen contents, like blow holes, strain aging and, most importantly, nitride non-metallic inclusion formation are discussed. Five types of the coarse nitride non-metallic inclusions that occur in industrial practice are presented: aluminium, boron, niobium, titanium, and zirconium nitrides. Examples of the negative effect of coarse nitrides from case studies are also shown. The basic thermodynamic tools and values of the parameters for calculating the nitride precipitation in the steel melt are given in the paper.

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Section: Introductionmentioning

confidence: 99%

Nitrogen and nitride non-metallic inclusions in steel

Burja¹,

Koležnik²,

Župerl³

et al. 2019

Mater. Tehnol.

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“…Hence, the REV constructed using the slice of the tomographic 3-D image fulfills the representative features of the material to study the macroscopic response, i.e., the effective thermal conductivity [ 6 ]. The binary image after processing (raster image)—a slice of the tomographic 3-D image—was converted to a vector image (v.dx file) to set the computational domain for the FEA, as was done in [ 23 ]. To find the average cell size which suppresses gas convection, the REV size was scaled by 40×, 50×, and 60× in a parametric study to produce a Rayleigh number of 10 3 in at least one of the cells.…”

Section: Finite Element Analysis Of Closed-cell Foammentioning

confidence: 99%

Numerical Study Using Microstructure Based Finite Element Modeling of the Onset of Convective Heat Transfer in Closed-Cell Polymeric Foam

et al. 2021

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The thermal performance of closed-cell foams as an insulation device depends on the thermal conductivity. In these systems, the heat transfer mode associated with the convective contribution is generally ignored, and studies are based on the thermo-physical properties that emerge from the conductive contribution, while others include a term for radiative transport. The criterion found in the literature for disregarding convective heat flux is the cell diameter; however, the cell size for which convection is effectively suppressed has not been clearly disclosed, and it is variously quoted in the range 3–10 mm. In practice, changes in thermal conductivity are also attributed to the convection heat transfer mode; hence, natural convection in porous materials is worthy of research. This work extends the field of study of conjugate heat transfer (convection and conduction) in cellular materials using microstructure-based finite element analysis. For air-based insulating materials, the criteria to consider natural convection (Ra=103) is met by cavities with sizes of 9.06 mm; however, convection is developed into several cavities despite their sizes being lower than 9.06 mm, hence, the average pore size that can effectively suppress the convective heat transfer is 6.0 mm. The amount of heat transported by convection is about 20% of the heat transported by conduction within the foam in a Ra=103, which, in turn, produces an increasing average of the conductivity of about 4.5%, with respect to a constant value.

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“…For the computation of the upper bound E 2 > E 1 , meanwhile, the lower bound is computed by interchanging the subscripts (1,2) in the previous equation. Here, E is the Young's modulus, G is the shear moduli, and φ is the volume fraction.…”

Section: Comparison Of Fea Predictions With Experimental Datamentioning

confidence: 99%

“…Stiff and soft particle inclusions in a matrix have effects that could be considered adverse or beneficial in the physical and mechanical properties of the bulk matrix. For example, hard particles in steel are considered harmful and they often originate the variability of steel properties [1]. On the other hand, the incorporation of ceramic stiffer particles-e.g., SiC, SiO 2 , Al 2 O 3 , and WC-to matrixes such as aluminum alloys reinforce the bulk matrix and metal matrix composites (MMC) arise.…”

Section: Introductionmentioning

confidence: 99%

“…The finite element modeling of micromechanics is an alternative means to analytical models for the simulation of mechanical properties. Finite element analysis has become increasingly more popular and an accurate approach to study different phases and complex morphologies of reinforcement particles in the microstructures [1]. Approaches are the unit cell model (UC) and the representative volume element (REV).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation on the Effect of Porosity in the Elastic Modulus of SiC Particle Reinforced Al Matrix Composites

Rivera-Salinas¹,

Gregorio‐Jáuregui

Romero‐Serrano

et al. 2020

Metals

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Although the porosity in Al-SiC metal matrix composites (MMC) can be diminished; its existence is unavoidable. The purpose of this work is to study the effect of porosity on Young's modulus of SiC reinforced aluminum matrix composites. Finite element analysis is performed based on the unit cell and the representative volume element approaches. The reliability of the models is validated by comparing the numerical predictions against several experimental data ranging in lowand high-volume fractions and good agreement is found. It is found that despite the stress transfer from the soft matrix to the reinforcement remains effective in the presence of pores, there is a drop in the stress gathering capability of the particles and thus, the resulting effective elastic modulus of composite decreases. The elastic property of the composite is more sensitive to pores away the reinforcement. It is confirmed, qualitatively, that the experimentally reported in the literature decrease in the elastic modulus is caused by the presence of pores.

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The effect of non-metallic inclusions on the mechanical properties of 32 CDV 13 steel and their mechanical stress analysis by numerical simulation

Cited by 31 publications

References 21 publications

Nitrogen and nitride non-metallic inclusions in steel

Nitrogen and nitride non-metallic inclusions in steel

Numerical Study Using Microstructure Based Finite Element Modeling of the Onset of Convective Heat Transfer in Closed-Cell Polymeric Foam

Simulation on the Effect of Porosity in the Elastic Modulus of SiC Particle Reinforced Al Matrix Composites

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