Home The Interaction between Erosion Particle and Gas Stream in High Temperature Gas Burner Rig for Thermal Barrier Coatings
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The Interaction between Erosion Particle and Gas Stream in High Temperature Gas Burner Rig for Thermal Barrier Coatings

  • H. Wu , M. Tan , W. Zhu EMAIL logo and Z. S. Ma EMAIL logo
Published/Copyright: August 29, 2018

Abstract

Thermal barrier coatings (TBCs) as a kind of temperature-resistance materials have been widely applied in super high temperature components in aircraft engines. However, TBCs are subjected to harsh service environment such as high temperature oxidation and erosion, which lead to the coating failure. It is important to investigate the effect of fire temperature, angle and velocity of particle on erosion to understand the failure mechanism. In this paper, the temperature and velocity distributions of erosion particles in high temperature gas burner rig are investigated by using the fluid–solid coupling method with the discrete random walk model. The results show that a non-uniform distribution of temperature appears in different positions of the central axis, and the temperature of particle is affected obviously by the gas stream and particle size. The trajectory of particles and velocity diagrams under different particle size are determined by coupling the continuous phase with the erosion particles.

Introduction

The high inlet temperature is a key character of advanced aircraft engines whose performances are determined by the thermal insulation protection technology of hot components. Monocrystalline materials, film cooling and thermal barrier coatings (TBCs) are regarded as the three thermal insulation protection technologies. However, monocrystalline materials and film cooling almost have reached their technology limitations. Further increases in the thermal efficiency, thrust-to-weight ratio and durability of aircraft engines will rely on further improvement in TBCs [1]. Geometric structures of TBCs include three layers: a thermal-resistant ceramic coating (TC), an adhesion-enhanced bond coating (BC) and a mechanical-withstand superalloy substrate. Though TBCs can sharply increase the service temperature of superalloy substrate, coating spallation is always the bottleneck of TBCs. On the one hand, huge residual stress arises in TBCs during a longtime exposure in service environment due to huge differences between their thermal and mechanical properties. On the other hand, TBCs usually withstand the harsh environment, which includes high temperature, thermal shock, oxidation, erosion and CaO–MgO–Al2O3–SiO2 (CMAS) corrosion [2, 3, 4, 5], which may lead to cracking and spallation. Interfacial oxidation is thermally grown oxide (TGO) formed between TC and BC due to diffusion and reaction of oxygen and metal aluminum during a longtime thermal exposure. CMAS corrosion is that, as the temperature is higher than 1250 °C, the CMAS depositions melt and penetrate into the TBCs. This penetration affects the microstructure, mechanical behavior and composition of coating and then induces the interfacial delamination of the coating from the substrate [6, 7, 8, 9, 10]. However, the complicated environment is very difficult to be simulated by the conventional experimental method, especially for thermal shock and high temperature erosion. Therefore, it is urgent to develop the service environment simulation system of TBCs to investigate the failure mechanism.

The simulations of thermal shock and high temperature erosion are realized by the special designed spray gun. For example, the burning gas (such as, C2H2, CH4) and combustion-supporting gas (O2) are mixed in the combustion chamber, then the mixed gas are fired and sprayed on the TBCs surface by the spray gun. As the erosion particles are added through the spray gun, the particles accelerate with the high temperature flow and impact on the TBCs surface. This process is used for erosion simulation. The relevant erosion simulation systems were established to simulate the high temperature erosion environment. Such as, NASA developed the high velocity combustion device, whose velocity can reach Mach 0.3–1.0 [11]. Canada’s National Research Council (NRC) built the dynamic simulation system (LCS-4C), which can simulate the process of thermal shock and erosion [12, 13]. The high temperature tunnel equipment was established by German’s Helmut Schmidt University. The high temperature erosion with different erosion angle and velocity can be simulated in virtue of this equipment [14]. It can be seen that it is the main simulation process of service that the high temperature flow carry the particles to accelerate and spray on a specimen. Therefore, in order to understand the failure mechanism of erosion, it is important to investigate the effect of fire temperature, angle and velocity of particles on erosion.

In the experiment, the fire temperature can usually be obtained by the thermocouple. By tracking the particle trajectory, the particle velocity can be gotten using the high speed camera [13, 14, 15, 16, 17, 18, 19, 20]. However, the above methods are only suitable for the measurement of local region temperature and velocity. Furthermore, it is difficult to investigate the interaction between fire and particles. Numerical simulations have been an attractive tool to understand the mechanisms of the distributions of temperature and velocity of gas stream and particle as well as erosion process of TBCs. Based on the numerical simulations, the distributions of temperature and velocity of gas stream and particle as well as the process of thermal shock and erosion can be obtained. Zhu et al. [11] have investigated the erosion mechanisms based on the newly established erosion burner rig testing in simulated sand ingestion environments. Also, in order to optimize our own spray gun rig of thermal shock and high temperature erosion, it is urgent to establish a solid-fluid two-phase model to investigate the complex interaction between erosion particle and gas stream in it.

In this work, a finite element model of a spray gun used for high temperature erosion is built up to investigate the distributions of temperature and velocity of gas stream and particle. Firstly, the k-ε turbulence model is used to investigate the distributions of temperature and velocity field of high temperature gas stream in the condition of different Mach number. Thereafter, the motion characteristics of the erosion particles from the gas stream are simulated based on the discrete random walk model. The temperature distributions of gas stream and erosion particle are obtained. Finally, the effects of different Mach number and particle diameter on the velocity and temperature fields are discussed, which lay the foundation for the design of spray gun.

Procedure description

The fluid model

In the flow field, the pressure and velocity are intercoupling. For a two-dimensional steady state coupling, the solution of pressure and velocity are governed by compressible flow Navier-Stokes equations [21]

(1)D(ρfv)Dt=gradp+div(μfgradv)+SM

where the ρf and μf are density and dynamic viscosity of fluid, respectively. p is pressure, v is the velocity vector, and SM is the source item of momentum conservation equation.

Due to the violent heat transfer of high temperature erosion, energy conservation must be satisfied, which is governed by energy conservation law [22]

(2)ρfTft+divρfvTf=divkfcpgradTf+Sϕ

where cp is the specific heat of fluid,Tf is the temperature of flow field and Sϕ is the source item of energy equation.

Owing to the high Reynolds number and thin viscosity, the combusting gas can be assumed to be ideal gas in combustion chamber, which has been accepted by many researchers of this field. The equations of state are followed by

(3){p=RρfTfef=cpTf

where R and ef are the ideal gas constant and internal energy.

According to mass, momentum, energy conservation equations and the equations of state, fundamental physics parameters of flow field including velocityvi, temperature Tf and pressure p can be obtained [23, 24]. In the flow field, the Reynolds number is in the range of 10,000–20,000, the realizable k-ε turbulence model is selected to describe the turbulent flow.

The particle model

Particle dynamic model

Assuming that the force imposed on the particle is linear, the acting force on the particle includes the drag force due to the velocity difference between the particle and the gas stream, force owing to temperature and pressure gradients [24, 25, 26, 27, 28, 29, 30, 31]. The equation of motion for particles can be obtained from the Newton’s second law

(4)F=mdupdt

where F is the acting force imposed on the particle, of which the drag force plays the leading role. Therefore, only the drag force is considered in this work for the sake of simplification, which is described by [24]

(5)FD=12ρgCDSugupugup

where ρg is the gas density, S is the effective loading area of particles. ug and up are gas and particle velocity, respectively. CD is a drag coefficient, which is specified by [24, 32]

(6)CD=24Re1+0.15Red0.687
(7)Re=ρgdugupμg

where Re is the Reynolds number based on particle diameter, d is the particle diameter and μg is gas viscosity.

Then, the equation of motion for particles can be rewritten as

(8)dupdt=FDmp=18ρgRedppp1+0.15Red0.687ugupugup

Discrete random walk model

As mentioned, the Reynolds number is in the range of 10,000–20,000 in the flow field, while the particle is driven by the gas flow. Therefore, to ascertain the motion of particle obey the characteristic distribution and extent of turbulence. The equation of motion for particles considering the effect of turbulence is described by the discrete random walk model (DPM), which discrete the variation of velocity with the fluctuation of the turbulent flow as a function of time.

Assuming that the force imposed on the particle is linear, the particle locus equation is specified by

(9)dxdt=uP

Due to the velocity difference between particle and gas stream, the equation of motion for particles can be simplified as

(10)dupdt=ugupτp

where τp is the relaxation time of particle. The discretization form of eq. (10) is

(11)upn+1upnΔt=1τuupn+1+
(12)u=12un+un+1
(13)un+1=un+upnΔtun

Based on the finite difference method, the discrete eq. (11) is solved by using eqs. (12) and (13) for a given time. The approximate solution of velocity and location for particle can be obtained.

Conjugate heat transfer

During the high temperature erosion, there is heat transfer occurring between the gas flow and particle. It is worth noting the following assumptions are introduced: (1) The system is an energy conservation system; (2) The above process satisfies the law of mass conservation; (3) Only the thermal convection is considered between the gas-solid two-phase flow, and the thermal radiation is not taken into account.

Due to radiation from the surroundings to particles is negligible, which compared to the convective heat flux between the gas flow and the particle, therefore, the particle is treated as isothermal. The heating rate is described by [33]

(14)dTPdt=6hCppρpdpTfTp

where Tf and Tp are the temperature of gas flow and particle, respectively. h is the convection coefficient, which is described by Nusselt number [34]

(15)h=λgNudp

Nusselt number is specified by

(16)Nu=2+0.6Re0.5Pr13

Prandtl number is given by [33]

(17)Pr=μgCpgλg

where λg is the thermal conductivity of flow, the Cpg is the specific heat capacity of the gas flow, and μg is the coefficient of kinetic viscosity of the gas flow.

Substituting eqs. (15) – (17) into eq. (14), eq. (18) can be obtained:

(18)dTPdt=6λgTfTpCppρpd2p2+0.6ugupμg12Cpgμgλg13

For the above equation, the derivative of temperature-time is transformed into the differential of the moving distance of the particle. Moreover, taking the absolute value of the velocity difference between the gas flow and the particle:

(19)dTPdt=dTpdxdxdt=6λgTfTpCppρpd2p2+0.6ugupμg12Cpgμgλg13up

It can be seen from the above equation, the temperature of particle is associated with its density, diameter, specific heat, density and specific heat of gas stream, the velocity difference of gas stream and particle. The smaller particles diameter, specific heat and density are, the faster heating in the field of gas stream. Based on the conjugate heat transfer analysis, the temperature field of particle is obtained by using the software of FLUENT.

Model development

Geometric description

A schematic representation of the spray gun is shown in Figure 1. The structure of spray gun consists of five parts: the intake system of fuel gas and combustion air, mixture chamber, combustion chamber, particles injection channel and the water-cooled system of Laval nozzle. The fuel gas and combustion air are premixed in the mixture chamber, then the mixed gas are fired in the combustion chamber. At the same time, erosion particles are injected through the channel. The high temperature gas stream and particles are accelerated by the Laval nozzle and sprayed out through the nozzle. The water-cooled system of Laval nozzle is running with the temperature of 10°C in order to prevent the nozzle overheating. Based on the structure of spray gun, the computational geometry model is established (see Figure 2). Taking symmetry into account, the two-dimensional axisymmetric finite element model is considered. All dimensions are in millimeters.

Figure 1: Schematic illustration of spraying gun.
Figure 1:

Schematic illustration of spraying gun.

Figure 2: Geometry of computational region.
Figure 2:

Geometry of computational region.

Material property

During the high temperature erosion, the particles carried by gas mixture include: Al2O3, CaO, MgO and unburned carbon particles. In this work, the CaO particles are selected as the erosion particles. The detailed material properties of CaO are given in Table 1. It should be noted that, some assumptions are adopted in the erosion process: (1) The collisions between particles are not taken into account; (2) There is no fracture occurs in the particle as the particle impact on the wall; (3) The volume of particles is neglible. The initialization parameters of particle are shown in Table 2.

Table 1:

Thermal properties of Cao.

Density (kg/m3)Ratio of specific heat capacities (J/kg· K)Heat conductivity (W/m· K)
33207832.25
Table 2:

Initial parameters of particle.

Initial conditions
Injection typePerpendicular to surface
Diameter distributionUniform distribution
X-Velocity(m/s)5
Y-Velocity (m/s)−30
Diameter (µm)10, 20, 50, 75
Temperature (K)300
Mass flow rate (kg/s)0.001

Meshing and boundary conditions

The grid is generated by the GAMBIT of FLUENT. The structured quadrilateral grid is adopted to the model and the finite element model of the geometric which shows that the grid has 69,005 total nodes and 135,590 total cells in Figure 3. Finer grid is used around the drastic change zones (such as, the inlet of nozzle, outlet and the central zone of jet flow) in the flow field to improve the accuracy of simulation results. There are four different types of boundary conditions: the inlet boundary, the outlet boundary, the solid wall boundary and the axisymmetric boundary. The total temperature (Tt,inlet), total pressure (Pt,inlet) and static pressure (Ps,inlet) are fixed at the inlet boundary; the average static-pressure (Ps,outlet) is given at the outlet boundary; at the solid wall, the no-slip boundary condition is adopted. The detailed parameters of boundary conditions are presented in Table 3.

Table 3:

The detailed parameters of boundary conditions.

Mach numbersTotal temperature(K)Total pressure(MPa)Static-pressure(MPa)Average static-pressure(Pa)Turbulence intensity
0.316001.211.101.013×1054.9%
0.516001.341.241.013×1055.09%
0.916001.871.761.013×1055.19%
Figure 3: Grid of geometry region (a) grid of computational region (b) grid of the nozzle.
Figure 3:

Grid of geometry region (a) grid of computational region (b) grid of the nozzle.

Results and discussions

The evolution of temperature

Figure 4 shows the contours of temperature distribution of gas stream in the inlet condition of Mach 0.3. It can be seen that the temperature of the gas stream falls drastically as the gas stream ejecting from the Laval nozzle. This is because that the intense interaction between high energy gas stream and air leads to the heat loss. Moreover, the more distant the gas stream far away from the spray gun, the lower the temperature value is. In addition, the temperature distributions of gas stream along the axial direction at different Mach number are given in Figure 5. It is found that the temperature of gas stream drops more quickly at the outlet of the nozzle with the increase of the Mach number. This is attributed to that the interaction between gas stream and air is more intense at the high Mach number, which results in much more energy loss.

Figure 4: The contours of gas temperature at Mach 0.3.
Figure 4:

The contours of gas temperature at Mach 0.3.

Figure 5: Gas temperature profiles from Mach 0.3 to Mach 0.9.
Figure 5:

Gas temperature profiles from Mach 0.3 to Mach 0.9.

Comparisons of temperature distribution of different particles along the axial direction in the condition of different Mach number are shown in Figure 6. The erosion particle is injected through the spray gun and heated by the gas stream. The temperature variation of particle is similar to that of gas stream. The temperature of particle follows that of gas stream temperature. However, due to the heat transfer delay between the high temperature gas stream and particle, the decrease of particle temperature does not synchronize with that of gas stream temperature. Furthermore, the particle temperature is even higher than that of the gas stream as the distance is far from the spray gun. For the case of Mach 0.3, the particle temperature follows the gas stream temperature as the particle size is small. The particle temperature rises and then drops quickly. The highest temperature of particle is approximately 1513 K as its size is 10 μm. With the increase of particle size, the heating rate of particle slows down. As the particle size reaches 75 μm, the highest temperature of particle is 820 K. Furthermore, with the increase of particle size, there is an obvious asynchronism of temperature variation between the high temperature gas stream and particle. As the particle size is more than 50 μm, the particle temperature rises with the distance from the spray gun, whereas the gas stream temperature drops when the distance is far from the spray gun. Temperature distribution of different particle size along the axial direction are almost is irrelevant to the Mach number. The effect of Mach number on the temperature distribution of different particle size can be neglected.

Figure 6: Gas temperature versus to particle temperature for different size particles at different Mach numbers: (a) Mach 0.3, (b) Mach 0.5 and (c) Mach 0.9.
Figure 6:

Gas temperature versus to particle temperature for different size particles at different Mach numbers: (a) Mach 0.3, (b) Mach 0.5 and (c) Mach 0.9.

The evolution of velocity

The contours of velocity distribution of gas stream at Mach 0.3 is shown in Figure 7. As the gas stream passes through the Laval nozzle, the velocity of gas stream increases drastically and is up to its maximum caused by the special structural design of nozzle, then drops quickly from the nozzle. When the distance is far from the Laval nozzle, the velocity is rather minimal due to the energy dissipation of interaction between the gas stream and air flow. Velocity distribution of flow field along the axial direction is smooth, which is seen to be streamlined. Velocity distribution of gas stream along the axial direction at Mach 0.3, Mach 0.5 and Mach 0.9 are shown in Figure 8. It can be seen that the gas velocity distribution at different Mach number are similar but the magnitude are different. The difference in Mach numbers affects the magnitude of the initial velocity of gas stream. Owing to the acceleration effect of Laval nozzle, the gas stream velocity rises sharply. The larger the Mach numbers, the more obvious the acceleration effect is. As the Mach number is 0.3, the maximum gas stream velocity is 250 m/s. When the Mach number reaches 0.9, the gas stream velocity rises to 550 m/s. While as the distance is far away from the Laval nozzle, the gas stream falls quickly with the increase of Mach number. Finally, when the distance far from the Laval nozzle reaches 0.52 m, the gas stream velocity are all close to zero.

Figure 7: The contours of gas velocity at Mach 0.3.
Figure 7:

The contours of gas velocity at Mach 0.3.

Figure 8: Plot of gas velocity at Mach 0.3–Mach 0.9.
Figure 8:

Plot of gas velocity at Mach 0.3–Mach 0.9.

Based on the simulation of the coupled interaction between the gas stream and the particle, velocity distributions of gas stream and particle along the axial direction at Mach 0.3, Mach 0.5 and Mach 0.9 can be obtained (see Figure 9). The erosion particles are added through the spray gun and accelerated by the gas stream due to the momentum transfer, then the mixture of gas and particle are injected by the spray gun. The velocity has two features: (1) The velocity of gas stream is larger than that of the velocity of particle before the mixture of gas and particle are injected by the spray gun. As the distance is far away from the Laval nozzle, the particle velocity is even larger than that of gas stream. This phenomenon is much more obvious with increasing of the Mach number; (2) The accelerated velocity rises with the increase of the Mach number and the acceleration distance of particles is longer. This is associated with the results of the force imposed on the particle. Furthermore, the smaller the particle size, the larger the accelerated velocity is.

Figure 9: Gas velocity versus to particle velocity for different size particles at different Mach numbers: (a) Mach 0.3, (b) Mach 0.5 and (c) Mach 0.9.
Figure 9:

Gas velocity versus to particle velocity for different size particles at different Mach numbers: (a) Mach 0.3, (b) Mach 0.5 and (c) Mach 0.9.

The contours of velocity distribution of particle are shown in Figure 10. It shows that as the distance from the Laval nozzle reach 50 and 110 μm, the particle velocity are 148 m/s and 153 m/s at Mach 0.3, 198 m/s and 212 m/s at Mach 0.5, respectively. The simulations of particle velocity are compared with that obtained by the erosion experiment. It is found that the simulation results are comparable to the experimental values (see Figure 11), which confirms the validity of this simulation.

Figure 10: 10 um particle distribution of velocity at different Mach number: (a) Mach 0.3 and (b) Mach 0.5.
Figure 10:

10 um particle distribution of velocity at different Mach number: (a) Mach 0.3 and (b) Mach 0.5.

Figure 11: Representative photograph of the particle velocity (a) Mach 0.3 and (b) Mach 0.5 [11].
Figure 11:

Representative photograph of the particle velocity (a) Mach 0.3 and (b) Mach 0.5 [11].

Conclusions

A 2D numerical model of burner has been developed to investigate the temperature and velocity distribution regularities by a fluid-solid coupling method. A reasonable turbulence model (realizablek-ε) has been selected to describe the internal flow field. Based on the finite volume method, the evolution of temperature and velocity distribution have been obtained by solving the equations (such as, N-S, the fluid-solid coupled dynamics, conjugate heat transfer). The main conclusions include:

(1) A non-uniform distribution of temperature appears in different positions of the central axis. There is about 600 to 800 K for temperature difference of gas stream between the entrance and distal jet at Mach 0.3–Mach 0.5, which revealed that the temperature fall along the central axis, especially falling with the increases of Mach number. Also particles temperature is affected obviously by the gas stream and particle size.

(2) Due to the special mechanical structure of Laval nozzle, the velocity of gas stream has a surge in the throat of nozzle. Moreover, the maximum of velocity increase with the increase of Mach number. The velocity is trend to a approximated value in the distal end. Also, the velocity of particles is affected obviously by the gas stream and their own particle size.

(3) The simulation results reveal the variations of velocity and temperature of gas stream and particle under the erosion process, and provide a theoretical guidance for the subsequent gun design and feed of simulation experiment.

Acknowledgements

This work was supported by the National Natural Science Foundationof China (grant No. 11602211), the Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ3307), and the Outstanding Youth Foundation of Hunan Provincial Education Department (Grant No. 16B249).

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Received: 2017-11-18
Accepted: 2018-05-22
Published Online: 2018-08-29
Published in Print: 2019-02-25

© 2019 Walter de Gruyter GmbH, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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  20. Growth Kinetics of CoB–Co2B Layers Using the Powder-Pack Boriding Process Assisted by a Direct Current Field
  21. High-Temperature Flow Behaviour and Constitutive Equations for a TC17 Titanium Alloy
  22. Research on Three-Roll Screw Rolling Process for Ti6Al4V Titanium Alloy Bar
  23. Continuous Cooling Transformation of Undeformed and Deformed High Strength Crack-Arrest Steel Plates for Large Container Ships
  24. Formation Mechanism and Influence Factors of the Sticker between Solidified Shell and Mold in Continuous Casting of Steel
  25. Casting Defects in Transition Layer of Cu/Al Composite Castings Prepared Using Pouring Aluminum Method and Their Formation Mechanism
  26. Effect of Current on Segregation and Inclusions Characteristics of Dual Alloy Ingot Processed by Electroslag Remelting
  27. Investigation of Growth Kinetics of Fe2B Layers on AISI 1518 Steel by the Integral Method
  28. Microstructural Evolution and Phase Transformation on the X-Y Surface of Inconel 718 Ni-Based Alloys Fabricated by Selective Laser Melting under Different Heat Treatment
  29. Characterization of Mn-Doped Co3O4 Thin Films Prepared by Sol Gel-Based Dip-Coating Process
  30. Deposition Characteristics of Multitrack Overlayby Plasma Transferred Arc Welding on SS316Lwith Co-Cr Based Alloy – Influence ofProcess Parameters
  31. Elastic Moduli and Elastic Constants of Alloy AuCuSi With FCC Structure Under Pressure
  32. Effect of Cl on Softening and Melting Behaviors of BF Burden
  33. Effect of MgO Injection on Smelting in a Blast Furnace
  34. Structural Characteristics and Hydration Kinetics of Oxidized Steel Slag in a CaO-FeO-SiO2-MgO System
  35. Optimization of Microwave-Assisted Oxidation Roasting of Oxide–Sulphide Zinc Ore with Addition of Manganese Dioxide Using Response Surface Methodology
  36. Hydraulic Study of Bubble Migration in Liquid Titanium Alloy Melt during Vertical Centrifugal Casting Process
  37. Investigation on Double Wire Metal Inert Gas Welding of A7N01-T4 Aluminum Alloy in High-Speed Welding
  38. Oxidation Behaviour of Welded ASTM-SA210 GrA1 Boiler Tube Steels under Cyclic Conditions at 900°C in Air
  39. Study on the Evolution of Damage Degradation at Different Temperatures and Strain Rates for Ti-6Al-4V Alloy
  40. Pack-Boriding of Pure Iron with Powder Mixtures Containing ZrB2
  41. Evolution of Interfacial Features of MnO-SiO2 Type Inclusions/Steel Matrix during Isothermal Heating at Low Temperatures
  42. Effect of MgO/Al2O3 Ratio on Viscosity of Blast Furnace Primary Slag
  43. The Microstructure and Property of the Heat Affected zone in C-Mn Steel Treated by Rare Earth
  44. Microwave-Assisted Molten-Salt Facile Synthesis of Chromium Carbide (Cr3C2) Coatings on the Diamond Particles
  45. Effects of B on the Hot Ductility of Fe-36Ni Invar Alloy
  46. Impurity Distribution after Solidification of Hypereutectic Al-Si Melts and Eutectic Al-Si Melt
  47. Induced Electro-Deposition of High Melting-Point Phases on MgO–C Refractory in CaO–Al2O3–SiO2 – (MgO) Slag at 1773 K
  48. Microstructure and Mechanical Properties of 14Cr-ODS Steels with Zr Addition
  49. A Review of Boron-Rich Silicon Borides Basedon Thermodynamic Stability and Transport Properties of High-Temperature Thermoelectric Materials
  50. Siliceous Manganese Ore from Eastern India:A Potential Resource for Ferrosilicon-Manganese Production
  51. A Strain-Compensated Constitutive Model for Describing the Hot Compressive Deformation Behaviors of an Aged Inconel 718 Superalloy
  52. Surface Alloys of 0.45 C Carbon Steel Produced by High Current Pulsed Electron Beam
  53. Deformation Behavior and Processing Map during Isothermal Hot Compression of 49MnVS3 Non-Quenched and Tempered Steel
  54. A Constitutive Equation for Predicting Elevated Temperature Flow Behavior of BFe10-1-2 Cupronickel Alloy through Double Multiple Nonlinear Regression
  55. Oxidation Behavior of Ferritic Steel T22 Exposed to Supercritical Water
  56. A Multi Scale Strategy for Simulation of Microstructural Evolutions in Friction Stir Welding of Duplex Titanium Alloy
  57. Partition Behavior of Alloying Elements in Nickel-Based Alloys and Their Activity Interaction Parameters and Infinite Dilution Activity Coefficients
  58. Influence of Heating on Tensile Physical-Mechanical Properties of Granite
  59. Comparison of Al-Zn-Mg Alloy P-MIG Welded Joints Filled with Different Wires
  60. Microstructure and Mechanical Properties of Thick Plate Friction Stir Welds for 6082-T6 Aluminum Alloy
  61. Research Article
  62. Kinetics of oxide scale growth on a (Ti, Mo)5Si3 based oxidation resistant Mo-Ti-Si alloy at 900-1300C
  63. Calorimetric study on Bi-Cu-Sn alloys
  64. Mineralogical Phase of Slag and Its Effect on Dephosphorization during Converter Steelmaking Using Slag-Remaining Technology
  65. Controllability of joint integrity and mechanical properties of friction stir welded 6061-T6 aluminum and AZ31B magnesium alloys based on stationary shoulder
  66. Cellular Automaton Modeling of Phase Transformation of U-Nb Alloys during Solidification and Consequent Cooling Process
  67. The effect of MgTiO3Adding on Inclusion Characteristics
  68. Cutting performance of a functionally graded cemented carbide tool prepared by microwave heating and nitriding sintering
  69. Creep behaviour and life assessment of a cast nickel – base superalloy MAR – M247
  70. Failure mechanism and acoustic emission signal characteristics of coatings under the condition of impact indentation
  71. Reducing Surface Cracks and Improving Cleanliness of H-Beam Blanks in Continuous Casting — Improving continuous casting of H-beam blanks
  72. Rhodium influence on the microstructure and oxidation behaviour of aluminide coatings deposited on pure nickel and nickel based superalloy
  73. The effect of Nb content on precipitates, microstructure and texture of grain oriented silicon steel
  74. Effect of Arc Power on the Wear and High-temperature Oxidation Resistances of Plasma-Sprayed Fe-based Amorphous Coatings
  75. Short Communication
  76. Novel Combined Feeding Approach to Produce Quality Al6061 Composites for Heat Sinks
  77. Research Article
  78. Micromorphology change and microstructure of Cu-P based amorphous filler during heating process
  79. Controlling residual stress and distortion of friction stir welding joint by external stationary shoulder
  80. Research on the ingot shrinkage in the electroslag remelting withdrawal process for 9Cr3Mo roller
  81. Production of Mo2NiB2 Based Hard Alloys by Self-Propagating High-Temperature Synthesis
  82. The Morphology Analysis of Plasma-Sprayed Cast Iron Splats at Different Substrate Temperatures via Fractal Dimension and Circularity Methods
  83. A Comparative Study on Johnson–Cook, Modified Johnson–Cook, Modified Zerilli–Armstrong and Arrhenius-Type Constitutive Models to Predict Hot Deformation Behavior of TA2
  84. Dynamic absorption efficiency of paracetamol powder in microwave drying
  85. Preparation and Properties of Blast Furnace Slag Glass Ceramics Containing Cr2O3
  86. Influence of unburned pulverized coal on gasification reaction of coke in blast furnace
  87. Effect of PWHT Conditions on Toughness and Creep Rupture Strength in Modified 9Cr-1Mo Steel Welds
  88. Role of B2O3 on structure and shear-thinning property in CaO–SiO2–Na2O-based mold fluxes
  89. Effect of Acid Slag Treatment on the Inclusions in GCr15 Bearing Steel
  90. Recovery of Iron and Zinc from Blast Furnace Dust Using Iron-Bath Reduction
  91. Phase Analysis and Microstructural Investigations of Ce2Zr2O7 for High-Temperature Coatings on Ni-Base Superalloy Substrates
  92. Combustion Characteristics and Kinetics Study of Pulverized Coal and Semi-Coke
  93. Mechanical and Electrochemical Characterization of Supersolidus Sintered Austenitic Stainless Steel (316 L)
  94. Synthesis and characterization of Cu doped chromium oxide (Cr2O3) thin films
  95. Ladle Nozzle Clogging during casting of Silicon-Steel
  96. Thermodynamics and Industrial Trial on Increasing the Carbon Content at the BOF Endpoint to Produce Ultra-Low Carbon IF Steel by BOF-RH-CSP Process
  97. Research Article
  98. Effect of Boundary Conditions on Residual Stresses and Distortion in 316 Stainless Steel Butt Welded Plate
  99. Numerical Analysis on Effect of Additional Gas Injection on Characteristics around Raceway in Melter Gasifier
  100. Variation on thermal damage rate of granite specimen with thermal cycle treatment
  101. Effects of Fluoride and Sulphate Mineralizers on the Properties of Reconstructed Steel Slag
  102. Effect of Basicity on Precipitation of Spinel Crystals in a CaO-SiO2-MgO-Cr2O3-FeO System
  103. Review Article
  104. Exploitation of Mold Flux for the Ti-bearing Welding Wire Steel ER80-G
  105. Research Article
  106. Furnace heat prediction and control model and its application to large blast furnace
  107. Effects of Different Solid Solution Temperatures on Microstructure and Mechanical Properties of the AA7075 Alloy After T6 Heat Treatment
  108. Study of the Viscosity of a La2O3-SiO2-FeO Slag System
  109. Tensile Deformation and Work Hardening Behaviour of AISI 431 Martensitic Stainless Steel at Elevated Temperatures
  110. The Effectiveness of Reinforcement and Processing on Mechanical Properties, Wear Behavior and Damping Response of Aluminum Matrix Composites
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