Home Study on the Evolution of Damage Degradation at Different Temperatures and Strain Rates for Ti-6Al-4V Alloy
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Study on the Evolution of Damage Degradation at Different Temperatures and Strain Rates for Ti-6Al-4V Alloy

  • Lin Gao , Jiang Zhao , Guo-zheng Quan EMAIL logo , Wei Xiong EMAIL logo and Chao An
Published/Copyright: October 18, 2018

Abstract

It is a significant issue to deeply understand the nature relationships between damage degradation and deforming parameters, and then identify the changes of initial ductile fracture time with processing parameters and further adjusting the forming processes for obtaining the fracture-free components. For Ti-6Al-4V alloy, the strain-stress data in the temperature range of 1023–1323 K and strain rate range of 0.01–10 s−1 were obtained by compression tests. The finite element model with stress-strain data was constructed to simulate the ductile damage cumulating processes under different conditions and obtained the maximum damage values. Subsequently, the ductile fracture criterion (DFC) of Ti-6Al-4V alloy was established and the effects of temperature and strain rate on DFC were discussed. The results show that the variation range of DFC under different deformation conditions is 0.07–0.15. Subsequently, the deformation conditions with higher fracture risk were identified as 1200∼1275 K & 1∼10 s−1 and verified with the experiment observations.

Introduction

Titanium alloys have been extensively used in aircraft fabrication, ship building, energy and chemical industries due to their attractive strength-to-weight, good fatigue properties, high toughness and great corrosion resistance [1, 2]. Additionally, they are also applied in biomedicine such as artificial joints and dental implants and so on due to their excellent biocompatibility [3, 4]. Ti-6Al-4V alloy, as a typical α+β titanium alloy, is earlier developed and studied, and now accounts for the largest share of the market. Currently, the components of Ti-6Al-4V alloys are usually manufactured by hot plastic processing with low cost and short cycle. Nevertheless, hot plastic forming processes are always accompanied by notable damage accumulation causing internal deterioration which may lead to the occurrence of macroscopic failure. The most common macroscopic failure during such process could be fracture caused ductile damage. Thus, it is an important issue to carry out the desired products without any fracture in the plastic forming processes. However, the empirical know-how of the worker is crucial for the fracture-free products in industrial practice at present, which usually requires very costly trial-and-error [5]. Therefore, it is significant to establish an effective theoretical method to predict the initial ductile fracture time, and then avoid the fracture by choosing appropriate technological parameters, which could obviously save time and costs [6, 7].

Over the last few decades, considerable efforts have been made to investigate the ductile fracture during hot plastic deformation. Cockcroft-Latham fracture criteria has been demonstrated to be a good way for evaluating ductile fracture value in hot plastic forming simulation and applied successfully to a variety of loading situations [6, 7, 8, 9, 10]. However, Cockcroft and Latham considered the critical damage values as a constant of materials like yield stress. But in fact the critical damage values can be described as a function of local temperature, strain, and the stress state [11]. It was known that the resulting ductile fracture value during plastic processes can be calculated with the model of effective stresses, considering crack closure effects by splitting the Cauchy stress tensor in a compressive and tensile part [12]. Thus the materials damage during forming processes can be simulated by implementing damage models into finite element model. The ductile fracture tendency can be characterized as the ration of damage value, namely ductile fracture criteria (DFC) [13, 14]. Tvergaard and Needleman [11] demonstrated the dramatic influence of temperature on the critical damage value in a ductile fracture process and applied it into finite element analysis. Further, Quan et al. [12] pointed out that temperature and strain rate markedly influenced the critical damage value, and put forward an innovative concept of damage sensitive rate as the essential intermediate quantity, and then obtained the varying ductile fracture criteria (VDFC) of 3Cr20Ni10W2 austenitic heat-resistant alloy. Several such works analyze the ductile fracture behaviors of alloys and established the DFC, but few researches on the initial ductile fracture time during hot deformation along with processing parameters.

The main purpose of this paper is to analyze effects of temperature and strain rate on ductile damage evolution for Ti-6Al-4V alloy, and develop DFC histogram along with deforming parameters (temperature and strain rate), and then identify the initial ductile fracture time. In the present work, a series of compressions of Ti-6Al-4V alloy with a height reduction range of 60% were performed in the temperature range of 1023–1323 K and the strain rate range of 0.01–10 s−1 on a Gleeble-3500 thermo-mechanical simulator. An approach to identify the initial fracture time was carried out and an innovative concept of damage sensitive rate was used as the essential intermediate quantity. Then based on the stress-strain data achieved from the compression tests, the FE model was built and the FE analysis under seven temperatures and four strain rate were conducted, and then the critical damage values at such conditions were obtained. Subsequently, the varying ductile fracture criteria (VDFC) was established, and then the initial fracture time of different temperatures and different strain rate were identified based on the VDFC. In addition, to verify the VDFC, several typical microstructures of Ti-6V-4Al alloy with a high risk of fracture were observed by optical microscopy and compared with the CDFC.

Hot compression test

Experimental procedures

The chemical compositions of Ti-6Al-4V alloy used in this work are as follows (wt.%): 6.02 Al, 3.91 V, 0.13 O, 0.08 Fe, 0.008 N, balance Ti. The beta-transus temperature of such alloy is approximately 1263 K. The following experimental procedures follow ASTM Standard: E209-00. An extruded bar with a diameter of 200 mm was as-received material. Twenty-eight cylindrical specimens with 10 mm in diameter and 12 mm in height were machined from the bar by wire-electrode cutting. Hot compression tests were carried out in the temperature range of 1023–1323 K with an interval of 50 K and true strain rates of 0.01 s−1, 0.1 s−1, 1 s−1 and 10 s−1 on a Gleeble 3500 (GSI SLV GmbH Co. Germany) thermal mechanical simulator with a fully integrated digital closed loop control thermal and mechanical testing system produced by DSI. During a compressing process, the specimen was resistance heated to the designed temperature at a heating rate of 10 K/s and held at that temperature for 180 s by thermo-coupled-feedback-controlled AC current, aiming to obtain a homogeneous heat distribution and decrease the material anisotropy. Then the specimen was compressed to a true strain 0.916 (height reduction of 60%) under the designed temperature and strain rate. After the compression, the deformed specimen was water-quenched instantly to insure a uniform temperature field to retain the organizational form at elevated temperature. Twenty-eight compression tests under seven temperatures and four strain rates were performed according to such procedure. It is worth pointing out that in this work only one sample was used in a certain loading condition. This is due to the fact that Gleeble 3500 thermal mechanical simulator controls temperature raise, temperature holding and compressing speed loading precisely by a fully integrated digital closed loop control thermal and mechanical testing system. It is certain that all the collected true stress-strain data accord with other’s work.

During these compressing processes, the variations of stress and strain were monitored continuously by a personal computer equipped with an automatic data acquisition system. The true stress-strain relationships were derived from the measurement of the nominal stress-strain curves collected according to the following formula: σT=σN1+εN, εT=ln1+εN, where σT is the true stress, σN is the nominal stress, εT is the true strain and εN is the nominal strain [15].

Flow stress behaviors

Figure 1 shows the stress-strain data collected from the compression tests at different seven temperatures and four strain rates. Comparing these curves with one another, it is summarized that the flow behaviors show a noticeable dependence on deformation conditions including temperature, strain and strain rate. Generally, the stress level decreases with increasing temperature at a certain strain rate and decreasing strain rate at a certain temperature. This is due to the fact that for the strain-softening alloy as Ti-6Al-4V, lower strain rate and higher temperature provides enough time and energy for the dislocation accumulation and atom diffusion. It is widely accepted that the evolution of flow stress indicates the intrinsic interactions between work hardening (WH) and softening mechanisms during hot deformation. There are two different types of softening mechanism along with the studied temperature range, i.e. DRV (dynamic recovery) in β-phase and DRV + DRX (dynamic recrystallization) in α+β-phase. In β-phase temperatures (1273 K and 1323 K), flow stress sharply increases to a certain value, and then keeps a relatively steady state due to the balance between WH and DRV. This kind of flow stress evolution attributes to DRV softening type. The presented temperature-rate dependent behaviors of Ti-6Al-4V alloy in β-phase temperatures agree with the data in the reference [3]. In α+β-phase temperatures (1023 K, 1073 K, 1123 K, 1173 K and 1223 K), flow stress rapidly increases before the strain of 0.2, which is caused by severe work hardening (WH). Following which, flow stress increases slower and slower till a single peak value due to the onset and enhancement of DRV+DRX of α-phase, subsequently, flow stress decreases gradually to a steady value due to a balance between reinforce induced by WH and softening deduced by DRV + DRX. This kind of flow stress evolution attributes to DRX softening type. The presented temperature-rate dependent behaviors of Ti-6Al-4V alloy in α+β-phase temperatures agree with the data in the reference [2, 3, 4]. Beside, these stress-strain data are the important foundation of calculating damage in following sections.

Figure 1: The true stress-strain curves of Ti-6Al-4V alloy under the different deformation temperatures with strain rates (a) 0.01 s−1, (b) 0.1 s−1, (c) 1 s−1, (d) 10 s−1.
Figure 1:

The true stress-strain curves of Ti-6Al-4V alloy under the different deformation temperatures with strain rates (a) 0.01 s−1, (b) 0.1 s−1, (c) 1 s−1, (d) 10 s−1.

Basis for damage computation

Cockcroft-Latham’s DFC

The workability of metal materials plays a major role for judging whether the metal will be manufactured successfully or caused ductile fracture in the forming processes. In general, the main reason for the failed workpiece is ductile fracture. Thus the prediction of ductile fracture plays an important role for a forming process. Based on various hypotheses, many criteria for ductile fracture have been proposed empirically as well as theoretically [16, 17]. According to cumulative damage theory, Cockcroft and Latham [18, 19, 20] proposed a damage computation model based on a critical value of the tensile strain energy per unit of volume, which has been extensively applied to predict fracture in various bulk forming processes such as extrusion, rolling, upsetting and so on. The equation is expressed as follows [18]:

(1)D=0ε¯fσTσ¯dε¯

where εˉf is the equivalent fracture strain, σˉ is equivalent stress, σT is the maximal principal stress and D is fracture threshold. This damage model is not based on a micro-mechanical model to estimate fracture, however, it simply recognizes the dependence of the critical at fracture upon the level of the largest principal stress. In eq. (1), the maximum damage value, Dmax, is named as DFC, which is the critical damage value of the workpiece. The maximum damage value is dependent on the material metallurgical properties such as grain morphology, grain size, and the inclusion content of non-metallic and so on. When the damage value of D reaches Dmax during a forming process, ductile fracture will occur. Thus, by comparing D with Dmax, the risk of material failure during forming processes can be assessed.

In order to identify the ductile fracture during a forming process, the value of D was calculated by FE simulation. And eq. (1) has to be converted to an appropriate discrete expression which is convenient for FE code:

(2)D=0ε¯fσTσ¯dε¯dtdt=0tfσTσ¯ε¯˙dt0tfσTε¯˙Δtσ¯

where ε¯˙ is the equivalent strain rate, tf is the total time corresponding to fracture failure, and Δt is the variable time increment used in the FE analysis.

Approach to determine Cockcroft-Latham type DFC

From the true stress-strain curves of Ti-6Al-4V alloy, it can be found that Ti-6Al-4V alloy is a typical strain-softening alloy. It is well accepted that for strain-hardening alloys the fracture criteria can be determined by directly comparing the simulations with the destructive experiments in terms of the critical deformation level. However, for strain-softening alloy the DFC cannot be determined directly due to the fact that softening mechanisms such as dynamic recrystallization (DRX) and dynamic recovery (DRV) occur during the deformation processes, and it is difficult to find visible cracks on the surface of deformed sample and the stress-strain curves. Therefore, it is significant to find an indirect way to evaluate the ductile damage criteria for strain-softening alloy. In this research, an indirect research approach has been brought forward, which utilizes physical experiments, numerical simulations and mathematic computations to provide mutual support for determining the critical fracture time.

As a series of samples were compressed on a heat physical simulation machine under different seven deformation temperatures and four strain rates, the true stress-strain data were collected and then inputted in the FE software of DEFORM-2D. Through an integration method using Eq. (2) in the FE software of DEFORM-2D, the damage values at all strains during the simulation processes were obtained. According to cumulative damage theory, the damage value increases with increasing level of deformation, when it reaches the critical damage value, ductile fracture occurs. However, during the simulation procedure of the compression test in DEFORM-2D, the damage value will keep increasing until the last compression step, even if the damage value reaches the critical damage value. Therefore, it is necessary to analyze the damage accumulation process and identify the initial fracture time.

Kachanov [21, 22, 23] explained the “one-dimensional surface damage variable” by considering a damaged body and a representative volume element (RVE) at a point M oriented by a plane defined by its normal n and its abscissa x along the direction n (as shown in Figure 2) [21]. The value of the damage D(M,n,x) attached to the point M in the direction n and the abscissa x is:

(3)D(M,n,x)=δSDxδS
Figure 2: Damaged RVE in a damaged body.
Figure 2:

Damaged RVE in a damaged body.

where SDx is the area of intersection of all the flaws with the plane defined by the normal n and abscissa x; S is the total area at the intersection plane. Damage D is bounded as 0DDc, where Dc is a critical damage value corresponding to the decohesion of atoms. D=0 represents the undamaged RVE material, and D=Dc represents the rupture failure in the remaining resisting area. When the maximum damage value keeps increasing in a very small growth rate near to zero or equal to zero with increasing deformation strain, it means that fractures happens [24].

Based on Kachanovs one-dimensional surface damage theory, it can be known that the damage value increases with the increasing of time during a compressing simulation. Thus the maximum value seems to appear at the last simulation step which is not the initial fracture step. As the cumulation damage value contributes to identify the critical damage value, it is considerable to analyze the damage cumulating process. Thus, an innovative concept of the sensitive rate of Cockcroft-Latham damage ((Rstep)) in plastic deformation processes is developed as eq. (4) [12]:

(4)Rstep=ΔDDacc

In which Rstep is equals to the ratio of the damage increment at one step (ΔD) to the accumulated value (Dacc). And it is supposed that if the maximum damage value keeps increasing in a very small growth rate near to zero, which means Rstep decreases gradually to zero or near zero, ductile fractures appears. The conception of such assumptions is of good consistency to Kachanov’s explanation of damage mentioned above. And then the fracture time, that is, fracture strain or fracture height reduction can be identified and determined.

Results and discussion

FE simulation of ductile damage and its analysis

Rigid-plastic FE models were established in the DEFORM-2D platform to simulate the above corresponding compression tests. The basic FE model of compression test in DEFORM-2D is shown in Figure 3. Only one-half of a specimen is considered to simplify and reduce the running time during the simulation process because of the axisymmetry of compression. The specimen was modeled as a plastic object and the tools were modeled as rigid surfaces. The initial mesh of billet consists of 792 four-node elements. Due to both sides of the cylinder workpiece filled with machine oil mingled with graphite powder as lubrication in the hot compression test, the friction between the specimen and the tools is defined to be 0.1. For the simulation of plastic deformation process, the material model for billet can be defined by inputting the true stress-strain curve date (as Figure 1). Then the damage values during hot deformation process were calculated. Figure 4 shows the damage distribution of the height reduction 60% at the temperature of 1123 K and the strain rate of 0.1 s−1, it can be seen that the material in drum-shaped region is the most severely damaged, and the damage value decreasing sharply along the radius from outside to inside. From the simulation results of all the isothermal hot compression tests at the temperature of 1023 K, 1073 K, 1123 K, 1173 K, 1223 K, 1273 K and 1323 K, the strain rates of 0.01 s−1, 0.1 s−1, 1 s−1 and 10 s−1, it can be summarizes that the maximum damage value always appears in drum-shaped region corresponding to higher strain, stress and strain rate, while the minimal value appears in the center region. Therefore, the initiation of crack will occur at the edge of the sample.

Figure 3: The basic FE model of compression testing in DEFORM-2D.
Figure 3:

The basic FE model of compression testing in DEFORM-2D.

Figure 4: The damage distribution of the height reduction 60% at temperature of 1123 K and strain rate of 0.1 s−1.
Figure 4:

The damage distribution of the height reduction 60% at temperature of 1123 K and strain rate of 0.1 s−1.

Based on the simulation results, the evolution of damage value during the whole upsetting processes at seven temperatures and four strain rates were obtained and shown in Figure 5(a)~(d). it is obvious that the damage value increases non-linearly with increasing strain from 0 to nearly 0.4, and then it increases almost linearly until the end of deformation. Comparing these curves with one another, it is summarized that for a fixed true strain the maximum cumulated damage value decreases with increasing temperature at the strain rates of 0.01 s−1, 0.1 s−1 and 1 s−1, while there is no obvious regular for the strain rate of 10 s−1. Besides, the maximum cumulated damage values under seven different temperatures and four different strain rates were illustrated in Figure 6, at the temperature of 1023 K, 1073 K, 1123 K and 1323 K, as the strain rate increases, the maximum cumulated damage values slightly decrease firstly, then obviously increase, and lastly decrease again. When the temperatures are 1173 K, 1223 K and 1273 K, the damage values increase with increasing strain rate in the beginning, and subsequently the damage values have a slight decrease. In further, it can be summarized that strain rate has a significant effect on the damage value, that is, the damage cumulating process is sensitive to strain rate.

Figure 5: The maximum damage varying during compressing process at different temperatures and strain rates (a) 0.01 s−1, 1023 K ~ 1323 K; (b) 0.1 s−1, 1023 K ~ 1323 K (c) 1 s−1, 1023 K ~ 1323 K; (d) 10 s−1, 1023 K ~ 1323 K.
Figure 5:

The maximum damage varying during compressing process at different temperatures and strain rates (a) 0.01 s−1, 1023 K ~ 1323 K; (b) 0.1 s−1, 1023 K ~ 1323 K (c) 1 s−1, 1023 K ~ 1323 K; (d) 10 s−1, 1023 K ~ 1323 K.

Figure 6: The relationships between maximum damage and strain rate at the end of compressing process under different temperatures.
Figure 6:

The relationships between maximum damage and strain rate at the end of compressing process under different temperatures.

Evaluation of VDFC

In order to evaluate the DFV, the initial fracture time and the damage value at fracture time are necessary to be ensured. By utilizing the damage values as shown in Figure 5 and the damage sensitive rate proposed as eq. (4), the sensitive rates (Rstep) of Cockcroft-Latham damage at seven temperatures and four strain rates were calculated and shown in Figure 7(a)~(d). It can be seen that, for all these deformation conditions, Rstep decreases rapidly before true strain 0.1, then decreases slowly and even nearly zero. The point that Rstep equals to zero is assumed as the fracture time, and in this paper, the zero point has been added a tolerance 0 ~ 0.03. That is, when Rstep decreases to 0.03, it means that fracture occurs.

Figure 7: The variation of damage sensitive rate under different temperatures and strain rates (a) 0.01 s−1, (b) 0.1 s−1, (c) 1 s−1, (d) 10 s−1.
Figure 7:

The variation of damage sensitive rate under different temperatures and strain rates (a) 0.01 s−1, (b) 0.1 s−1, (c) 1 s−1, (d) 10 s−1.

As shown in Figure 7, the point from Rstepε curves after true strain 0.5 were picked out and illustrated in amplifying scatter diagram so as to find the strain of initial fracture by determining the intersection of the curves and abscissa axis. In addition, the scatter diagrams without intersection with abscissa axis at the end of the simulation were fitted linearly, and the interception of the fitted line and abscissa axis was deeming as the initial fracture strain. As the initial fracture strain at each deforming condition obtained from Figure 7, the corresponding DFC under different deformation conditions can be identified by substituting the initial fracture strain in Figure 5. Figure 8 shows the response surface of DFC, which is the maximum damage when the fracture occurs; it indicates the nature relationships between deforming conditions and DFC of Ti-6Al-4V alloy. Obviously, DFC of Ti-6Al-4V alloy under different temperatures and strain rates is not a constant, but a variable affected by the deformation conditions within a range of 0.07 ~ 0.15. The DFC is sensitively dependent on deformation parameters involving strain rate and temperature. Thus the DFC at different deforming conditions can be defined as VDFC and described as a function of strain rate and temperature, and the corresponding analytical formula was shown in Table 1.

Figure 8: The response surface of the ductile fracture criteria of Ti-6Al-4V alloy in temperature and strain rate.
Figure 8:

The response surface of the ductile fracture criteria of Ti-6Al-4V alloy in temperature and strain rate.

Table 1:

An approximate analytical formula for the VDFC of Ti-6Al-4V alloy.

VDFCExponentsRemarks
z=a+bx+cy+dx2+ey2+fxy+gx3+hy3+ixy2+jx2ya=−3.0917795Error=0.0080175651
b=−0.10613801
c=0.011646993
d=−0.02625198
e=−1.394332e−5
f=0.00011469866
g=0.0045644533
h=5.483145e−9
i=−9.6282066e−9
j=3.616165e−5

It is found that there is a valley under the deformation conditions of 1200∼1275 K & 1∼10 s−1 in Figure 8. On both sides of the valley, DFC values increase. It is notable that the workpiece will be fracture under these conditions due to lower DFC at the initial fracture. In addition to, the desired deformation domains (1023∼1123 K & 0.01∼1 s−1) with lower fracture risk corresponding to higher DFC have been identified. Therefore, in bulk forming operations of Ti-6Al-4V alloy, fracture risk can be reduced by choosing suitable deformation parameters.

Verification of VDFC by microstructure observations

In order to verify the DFC, the typical microstructures of Ti-6V-4Al alloy lying in the lower DFC region, where exist a high risk of fracture under different deformation conditions, were observed by optical microscopy and shown in Figure 9(a–c). Figure 9(a–c) shows the microstructures. Figure 9(a) and (b) shows the microstructures under the condition of 1173 K & 1 s−1 where the critical damage value is about 0.08. Figure 9(a) shows the microstructure in drum-shaped region of deformed specimen with a visible crack. Figure 9(b) shows the microstructure in the center region of deformed specimen, from which, it can be found that the crack also appears in the center region. By comparing Figure 9(a) with Figure 9(b), it can be summarized that the crack occurs in drum-shaped region firstly and then extends to the center, which is in good agreement with simulation results. Figure 9(c) shows the microstructure under the condition of 1273 K & 1 s−1, where the critical damage value is about 0.09. From Figure 9(c), it can be found that a macro-crack appears in drum-shaped region, which shows a good agreement with the simulation. From these microstructures, it can be concluded that the VDFC is practical approach to predict the initial ductile fracture time of Ti-6Al-4V alloy and avoid the ductile fracture by optimizing processing parameters in the actual production.

Figure 9: The microstructures of Ti-6Al-4V alloy under the deforming conditions (a) 1173 K & 1s−1;drum-shaped region of deformed specimen, (b) 1173 K & 1 s−1; center region of deformed specimen, (c) 1273 K & 1 s−1; drum-shaped region of deformed specimen.
Figure 9:

The microstructures of Ti-6Al-4V alloy under the deforming conditions (a) 1173 K & 1s−1;drum-shaped region of deformed specimen, (b) 1173 K & 1 s−1; center region of deformed specimen, (c) 1273 K & 1 s−1; drum-shaped region of deformed specimen.

Conclusions

Based on the criteria proposed by Cockcroft and Latham, the ductile damage cumulating process, fracture initiation sites and DFC diagram for Ti-6Al-4V alloy along with various deformation conditions were evaluated. The following conclusions were obtained:

  1. As for a typical strain-softening material of Ti-6Al-4V alloy, the maximum damage value appears in the drum-shaped region, while the minimal value in the center region. The fracture will firstly occur at the edge of the workpiece.

  2. DFC of Ti-6Al-4V alloy in the temperature range of 1023 K ~ 1323 K and the strain rate range of 0.01 ~ 10 s−1 is not a constant but changes with a range of 0.07 ~ 0.15. With the establishment of DFC diagram, the initial fracture time was identified. And then DFC was further defined as VDFC and characterized by a function of temperature and strain rate.

  3. Based on the VDFC diagram, the exact fracture moment during various deforming processes can be predicted effectively and conveniently. In addition, the deformation conditions with lower fracture risk of Ti-6Al-4V alloy were identified as 1023 ~ 1123 K & 0.01 ~ 1 s−1, and the deformation conditions with higher fracture risk were identified as1200∼1275 K & 1∼10 s−1.

Acknowledgements

The work was supported by Chongqing Foundation and Frontier Research Project (cstc2016jcyjA0335), Chongqing Basic Research and Frontier Exploration Project (cstc2018jcyjAX0459), Open Fund Project of State Key Laboratory of Materials Processing and Die & Mould Technology (No.P2017-020), and Research Project of State Key Laboratory of Mechanical Transmission (No. SKLMT-ZZKT-2017M15).

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Received: 2018-06-03
Accepted: 2018-08-14
Published Online: 2018-10-18
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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  1. Frontmatter
  2. Review Article
  3. Research on the Influence of Furnace Structure on Copper Cooling Stave Life
  4. Influence of High Temperature Oxidation on Hydrogen Absorption and Degradation of Zircaloy-2 and Zr 700 Alloys
  5. Correlation between Travel Speed, Microstructure, Mechanical Properties and Wear Characteristics of Ni-Based Hardfaced Deposits over 316LN Austenitic Stainless Steel
  6. Factors Influencing Gas Generation Behaviours of Lump Coal Used in COREX Gasifier
  7. Experiment Research on Pulverized Coal Combustion in the Tuyere of Oxygen Blast Furnace
  8. Phosphate Capacities of CaO–FeO–SiO2–Al2O3/Na2O/TiO2 Slags
  9. Microstructure and Interface Bonding Strength of WC-10Ni/NiCrBSi Composite Coating by Vacuum Brazing
  10. Refill Friction Stir Spot Welding of Dissimilar 6061/7075 Aluminum Alloy
  11. Solvothermal Synthesis and Magnetic Properties of Monodisperse Ni0.5Zn0.5Fe2O4 Hollow Nanospheres
  12. On the Capability of Logarithmic-Power Model for Prediction of Hot Deformation Behavior of Alloy 800H at High Strain Rates
  13. 3D Heat Conductivity Model of Mold Based on Node Temperature Inheritance
  14. 3D Microstructure and Micromechanical Properties of Minerals in Vanadium-Titanium Sinter
  15. Effect of Martensite Structure and Carbide Precipitates on Mechanical Properties of Cr-Mo Alloy Steel with Different Cooling Rate
  16. The Interaction between Erosion Particle and Gas Stream in High Temperature Gas Burner Rig for Thermal Barrier Coatings
  17. Permittivity Study of a CuCl Residue at 13–450 °C and Elucidation of the Microwave Intensification Mechanism for Its Dechlorination
  18. Study on Carbothermal Reduction of Titania in Molten Iron
  19. The Sequence of the Phase Growth during Diffusion in Ti-Based Systems
  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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