Andradite titanium: Preparation, characterization and metallurgical performance

2021 ◽  
Author(s):  
Gang Li ◽  
Dan Chen ◽  
Yang You ◽  
Chengyi Ding ◽  
Guishang Pei ◽  
...  
Keyword(s):  
Metallurgical Performance

Characterization and Metallurgical Performance of Titangarnet

2020 ◽  
pp. 437-444
Author(s):  
Gang Li ◽  
Xuewei Lv ◽  
Xuangeng Zhou ◽  
Guibao Qiu
Keyword(s):  
Metallurgical Performance

Metallurgical Performance of Salt and Chlorine Fluxing Technologies in Casting Furnaces

2014 ◽  
pp. 1031-1036
Author(s):  
Mark Badowski ◽  
Stephen Instone ◽  
Markus Hagen
Keyword(s):  
Metallurgical Performance ◽  
Chlorine Fluxing

Rotary Welder for Hot Billets

2009 ◽  
Vol 618-619 ◽  
pp. 245-248
Author(s):  
David Jenista
Keyword(s):  
Structural Integrity ◽  
Heating System ◽  
Trapped Air ◽  
Metallurgical Performance ◽  
Single Piece ◽  
The Press ◽  
Short Piece ◽  
The Face ◽  
Aluminium Extrusion ◽  
Necessary Evil

The use of two-piece billets in aluminium extrusion is often viewed as a necessary evil. A heating system that provides two-piece billets to the press can provide better ingot utilization than a heater which provides single-piece billets. The issues associated with the handling and extruding of two-piece billets are accepted as the price of improved ingot utilization. With the rotary welder, the end of each log segment is joined to the front of the following log by friction welding. The combination of the rotation of the short piece and the pressure applied creates a bond that will maintain one-piece integrity as the billet is conveyed to the press and loaded into the container. The handling issues associated with two-piece billets are eliminated. A unique re-cut cycle removes contaminants from the two weld faces immediately prior to welding. The two ends are precisely aligned and the saw makes a cut that removes the face of the remaining piece and the face of the following log. This re-cut removes debris, oxide and potential trapped air from a less than perfect cut at the cast house. The welding is then performed with the two freshly cut faces. The metallurgical performance is improved by the removal of debris and oxide on the faces. This allows the use of welded billets in some applications that previously required single-piece billets to achieve the necessary structural integrity.

scholarly journals RESTORATION OF METALLURGICAL PERFORMANCE TOOL WITH LASER MELTING SLIP COATINGS

2015 ◽  
Vol 57 (1) ◽  
pp. 38
Author(s):  
L. M. Glukhov ◽  
A. A. Gerasimova ◽  
A. G. Radjuk
Keyword(s):  
Laser Melting ◽  
Metallurgical Performance

scholarly journals An Accuracy Evaluation for the Madejski Splat-Quench Solidification Model

1999 ◽  
Author(s):  
Salvador M. Aceves ◽  
Arthur B. Shapiro ◽  
Vivek Sahai
Keyword(s):  
Differential Equation ◽  
Production Costs ◽  
Maximum Diameter ◽  
Detailed Knowledge ◽  
Accuracy Evaluation ◽  
Droplet Spreading ◽  
Solidification Model ◽  
Metallurgical Performance ◽  
Wide Range ◽  
Controlled Deposition

Abstract Development of methods to spray form materials by precisely controlled deposition of droplets can result in new manufacturing processes which offer improved metallurgical performance and reduced production costs. These processes require a more detailed knowledge of the fluid mechanics, heat transfer and solidification that occur during droplet spreading. Previous work using computer simulations of this process have been difficult to implement and have required long running times. This paper examines the use of an alternative, simplified, method developed by Madjeski for solving for the problem of droplet spreading and solidification. These simplifications reduce the overall splat spreading and solidification problem to a closed-form differential equation. This differential equation is then solved under various conditions as reported from recent publications of experimental and numerical results of drop analysis. The results from the model are compared in terms of maximum splat diameter, minimum splat thickness, and time for the droplet spreading to reach 95% of the maximum diameter. The results indicate that the accuracy of the model can be improved by accounting for energy losses in the initial rate of droplet spreading. The model results show that the predictions of experimental results are improved to within 30% over a wide range of conditions.

Modeling Based on T-S Model for Thermal Process in Metallurgical Performance Testing

2014 ◽  
Vol 889-890 ◽  
pp. 699-702
Author(s):  
Dong Xie ◽  
Min Wang ◽  
Jing Liang Shi ◽  
Di Jian Xu ◽  
Hua Bing Wang
Keyword(s):  
Nonlinear Model ◽  
Performance Testing ◽  
System Structure ◽  
Structure Identification ◽  
Heating Process ◽  
Metallurgical Performance ◽  
High Temperature Furnace ◽  
Fuzzy Neural ◽  
Sample Testing ◽  
S Model

Most of metallurgical performance testing devices use small high-temperature furnace to simulate physical environment for the sample testing. Since the controlled object has the dynamic characteristics of nonlinear, time-varying, large delay and large inertia during heating process, it is difficult to establish an accurate models to control thermal processes and optimize. This paper presents an adaptive neural fuzzy modeling approach based on T-S model for the heating process. Using the fuzzy system structure identification and parameter identification, the more accurate nonlinear model can be obtained. Duo to the fuzzy neural network has the capability of autonomous, quickly and effectively converging to the required relations of the input and output, the modeling accuracy has been improved. The simulation results demonstrate the effectiveness of the proposed algorithm, and the method can provide a reference for obtaining accurate nonlinear model.

scholarly journals Mathematical Analysis of the Effect of Iron and Silica on the Reduction Performance of Manganese Ores

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
S. Ghali ◽  
E. A. Mousa
Keyword(s):  
Iron Reduction ◽  
Total Iron ◽  
Manganese Ore ◽  
Melting Range ◽  
Manganese Ores ◽  
Metallurgical Performance ◽  
Disintegration Index ◽  
The Individual ◽  
Reduction Index ◽  
Good Agreement

In the current study, a factorial design is used to investigate the effect of total iron and silica on the metallurgical performance of different grades of manganese ores. The derived mathematical formulations are applied to estimate the reduction disintegration index (RDI+6.3, RDI+3.15, and RDI−0.5), reduction index (total reduction index (RIT), manganese reduction index (RIM), and iron reduction index (RIF)), and softening-melting property (start of softening (TS1), end of softening (TS2), start of melting (Tm1), and end of melting (Tm2)) of manganese ores. The RDI+6.3 and RDI+3.15 are increased with the individual effect of SiO2 and the interaction effect of iron with silica, while they are decreased as the total iron increased. The high-Fe high-SiO2 manganese ore showed the highest RIT and RIF. The RIM was almost identical in all manganese ores. The presence of high content of SiO2 resulted in a narrow softening range (62–83°C), while the high-Fe high-SiO2 manganese ore exhibited a wider softening range (135–140°C). The melting range was very small in high-Fe low-SiO2 (3–16°C) and high-Fe high-SiO2 (6–8°C) manganese ores, while the low-Fe low-SiO2 manganese ore showed wider melting range (72–74°C). The derived mathematical models are in a good agreement with the experimental results. The calculations are carried out using Matlab program.

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