Numerical Simulation on Thermal Strain Characteristics of Casting Mold for Automobile Tire

2007 ◽  
Vol 345-346 ◽  
pp. 893-896
Author(s):  
Yong Bum Kim ◽  
Ho Dong Yang ◽  
Yool Kwon Oh
Keyword(s):  
Numerical Simulation ◽  
Aluminum Alloy ◽  
Thermal Strain ◽  
Cooling Process ◽  
Casting Mold ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Automobile Tire ◽  
Temperature Distributions ◽  
A New Technique

In the present study, aluminum alloy casting mold which consist of eight pieces is introduced as a new technique of tire manufacturing. For the numerical analysis, finite element method (FEM) was used to investigate the thermal strain of casting mold using aluminum alloy during the cooling process. In the concrete, the temperature distributions on the inside of each casting mold, the displacement and stress occurred by temperature variations are investigated to predict the accurate measurement variations of casting mold during the cooling process. In the end, numerical simulation results such as temperature distributions, displacement and stress are presented to help to make the effective and the best mold products. Moreover, the introduced technique of numerical simulation applying a FEM is very useful and important things in the mechanical behavior of materials, especially needs the accuracy improvement such as aluminum alloy casting mold products.

The Effect of the Heat Flux and Temperature on Thermal Strain of Aluminum Alloy Casting Mold

2007 ◽  
Vol 26-28 ◽  
pp. 1049-1052
Author(s):  
Hee Sung Yoon ◽  
Young Sun Kim ◽  
Yool Kwon Oh
Keyword(s):  
Heat Flux ◽  
Aluminum Alloy ◽  
Numerical Analysis ◽  
Thermal Strain ◽  
Temperature Calibration ◽  
Cooling Process ◽  
Casting Mold ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Rapid Temperature

In this study, numerical analysis applying the finite element method (FEM) was used to investigate the effect of heat flux and temperature on thermal strain of aluminum alloy casting mold. For numerical analysis, analysis model was considered the effect of shrinkage, rapid temperature variation on the casting mold and was applied the temperature calibration to reduce the deformation and stress by temperature difference of inside and outside the mold during the cooling process. In detail, temperature, deformation and stress distributions occurred inside of casting mold predicted by numerical method and then investigated the correlations between the heat flux and temperature variation during the cooling process. As a result, aluminum alloy casting mold is occurred deformation and stress because of rapid temperature difference in the initial of cooling, but it can be reduced the thermal strain through the heat flux control and temperature calibration. Accordingly, the technique of this numerical study will be helped to make the effective and the good quality of casting mold products.

Analysis on Thermal Strain of AC7A Aluminum Alloy Casting Mold for Automobile Tire by Finite Element Method

2008 ◽  
Vol 580-582 ◽  
pp. 139-142
Author(s):  
Je Se Choi ◽  
Yool Kwon Oh
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Aluminum Alloy ◽  
Thermal Strain ◽  
Stress And Strain ◽  
Numerical Work ◽  
Casting Mold ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Element Method

In the present study, AC7A aluminum alloy casting mold which consist of 8 pieces is introduced as an analysis model. Also, numerical work using a finite element method was applied to investigate the thermal strain that included the temperature distribution, stress and strain during the cooling process in AC7A casting mold. In addition, the numerical work was carried out that analysis results of the AC7A casting mold were compared with those of mild steel casting mold to prove the improvement and good quality. The numerical results such as temperature distributions, stress and strain are presented to help to make the effective and the best tire mold. In addition, the introduced technique of numerical work using a finite element method is very useful and especially needs to improve the precision of tire mold such as sectional type or puzzle type.

NUMERICAL AND EXPERIMENTAL STUDY ON THERMAL DEFORMATION OF AC7A AND AC4C CASTING MATERIAL

2012 ◽  
Vol 06 ◽  
pp. 570-575
Author(s):  
Hee-Sung Yoon ◽  
Ho-Dong Yang ◽  
Yool-Kwon Oh
Keyword(s):  
Finite Element Analysis ◽  
Experimental Study ◽  
Aluminum Alloy ◽  
Temperature Distribution ◽  
Numerical Analysis ◽  
Thermal Deformation ◽  
Cooling Process ◽  
Element Analysis ◽  
Automobile Tire ◽  
Temperature Distributions

The present study was numerically and experimentally investigated on thermal deformation of AC7A and AC4C aluminum alloy used as a casting material for manufacturing automobile tire mold. In this study, temperature distributions of AC7A and AC4C casting material were numerically calculated by finite element analysis (FEA). In order to compare and verify results calculated by numerical analysis, the experiment was carried out on the same condition of numerical analysis. The temperature distribution numerical analysis result revealed that the cooling patterns were predicted almost similar results during cooling process of two casting material. Also, the thermal deformation was calculated from the temperature distribution results. The thermal deformation was closely related to the temperature difference between the surface and inside of the casting.

Numerical Simulation of Microstructure of Aluminum Alloy Casting Using Macro-Micro Coupled Method

2002 ◽  
Author(s):  
Guangyue Zhang ◽  
Tao Jing ◽  
Baicheng Liu ◽  
Daiping Zhao
Keyword(s):  
Numerical Simulation ◽  
Aluminum Alloy ◽  
Crystal Growth ◽  
Dendritic Growth ◽  
Conservation Equation ◽  
Growth Morphology ◽  
Coupled Method ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Curvature Effects

Numerical simulation of solidification microstructure of aluminum alloy casting is studied by using a macro-micro coupled method. Different mesh sizes and time steps are used to calculate the macro temperature field and the crystal growth. The microstructure simulation is conducted by selecting a macro cell in the central region of the aluminum casting, and then the initial distribution of the temperature in the micro domain is obtained by interpolating the temperature of the macro cells near the selected cell. The crystal growth is controlled by the phase field equation, and the mathematical model also includes mix solution conservation equation and energy conservation equation to compute the distribution of the solution and the temperature. Noise is introduced to simulate the side branches. To describe the heterogeneous nucleation the Gaussian distribution is applied. The interface undercooling is considered to be the sum of thermal, solute and curvature effects. The 2-D dendritic growth morphology, the 3-D dendritic growth morphology and the crystal sizes in the region are simulated. The simulation results are compared with those obtained by experiments.

Improvement of 319 aluminum alloy casting durability by high temperature solution treatment

2001 ◽  
Vol 109 (1-2) ◽  
pp. 174-180 ◽  
Author(s):  
Jerry H Sokolowski ◽  
Mile B Djurdjevic ◽  
Christopher A Kierkus ◽  
Derek O Northwood
Keyword(s):  
Aluminum Alloy ◽  
High Temperature ◽  
Solution Treatment ◽  
High Temperature Solution ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Temperature Solution

Solidification and Microstructure Simulation of A356 Aluminum Alloy Casting

2021 ◽  
Vol 1033 ◽  
pp. 18-23
Author(s):  
Li Tong He ◽  
Yi Dan Zeng ◽  
Jin Zhang
Keyword(s):  
Aluminum Alloy ◽  
Solidification Process ◽  
Casting Process ◽  
Uniform Structure ◽  
A356 Aluminum Alloy ◽  
Aluminum Alloy Casting ◽  
Alloy Casting ◽  
Shrinkage Defects ◽  
A356 Aluminum ◽  
Filling And Solidification

To obtain an A356 aluminum alloy casting with a uniform structure and no internal shrinkage defects, ProCAST software is used to set different filling and solidification process parameters for an A356 aluminum alloy casting with large wall thickness differences, And multiple simulations are conducted to obtain optimized casting process; then, based on the process, the microstructure of the thickest and thinnest part of the casting are simulated. The size, morphology, and distribution of the simulated microstructure of the thinnest part and the thickest part of the casting are very similar. The simulated microstructure is similar to that of the actual casting. This shows that castings with uniform structure and no internal shrinkage defects can be obtained through the optimized casting process .

Numerical Simulation Analysis of Aluminium Alloy Wheels Casting Defects and Casting Process Optimization

2013 ◽  
Vol 749 ◽  
pp. 125-132 ◽  
Author(s):  
Lv Ming Yang ◽  
Li Li Zhao ◽  
Qing Qing Zhang ◽  
Tie Tao Zhou
Keyword(s):  
Mechanical Properties ◽  
Numerical Simulation ◽  
Aluminum Alloy ◽  
Casting Process ◽  
Shrinkage Cavity ◽  
Uniaxial Tensile ◽  
Uniaxial Tensile Test ◽  
Casting Defects ◽  
Pressure Casting ◽  
Aluminum Alloy Casting

In the low pressure casting process of A356 aluminum alloy wheel hub, casting defects including shrinkage cavity, shrinkage porosity, impurity and pore usually occur inside the casting. These defects affect the mechanical properties of the casting. To solve this problem, we conducted a study based on a cooperation project with a well-known domestic automobile wheel manufacturer. In the present study, uniaxial tensile test of aluminum alloy casting containing defects was simulated and analysed, and the effect of types and number of defects on mechanical properties was studied by finite element analysis software. Statistical analysis of the data was provided by the manufacturer. It has been found that the degassing technology is effective by the quantitative analysis method. Based on the analyses of experimental data and the numerical simulation it is deduced that the tensile strength of casting increases with the increase of the defects due to the presence of impurity. This was confirmed in this research project, it has been observed that the defect rate of the casting sample is reduced from 5%-6% to less than 1%.

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