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Development of Casting simulation Software

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High Pressure Die Casting

Precise Analysis Considering
Actual Vacuum Conditions

What we can simulate in the
High Pressure Die Casting process

High Pressure Die Casting

GAS

Gas Porosity Defects

Gas Defect Occurrence During & After Filling

Gas pressure is predicted by calculating the pressure of the melt & pressure in the air. Gas amount quantitatively predicts gas amount and isolation along with the gas amount in the melt. During filling, oxide can be tracked to predict the final isolated area, and leak defects can be predicted by considering shrinkage defects, machining areas and water/oil paths in the product.

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High Pressure Die Casting

Shot Sleeve

Analysis of Shot Speed

Optimized Shot Sleeve

In the high pressure die casting process, the sleeve condition settings are the most basic procedure. Various types of defects occurring during filling can be predicted according to the low and high speed condition within the sleeve.

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High Pressure Die Casting

Vacuum

Analysis of Vacuum Die Casting

Realistic Vacuum Equipment Conditions

Based on the equipment settings, the user can easily check the pressure history by observing the pressure loss during vacuum use and the actual pressure graph applied to the product. By observing the actual pressure applied in the cavity, the user can optimize the vacuum equipment selection and apply it to real life.

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High Pressure Die Casting

Die Life

Predict of Die Damages

Defects affecting Die Life

It is possible to increase die life and to derive casting conditions through prediction of soldering defects calculated by considering the surface treatment of the mold and product ejection time, along with the prediction of mold erosion defects caused by the speed, temperature of melt and shape of the mold during filling.

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High Pressure Die Casting

Deformation

Prediction of
Deformation and Crack

Predict Various Defects Caused by Deformation

Based on the temperature distribution result data, the deformation and cracking of the product can be predicted through mapping work using FEM mesh, and the effect of reducing shrinkage defects can be verified by using local squeeze pins when solidification occurs in a specific area of the product. In addition, it is possible to derive a safe eject pin position by predicting the safety factor of the mentioned eject pin.

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High Pressure Die Casting

Shrinkage

Prediction of Micro & Macro
Shrinkage Defect

Analysis of Shrinkage from Solidification Pattern & Gas

The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.

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High Pressure Die Casting

Cooling Channel

Analysis of Various
Cooling Channels

Improved Analysis Accuracy by Channel
Consideration

It is possible to maintain the temperature balance of the mold, control shrinkage defects, and minimize deformation by using cooling and constant temperature channels during solidification. For special channels such as spot channel cooling, heat transfer coefficients according to the length of the channel are set to be similar to the actual product. The user may take into account the cooling effect.

See More
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High Pressure Die Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.

See More
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HPDC
  • GAS
    Gas Defect Occurrence During & After Filling
    Gas pressure is predicted by calculating the pressure of the melt & pressure in the air. Gas amount quantitatively predicts gas amount and isolation along with the gas amount in the melt. During filling, oxide can be tracked to predict the final isolated area, and leak defects can be predicted by considering shrinkage defects, machining areas and water/oil paths in the product.
    See More
  • Shot Sleeve
    Optimized Shot Sleeve
    In the high pressure die casting process, the sleeve condition settings are the most basic procedure. Various types of defects occurring during filling can be predicted according to the low and high speed condition within the sleeve.
    See More
  • Vacuum
    Realistic Vacuum Equipment Conditions
    Based on the equipment settings, the user can easily check the pressure history by observing the pressure loss during vacuum use and the actual pressure graph applied to the product. By observing the actual pressure applied in the cavity, the user can optimize the vacuum equipment selection and apply it to real life.
    See More
  • Die Life
    Defects affecting Die Life
    It is possible to increase die life and to derive casting conditions through prediction of soldering defects calculated by considering the surface treatment of the mold and product ejection time, along with the prediction of mold erosion defects caused by the speed, temperature of melt and shape of the mold during filling.
    See More
  • Deformation
    Predict Various Defects Caused by Deformation
    Based on the temperature distribution result data, the deformation and cracking of the product can be predicted through mapping work using FEM mesh, and the effect of reducing shrinkage defects can be verified by using local squeeze pins when solidification occurs in a specific area of the product. In addition, it is possible to derive a safe eject pin position by predicting the safety factor of the mentioned eject pin.
    See More
  • Shrinkage
    Analysis of Shrinkage from Solidification Pattern & Gas
    The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.
    See More
  • Cooling Channel
    Improved Analysis Accuracy by Channel Consideration
    It is possible to maintain the temperature balance of the mold, control shrinkage defects, and minimize deformation by using cooling and constant temperature channels during solidification. For special channels such as spot channel cooling, heat transfer coefficients according to the length of the channel are set to be similar to the actual product. The user may take into account the cooling effect.
    See More
  • Speed
    Reduce Time Consuming Work
    Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.
    See More

Sand Casting

Database of Various Subsidiary
Materials used in Sand Casting

What we can simulate in the
Sand Casting process

Sand Casting

Shrinkage

Prediction of Micro & Macro
Shrinkage Defect

Analysis of Shrinkage from Solidification Pattern & Gas

The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.

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Sand Casting

Alloy

Thermo Dynamics Calculation
of Material Properties

Thermal Properties Calculation

If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.

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Sand Casting

Cast Iron

Predict Microstructure
on Metallurgical Base

Phase Distribution & Mechanical Property

For gray cast iron and ductile cast iron, phase (Pearlite, Ferrite, Graphite, Cementite) distribution can be predicted by considering the chemical composition value of each material and mechanical properties (Tensile Strength, Yield Strength, Hardness, Elongation) can be predicted.
This function is calculation range is below the solid transformation temperature in principle.

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Sand Casting

Gas

Prediction of Gas
Distribution

Core Gas Defect Before & After Filling

Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to observe the movement of core gas generated from the contact in between the melt and the core along with the final isolated area. The results can then be expressed as a graph oh the amount of gas generated and discharged amount through the vent, etc.

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Sand Casting

Microporosity

Shrinkage Induced
Gas Porosity (SIGAP)

Micro Shrinkage Defects using Gas Concentration

This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.

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Sand Casting

Riser

Feeding Effect to Decrease
Shrinkage Defect

Feeding Effect on Shrinkage Defects

In order to compensate for the shrinkage defect within the cavity, a riser is placed at the area of shrinkage. In order to maximize the effect of feeding, the size is determined in consideration of the casting yield. An exothermic sleeve or powder can be used for the effect of direction solidification to reduce shrinkage.

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Sand Casting

Inclusion

Find Various Inclusion Defect

Inclusion Defects in Sand Casting

Sand drop and oxide defects are typical inclusion defects in the sand casting process. Defects caused by sand drop are dominant and through simulation, it is possible to predict the area where the melt impact during filling will affect the mold. In addition, it is possible to observe the change in the flow rate of the melt by installing a filter, so that the analysis considering the stability of the melt flow during filling is possible.

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Sand Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.

See More
Prev Next
Sand
  • Shrinkage
    Analysis of Shrinkage from Solidification Pattern & Gas
    The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.
    See More
  • Alloy
    Thermal Properties Calculation
    If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.
    See More
  • Cast Iron
    Phase Distribution & Mechanical Property
    For gray cast iron and ductile cast iron, phase (Pearlite, Ferrite, Graphite, Cementite) distribution can be predicted by considering the chemical composition value of each material and mechanical properties (Tensile Strength, Yield Strength, Hardness, Elongation) can be predicted.
    This function is calculation range is below the solid transformation temperature in principle.
    See More
  • Gas
    Core Gas Defect Before & After Filling
    Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to observe the movement of core gas generated from the contact in between the melt and the core along with the final isolated area. The results can then be expressed as a graph oh the amount of gas generated and discharged amount through the vent, etc.
    See More
  • Microporosity
    Micro Shrinkage Defects using Gas Concentration
    This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.
    See More
  • Riser
    Feeding Effect on Shrinkage Defects
    In order to compensate for the shrinkage defect within the cavity, a riser is placed at the area of shrinkage. In order to maximize the effect of feeding, the size is determined in consideration of the casting yield. An exothermic sleeve or powder can be used for the effect of direction solidification to reduce shrinkage.
    See More
  • Inclusion
    Inclusion Defects in Sand Casting
    Sand drop and oxide defects are typical inclusion defects in the sand casting process. Defects caused by sand drop are dominant and through simulation, it is possible to predict the area where the melt impact during filling will affect the mold. In addition, it is possible to observe the change in the flow rate of the melt by installing a filter, so that the analysis considering the stability of the melt flow during filling is possible.
    See More
  • Speed
    Reduce Time Consuming Work
    Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.
    See More

Low Pressure Die Casting

Counter Pressure Casting Analysis
Possible as well as LPDC

What we can simulate in the
Low Pressure Die Casting process

Low Pressure Die Casting

Gas

Gas Porosity Defects

Gas Defect Occurrence During & After Filling

Gas pressure is predicted by calculating the pressure of the melt & pressure in the air. Gas amount quantitatively predicts gas movement and isolation along with the gas amount in the melt. During filling, oxide can be tracked to predict the final isolated area, and leak defects can be predicted by considering shrinkage defects, machining areas and water/oil paths in the product.

See More
Prev Next

Low Pressure Die Casting

Shrinkage

Prediction of Micro & Macro Shrinkage Defect

Analysis of Shrinkage from Solidification Pattern & Gas

The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.

See More
Prev Next

Low Pressure Die Casting

Alloy

Thermo Dynamics Calculation of Material Properties

Thermal Properties Calculation

If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.

See More
Prev Next

Low Pressure Die Casting

Vacuum

Analysis of Vacuum
Die Casting

Realistic Vacuum Equipment Conditions

Based on the equipment settings, the user can easily check the pressure history by observing the pressure loss during vacuum use and the actual pressure graph applied to the product. By observing the actual pressure applied in the cavity, the user can optimize the vacuum equipment selection and apply it to real life.

See More
Prev Next

Low Pressure Die Casting

Inclusion

Predict of Various Inclusions

Oxide Prediction during Filling

In general, Al alloy is used in the low pressure die casting process, and due to the characteristics of Al alloy, it is vulnerable to oxidation. Oxide is formed due to air contact with the free surface of melt during filling, and there is a high probability of defects occurring in areas where the formed oxide is concentrated.

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Prev Next

Low Pressure Die Casting

Microporosity

Prediction of Micro Shrinkage

Micro Shrinkage Defects using Gas Concentration

This is a method of identifying shrinkage defect areas that are difficult to predict by the retained melt tracing method during solidification, which is a general shrinkage defect method, which is predicted by gas in the melt.
Microporosity calculations can consider external pressure. Using these points, microporosity is used when checking shrinkage defects in Counter Pressure Casting (CPC).

See More
Prev Next

Low Pressure Die Casting

Cooling Channel

Analysis of Various
Cooling Channels

Improved Analysis Accuracy by Channel
Consideration

It is possible to maintain the temperature balance of the mold, control shrinkage defects, and minimize deformation by using cooling and constant temperature channels during solidification. For special channels such as spot channel cooling, heat transfer coefficients according to the length of the channel are set to be similar to the actual product. The user may take into account the cooling effect.

See More
Prev Next

Low Pressure Die Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.

See More
Prev Next
LPDC
  • Gas
    Gas Defect Occurrence During & After Filling
    Gas pressure is predicted by calculating the pressure of the melt & pressure in the air. Gas amount quantitatively predicts gas movement and isolation along with the gas amount in the melt. During filling, oxide can be tracked to predict the final isolated area, and leak defects can be predicted by considering shrinkage defects, machining areas and water/oil paths in the product.
    See More
  • Shrinkage
    Analysis of Shrinkage from Solidification Pattern & Gas
    The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.
    See More
  • Alloy
    Thermal Properties Calculation
    If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.
    See More
  • Vacuum
    Realistic Vacuum Equipment Conditions
    Based on the equipment settings, the user can easily check the pressure history by observing the pressure loss during vacuum use and the actual pressure graph applied to the product. By observing the actual pressure applied in the cavity, the user can optimize the vacuum equipment selection and apply it to real life.
    See More
  • Inclusion
    Oxide Prediction during Filling
    In general, Al alloy is used in the low pressure die casting process, and due to the characteristics of Al alloy, it is vulnerable to oxidation. Oxide is formed due to air contact with the free surface of melt during filling, and there is a high probability of defects occurring in areas where the formed oxide is concentrated.
    See More
  • Microporosity
    Micro Shrinkage Defects using Gas Concentration
    This is a method of identifying shrinkage defect areas that are difficult to predict by the retained melt tracing method during solidification, which is a general shrinkage defect method, which is predicted by gas in the melt.
    Microporosity calculations can consider external pressure. Using these points, microporosity is used when checking shrinkage defects in Counter Pressure Casting (CPC).
    See More
  • Cooling Channel
    Improved Analysis Accuracy by Channel
    Consideration
    It is possible to maintain the temperature balance of the mold, control shrinkage defects, and minimize deformation by using cooling and constant temperature channels during solidification. For special channels such as spot channel cooling, heat transfer coefficients according to the length of the channel are set to be similar to the actual product. The user may take into account the cooling effect.
    See More
  • Speed
    Reduce Time Consuming Work
    Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.
    See More

Metal Mold Casting

Simulate Real Motions
such as Tilting and Rotation

What we can simulate in the
Metal Mold Casting process

Metal Mold Casting

Shrinkage

Prediction of Micro &
Macro Shrinkage Defect

Analysis of Shrinkage from Solidification Pattern & Gas

The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.

See More
Prev Next

Metal Mold Casting

Alloy

Shrinkage Prediction Accuracy

Thermal Properties Calculation

If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.

See More
Prev Next

Metal Mold Casting

Gas

Gas Porosity Defects

Core Gas Defect Before & After Filling

Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to observe the movement of core gas generated from the contact in between the melt and the core along with the final isolated area. The results can then be expressed as a graph oh the amount of gas generated and discharged amount through the vent, etc.

See More
Prev Next

Metal Mold Casting

Tilting

Easy Setting of
Casting Condition

Gravity Tilting Pour Casting

In the gravity tilt casting, set the tilt axis and direction along with the center point when tilting and enter the angle according to the tilt time. The amount of melt in the hopper is automatically calculated and set within the program and the user can change it as well. Analysis from the melt pouring process in the hopper is also possible by modeling a separate gate on the upper surface of the hopper.

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Metal Mold Casting

Microporosity

Shrinkage Induced
Gas Porosity (SIGAP)

Determine Micro Shrinkage Defect with Gas Concentration

This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.

See More
Prev Next

Metal Mold Casting

Inclusion

Predict of Various Inclusions

Oxide Prediction during Filling

Most of the inclusions in the gravity tilting pour casting and the centrifugal casting are oxides. In the case of gravity tilting pour casting, it is necessary to check whether the generated oxides move to the riser area. In case of centrifugal casting, it is important to know where the generated oxides are finally located due to rotation.

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Metal Mold Casting

Centrifugal

Easy Setting of
Casting Condition

Centrifugal Casting

Centrifugal casting is divided into horizontal and vertical types, and in detail, it can be divided into injection at the rotation center axis and injection at out of the rotation center axis. Analysis setting for all conditions of centrifugal casting is possible, input rotation speed (rpm) for rotation, and information on rotation axis, direction, and rotation center point are essential.

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Metal Mold Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.

See More
Prev Next
Metal
  • Shrinkage
    Analysis of Shrinkage from Solidification Pattern & Gas
    The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.
    See More
  • Alloy
    Thermal Properties Calculation
    If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.
    See More
  • Gas
    Core Gas Defect Before & After Filling
    Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to observe the movement of core gas generated from the contact in between the melt and the core along with the final isolated area. The results can then be expressed as a graph oh the amount of gas generated and discharged amount through the vent, etc.
    See More
  • Tilting
    Gravity Tilting Pour Casting
    In the gravity tilt casting, set the tilt axis and direction along with the center point when tilting and enter the angle according to the tilt time. The amount of melt in the hopper is automatically calculated and set within the program and the user can change it as well. Analysis from the melt pouring process in the hopper is also possible by modeling a separate gate on the upper surface of the hopper.
    See More
  • Microporosity
    Determine Micro Shrinkage Defect with Gas Concentration
    This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.
    See More
  • Inclusion
    Oxide Prediction during Filling
    Most of the inclusions in the gravity tilting pour casting and the centrifugal casting are oxides. In the case of gravity tilting pour casting, it is necessary to check whether the generated oxides move to the riser area. In case of centrifugal casting, it is important to know where the generated oxides are finally located due to rotation.
    See More
  • Centrifugal
    Centrifugal Casting
    Centrifugal casting is divided into horizontal and vertical types, and in detail, it can be divided into injection at the rotation center axis and injection at out of the rotation center axis. Analysis setting for all conditions of centrifugal casting is possible, input rotation speed (rpm) for rotation, and information on rotation axis, direction, and rotation center point are essential.
    See More
  • Speed
    Reduce Time Consuming Work
    Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.
    See More

Investment Casting

Accurate Analysis
Considering the Effect of Radiation

What we can simulate in the
Investment Casting process

Investment Casting

Gas

Gas Porosity Defects

Gas Defect Occurrence During & After Filling

Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to measure the gas amount by entity and measure specific areas by using additional modeling.

See More
Prev Next

Investment Casting

Shell Heat Transfer

Heat Transfer in
Shell Surface & Atmosphere

Consideration of Radiation

In the case of investment casting with a higher shell mold temperature compared to other casting processes, the radiation effect due to surrounding temperature must be considered. In other words, since accurate consideration of the air temperature around the shell mold must be made, the radiation effect is considered by modeling of air layer and adjusting heat transfer coefficient.

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Prev Next

Investment Casting

Shrinkage

Prediction of Micro
& Macro Shrinkage Defect

Analysis of Shrinkage from Solidification Pattern & Gas

The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.

See More
Prev Next

Investment Casting

Microporosity

Prediction of Micro Shrinkage

Micro Shrinkage Defect using Gas Concentration

This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.

See More
Prev Next

Investment Casting

Inclusion

Predict of Various Inclusions

Oxide Prediction during Filling

Most of the common inclusion defects are oxides generated during filling and the generated oxides are distributed in the gate area that functions as a riser. However, in screw-shaped products such as propellers, oxides are concentrated in the blade area causing problems, so oxide analysis is also one of the important prediction results.

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Investment Casting

Management

Assemble Runner &
Gate Designs

Increasing Productivity

When multiple products are produced in a single casting design, differences in soundness between each product may occur due to product placement, runner shape, and ingate shape and placement. Through functions such as changing the modeling location before analysis and experience over a long period of time, AnyCasting derives and presents the optimal plan for productivity improvement.

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Investment Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.

See More
Prev Next

Investment Casting

Alloy

Thermo Dynamics Calculation
of Material Properties

Thermal Properties Calculation

If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.

See More
Prev Next
Invest
  • Gas
    Gas Defect Occurrence During & After Filling
    Gas Pressure is predicted by calculating the pressure of melt and isolated air area whereas Gas Amount predicts the movement, isolated distribution and amount of gas. It is possible to measure the gas amount by entity and measure specific areas by using additional modeling.
    See More
  • Shell Heat Transfer
    Consideration of Radiation
    In the case of investment casting with a higher shell mold temperature compared to other casting processes, the radiation effect due to surrounding temperature must be considered. In other words, since accurate consideration of the air temperature around the shell mold must be made, the radiation effect is considered by modeling of air layer and adjusting heat transfer coefficient.
    See More
  • Shrinkage
    Analysis of Shrinkage from Solidification Pattern & Gas
    The area of residual melt isolated during solidification is tracked to predict areas with high possibility of macro shrinkage defects based on the probabilistic defect model. Micro shrinkage – which are difficult to predict by tracking residual melt, can be predicted by considering the gas concentration inside the melt during solidification leading to observing the growth mechanism of gas.
    See More
  • Microporosity
    Micro Shrinkage Defect using Gas Concentration
    This is a method of identifying shrinkage defect areas that are difficult to predict by the observing the retained melt during solidification, which is generally used to identify defects by predicting gas in the melt. This method considers the growth of gas bubble in the molten metal during solidification, and is a method differentiated from other micro shrinkage defect prediction techniques.
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  • Inclusion
    Oxide Prediction during Filling
    Most of the common inclusion defects are oxides generated during filling and the generated oxides are distributed in the gate area that functions as a riser. However, in screw-shaped products such as propellers, oxides are concentrated in the blade area causing problems, so oxide analysis is also one of the important prediction results.
    See More
  • Management
    Increasing Productivity
    When multiple products are produced in a single casting design, differences in soundness between each product may occur due to product placement, runner shape, and ingate shape and placement. Through functions such as changing the modeling location before analysis and experience over a long period of time, AnyCasting derives and presents the optimal plan for productivity improvement.
    See More
  • Speed
    Reduce Time Consuming Work
    Auto-Mesh creates meshes within 3-clicks for beginners. It detects the thickness of each area in the casting design, automatically adjusts the number of meshes, and generates meshes on the x, y, and z axis. In addition, it is possible to draft a report using the preset basic form through simple information input and observe the result like anyPOST in PowerPoint. Results Combination, which allows union and intersection combinations based on multiple results, enables various and clear result prediction.
    See More
  • Alloy
    Thermal Properties Calculation
    If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.
    See More

Large Ingot Casting

Accurate Defect Prediction
Experience of Various Tonnage Product

What we can simulate in the
Large Ingot Casting process

Large Ingot Casting

Shrinkage

Prediction of
Shrinkage Defect

Shrinkage Defect due to Solidification Pattern

The area of melt that is isolated upon solidification is tracked to determine the shrinkage defect area using a probabilistic defect parameter technique. In the case of ingot casting, it is possible to predict micro-shrinkage in consideration of temperature gradient and to predict the cracking area inside of product using hot tearing intensity.

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Large Ingot Casting

Alloy

Shrinkage Prediction
Accuracy

Thermal Properties Calculation

If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.

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Large Ingot Casting

Segregation

Segregation Considering
Natural Convection

Segregation Distribution Prediction

Among the defects occurring in ingot casting, segregation defects are one of the most important predictions to be made. The natural convection that occurs inside the product during solidification must also be considered. Based on the user input value, the difference in concentration are calculated to show the results which predict A segregation, V segregation, inverse segregation and negative segregation.

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Large Ingot Casting

Exothermic

Enhance Feeding of Riser
by Exothermic Powder

Prediction of Defects by Exothermic effect

In order to maximize the feeding effect of the riser, whether it is possible to consider the effect of the exothermic powder applied to the top of riser after filling is very important in the ingot casting analysis. It is possible to control defects generated in the product depending on the use of the exothermic powder and the performance of the exothermic powder.

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Large Ingot Casting

Additional Pouring

The Effect of
Additional Pouring

Effect of Additional Pouring

Due to the nature of the ingot casting process, it is not possible to completely fill the mold with a single pour, so there must be additional pouring. It is crucial to consider the internal temperature and segregation that changes due to additional pouring and often intended to induce directional solidification.

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Large Ingot Casting

Inclusion

Tracing Inclusions
during Filling

Gas, Oxide & Slag

It is possible to check the behavior of gas and oxide & slag generated during filling and the final isolation location. These defects are harmful to the soundness of the ingot product and must be considered when checking the results of the filling analysis, through the quantitative analysis function, the amount of isolated gas in a specific area can be identified and the amount of isolation for each plan can be checked.

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Large Ingot Casting

Management

Design for Large Ingot Casting

Increasing Productivity

In the ingot casting process, gating design and mold design come from experience of each manufacturer and are the factors that have a significant influence on the soundness of a product. Based on years of analysis experience using AnyCasting, optimizing the soundness of ingot products is presented and analytically verified.

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Large Ingot Casting

Speed

Save Human Resource

Reduce Time Consuming Work

Due to the size of the product, the ingot casting process takes a long time to filling and solidification. Time loss occurs in the simulation. AnyCasting ingot casting analysis method provides a fast ingot solver function to minimize time loss, dramatically reducing the analysis time during filling.
This is the effect of reducing the analysis time by more than 2 times as much as the general analysis time.

See More
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Ingot
  • Shrinkage
    Shrinkage Defect due to Solidification Pattern
    The area of melt that is isolated upon solidification is tracked to determine the shrinkage defect area using a probabilistic defect parameter technique. In the case of ingot casting, it is possible to predict micro-shrinkage in consideration of temperature gradient and to predict the cracking area inside of product using hot tearing intensity.
    See More
  • Alloy
    Thermal Properties Calculation
    If there is no information to be used in the thermal property database within the program, the user can calculate the thermal property required for analysis by entering the chemical composition of the material. The thermal properties of a material are the most basic data in the analysis. In order to simulate accurately, the exact thermal data must be used.
    See More
  • Segregation
    Segregation Distribution Prediction
    Among the defects occurring in ingot casting, segregation defects are one of the most important predictions to be made. The natural convection that occurs inside the product during solidification must also be considered. Based on the user input value, the difference in concentration are calculated to show the results which predict A segregation, V segregation, inverse segregation and negative segregation.
    See More
  • Exothermic
    Prediction of Defects by Exothermic effect
    In order to maximize the feeding effect of the riser, whether it is possible to consider the effect of the exothermic powder applied to the top of riser after filling is very important in the ingot casting analysis. It is possible to control defects generated in the product depending on the use of the exothermic powder and the performance of the exothermic powder.
    See More
  • Additional Pouring
    Effect of Additional Pouring
    Due to the nature of the ingot casting process, it is not possible to completely fill the mold with a single pour, so there must be additional pouring. It is crucial to consider the internal temperature and segregation that changes due to additional pouring and often intended to induce directional solidification.
    See More
  • Inclusion
    Gas, Oxide & Slag
    It is possible to check the behavior of gas and oxide & slag generated during filling and the final isolation location. These defects are harmful to the soundness of the ingot product and must be considered when checking the results of the filling analysis, through the quantitative analysis function, the amount of isolated gas in a specific area can be identified and the amount of isolation for each plan can be checked.
    See More
  • Management
    Increasing Productivity
    In the ingot casting process, gating design and mold design come from experience of each manufacturer and are the factors that have a significant influence on the soundness of a product. Based on years of analysis experience using AnyCasting, optimizing the soundness of ingot products is presented and analytically verified.
    See More
  • Speed
    Reduce Time Consuming Work
    Due to the size of the product, the ingot casting process takes a long time to filling and solidification. Time loss occurs in the simulation. AnyCasting ingot casting analysis method provides a fast ingot solver function to minimize time loss, dramatically reducing the analysis time during filling.
    This is the effect of reducing the analysis time by more than 2 times as much as the general analysis time.
    See More

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21Years
History

  • 2001

    Founded
    “AnyCasting Co. Ltd.,”​

  • 2002

    Expanded Business Internationally

  • 2005

    ISO 9001 & 14001,
    INNO-BIZ Verified​

  • 2006

    Launched Branch Office
    in China​

  • 2010

    Received
     Prime Minister’s Award

  • 2014

    Received
     Presidential Award

  • 2015

    Established
    “AnyCasting Software Co. Ltd.,”

  • 2019

    Received
    Award from NADCA

21Years
History

  • 2001Founded
    “AnyCasting Co. Ltd.,”​​

  • 2002Expanded Business Internationally​

  • 2005ISO 9001 & 14001,
    INNO-BIZ Verified​​

  • 2006Launched Branch Office
    in China​​

  • 2010Received
     Prime Minister’s Award​

  • 2014Received
     Presidential Award​

  • 2015Established
    “AnyCasting Software Co. Ltd.,”​

  • 2019Received
    Award from NADCA​