Pre-crystallization structure pre-determination method, device, equipment and storage medium

Abstract

The present disclosure relates to a pre-crystallization structure pre-determination method, device, equipment and storage medium, the method comprising: obtaining the heat exchange and melt filling rate of the melt and pressure chamber interface corresponding to each time node during the injection process; based on the heat exchange and melt filling rate, calculating the total heat exchange of the melt and pressure chamber interface; the total heat exchange is equal to the sum of the heat exchange corresponding to each time node with a melt filling rate less than or equal to 1; based on the total heat exchange, using the fitting relationship between the pre-crystallization structure information and the total heat exchange, calculate the pre-crystallization structure information; the pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity. Thus, without the need to conduct actual die-casting tests, the pre-crystallization structure information can be quantitatively estimated, and the die-casting process parameters can be optimized based on the pre-crystallization structure information. Therefore, the pre-crystallization structure pre-determination method has the advantages of low trial and error cost and short industrial research and development cycle.

Description

Technical Field

[0001] The present disclosure relates to the technical field of high pressure casting, and in particular to a method, device, equipment and storage medium for pre-crystallization structure pre-determination. Background Art

[0002] High-pressure casting is a method of rapidly pressing liquid or semi-solid metal into a mold under high pressure and solidifying it under pressure to obtain a casting. Automotive parts with complex structures and high surface precision requirements are usually prepared by high-pressure casting. However, during the die-casting process, due to the large temperature gradient between the metal melt and the pressure chamber interface, if the injection rate is low, the residence time of the melt in the pressure chamber will increase. The longer the contact time between the melt and the pressure chamber, the easier it is to introduce casting defects such as pre-crystallized structures (Externally solidified crystals, ESCs) into the die-casting. Coarse pre-crystallized structures will have the following effects on castings: (1) The macroscopic structure is uneven, affecting the morphology and size distribution of α-Al grains; (2) The microstructure around the induced defect zone becomes coarse, resulting in the formation of pore defects and segregation zones; (3) The strength, elongation, and electrical and thermal conductivity of the die-casting are reduced.

[0003] In the related art, the die-casting process parameters are optimized to reduce the size and content of the pre-crystallized structure in the casting; however, due to the complexity of the die-casting process parameters, parameter optimization through actual die-casting experiments has problems such as high trial-and-error costs and a long industrial R&D cycle. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and storage medium for pre-crystallization structure pre-determination.

[0005] In a first aspect, the present disclosure provides a method for pre-crystallization structure pre-determination, comprising:

[0006] Obtain the heat exchange amount and melt filling rate at the interface between the melt and the injection chamber corresponding to each time node during the injection process;

[0007] Based on the heat exchange and the melt filling rate, the total heat exchange between the melt and the pressure chamber interface is calculated; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node when the melt filling rate is less than or equal to 1;

[0008] Based on the total heat exchange rate, the pre-crystallization structure information is calculated using the fitting relationship between the pre-crystallization structure information and the total heat exchange rate; wherein the pre-crystallization structure information includes at least one of an equivalent diameter, an area fraction, a secondary dendrite arm spacing and a porosity; and the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange rate.

[0009] Optionally, the step of obtaining the heat exchange amount between the melt and the injection chamber interface corresponding to each time node during the injection process includes:

[0010] Obtain die casting process parameters;

[0011] Based on the die-casting process parameters, calculating the contact area between the melt and the pressure chamber corresponding to each time node during the injection process;

[0012] Based on the contact area between the melt and the pressure chamber, the heat exchange at the interface between the melt and the pressure chamber at each time node is calculated using the corresponding relationship between the heat exchange amount and the contact area.

[0013] Optionally, the die-casting process parameters include the total injection stroke L 0 , Injection stroke L in slow injection stage 1 , injection time t, melt residence time t 1 , the punch injection rate V in the slow injection stage 1 , the punch injection rate V in the fast injection stage 2 , initial melt filling rate f 0 and the radius r of the pressure chamber; the contact area between the melt and the pressure chamber corresponding to each time node is calculated based on the die-casting process parameters, including:

[0014] The remaining axial length L of the pressure chamber is calculated using the following formula:

[0015]

[0016] Based on the remaining axial length of the pressure chamber, the center angle n corresponding to the melt is calculated using the following formula:

[0017]

[0018] The contact area between the melt and the pressure chamber corresponding to each time node is calculated using the remaining axial length L of the pressure chamber and the center angle n. The formula used is:

[0019] A=nrL+(n-sin n)r 2 ;

[0020] Where A represents the contact area between the melt and the pressure chamber.

[0021] Optionally, the die-casting process parameters further include the interface heat transfer coefficient between the melt and the pressure chamber and the wall thickness of the casting; the heat transfer between the melt and the pressure chamber at each time node is calculated based on the contact area between the melt and the pressure chamber and using the corresponding relationship between the heat transfer and the contact area, including:

[0022] Calculating a cooling rate based on the wall thickness of the casting;

[0023] Based on the contact area between the melt and the pressure chamber, the interface heat transfer coefficient and the cooling rate, the heat transfer amount of the melt and the pressure chamber interface at each time node is calculated, and the formula used is:

[0024] dQ = hdAΔT = hRdAdt;

[0025] Among them, dQ represents the heat exchange at the interface between the melt and the pressure chamber at each time node; dA is the contact area between the melt and the pressure chamber at the time node, h represents the interface heat transfer coefficient between the melt and the pressure chamber, △T represents the temperature difference between the melt temperature and the pressure chamber temperature, R represents the cooling rate, and dt represents the time interval between two adjacent time nodes.

[0026] Optionally, the calculating the cooling rate based on the wall thickness of the casting comprises:

[0027] Modifying the first parameter and the second parameter based on the wall thickness of the casting;

[0028] Based on the corrected first parameter and second parameter, the cooling rate is calculated using the following formula:

[0029]

[0030] Wherein, a represents the corrected first parameter, c represents the corrected second parameter, and λ represents the thermal conductivity of the melt.

[0031] Optionally, the melt filling rate is calculated using the following formula:

[0032]

[0033] Where f represents the melt filling rate.

[0034] Optionally, the pre-crystallization structure information is exponentially related to the total heat exchange amount, and the fitting relationship includes at least one of the following:

[0035]

[0036]

[0037]

[0038]

[0039] Among them, D ESC represents the equivalent diameter of the pre-crystallized structure, represents the equivalent diameter of the minimum pre-crystallization structure, Q represents the total heat exchange between the melt and the pressure chamber interface, Q 0 represents the minimum total heat transfer, b represents the sensitivity coefficient of the equivalent diameter of the pre-crystallized structure to the heat transfer, A ESCrepresents the area fraction of die-casting pre-crystallized structure, represents the area fraction of the minimum pre-crystallized structure, e represents the sensitivity coefficient of the area fraction of the pre-crystallized structure to the heat transfer, and D ESC-SDAS Represents the secondary dendrite arm spacing of the pre-crystallized structure, represents the minimum secondary dendrite arm spacing of the pre-crystallization structure, i represents the sensitivity coefficient of the secondary dendrite arm spacing of the pre-crystallization structure to the heat transfer, P represents the porosity of the pre-crystallization structure, P 0 represents the porosity of the minimum pre-crystallization structure, and j represents the sensitivity coefficient of the porosity of the pre-crystallization structure to the heat exchange.

[0040] Optionally, the method further comprises:

[0041] Optimizing die-casting process parameters based on the comparison result of the pre-crystallization structure information and the judgment threshold;

[0042] or,

[0043] The die casting process parameters are optimized based on the comparison results of at least two groups of the pre-crystallization structure information.

[0044] In a second aspect, the present disclosure further provides a pre-crystallization structure pre-determination device, comprising:

[0045] An acquisition module is used to obtain the heat exchange amount and melt filling rate of the melt-pressure chamber interface corresponding to each time node during the injection process;

[0046] A first calculation module is used to calculate the total heat exchange between the melt and the pressure chamber interface based on the heat exchange and the melt filling rate; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node when the melt filling rate is less than or equal to 1;

[0047] The second calculation module is used to calculate the pre-crystallization structure information based on the total heat exchange rate and using the fitting relationship between the pre-crystallization structure information and the total heat exchange rate; wherein the pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity; and the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange rate.

[0048] In a third aspect, the present disclosure further provides an electronic device, including: a processor and a memory;

[0049] The processor is used to execute the steps of any of the above methods by calling the program or instruction stored in the memory.

[0050] In a fourth aspect, the present disclosure further provides a computer-readable storage medium, on which a program or instruction is stored, and the program or instruction enables a computer to execute the steps of any of the above-mentioned methods.

[0051] Compared with the prior art, the technical solution provided by the present invention has the following advantages:

[0052] In the technical solution provided by the present disclosure, the total heat exchange between the melt and the pressure chamber interface during the injection process is calculated by the heat exchange between the melt and the pressure chamber interface and the melt filling rate, and the fitting relationship between the pre-crystallization structure information and the total heat exchange can be used to quantitatively determine at least one of the pre-crystallization structure information, including the equivalent diameter, area fraction, secondary dendrite arm spacing and porosity of the pre-crystallization structure. Therefore, without the need to conduct actual die-casting tests, the pre-crystallization structure information can be quantitatively estimated, and then the die-casting process parameters can be optimized based on the pre-crystallization structure information, and the process parameters that meet the design requirements can be quickly and accurately screened out. Therefore, the pre-crystallization structure pre-determination method has the advantages of low trial and error costs and short industrial R&D cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0055] Figure 1 A schematic flow chart of a method for pre-crystallization structure pre-determination provided in an embodiment of the present disclosure;

[0056] Figure 2 It is a schematic diagram showing that the equivalent diameter of the pre-crystallized structure is positively correlated with the total heat transfer;

[0057] Figure 3 It is a schematic diagram showing that the area fraction of pre-crystallized tissue is positively correlated with the total heat transfer;

[0058] Figure 4 It is a schematic diagram showing that the secondary dendrite arm spacing of the pre-crystallized structure is positively correlated with the total heat transfer;

[0059] Figure 5 A schematic diagram showing that the porosity of the pre-crystallized structure provided in this embodiment is positively correlated with the total heat exchange;

[0060] Figure 6 for Figure 1 A detailed flow chart of "obtaining the heat exchange between the melt and the injection chamber interface corresponding to each time node during the injection process" in the pre-crystallization structure pre-determination method shown;

[0061] Figure 7 A detailed flow diagram of calculating the contact area between the melt and the pressure chamber corresponding to each time node provided in an embodiment of the present disclosure;

[0062] Figure 8 A detailed flow chart of calculating the heat exchange between the melt and the pressure chamber interface at each time node provided in an embodiment of the present disclosure;

[0063] Fig. 9 A detailed schematic diagram of a cooling rate calculation process provided by an embodiment of the present disclosure;

[0064] Fig.10 A schematic flow chart of another method for pre-crystallization structure pre-determination provided in an embodiment of the present disclosure;

[0065] Fig.11 A schematic flow chart of another method for pre-crystallization structure pre-determination provided in an embodiment of the present disclosure;

[0066] Fig.12 A schematic diagram of the structure of a pre-crystallization structure pre-determination device provided in an embodiment of the present disclosure;

[0067] Fig.13 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0068] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0069] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0070] In order to solve the above technical problems, the embodiment of the present disclosure provides a pre-crystallization structure pre-determination method, device, equipment and storage medium, the method comprising: obtaining the heat exchange and melt filling rate of the melt and pressure chamber interface corresponding to each time node in the injection process; based on the heat exchange and melt filling rate, calculating the total heat exchange of the melt and pressure chamber interface; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node with a melt filling rate less than or equal to 1; based on the total heat exchange, using the fitting relationship between the pre-crystallization structure information and the total heat exchange, calculate the pre-crystallization structure information; wherein the pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity. Thus, without the need to conduct actual die-casting tests, the pre-crystallization structure information can be quantitatively estimated, and then the die-casting process parameters can be optimized based on the pre-crystallization structure information, and the process parameters that meet the design requirements can be quickly and accurately screened out. Therefore, the pre-crystallization structure pre-determination method has the advantages of low trial and error cost and short industrial R&D cycle.

[0071] In addition, the pre-crystallization structure pre-determination method also has the advantages of low equipment cost and fast calculation speed, and is suitable for on-site die-casting process adjustment and new process development.

[0072] Combine the following Figure 1-Figure 13 , a pre-crystallization structure pre-determination method, device, equipment and storage medium provided by an embodiment of the present disclosure are exemplarily described.

[0073] Figure 1 A schematic diagram of a process flow of a pre-crystallization structure pre-determination method provided in an embodiment of the present disclosure. Figure 1 , the method comprising:

[0074] S110, obtaining the heat exchange amount and melt filling rate of the melt-injection chamber interface corresponding to each time node during the injection process.

[0075] The casting material includes at least one of aluminum alloy, magnesium alloy, copper alloy, zinc alloy and nickel alloy.

[0076] Among them, the injection process can be divided into a dwell stage, a slow injection stage and a fast injection stage; among them, the dwell stage is the process of pouring the melt into the pressure chamber. In this stage, the punch remains in the initial position and the injection has not started. The corresponding time is the melt dwell time. The ratio of the melt volume to the pressure chamber volume is the initial melt filling rate, and the initial melt filling rate can be set between 10% and 40%; after all the melt is poured into the pressure chamber, it enters the injection stage, and the punch is pushed into the pressure chamber by a power device. The punch moves axially along the pressure chamber. As the injection time goes by, the contact area between the melt and the pressure chamber changes; at the same time, the pressure chamber volume continues to decrease, and then the melt filling rate gradually increases.

[0077] In this step, the melt in a molten state will exchange heat when in contact with the pressure chamber interface. The heat exchange amount is positively correlated with the contact area. The larger the contact area between the melt and the pressure chamber, the greater the heat exchange amount. During the injection process, the contact area between the melt and the pressure chamber is a variable. The contact area between the melt and the pressure chamber is obtained once at a preset time interval (a preset time interval represents the time interval between two adjacent time nodes, such as 0.001 seconds). The corresponding relationship between the heat exchange amount and the contact area is used to obtain the heat exchange amount of the melt and the pressure chamber interface corresponding to each time node.

[0078] S120. Calculate the total heat exchange rate between the melt and the pressure chamber interface based on the heat exchange rate and the melt filling rate.

[0079] During the injection process, the melt filling rate gradually increases, and at this time the melt filling rate is less than 1; when the melt filling rate is equal to 1, the injection process is completed; if the punch continues to be pushed, the melt will flow out from the overflow port of the injection chamber. The total heat exchange between the melt and the injection chamber interface during the injection process can be obtained by summing the heat exchange corresponding to all time nodes during the injection process.

[0080] Specifically, the total heat transfer is equal to the sum of the heat transfer corresponding to each time node when the melt filling rate is less than or equal to 1. The specific calculation formula is as follows:

[0081]

[0082] Where Q represents the total heat transfer between the melt and the pressure chamber interface, dQ represents the heat transfer between the melt and the pressure chamber interface corresponding to a time node, f represents the melt filling rate, and f 0 represents the initial melt filling rate.

[0083] S130, based on the total heat exchange, using the fitting relationship between the pre-crystallization structure information and the total heat exchange, calculate the pre-crystallization structure information.

[0084] The pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity; and the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange.

[0085] like Figure 2-Figure 5 As shown, the total heat exchange is positively correlated with the above-mentioned pre-crystallization organization information. The larger the total heat exchange is, the larger the value of the corresponding pre-crystallization organization information is. The calculation formula of the pre-crystallization organization information is fitted by simulation technology to determine the functional relationship between the pre-crystallization organization information and the total heat exchange. The total heat exchange of the contact interface between the melt and the pressure chamber obtained in S120 is substituted into the fitting relationship to obtain the corresponding pre-crystallization organization information, thereby realizing the preliminary judgment of the pre-crystallization organization information.

[0086] It should be noted that when fitting the calculation formula of the pre-crystallization structure information, the pre-crystallization structure information is used as the dependent variable Y, and the total heat transfer is used as the independent variable X. The selectable function formula range includes but is not limited to exponential function, one-dimensional linear function, one-dimensional quadratic function and one-dimensional multi-function. For example, the fitting relationship is set to one-dimensional multi-function, Y = k1×X+k2×X 2 +......+km×X m +n,, where m≥2, k1, k2, ..., km are coefficients, and n is a constant; by inputting the actual data accumulated in the die-casting test, the fitting relationship is corrected, and the pre-crystallization structure information can be pre-determined using the corrected fitting relationship.

[0087] The disclosed embodiment provides a pre-crystallization structure pre-determination method, device, equipment and storage medium, the method comprising: obtaining the heat exchange and melt filling rate of the melt and pressure chamber interface corresponding to each time node during the injection process; based on the heat exchange and melt filling rate, calculating the total heat exchange of the melt and pressure chamber interface; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node with a melt filling rate less than or equal to 1; based on the total heat exchange, using the correspondence between the pre-crystallization structure information and the total heat exchange, calculating the pre-crystallization structure information; wherein the pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity. Thus, without the need to conduct actual die-casting tests, the pre-crystallization structure information can be quantitatively estimated, and then the die-casting process parameters can be optimized based on the pre-crystallization structure information, and the process parameters that meet the design requirements can be quickly and accurately screened out. Therefore, the pre-crystallization structure pre-determination method has the advantages of low trial and error cost and short industrial research and development cycle.

[0088] In some embodiments, Figure 2-Figure 5 As shown in the figure, the pre-crystallization structure information (including at least one of the equivalent diameter, area fraction, secondary dendrite arm spacing and porosity) increases with the increase of the total heat exchange between the melt and the pressure chamber. The pre-crystallization structure information is exponentially related to the total heat exchange. A one-variable multi-time equation is selected to set the fitting relationship, that is, Y = k1×X+k2×X 2 +......+km×X m +n,, where m≥2, k1, k2, ..., km are coefficients, and n is a constant; the fitting relationship is corrected by inputting the actual data accumulated in the die-casting test, and the corrected fitting relationship is used to calculate the pre-crystallization structure information.

[0089] The equivalent diameter of the pre-crystallized structure is calculated using the following formula:

[0090]

[0091] Among them, D ESCrepresents the equivalent diameter of the pre-crystallized structure, represents the equivalent diameter of the minimum pre-crystallization structure, Q represents the total heat exchange between the melt and the pressure chamber interface, Q 0 represents the minimum total heat transfer, and b represents the sensitivity coefficient of the equivalent diameter of the pre-crystallized structure to the heat transfer.

[0092] The area fraction of the pre-crystallized structure is calculated using the following formula:

[0093]

[0094] Among them, A ESC represents the area fraction of die-casting pre-crystallized structure, represents the area fraction of the minimum pre-crystallization structure, and e represents the sensitivity coefficient of the area fraction of the pre-crystallization structure to the heat transfer.

[0095] The secondary dendrite arm spacing of the pre-crystallized structure is calculated using the following formula:

[0096]

[0097] Among them, D ESC-SDAS Represents the secondary dendrite arm spacing of the pre-crystallized structure, represents the secondary dendrite arm spacing of the minimum pre-crystallization structure, and i represents the sensitivity coefficient of the secondary dendrite arm spacing of the pre-crystallization structure to the heat transfer.

[0098] The porosity of the pre-crystallized structure is calculated using the following formula:

[0099]

[0100] Where P represents the porosity of the pre-crystallized structure, P 0 represents the porosity of the minimum pre-crystallization structure, and j represents the sensitivity coefficient of the porosity of the pre-crystallization structure to the heat exchange.

[0101] It can be understood that this embodiment only exemplarily shows the calculation formulas of the four parameters of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity in the pre-crystallization structure information, but does not constitute a limitation on the pre-crystallization structure pre-determination method provided in the embodiment of the present disclosure. In other embodiments, the pre-crystallization structure information also includes other parameters, which are not limited here.

[0102] In some embodiments, Figure 6 As shown, Figure 1 A detailed flow chart of "obtaining the heat exchange between the melt and the injection chamber interface corresponding to each time node during the injection process" in the pre-crystallization structure pre-determination method shown. Figure 6 "Obtain the heat exchange between the melt and the injection chamber interface corresponding to each time node during the injection process", including:

[0103] S210, obtaining die-casting process parameters.

[0104] The die casting process parameters include but are not limited to the total injection stroke L 0 , melt residence time t 1 , Injection stroke L in slow injection stage 1 , Injection stroke L in fast injection stage 2 , the punch injection rate V in the slow injection stage 1 , the punch injection rate V in the fast injection stage 2 , initial melt filling rate f 0 , pressure chamber radius r, interface heat transfer coefficient h between melt and pressure chamber, melt temperature, pressure chamber temperature, and casting wall thickness.

[0105] S220. Based on the die-casting process parameters, the contact area between the melt and the pressure chamber corresponding to each time node during the injection process is calculated.

[0106] Specifically, during the injection process, as the punch moves, the volume of the melt remains unchanged, while the volume of the pressure chamber continues to decrease, the length of the pressure chamber decreases, the liquid level of the melt in the pressure chamber increases, and the contact interface area between the melt and the pressure chamber also changes accordingly, which is related to parameters such as the shape and size of the pressure chamber (including but not limited to length, width, height and radius) and the movement speed of the punch (i.e., the injection rate).

[0107] S230, based on the contact area between the melt and the pressure chamber, using the corresponding relationship between the heat exchange rate and the contact area, calculate the heat exchange rate of the interface between the melt and the pressure chamber at each time node.

[0108] Specifically, the heat exchange is positively correlated with the contact area. The larger the contact area between the melt and the pressure chamber, the greater the heat exchange. Using the corresponding relationship between the heat exchange and the contact area, the product of the contact area between the melt and the pressure chamber, the interface heat transfer coefficient, and the temperature change value corresponding to a certain time node is used as the heat exchange of the melt and the pressure chamber interface corresponding to the time node. It is known that the cold zone rate represents the temperature change value per unit time, and the unit is: K / s. Then the cooling rate is multiplied by the preset time interval to obtain the temperature change value, and then the heat exchange of the melt and the pressure chamber interface corresponding to each time node is equal to the product of the contact area between the melt and the pressure chamber, the interface heat transfer coefficient, the cooling rate, and the preset time interval.

[0109] In some embodiments, Figure 7 As shown, it is a detailed flow chart of calculating the contact area between the melt and the pressure chamber corresponding to each time node provided by the embodiment of the present disclosure. Figure 7 The die casting process parameters include at least the total injection stroke L 0 , Injection stroke L in slow injection stage 1 , injection time t, melt residence time t1 , the punch injection rate V in the slow injection stage 1 , the punch injection rate V in the fast injection stage 2 , initial melt filling rate f 0 and the radius r of the pressure chamber; S220 "calculate the contact area between the melt and the pressure chamber corresponding to each time node based on the die casting process parameters", including:

[0110] S310. Calculate the remaining axial length L of the pressure chamber using the following formula:

[0111]

[0112] In this embodiment, the shape of the pressure chamber is approximately a horizontal cylinder, and the contact interface between the melt and the pressure chamber includes the side surfaces and two bottom surfaces of the cylinder corresponding to the position below the melt level; during the injection process, the axial length of the pressure chamber and the liquid level of the melt in the pressure chamber will change, and the change in the liquid level will cause the change in the center angle corresponding to the melt. The remaining axial length L of the pressure chamber corresponding to each time node and the center angle corresponding to the melt are obtained by calculation, and the contact area between the melt and the pressure chamber corresponding to each time node is further calculated.

[0113] Specifically, during the dwell stage, the punch remains in the initial position, the injection is not started, and the remaining axial length L of the injection chamber is equal to the total injection stroke L 0 , that is, when t<t 1 When L = L 0 During the slow injection stage, the punch moves along the axial direction of the pressure chamber, and the remaining axial length L of the pressure chamber is equal to the total injection stroke L 0 Subtract the moving distance of the punch, that is, When L = L 0 -100×V 1 (tt 1 ). In the fast injection stage, the remaining axial length L of the injection chamber is equal to the total injection stroke L 0 Subtract the injection stroke L during the slow injection stage 1 , minus the distance the punch moves during this stage, that is,

[0114] S320. Based on the remaining axial length of the pressure chamber, the center angle n corresponding to the melt is calculated using the following formula:

[0115]

[0116] The unit of the center angle n is rad.

[0117] S330, using the remaining axial length L of the pressure chamber and the center angle n, calculate the contact area between the melt and the pressure chamber corresponding to each time node, and the formula used is:

[0118] A=nrL+(n-sin n)r 2 ;

[0119] Wherein, A represents the contact area between the melt and the pressure chamber, and the contact area between the melt and the pressure chamber is equal to the sum of the side area of ​​the cylinder corresponding to the position below the melt level and the two bottom areas.

[0120] In some embodiments, Figure 8 As shown, it is a detailed flow chart of calculating the heat exchange between the melt and the pressure chamber interface at each time node provided by the embodiment of the present disclosure. Figure 8 The die casting process parameters also include the interface heat transfer coefficient between the melt and the pressure chamber and the wall thickness of the casting. S230 "calculates the heat transfer of the interface between the melt and the pressure chamber at each time node based on the contact area between the melt and the pressure chamber and the corresponding relationship between the heat transfer and the contact area", including:

[0121] S410. Calculate the cooling rate based on the wall thickness of the casting.

[0122] Among them, the wall thickness of the casting has a certain influence on the cooling rate, and the corresponding relationship between the two is: when the temperature change value is equal, the thicker the wall thickness of the die-casting casting, the more energy it requires, and the corresponding cooling rate is smaller.

[0123] S410, based on the contact area between the melt and the pressure chamber, the interface heat transfer coefficient and the cooling rate, the heat transfer amount of the melt and the pressure chamber interface at each time node is calculated, and the formula used is:

[0124] dQ = hdAΔT = hRdAdt;

[0125] Among them, dQ represents the heat exchange at the interface between the melt and the pressure chamber at each time node; dA is the contact area between the melt and the pressure chamber at the time node, h represents the interface heat transfer coefficient between the melt and the pressure chamber, △T represents the temperature difference between the melt temperature and the pressure chamber temperature, R represents the cooling rate, and dt represents the time interval between two adjacent time nodes.

[0126] The total heat exchange between the melt and the pressure chamber interface during the injection process can be obtained by accumulating and summing the heat exchange between the melt and the pressure chamber interface dQ corresponding to all time nodes during the injection process. The calculation formula is as follows:

[0127]

[0128] The total heat exchange rate includes the heat exchange rate dQ of the melt and the pressure chamber interface corresponding to the time node when the melt filling rate f is less than or equal to 1.

[0129] In some embodiments, Fig. 9FIG. 1 is a schematic diagram of a detailed flow chart of calculating the cooling rate provided in an embodiment of the present disclosure. Fig. 9 , "Calculate the cooling rate based on the casting wall thickness", including:

[0130] S510, modifying the first parameter and the second parameter based on the wall thickness of the casting.

[0131] For example, the wall thickness of the die-cast casting is proportional to the first parameter and the second parameter, which can be obtained through simulation experiments or actual experience. The specific prior art will not be repeated here. The first parameter and the second parameter are set according to the wall thickness of the die-cast casting; for example, when the wall thickness is 3 mm, the first parameter and the second parameter are 0.002 and 1 respectively; when the wall thickness is 10 mm, the first parameter and the second parameter are 0.003 and 1.5 respectively.

[0132] S520, based on the corrected first parameter and second parameter, the cooling rate is calculated using the following formula:

[0133]

[0134] Wherein, a represents the corrected first parameter, c represents the corrected second parameter, and λ represents the thermal conductivity of the melt.

[0135] In some embodiments, the melt filling rate is calculated using the following formula:

[0136]

[0137] Specifically, during the injection process, the melt volume remains unchanged, that is, V = S × L 0 ×f 0 =S×L×f, where V represents the melt volume, S represents the bottom area of ​​the pressure chamber, f represents the melt filling rate, and f 0 represents the initial melt filling rate, and the above formula is transformed to

[0138] In some embodiments, Fig.10 FIG. 1 is a flow chart of another method for pre-crystallization structure pre-determination provided by an embodiment of the present disclosure. Fig.10 , the method comprising:

[0139] S610, obtaining the heat exchange amount and melt filling rate of the melt-injection chamber interface corresponding to each time node during the injection process.

[0140] S620. Calculate the total heat exchange rate between the melt and the pressure chamber interface based on the heat exchange rate and the melt filling rate.

[0141] S630. Based on the total heat exchange, the pre-crystallization structure information is calculated by using the fitting relationship between the pre-crystallization structure information and the total heat exchange.

[0142] Among them, S610 to S630 are the same as S110 to S130. Please refer to the explanation of S110 to S130 for details, which will not be repeated here.

[0143] S640: Optimize die-casting process parameters based on the comparison result of the pre-crystallization structure information and the judgment threshold.

[0144] Among them, reducing the size (i.e., equivalent diameter and secondary dendrite arm spacing), content (i.e., area fraction) and porosity of the pre-crystallization structure in the casting is the research and development focus of this technical field; comparing the pre-crystallization structure information obtained in S630 with the judgment threshold, if the pre-crystallization structure information is less than or equal to the judgment threshold, it is determined that the die-casting process parameters meet the design requirements and the die-casting process parameters are output; if the pre-crystallization structure information is greater than the judgment threshold, it is determined that the die-casting process parameters do not meet the design requirements, and the die-casting process parameters need to be adjusted, and then S610~S640 are executed until the die-casting process parameters meet the design requirements.

[0145] In some embodiments, Fig.11 FIG. 1 is a flow chart of another method for pre-crystallization structure pre-determination provided by an embodiment of the present disclosure. Fig.11 , the method comprising:

[0146] S710, obtaining the heat exchange amount and melt filling rate of the melt-injection chamber interface corresponding to each time node during the injection process.

[0147] S720. Calculate the total heat exchange rate between the melt and the pressure chamber interface based on the heat exchange rate and the melt filling rate.

[0148] S730. Based on the total heat exchange, the pre-crystallization structure information is calculated by using the fitting relationship between the pre-crystallization structure information and the total heat exchange.

[0149] Among them, S710 to S730 are the same as S110 to S130. Please refer to the explanation of S110 to S130 for details, which will not be repeated here.

[0150] S740, optimizing die-casting process parameters based on comparison results of at least two groups of pre-crystallization structure information.

[0151] Specifically, multiple values ​​are set for the same die-casting process parameter, and by comparing the pre-crystallization structure information, the value corresponding to the die-casting process parameter with the smallest size, content and porosity of the pre-crystallization structure is screened out as the optimal die-casting process parameter.

[0152] As shown in Table 1, the die-casting process parameters, total heat exchange and pre-crystallization structure information in some embodiments are listed. The optimization process of the die-casting process parameters is exemplified below in combination with the data in Table 1.

[0153] Table 1 Die casting process parameters, total heat transfer and pre-crystallization structure information

[0154]

[0155] For example, in the die-casting process parameters corresponding to the embodiments No. 1 and No. 2, only the values ​​of the interface heat transfer coefficient are different, and the values ​​of other die-casting process parameters are the same. By comparing the pre-crystallization structure information obtained in the embodiments No. 1 and No. 2, the interface heat transfer coefficient can be optimized. Specifically, in the embodiment corresponding to the embodiment No. 1, the interface heat transfer coefficient is set to 3000 W / m 2 K, in the embodiment corresponding to No. 1, the interface heat transfer coefficient is set to 4000 W / m 2 K, other die casting process parameters are the same; according to steps S110 to S120, the total heat transfer between the melt and the pressure chamber interface during the injection process is calculated. When the interface heat transfer coefficient is 3000W / m 2 ·K, the corresponding total heat transfer is 1.91×10 4 W, when the interface heat transfer coefficient is 4000W / m 2 ·K, the corresponding total heat transfer is 2.97×10 4 W; then according to step S130, the pre-crystallization structure information is calculated as follows:

[0156] When the interface heat transfer coefficient is 3000W / m 2 ·K, the calculated equivalent diameter of the pre-crystallized structure is 20um, and the area fraction is 11.94%. When the interface heat transfer coefficient is 4000W / m 2 ·K, the calculated equivalent diameter of the pre-crystallized structure is 25um, and the area fraction is 28.09%. Therefore, the interface heat transfer coefficient is 3000W / m 2 K, the equivalent diameter and area fraction of the pre-crystallized structure are small, and the value of the interface heat transfer coefficient can be determined to be 3000 W / m 2 K, to optimize the process parameter of interface heat transfer coefficient.

[0157] For example, by comparing the pre-crystallization structure information of the embodiments corresponding to sequence numbers 7, 8 and 9, the injection rate of the punch in the slow injection stage in the die casting process parameters (denoted by “V 1 ", the unit is: m / s) for optimization, specifically: the injection rate V of the punch in the slow injection stage in the die casting process parameters 1 The values ​​include 0.1, 0.2 and 0.4. The other die-casting process parameters are the same. The melt material is magnesium alloy AM50. According to the steps S110 to S120, the total heat exchange between the melt and the pressure chamber interface during the injection process is calculated to be 4.00×104 W, 2.99×10 4 W and 2.49×10 4 W; then according to step S130, the pre-crystallization structure information is calculated as follows:

[0158] When the punch injection rate value V 1 When the injection rate of the slow injection stage punch in the die casting process parameters is V 1 When the injection rate of the punch in the slow injection stage in the die casting process parameters is V 1 When the velocity is 0.4 m / s, the equivalent diameter of the pre-crystallized structure is calculated to be 105 μm, and the area fraction is 22%. Therefore, the injection rate of the punch in the slow injection stage in the die casting process parameters is V 1 When it is 0.4m / s, the equivalent diameter and area fraction of the pre-crystallized structure are the smallest, and the value of the punch injection rate V in the slow injection stage can be determined. 1 The value V is 0.4m / s, which is used to set the injection rate of the punch in the slow injection stage. 1 Optimization of process parameters.

[0159] For another example, by comparing the pre-crystallization structure information of the embodiments corresponding to sequence numbers 3, 4, 5 and 6, the injection rate of the punch in the slow injection stage in the die casting process parameters (expressed as “V 1 ", the unit is: m / s) for optimization, specifically: the injection rate V of the punch in the slow injection stage in the die casting process parameters 1 The values ​​include 0.05, 0.10, 0.15 and 0.4. The other die casting process parameters are the same, and the melt material is aluminum-magnesium alloy. According to the steps S110 to S120, the total heat exchange between the melt and the pressure chamber interface during the injection process is calculated to be 6.18×10 4 W, 4.08×10 4 W, 3.38×10 4 W and 2.50×10 4 W; then according to step S130, the pre-crystallization structure information is calculated, and the pre-crystallization structure information includes equivalent diameter, area fraction, secondary dendrite arm spacing and porosity. After comparison, the injection rate V of the punch in the slow injection stage is determined. 1 When the value is 0.4m / s, the equivalent diameter, area fraction, secondary dendrite arm spacing and porosity of the pre-crystallized structure are better than those under other conditions, and the injection rate V of the punch in the slow injection stage can be determined. 1When the optimal value is 0.4m / s, the punch injection rate V in the slow injection stage is achieved. 1 Optimization of process parameters.

[0160] Based on the same inventive concept, the embodiment of the present disclosure also provides a pre-crystallization tissue pre-determination device, which can execute the steps of any pre-crystallization tissue pre-determination method provided by the embodiment of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method. In order to avoid repeated description, it will not be repeated here.

[0161] like Fig.12 FIG. 1 is a schematic diagram of a pre-crystallization structure pre-determination device provided by an embodiment of the present disclosure. Fig.12 The pre-crystallization structure pre-determination device 100 includes: an acquisition module 101, which is used to obtain the heat exchange and melt filling rate of the melt-pressure chamber interface corresponding to each time node during the injection process; a first calculation module 102, which is used to calculate the total heat exchange of the melt-pressure chamber interface based on the heat exchange and the melt filling rate; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node with a melt filling rate less than or equal to 1; a second calculation module 103, which is used to calculate the pre-crystallization structure information based on the total heat exchange and the corresponding relationship between the pre-crystallization structure information and the total heat exchange; wherein the pre-crystallization structure information includes at least one of the equivalent diameter, area fraction, secondary dendrite arm spacing and porosity; the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange.

[0162] In some embodiments, an acquisition module is used to obtain the heat exchange amount at the interface between the melt and the pressure chamber corresponding to each time node during the injection process, including: obtaining the die-casting process parameters; based on the die-casting process parameters, calculating the contact area between the melt and the pressure chamber corresponding to each time node during the injection process; based on the contact area between the melt and the pressure chamber, using the correspondence between the heat exchange amount and the contact area, calculating the heat exchange amount at the interface between the melt and the pressure chamber at each time node.

[0163] In some embodiments, the die casting process parameters include at least the total injection stroke L 0 , Injection stroke L in slow injection stage 1 , injection time t, melt residence time t 1 , the punch injection rate V in the slow injection stage 1 , the punch injection rate V in the fast injection stage 2 , initial melt filling rate f 0 and the radius r of the pressure chamber; the acquisition module is used to calculate the contact area between the melt and the pressure chamber corresponding to each time node based on the die-casting process parameters, including:

[0164] The remaining axial length L of the pressure chamber is calculated using the following formula:

[0165]

[0166] Based on the remaining axial length of the pressure chamber, the center angle n corresponding to the melt is calculated using the following formula:

[0167]

[0168] The contact area between the melt and the pressure chamber corresponding to each time node is calculated using the remaining axial length L of the pressure chamber and the center angle n. The formula used is:

[0169] A=nrL+(n-sin n)r 2 ;

[0170] Where A represents the contact area between the melt and the pressure chamber.

[0171] In some embodiments, the die-casting process parameters also include the interface heat transfer coefficient between the melt and the pressure chamber and the wall thickness of the casting; the acquisition module is used to calculate the heat transfer of the melt and the pressure chamber interface at each time node based on the contact area between the melt and the pressure chamber and the corresponding relationship between the heat transfer and the contact area, including: calculating the cooling rate based on the wall thickness of the casting; calculating the heat transfer of the melt and the pressure chamber interface at each time node based on the contact area between the melt and the pressure chamber, the interface heat transfer coefficient and the cooling rate, and the formula used is:

[0172] dQ = hdAΔT = hRdAdt;

[0173] Among them, dQ represents the heat exchange at the interface between the melt and the pressure chamber at each time node; dA is the contact area between the melt and the pressure chamber at the time node, h represents the interface heat transfer coefficient between the melt and the pressure chamber, △T represents the temperature difference between the melt temperature and the pressure chamber temperature, R represents the cooling rate, and dt represents the time interval between two adjacent time nodes.

[0174] In some embodiments, the acquisition module is used to calculate the cooling rate based on the wall thickness of the casting, including: modifying the first parameter and the second parameter based on the wall thickness of the casting; and calculating the cooling rate based on the modified first parameter and the second parameter using the following formula:

[0175]

[0176] Wherein, a represents the corrected first parameter, c represents the corrected second parameter, and λ represents the thermal conductivity of the melt.

[0177] In some embodiments, the acquisition module is used to calculate the melt filling rate using the following formula:

[0178]

[0179] Where f represents the melt filling rate.

[0180] In some embodiments, the pre-crystallization structure information (including at least one of the equivalent diameter, area fraction, secondary dendrite arm spacing and porosity) increases with the increase of the total heat exchange between the melt and the pressure chamber, and the pre-crystallization structure information is exponentially related to the total heat exchange, then a one-variable multi-time equation is selected to set the fitting relationship, that is, Y = k1×X+k2×X 2 +......+km×X m +n,, where m≥2, k1, k2, ..., km are coefficients, and n is a constant;; by inputting the actual data accumulated in the die-casting test, the fitting relationship is corrected, and the corrected fitting relationship is used to calculate the pre-crystallization structure information.

[0181] The equivalent diameter of the pre-crystallized structure is calculated using the following formula:

[0182]

[0183] Among them, D ESC represents the equivalent diameter of the pre-crystallized structure, represents the equivalent diameter of the minimum pre-crystallization structure, Q represents the total heat exchange between the melt and the pressure chamber interface, Q 0 represents the minimum total heat transfer, and b represents the sensitivity coefficient of the equivalent diameter of the pre-crystallized structure to the heat transfer.

[0184] The area fraction of the pre-crystallized structure is calculated using the following formula:

[0185]

[0186] Among them, A ESC represents the area fraction of die-casting pre-crystallized structure, represents the area fraction of the minimum pre-crystallization structure, and e represents the sensitivity coefficient of the area fraction of the pre-crystallization structure to the heat transfer.

[0187] The secondary dendrite arm spacing of the pre-crystallized structure is calculated using the following formula:

[0188]

[0189] Among them, D ESC-SDAS Represents the secondary dendrite arm spacing of the pre-crystallized structure, represents the secondary dendrite arm spacing of the minimum pre-crystallization structure, and i represents the sensitivity coefficient of the secondary dendrite arm spacing of the pre-crystallization structure to the heat transfer.

[0190] The porosity of the pre-crystallized structure is calculated using the following formula:

[0191]

[0192] Where P represents the porosity of the pre-crystallized structure, P 0represents the porosity of the minimum pre-crystallization structure, and j represents the sensitivity coefficient of the porosity of the pre-crystallization structure to the heat exchange.

[0193] In some embodiments, the device also includes: an optimization module for optimizing the die-casting process parameters based on the comparison results of the pre-crystallization structure information and the judgment threshold; or, for optimizing the die-casting process parameters based on the comparison results of at least two groups of the pre-crystallization structure information.

[0194] For contents not described in detail in the device embodiments of the present disclosure, reference may be made to the description in any method embodiments of the present disclosure.

[0195] Based on the above implementation, Fig.13 As shown, the embodiment of the present disclosure also provides an electronic device 200, including: a processor 202 and a memory 201; the processor 202 is used to execute the steps of any of the above methods by calling the program or instructions stored in the memory 201, which has corresponding beneficial effects. To avoid repetition, they will not be repeated here.

[0196] The memory 201 may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. In some implementations, the memory 201 stores the following elements: executable units or data structures, or their subsets, or their extended set operating systems and applications.

[0197] The processor 202 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 202 or by instructions in the form of software. The above processor 202 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components; a general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0198] Based on the above implementation, the embodiment of the present disclosure also provides a computer-readable storage medium, on which programs or instructions are stored. The programs or instructions enable the computer to execute the steps of any of the above methods, which have corresponding beneficial effects. To avoid repetition, they will not be repeated here.

[0199] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0200] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for pre-crystallization structure pre-determination, characterized in that: include: Obtain the heat exchange amount and melt filling rate at the interface between the melt and the injection chamber corresponding to each time node during the injection process; Based on the heat exchange and the melt filling rate, the total heat exchange between the melt and the pressure chamber interface is calculated; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node when the melt filling rate is less than or equal to 1; Based on the total heat exchange rate, the pre-crystallization structure information is calculated using the fitting relationship between the pre-crystallization structure information and the total heat exchange rate; wherein the pre-crystallization structure information includes at least one of an equivalent diameter, an area fraction, a secondary dendrite arm spacing and a porosity; and the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange rate.

2. The method according to claim 1, characterized in that The step of obtaining the heat exchange between the melt and the injection chamber interface corresponding to each time node during the injection process includes: Obtain die casting process parameters; Based on the die-casting process parameters, calculating the contact area between the melt and the pressure chamber corresponding to each time node during the injection process; Based on the contact area between the melt and the pressure chamber, the heat exchange at the interface between the melt and the pressure chamber at each time node is calculated using the corresponding relationship between the heat exchange amount and the contact area.

3. The method according to claim 2, characterized in that The die-casting process parameters include at least the total injection stroke L0, the injection stroke L1 of the slow injection stage, the injection time t, the melt residence time t1, the injection rate V1 of the punch in the slow injection stage, the injection rate V2 of the punch in the fast injection stage, the initial melt filling rate f0 and the pressure chamber radius r; The step of calculating the contact area between the melt and the die-casting chamber corresponding to each time node based on the die-casting process parameters includes: The remaining axial length L of the pressure chamber is calculated using the following formula: Based on the remaining axial length of the pressure chamber, the center angle n corresponding to the melt is calculated using the following formula: The contact area between the melt and the pressure chamber corresponding to each time node is calculated using the remaining axial length L of the pressure chamber and the center angle n. The formula used is: A=nrL+(n-sin n)r 2 ; Where A represents the contact area between the melt and the pressure chamber.

4. The method according to claim 3, characterized in that The die casting process parameters also include the interface heat transfer coefficient between the melt and the pressure chamber and the wall thickness of the casting; the heat transfer at the interface between the melt and the pressure chamber at each time node is calculated based on the contact area between the melt and the pressure chamber and the corresponding relationship between the heat transfer and the contact area, including: Calculating a cooling rate based on the wall thickness of the casting; Based on the contact area between the melt and the pressure chamber, the interface heat transfer coefficient and the cooling rate, the heat transfer amount of the melt and the pressure chamber interface at each time node is calculated, and the formula used is: dQ = hdAΔT = hRdAdt; Among them, dQ represents the heat exchange at the interface between the melt and the pressure chamber at each time node; dA is the contact area between the melt and the pressure chamber at the time node, h represents the interface heat transfer coefficient between the melt and the pressure chamber, △T represents the temperature difference between the melt temperature and the pressure chamber temperature, R represents the cooling rate, and dt represents the time interval between two adjacent time nodes.

5. The method according to claim 4, characterized in that The step of calculating the cooling rate based on the wall thickness of the casting comprises: Modifying the first parameter and the second parameter based on the wall thickness of the casting; Based on the corrected first parameter and second parameter, the cooling rate is calculated using the following formula: Wherein, a represents the corrected first parameter, c represents the corrected second parameter, and λ represents the thermal conductivity of the melt.

6. The method according to claim 3, characterized in that The melt filling rate is calculated using the following formula: Where f represents the melt filling rate.

7. The method according to claim 1, characterized in that The pre-crystallization structure information is exponentially related to the total heat exchange, and the fitting relationship includes at least one of the following: Among them, D ESC represents the equivalent diameter of the pre-crystallized structure, represents the equivalent diameter of the minimum pre-crystallization structure, Q represents the total heat transfer between the melt and the pressure chamber interface, Q0 represents the minimum total heat transfer, b represents the sensitivity coefficient of the equivalent diameter of the pre-crystallization structure to the heat transfer, A ESC represents the area fraction of die-casting pre-crystallized structure, represents the area fraction of the minimum pre-crystallized structure, e represents the sensitivity coefficient of the area fraction of the pre-crystallized structure to the heat transfer, and D ESC-SDAS Represents the secondary dendrite arm spacing of the pre-crystallized structure, represents the secondary dendrite arm spacing of the minimum pre-crystallization structure, i represents the sensitivity coefficient of the secondary dendrite arm spacing of the pre-crystallization structure to the heat exchange, P represents the porosity of the pre-crystallization structure, P0 represents the porosity of the minimum pre-crystallization structure, and j represents the sensitivity coefficient of the porosity of the pre-crystallization structure to the heat exchange.

8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: Optimizing die-casting process parameters based on the comparison result of the pre-crystallization structure information and the judgment threshold; or, The die casting process parameters are optimized based on the comparison results of at least two groups of the pre-crystallization structure information.

9. A pre-crystallization structure pre-determination device, characterized in that: include: An acquisition module is used to obtain the heat exchange amount and melt filling rate of the melt-pressure chamber interface corresponding to each time node during the injection process; A first calculation module is used to calculate the total heat exchange between the melt and the pressure chamber interface based on the heat exchange and the melt filling rate; wherein the total heat exchange is equal to the sum of the heat exchange corresponding to each time node when the melt filling rate is less than or equal to 1; The second calculation module is used to calculate the pre-crystallization structure information based on the total heat exchange rate and using the fitting relationship between the pre-crystallization structure information and the total heat exchange rate; wherein the pre-crystallization structure information includes at least one of equivalent diameter, area fraction, secondary dendrite arm spacing and porosity; and the fitting relationship is used to represent the functional relationship between the pre-crystallization structure information and the total heat exchange rate.

10. An electronic device, characterized in that: include: Processor and memory; The processor is used to execute the steps of the method according to any one of claims 1 to 8 by calling the program or instruction stored in the memory.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and the program or instruction enables a computer to execute the steps of the method according to any one of claims 1 to 8.

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