A die-casting control method and system for forming building metal materials

Abstract

The present invention relates to the field of die-casting cooling temperature control technology, and specifically to a die-casting control method and system for forming architectural metal materials. The present invention first obtains temperature data of each detection point and determines the flow channel detection point; further, based on the temperature difference and distance between the flow channel detection point and the glue inlet, combined with the temperature change difference of the flow channel detection points in the preset neighborhood at adjacent moments, obtains the temperature dissipation parameter; further obtains the cooling fluctuation index of each pair of adjacent flow channel detection points, and screens out the detection points to be analyzed; further, based on the coolant flow rate difference between the detection point to be analyzed and the adjacent flow channel detection points, the temperature dissipation parameter difference and the corresponding cooling fluctuation index, obtains the flow velocity influence index of each detection point to be analyzed; finally, based on the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow velocity influence index and the coolant flow rate, adjusts the coolant flow rate, optimizes the die-casting cooling temperature control, reduces the generation of shrinkage holes, and ensures product quality.

Description

Technical Field

[0001] The present invention relates to the technical field of die-casting cooling temperature control, and in particular to a die-casting control method and system for forming building metal materials. Background Art

[0002] Die-casting of architectural metal materials involves pouring molten metal into a mold and then cooling it to form the final product. Aluminum-magnesium alloys, due to their lightweight and easy-to-process characteristics, have become a key material for architectural die-casting. However, improper die-casting operations can easily lead to shrinkage cavities, a common quality defect in die-cast parts. Shrinkage cavities negatively impact product performance and aesthetics, and in severe cases, can lead to the scrapping of die-cast parts.

[0003] In existing technologies, coolant flow rates are typically fixed or controlled in simple segments, making it difficult to dynamically adjust them based on real-time temperature changes during the die-casting process. This static control approach is unsuitable for the complex demands of die-casting processes. During the die-casting process, the cooling temperature can be distorted, leading to the formation of a sealed, hard shell on the outer surface of the casting. This prevents the metal from being fully replenished during solidification, creating hollow spaces at the solidification site and resulting in shrinkage cavities, which can affect product quality. Summary of the Invention

[0004] In order to solve the technical problem of improper control of coolant flow rate for die-casting molds, which affects product quality, the purpose of the present invention is to provide a die-casting control method and system for forming architectural metal materials. The technical solutions adopted are as follows:

[0005] A die-casting control method for forming a building metal material, the method comprising:

[0006] Acquire temperature data of each detection point; take the detection point at the glue inlet as the starting point, iteratively extend the starting point according to the temperature difference between the starting point and the detection points in the preset neighborhood, and obtain the flow channel detection point;

[0007] According to the temperature difference and distance between the flow channel detection point and the glue inlet, combined with the temperature change difference of the flow channel detection point at adjacent moments within the preset neighborhood of each flow channel detection point, the temperature dissipation parameter of each flow channel detection point is obtained; according to the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, the cooling fluctuation index of each pair of adjacent flow channel detection points is obtained; according to the fluctuation of the cooling fluctuation index, the detection point to be analyzed is screened; according to the coolant flow rate difference, temperature dissipation parameter difference and corresponding cooling fluctuation index between the detection point to be analyzed and the adjacent flow channel detection points, the flow rate influence index of each detection point to be analyzed is obtained;

[0008] According to the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow velocity influence index of each detection point to be analyzed and the coolant flow rate, the coolant flow rate is adjusted; at each sampling moment, it is detected whether there is a new flow channel detection point, and the coolant flow rate is readjusted.

[0009] Furthermore, the method for obtaining the flow channel detection point includes:

[0010] Within the preset neighborhood of the current starting point, obtain the temperature difference value between the current starting point and the other detection points, and obtain the average value of all the temperature difference values ​​as the temperature difference average value; mark the detection point whose temperature difference value is greater than the temperature difference average value as a new starting point, and mark it as a runner detection point, and perform iterative extension until the mold is retrieved or there is no new starting point, and terminate the iteration.

[0011] Furthermore, the method for obtaining the temperature dissipation parameter includes:

[0012] At the current moment, the ratio of the temperature difference between each flow channel detection point and the detection point at the glue inlet to the sum of the temperature differences between all flow channel detection points and the glue inlet is used as the temperature difference proportional coefficient; the product of the modulus of the coordinate distance between the flow channel detection point and the glue inlet and the temperature difference proportional coefficient is used as the temperature change state parameter of the corresponding flow channel detection point;

[0013] Select any of the flow channel detection points as the target detection point, and the flow channel detection points within the preset neighborhood of the target detection point as the neighborhood detection point, and take the average of the temperature difference values ​​of all the neighborhood detection points at the current moment and the historical adjacent moments as the temperature change average value; based on the temperature change state parameter, perform weighted averaging on the absolute value of the difference between the temperature difference value corresponding to the neighborhood detection point at the current moment and the temperature change average value, and use the weighted averaging result as the temperature dissipation parameter of the target detection point at the current moment.

[0014] Furthermore, the method for obtaining the cooling fluctuation index includes:

[0015] At the current moment, the absolute value of the difference between the temperature dissipation parameter of each flow channel detection point and the average value of the temperature dissipation parameters of all the flow channel detection points is used as the numerator; the average value of the temperature dissipation parameters of all the flow channel detection points is used as the denominator; and the fractional ratio is used as the dissipation proportional coefficient corresponding to the flow channel detection point;

[0016] After the difference in the dissipation proportional coefficients of each pair of adjacent flow channel detection points is mapped through the Softsign function, the mapped value is used as the cooling fluctuation index corresponding to the two flow channel detection points.

[0017] Furthermore, the method for obtaining the detection points to be analyzed includes:

[0018] When the signs of the two cooling fluctuation indices corresponding to the flow channel detection point are opposite, the flow channel detection point is marked as a detection point to be analyzed.

[0019] Furthermore, the method for obtaining the flow velocity impact index includes:

[0020] Matching the detection point to be analyzed with the nearest coolant pipeline; using the coolant flow rate in the coolant pipeline as the coolant flow rate of the matched detection point to be analyzed;

[0021] At the current moment, for each of the detection points to be analyzed, the difference in coolant flow rate between the detection point to be analyzed and the adjacent flow channel detection point is used as the numerator, and the ratio of the temperature dissipation parameters of the detection point to be analyzed and the adjacent flow channel detection point is multiplied by the corresponding cooling fluctuation index as the denominator. The fractional ratio is normalized and used as the flow rate influence index.

[0022] Furthermore, the method for adjusting the coolant flow rate includes:

[0023] At the current moment, the absolute value of the difference between the maximum and average values ​​of the numerical film value of the cooling fluctuation index and the constant 1 is used as the numerator; the absolute value of the difference between the flow rate influence index and the average value of all the flow rate influence indices and the ratio of the coolant flow rate is used as the denominator, and the fractional ratio is used as the flow rate optimization parameter corresponding to the detection point to be analyzed;

[0024] The coolant flow rate is adjusted according to the flow rate optimization parameter at the current moment.

[0025] Furthermore, the method for adjusting the coolant flow rate according to the flow rate optimization parameter at the current moment includes:

[0026] The product of the average value of the flow rate optimization parameters of all the detection points to be analyzed matched by each of the coolant pipes and the coolant flow rate of each of the coolant pipes is used as the optimized flow rate of each of the coolant pipes.

[0027] Furthermore, the detection points are evenly distributed on the surface of the die-casting mold.

[0028] The present invention also proposes a die-casting control system for forming architectural metal materials. The system includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements any one of the steps of the die-casting control method for forming architectural metal materials.

[0029] The present invention has the following beneficial effects:

[0030] The present invention first obtains the temperature data of each detection point to provide a data basis; further obtains the flow channel detection point to accurately track the flow path and temperature change trend of the molten metal; further obtains the temperature dissipation parameter of each flow channel detection point to characterize the degree of temperature change and the uniformity of temperature change at the flow channel detection point, and represents the cooling characteristics at the flow channel detection point; further, based on the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, obtains the cooling fluctuation index of each pair of adjacent flow channel detection points, reflects the cooling difference pattern in the local area, screens out the detection points to be analyzed, and locates the key points of uneven cooling. points, so as to facilitate the subsequent precise adjustment of the coolant flow rate; further obtain the flow rate influence index of each detection point to be analyzed, characterize the specific influence of the coolant flow rate on the cooling process of the detection point to be analyzed, and provide a basis for the subsequent reasonable adjustment of the coolant flow rate; further analyze the solidification degree of the molten metal according to the distribution characteristics of the film value of the cooling fluctuation index, adjust the coolant flow rate in combination with the deviation of the flow rate influence index of each detection point to be analyzed and the coolant flow rate, dynamically adjust the coolant flow rate, and optimize the temperature control of the cooling process; and detect whether there is a new flow channel detection point at each sampling moment, and readjust the coolant flow rate. The present invention tracks the flow path of the molten metal, analyzes the cooling characteristics of the molten metal in each area, locates the detection points with uneven cooling and analyzes the influence of the coolant flow rate, dynamically adjusts the coolant flow rate, optimizes the temperature control of the cooling process, and ensures product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 A flowchart of a die-casting control method for forming building metal materials provided by one embodiment of the present invention;

[0033] Figure 2 A schematic diagram of a die-casting mold coordinate system provided by one embodiment of the present invention;

[0034] Figure 3 A schematic diagram of molten metal flow provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0035] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a die-casting control method and system for forming architectural metal materials, including its specific implementation, structure, features, and effectiveness. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0037] The specific scheme of the die-casting control method and system for forming building metal materials provided by the present invention is described in detail below with reference to the accompanying drawings.

[0038] See also Figure 1 , which shows a flow chart of a die-casting control method for forming building metal materials provided by one embodiment of the present invention, specifically comprising:

[0039] Step S1: Acquire the temperature data of each detection point; take the detection point at the glue inlet as the starting point, iteratively extend the starting point according to the temperature difference between the starting point and the detection points in the preset neighborhood, and obtain the flow channel detection point.

[0040] See also Figure 2 , which shows an embodiment of the present invention, so a schematic diagram of a die-casting mold coordinate system is provided. Figure 2 In the paper, a two-dimensional rectangular coordinate system is established with the upper left corner of the die-casting mold as the origin, and the detection points are evenly distributed on the surface of the die-casting mold to obtain the temperature data of each area.

[0041] In one embodiment of the present invention, the surface of the die-casting mold is divided into squares with a side length of 0.5 cm. The center point of each square is a detection point. The temperature data of each detection point is obtained in real time by an infrared temperature sensor. The collection time interval is 0.5 seconds, providing a data basis for subsequent analysis.

[0042] It should be noted that during the die-casting process, the pouring temperature of the molten metal is usually very high, the die-casting mold needs to dissipate heat quickly, and the material of the outer shell of the die-casting mold is consistent, so the temperature of the detection point on the surface of the die-casting mold can represent the internal temperature.

[0043] In other embodiments of the present invention, taking into account factors such as the complex internal structure of the die-casting mold, which affects the temperature transfer to the outside, the thick shell of the die-casting mold, and the long time it takes for the temperature transfer to take place, a temperature sensor can be installed inside the die-casting mold, and the temperature sensor needs to be on the same plane;

[0044] It is also possible to use the intersection of multiple coolant pipes around the die-casting area with the intersection of multiple pipes and the same plane to represent the contact point between the pipes and the die-casting area; install temperature sensors at the contact points; or monitor the temperature difference between the inlet and outlet of the coolant pipes, combine the coolant flow rate, specific heat capacity and heat transfer efficiency, train a machine learning model, and obtain temperature data at the contact points.

[0045] Taking into account that the metal liquid enters the die-casting mold from the glue inlet or injection port and flows in the flow channel reserved in the die-casting mold, it is necessary to analyze the temperature data of the detection points in the flow direction of the metal liquid. The metal liquid will gradually cool down during the flow process, and its temperature distribution will form a certain gradient change along the flow direction. Therefore, the detection point at the glue inlet is taken as the starting point. According to the temperature difference between the starting point and the detection point in the preset neighborhood, the starting point is iteratively extended to obtain the flow channel detection point, which can accurately track the flow path and temperature change trend of the metal liquid.

[0046] Preferably, in one embodiment of the present invention, within a preset neighborhood of the current starting point, temperature difference values ​​between the current starting point and other detection points are obtained, and an average value of all temperature difference values ​​is obtained as the temperature difference average value;

[0047] Considering that the molten metal gradually cools down when flowing in the runner, the detection point with a temperature difference value greater than the average temperature difference is marked as a new starting point and marked as a runner detection point. The iteration is extended until the mold is retrieved or there is no new starting point, and the iteration is terminated.

[0048] It should be noted that the preset neighborhood is an eight-neighborhood neighborhood centered on the starting point, and the temperature difference value is the absolute value of the temperature difference; when the new starting point determined within the preset neighborhood of the latest starting point is a marked detection point, it means that there is no new starting point.

[0049] In other embodiments of the present invention, the implementer may also set the preset neighborhood to other shapes such as four neighborhoods, select the detection point with the largest temperature difference value greater than the average temperature difference value and marked as a new starting point for iteration.

[0050] See also Figure 3 , which shows a schematic diagram of a metal liquid flow provided by an embodiment of the present invention, Figure 3 It includes the injection port, also called the glue inlet, and marks the flow direction and flow channel.

[0051] Step S2: Based on the temperature difference and distance difference between the flow channel detection point and the glue inlet, combined with the temperature changes of the flow channel detection points at adjacent moments within the preset neighborhood of each flow channel detection point, the temperature dissipation parameter of each flow channel detection point is obtained; based on the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, the cooling fluctuation index of each pair of adjacent flow channel detection points is obtained; based on the fluctuation of the cooling fluctuation index, the detection points to be analyzed are screened out; based on the coolant flow rate difference, temperature dissipation parameter difference and corresponding cooling fluctuation index between the detection point to be analyzed and the adjacent flow channel detection points, the flow rate influence index of each detection point to be analyzed is obtained.

[0052] Taking into account that the temperature difference and distance between the flow channel detection point and the glue inlet reflect the temperature drop characteristics of the flow channel detection point, the temperature change of the flow channel detection points in the preset neighborhood at adjacent times reflects the local equilibrium characteristics of the temperature drop. Therefore, according to the temperature difference and distance between the flow channel detection point and the glue inlet, combined with the temperature change difference of the flow channel detection points in the preset neighborhood of each flow channel detection point at adjacent times, the temperature dissipation parameter of each flow channel detection point is obtained.

[0053] Preferably, in one embodiment of the present invention, considering the temperature difference between the flow channel detection point and the glue inlet, the greater the total temperature difference between all flow channel detection points and the glue inlet, the greater the temperature difference at this flow channel detection point is, and the greater the temperature change is. Therefore, at the current moment, the ratio of the temperature difference value between each flow channel detection point and the detection point of the glue inlet to the sum of the temperature difference values ​​of all flow channel detection points and the glue inlet is used as the temperature difference proportional coefficient; the temperature difference between the flow channel detection point and the glue inlet is expressed by means of the temperature difference proportional coefficient;

[0054] Considering that the farther the detection point is from the glue inlet, the more obvious the cooling effect, the more significant the temperature drop, and the greater the temperature change; therefore, the product of the coordinate distance modulus between the runner detection point and the glue inlet and the temperature difference proportional coefficient is used as the temperature change state parameter of the corresponding runner detection point. The temperature change state parameter is used to express the distance between the runner detection point and the glue inlet with the help of the coordinate distance modulus;

[0055] Select any flow channel detection point as the target detection point, and the flow channel detection points within the preset neighborhood of the target detection point as the neighborhood detection points;

[0056] Considering that the smaller the difference between the temperature change value of the neighborhood detection point at the adjacent time and the average temperature change value of all neighborhood detection points is, the stronger the consistency of the local temperature change is and the more balanced the temperature dissipation is; at the same time, the smaller the temperature change state parameter is, the smaller the temperature change of the domain detection point is. Therefore, the average value of the temperature difference between the current time and the historical adjacent time of all neighborhood detection points is taken as the average temperature change value;

[0057] Based on the temperature change state parameter, the absolute value of the difference between the temperature difference value corresponding to the neighborhood detection point at the current moment and the average temperature change value is weighted and averaged, and the weighted average result is used as the temperature dissipation parameter of the target detection point at the current moment.

[0058] As an example, the calculation formula for the temperature dissipation parameter includes:

[0059] ;

[0060] Where i represents the serial number of the flow channel detection point; represents the temperature dissipation parameter of the i-th flow channel detection point; represents the number of neighboring detection points of the i-th flow channel detection point; Indicates the sequence number of the neighborhood detection point; Indicates taking the absolute value; Indicates the first detection point of the i-th flow channel Temperature change state parameters of each neighborhood detection point; , where o is the identifier of the glue inlet; Indicates the first detection point of the i-th flow channel The temperature difference between the neighboring detection points and the glue inlet; Indicates the sum of the temperature differences between all flow channel detection points and the glue inlet; Indicates the first detection point of the i-th flow channel The coordinate distance between the neighborhood detection points and the glue inlet is the modulus length.

[0061] In the calculation formula of temperature dissipation parameter, the coordinate distance modulus is obtained by the Euclidean distance between the coordinate points. As the weighted weight, weighted averaging is performed.

[0062] After the molten metal is injected into the runner, the runner spreads and fills the cavity, so that the mold cavity is filled with molten metal. During the flow process, the molten metal passes through multiple cooling pipes, and the heat dissipated will change. The temperature heat dissipation parameters in different locations are different, so the temperature change differences at the runner detection points at different locations are analyzed.

[0063] Taking into account that the temperature dissipation parameter characterizes the degree of temperature change and the uniformity of temperature change at the flow channel detection point, and represents the cooling characteristics at the flow channel detection point, the latest temperature dissipation parameter distribution difference characteristics of adjacent flow channel detection points reflect the non-uniformity of temperature change and potential thermal imbalance problems during the cooling process. Therefore, the cooling fluctuation index of each pair of adjacent flow channel detection points is obtained based on the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, which is convenient for subsequent detection of uneven cooling areas and positioning of the detection points to be analyzed.

[0064] Preferably, in one embodiment of the present invention, considering that the greater the difference between the temperature dissipation parameter and the average value of the temperature dissipation parameters of all flow channel detection points, the greater the degree of deviation of the temperature dissipation parameter, so at the current moment, the absolute value of the difference between the temperature dissipation parameter of each flow channel detection point and the average value of the temperature dissipation parameters of all flow channel detection points is used as the numerator; the average value of the temperature dissipation parameters of all flow channel detection points is used as the denominator; the fractional ratio is used as the dissipation proportional coefficient of the corresponding flow channel detection point, representing the degree of deviation of each flow channel detection point relative to the global temperature change, and representing the distribution characteristics of the temperature dissipation parameters of the flow channel detection points;

[0065] The difference in the dissipation coefficients between each pair of adjacent flow channel test points is mapped using the Softsign function, and the mapped value is used as the cooling fluctuation index for the corresponding two flow channel test points. The difference in the dissipation coefficients characterizes the distribution of temperature dissipation parameters, and the Softsign function smoothes this distribution to avoid over-response due to extreme differences.

[0066] It should be noted that the Softsign function is a technical means well known to those skilled in the art. In other embodiments of the present invention, the implementer may replace it with an odd function with a limited output range, such as the tanh function, and will not be described in detail.

[0067] When creating a composite metal die-casting mold, solid metal is placed in the mold, allowing the molten metal to envelop the solid metal and form a bond. This requires more molten metal to be filled in this mold location. The solid metal casting creates a larger internal space, thinner mold walls, and faster and more efficient heat exchange. When cooling the molten metal, it's important to ensure consistent temperature changes across the mold to prevent differential cooling rates in different areas of the mold, which could lead to shrinkage holes after solidification.

[0068] Considering that the cooling fluctuation index reflects the degree of fluctuation of temperature changes between adjacent flow channel test points, and reflects the cooling difference pattern in the local area, the cooling and heat dissipation in the uneven cooling area are uneven, which causes abnormal fluctuations in the cooling fluctuation index. Therefore, the test points to be analyzed are screened according to the fluctuation of the cooling fluctuation index, and the key points of uneven cooling are located, which facilitates the subsequent precise adjustment of the coolant flow rate, optimizes temperature control, and reduces porosity defects.

[0069] Preferably, in one embodiment of the present invention, considering that there are usually two adjacent runner detection points, that is, corresponding to two cooling fluctuation indices, these two cooling fluctuation indices reflect the local cooling change characteristics at the runner detection point as the mold structure changes. When the signs of the two cooling fluctuation indices corresponding to the runner detection point are opposite, it indicates that the cooling mode has changed abnormally, and this runner detection point is marked as a detection point to be analyzed.

[0070] For example, the i-th flow channel detection point corresponds to and , if the signs of the two cooling fluctuation indices are opposite, the i-th flow channel detection point is marked as the detection point to be analyzed.

[0071] Taking into account that the temperature change of the test point to be analyzed is affected by the coolant flow rate in the cooling system, and the difference in temperature dissipation parameters and the cooling fluctuation index reflect the difference in cooling effect, the flow rate difference is compared with the temperature change based on the coolant flow rate difference, temperature dissipation parameter difference and corresponding cooling fluctuation index between the test point to be analyzed and the adjacent flow channel test points. The flow rate influence index of each test point to be analyzed is obtained to characterize the specific influence of the coolant flow rate on the cooling process of the test point to be analyzed, providing a basis for the subsequent reasonable adjustment of the coolant flow rate.

[0072] Preferably, in one embodiment of the present invention, the detection point to be analyzed is first matched with the nearest coolant pipe; the coolant flow rate in the coolant pipe is used as the coolant flow rate of the matched detection point to be analyzed, and the coolant flow rate of the detection point to be analyzed is determined;

[0073] At the current moment, for each test point to be analyzed, the difference in coolant flow rate between the test point to be analyzed and the adjacent flow channel test point is used as the numerator to express the flow rate difference characteristic, and the ratio of the temperature dissipation parameter of the test point to be analyzed and the adjacent flow channel test point, multiplied by the corresponding cooling fluctuation index, is used as the denominator to express the cooling effect difference characteristic. After normalization, the fractional ratio is used as the flow rate influence index.

[0074] As an example, the calculation formula for the flow rate impact index includes:

[0075] ;

[0076] Wherein, k is the serial number of the detection point to be analyzed; is the serial number of the flow channel detection point adjacent to the kth detection point to be analyzed in the direction away from the glue inlet; represents the linear normalization function; represents the coolant flow rate of the kth detection point to be analyzed; Indicates the Coolant flow rate at each flow channel detection point; Indicates the kth detection point to be analyzed and the The corresponding cooling fluctuation index of each flow channel detection point, , Represents the average value of the temperature dissipation parameters of all flow channel detection points; represents the temperature dissipation parameter of the kth detection point to be analyzed; Indicates the The temperature dissipation parameters of each flow channel detection point.

[0077] In the calculation formula of flow rate influence index, the first The characteristics of each flow channel detection point are the minuend or the dividend, so that the flow velocity difference characteristics of the numerator part are consistent with the cooling effect difference characteristics of the denominator part.

[0078] It should be noted that since the temperature fluctuates frequently during the cooling process in the die-casting mold, the denominator is not zero. If the denominator is zero, F(k) is directly set to 1.

[0079] Step S3: According to the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow rate influence index of each detection point to be analyzed and the coolant flow rate, the coolant flow rate is adjusted; at each sampling moment, whether there is a new flow channel detection point and the coolant flow rate is readjusted.

[0080] When the temperature cooling effect decreases at the detection point, the area may have a high heat exchange efficiency, causing the metal liquid to cool and solidify, affecting the heat exchange effect at adjacent moments. At this time, the coolant flow rate of the cooling system must be adjusted according to the fluctuation changes.

[0081] Taking into account that the numerical film value of the cooling fluctuation index represents the degree of difference in cooling effects between adjacent detection points, it reflects the degree of solidification of the molten metal and provides a reference basis for adjusting the coolant flow rate; taking into account that the deviation of the flow rate influence index and the coolant flow rate reflect the deviation relationship between the local and the whole under the influence of the coolant flow rate, the coolant flow rate is adjusted according to the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow rate influence index and the coolant flow rate of each detection point to be analyzed, the coolant flow rate is dynamically adjusted, and the temperature control of the cooling process is optimized.

[0082] Preferably, in one embodiment of the present invention, considering that a relatively larger numerical value of the cooling fluctuation index indicates a more uneven cooling rate, a greater degree of solidification of the molten metal, and a greater need to reduce the coolant flow rate to slow down the solidification rate, at the current moment, the absolute value of the difference between the ratio of the maximum value to the average value of the numerical value of the cooling fluctuation index and the constant 1 is used as the numerator;

[0083] Considering that the greater the deviation of the flow rate influence index, the greater the deviation of the flow rate at the test point on cooling from the overall flow rate influence of the system, the absolute value of the difference between the flow rate influence index and the average value of all flow rate influence indices and the ratio of the coolant flow rate are used as the denominator to reflect the actual impact of the flow rate deviation on the cooling effect. The fractional ratio is used as the flow rate optimization parameter for the corresponding test point to be analyzed.

[0084] Adjust the coolant flow rate according to the flow rate optimization parameters at the current moment.

[0085] Preferably, in one embodiment of the present invention, the product of the average value of the flow rate optimization parameters of all the detection points to be analyzed matched by each coolant pipeline and the coolant flow rate of each coolant pipeline is used as the optimized flow rate of each coolant pipeline.

[0086] In order to ensure the continuous operation of the cooling system and adjust the coolant flow rate in real time, it is necessary to readjust the coolant flow rate at each sampling moment. Taking into account that there will be new flow channel detection points in the flow of molten metal, it is also necessary to detect whether there are new flow channel detection points, that is, to iteratively extend within the preset neighborhood of the existing flow channel detection points.

[0087] It should be noted that, in one embodiment of the present invention, the coolant is water, and the water flow rate is adjusted by a hydraulic pump. In other embodiments of the present invention, oil or other cooling media may be used instead; the optimized flow rate does not exceed the maximum flow rate of the coolant designed for the cooling pipe. The method of adjusting the water flow rate by a hydraulic pump is already existing technology. The maximum flow rate can be found in the user manual of the die-casting mold and will not be repeated here.

[0088] One embodiment of the present invention also provides a die-casting control system for forming architectural metal materials, the system including a memory, a processor and a computer program, wherein the memory is used to store the corresponding computer program, the processor is used to run the corresponding computer program, and when the computer program runs in the processor, it can implement a die-casting control method for forming architectural metal materials described in steps S1-S3.

[0089] In summary, in response to the technical problem of improper control of the coolant flow rate of existing die-casting molds, which affects product quality, the present invention proposes a die-casting control method and system for the molding of architectural metal materials. The present invention first obtains the temperature data of each detection point and determines the flow channel detection point; further, based on the temperature difference and distance between the flow channel detection point and the glue inlet, combined with the temperature change difference of the flow channel detection points in the preset neighborhood at adjacent moments, the temperature dissipation parameter is obtained; further, based on the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, the cooling fluctuation index of each pair of adjacent flow channel detection points is obtained, and the detection points to be analyzed are screened; further, based on the coolant flow rate difference, temperature dissipation parameter difference and corresponding cooling fluctuation index between the detection point to be analyzed and the adjacent flow channel detection points, the flow rate influence index of each detection point to be analyzed is obtained; finally, based on the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow rate influence index of each detection point to be analyzed and the coolant flow rate, the coolant flow rate is adjusted.

[0090] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A die-casting control method for forming building metal materials, characterized in that: The method comprises: Acquire temperature data of each detection point; take the detection point at the glue inlet as the starting point, iteratively extend the starting point according to the temperature difference between the starting point and the detection points in the preset neighborhood, and obtain the flow channel detection point; According to the temperature difference and distance between the flow channel detection point and the glue inlet, combined with the temperature change difference of the flow channel detection point at adjacent moments within the preset neighborhood of each flow channel detection point, the temperature dissipation parameter of each flow channel detection point is obtained; according to the latest temperature dissipation parameter distribution difference characteristics of each pair of adjacent flow channel detection points, the cooling fluctuation index of each pair of adjacent flow channel detection points is obtained; according to the fluctuation of the cooling fluctuation index, the detection point to be analyzed is screened; according to the coolant flow rate difference, temperature dissipation parameter difference and corresponding cooling fluctuation index between the detection point to be analyzed and the adjacent flow channel detection points, the flow rate influence index of each detection point to be analyzed is obtained; According to the distribution characteristics of the film value of the cooling fluctuation index, combined with the deviation of the flow velocity influence index of each detection point to be analyzed and the coolant flow rate, the coolant flow rate is adjusted; at each sampling moment, it is detected whether there is a new flow channel detection point, and the coolant flow rate is readjusted.

2. A die-casting control method for forming building metal materials according to claim 1, characterized in that: The method for obtaining the flow channel detection point includes: Within the preset neighborhood of the current starting point, obtain the temperature difference value between the current starting point and the other detection points, and obtain the average value of all the temperature difference values ​​as the temperature difference average value; mark the detection point whose temperature difference value is greater than the temperature difference average value as a new starting point, and mark it as a runner detection point, and perform iterative extension until the mold is retrieved or there is no new starting point, and terminate the iteration.

3. The die-casting control method for forming a building metal material according to claim 1, characterized in that: The method for obtaining the temperature dissipation parameter includes: At the current moment, the ratio of the temperature difference between each flow channel detection point and the detection point at the glue inlet to the sum of the temperature differences between all flow channel detection points and the glue inlet is used as the temperature difference proportional coefficient; the product of the modulus of the coordinate distance between the flow channel detection point and the glue inlet and the temperature difference proportional coefficient is used as the temperature change state parameter of the corresponding flow channel detection point; Select any of the flow channel detection points as the target detection point, and the flow channel detection points within the preset neighborhood of the target detection point as the neighborhood detection point, and take the average of the temperature difference values ​​of all the neighborhood detection points at the current moment and the historical adjacent moments as the temperature change average value; based on the temperature change state parameter, perform weighted averaging on the absolute value of the difference between the temperature difference value corresponding to the neighborhood detection point at the current moment and the temperature change average value, and use the weighted averaging result as the temperature dissipation parameter of the target detection point at the current moment.

4. The die-casting control method for forming a building metal material according to claim 1, characterized in that: The method for obtaining the cooling fluctuation index includes: At the current moment, the absolute value of the difference between the temperature dissipation parameter of each flow channel detection point and the average value of the temperature dissipation parameters of all the flow channel detection points is used as the numerator; the average value of the temperature dissipation parameters of all the flow channel detection points is used as the denominator; and the fractional ratio is used as the dissipation proportional coefficient corresponding to the flow channel detection point; After the difference in the dissipation proportional coefficients of each pair of adjacent flow channel detection points is mapped through the Softsign function, the mapped value is used as the cooling fluctuation index corresponding to the two flow channel detection points.

5. The die-casting control method for forming a building metal material according to claim 1, characterized in that: The method for obtaining the detection points to be analyzed includes: When the signs of the two cooling fluctuation indices corresponding to the flow channel detection point are opposite, the flow channel detection point is marked as a detection point to be analyzed.

6. The die-casting control method for forming a building metal material according to claim 4, characterized in that: The method for obtaining the flow velocity impact index includes: Matching the detection point to be analyzed with the nearest coolant pipeline; using the coolant flow rate in the coolant pipeline as the coolant flow rate of the matched detection point to be analyzed; At the current moment, for each of the detection points to be analyzed, the difference in coolant flow rate between the detection point to be analyzed and the adjacent flow channel detection point is used as the numerator, and the ratio of the temperature dissipation parameters of the detection point to be analyzed and the adjacent flow channel detection point is multiplied by the corresponding cooling fluctuation index as the denominator. The fractional ratio is normalized and used as the flow rate influence index.

7. A die-casting control method for forming building metal materials according to claim 6, characterized in that: The method for adjusting the coolant flow rate comprises: At the current moment, the absolute value of the difference between the maximum and average values ​​of the numerical film value of the cooling fluctuation index and the constant 1 is used as the numerator; the absolute value of the difference between the flow rate influence index and the average value of all the flow rate influence indices and the ratio of the coolant flow rate is used as the denominator, and the fractional ratio is used as the flow rate optimization parameter corresponding to the detection point to be analyzed; The coolant flow rate is adjusted according to the flow rate optimization parameter at the current moment.

8. The die-casting control method for forming a building metal material according to claim 7, characterized in that: The method for adjusting the coolant flow rate according to the flow rate optimization parameter at the current moment includes: The product of the average value of the flow rate optimization parameters of all the detection points to be analyzed matched by each of the coolant pipes and the coolant flow rate of each of the coolant pipes is used as the optimized flow rate of each of the coolant pipes.

9. The die-casting control method for forming a building metal material according to claim 7, characterized in that: The detection points are evenly distributed on the surface of the die-casting mold.

10. A die-casting control system for forming building metal materials, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the die-casting control method for forming a building metal material are implemented as described in any one of claims 1 to 9.

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