Automatic core arrangement control method, system and casting method

Abstract

The present invention discloses an automatic core arrangement control method, system and casting method, and relates to the field of casting modeling technology. The automatic core arrangement control method comprises the following steps: automatic core arrangement preparation, core arrangement quality assessment, core arrangement equipment assessment, trial arrangement stage judgment and automatic adjustment of core arrangement. The present invention compares the core arrangement quality impact index obtained by the obtained core arrangement detection data with the core arrangement quality assessment interval to obtain the trial arrangement result and judges whether to enter the core arrangement stage accordingly. When the core arrangement stage has not been entered, the core arrangement parameters are adjusted and the core arrangement equipment evaluation index is obtained by comparing the core arrangement equipment data with the reference core arrangement equipment data. At the same time, the trial arrangement result of the next preset trial arrangement cycle is obtained to judge whether to enter the core arrangement stage, thereby achieving the effect of improving the core arrangement efficiency in the automatic core arrangement control process, and solving the problem of low core cleaning quality in the automatic core arrangement control process in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of casting modeling technology, and in particular to an automatic core arrangement control method, system and casting method. Background Art

[0002] With the continuous development of casting technology, the demand for complex castings is increasing, especially parts with internal cavities and precision channels. Such castings rely on the precise positioning and effective removal of cores, while traditional manual or semi-automatic core removal methods are inefficient and inconsistent. In order to improve production efficiency and reduce human errors, automated core removal control methods and systems have emerged. This method uses automation technology to accurately control the core removal process and uses sensors, control systems and mechanical equipment to achieve efficient core removal. Combining automated core removal systems with modern casting methods can significantly improve the intelligence of the casting process and production quality, meeting the industry's demand for high-precision castings.

[0003] Existing core removal technologies mainly rely on manual or semi-automatic operations, usually removing the core inside the casting by mechanical vibration, impact or high-pressure water cleaning. Although these methods can complete basic core removal tasks, they have some obvious shortcomings. First, manual operation is inefficient, especially when facing complex geometric structures or large castings, the core removal time is long. Secondly, traditional methods are difficult to ensure the consistency of each product, and are prone to residual core sand or casting damage. In addition, manual core removal requires high skills from workers, and worker fatigue or misoperation may affect quality. In order to overcome these challenges, automated core removal technology has gradually received attention and application.

[0004] For example, the patent application with publication number: CN102284683A discloses a fully automatic precision core assembly molding production line, a casting production line and a production method thereof, comprising: the core assembly molding production line includes an outer mold core making area, an outer mold core conveyor line, an outer mold core surface drying furnace, a cavity core core making area, a cavity core conveyor line, a cavity core surface drying furnace and a core assembly conveyor line; the core assembly molding production line is provided with a robot I with transfer and assembly functions; the casting production line also includes a pouring line and a robot II with a transfer function; the sand cores used for the core assembly are all made, conveyed and assembled on the core assembly molding production line, and all actions are realized in a highly automated manner; the sand cores used for the core assembly are all shot by a cold core box core making machine.

[0005] For example, the invention patent with announcement number: CN111230050B discloses a method for rapid core pulling of a casting core, including: a core pulling device, the core pulling device including a base, a loading unit, a pouring unit, a core pulling and unloading unit and a core column, a loading unit is arranged at the lower end of the base, a pouring unit is arranged at the middle of the upper end of the base, and a core pulling and unloading unit is arranged at the right side of the upper end of the base.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, there is a problem of low core cleaning quality during the automatic core removal control process due to insufficient monitoring of the automatic core removal equipment and the low adaptability of the core removal equipment to cores of different geometric shapes, resulting in insufficient dynamic adjustment capability. Summary of the invention

[0008] The embodiments of the present application solve the problem of low core cleaning quality in the automatic core removal control process in the prior art by providing an automatic core removal control method, system and casting method, thereby improving the core removal efficiency in the automatic core removal control process.

[0009] The embodiment of the present application provides an automated core arrangement control method, comprising the following steps: obtaining automated core arrangement zoning results and core arrangement process zoning results divided according to the core arrangement process, the automated core arrangement zoning results comprising core arrangement zone one, core arrangement zone two and core arrangement zone three, the core arrangement process zoning results comprising a trial arrangement stage and a core arrangement stage; collecting core arrangement detection data of a preset core arrangement cycle in real time through a core arrangement detection sensor in the core arrangement zone three, comparing a core arrangement quality influence index obtained based on the core arrangement detection data with a core arrangement quality evaluation interval obtained from a preset database to obtain a trial arrangement result, and judging whether to enter the core arrangement stage based on the obtained trial arrangement result, the core arrangement quality influence index being used to judge whether the core arrangement parameter setting can meet the core arrangement quality requirements, the trial arrangement results comprising normal core arrangement parameters and abnormal core arrangement parameters; adjusting the core arrangement parameters before entering the core arrangement stage The core row detection sensor in the core row second zone collects the core row equipment data of the next preset trial row cycle, and the core row equipment evaluation index is obtained based on the core row equipment data and the reference core row equipment data obtained from the preset database. The core row equipment evaluation index is used to quantify the impact of equipment on the core row result; the core row quality influence index of the next preset trial row cycle is obtained and the corresponding trial row result is obtained. If the trial row result is that the core row parameters are normal, the core row stage is entered, otherwise the core row equipment evaluation index is compared with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result, and the equipment evaluation result includes normal core row equipment and abnormal core row equipment; based on the trial row result and the equipment evaluation result, it is judged whether to adopt a corresponding adjustment strategy. If no corresponding adjustment strategy is adopted, the core row parameters of the next preset trial row cycle will continue to be adjusted until the core row stage is entered.

[0010] Furthermore, the automated core arrangement zoning result is divided into automated core arrangement execution areas by preset staff according to the automated core arrangement process; the core arrangement zone one represents the area for testing the core arrangement material, the core arrangement zone two represents the area for automatically selecting the corresponding core arrangement mode for the core arrangement process according to the test result of the core arrangement zone one, and the core arrangement zone three represents the area for testing and feedback of the castings after the completion of the core arrangement; the core arrangement detection data includes first detection data and second detection data, the first detection data includes the number of deformation castings, the number of unqualified castings in strength, and the number of cracked castings, the second detection data includes the number of rough castings, the number of castings with residual cores, and the number of castings containing pores; the core arrangement equipment data includes the mean value of equipment vibration frequency, the mean value of fixture clamping force, the mean value of casting displacement deviation, the mean value of equipment temperature, and the mean value of equipment noise.

[0011] Furthermore, the specific acquisition process of the core arrangement quality influence index is as follows: number the preset core arrangement cycles in the core arrangement stage; obtain a first average value based on the first detection data in the core arrangement detection data, and obtain a second average value based on the second detection data in the core arrangement detection data; obtain the core arrangement quality influence index by processing the first average value and the second average value, and the numerical expression of the core arrangement quality influence index is as follows:

[0012] ;

[0013] Where t represents the number of the preset core arrangement cycle, , Indicates the total number of preset core removal cycles. represents the amount of casting deformation in the tth preset core removal cycle, Indicates the number of unqualified casting strength in the tth preset core removal cycle, represents the number of cracked castings in the tth preset core removal cycle, represents the number of rough castings in the tth preset core removal cycle, Indicates the number of core-residual castings in the tth preset core removal cycle, represents the number of castings with pores in the tth preset core removal cycle, It represents the core-discharging quality influence index of the t-th preset core-discharging cycle, and e represents a natural constant.

[0014] Furthermore, the specific process of comparing the core arrangement quality influence index obtained based on the core arrangement detection data with the core arrangement quality assessment interval obtained from the preset database to obtain a trial arrangement result, and judging whether to enter the core arrangement stage based on the obtained trial arrangement result is as follows: compare the core arrangement quality influence index obtained from the core arrangement detection data with the core arrangement quality assessment interval obtained from the preset database: if the core arrangement quality influence index is within the core arrangement quality assessment interval, then the trial arrangement result is recorded as the core arrangement parameters are normal and enters the core arrangement stage; if the core arrangement quality influence index is not within the core arrangement quality assessment interval, then the trial arrangement result is recorded as the core arrangement parameters are abnormal and the core arrangement parameters are adjusted according to preset rules in the next preset trial arrangement cycle of the trial arrangement stage of the core arrangement zone 2.

[0015] Furthermore, the specific steps of adjusting the core row parameters according to preset rules in the next preset trial row cycle in the trial row stage of the core row zone 2 are as follows: if the trial row result is that the core row parameters are exceeded, then the core row parameters of the next preset trial row cycle are the product of the difference between the preset reduction ratio and the value 1 and the core row parameters of the current preset trial row cycle; if the trial row result is that the core row parameters are insufficient, then the core row parameters of the next preset trial row cycle are the product of the sum of the preset increase ratio and the value 1 and the core row parameters of the current preset trial row cycle; the core row parameter abnormalities include core row parameter excess and core row parameter shortage.

[0016] Furthermore, the preset trial core-rowing cycles are numbered, and reference core-rowing equipment data are obtained from a preset database, wherein the reference core-rowing equipment data include maximum vibration frequency, maximum equipment temperature, maximum equipment noise, a reference interval of clamp clamping force, and a reference casting displacement deviation, wherein the reference interval of clamp clamping force is the range corresponding to the minimum clamping force and the maximum clamping force; the core-rowing equipment data and the reference core-rowing equipment data are judged, and if the core-rowing equipment data meets the equipment conditions, the core-rowing equipment evaluation index is recorded as 1, otherwise, the core-rowing equipment evaluation index is obtained by performing logarithmic operation on the relative error and standard deviation between the core-rowing equipment data and the corresponding reference core-rowing equipment data, wherein the equipment conditions indicate that the mean value of the equipment vibration frequency is not less than the maximum vibration frequency, or the mean value of the equipment temperature is not less than the maximum equipment temperature, or the mean value of the equipment noise is not less than the maximum equipment noise, or the mean value of the clamp clamping force is not within the reference interval of the clamp clamping force, or the mean value of the casting displacement deviation is less than the reference casting displacement deviation.

[0017] Furthermore, the equipment evaluation result includes normal core row equipment and abnormal core row equipment; the normal core row equipment indicates that the core row equipment evaluation index is less than the equipment evaluation threshold; the abnormal core row equipment indicates that the core row equipment evaluation index is not less than the equipment evaluation threshold.

[0018] Furthermore, the specific process of judging whether to adopt a corresponding adjustment strategy based on the trial row results and the equipment evaluation results is as follows: if the equipment evaluation result is that the core row equipment is abnormal, the operation of the core row equipment is stopped immediately and a voice warning is issued to inform the preset staff that the core row equipment is abnormal and requires maintenance, otherwise the trial row result is judged: if the trial row result of the same preset trial row cycle is that the core row parameters are normal, no adjustment strategy is adopted and the core row stage is entered; if the trial row result of the same preset trial row cycle is that the core row parameters are abnormal, the core row parameters will continue to be adjusted in the next preset core row cycle.

[0019] An automated core arrangement control system provided in an embodiment of the present application comprises an automated core arrangement preparation module, a core arrangement quality assessment module, a core arrangement equipment assessment module, a trial arrangement stage judgment module and a core arrangement automatic adjustment module; wherein the automated core arrangement preparation module is used to obtain automated core arrangement zoning results and core arrangement process division results divided according to the core arrangement process, the automated core arrangement zoning results comprise core arrangement zone one, core arrangement zone two and core arrangement zone three, the core arrangement process division results comprise a trial arrangement stage and a core arrangement stage; the core arrangement quality assessment module is used to collect core arrangement detection data of a preset core arrangement cycle in real time through core arrangement detection sensors in the core arrangement zone three, compare the core arrangement quality influence index obtained based on the core arrangement detection data with the core arrangement quality assessment interval obtained from a preset database to obtain a trial arrangement result, and judge whether to enter the core arrangement stage based on the obtained trial arrangement result, the core arrangement quality influence index is used to judge whether the core arrangement parameter setting can meet the core arrangement quality requirements, and the trial arrangement result comprises a core arrangement parameter that is normal and a core arrangement parameter that is abnormal Normal; the core row equipment evaluation module is used to adjust the core row parameters before entering the core row stage and collect the core row equipment data of the next preset trial row cycle through the core row detection sensor in the second core row zone, and derive the core row equipment evaluation index based on the core row equipment data and the reference core row equipment data obtained from the preset database, and the core row equipment evaluation index is used to quantify the impact of equipment on the core row result; the trial row stage judgment module is used to obtain the core row quality influence index of the next preset trial row cycle and obtain the corresponding trial row result. If the trial row result is that the core row parameters are normal, the core row stage is entered, otherwise the core row equipment evaluation index is compared with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result, and the equipment evaluation result includes normal core row equipment and abnormal core row equipment; the core row automatic adjustment module is used to judge whether to adopt a corresponding adjustment strategy based on the trial row result and the equipment evaluation result. If the corresponding adjustment strategy is not adopted, the core row parameters of the next preset trial row cycle will continue to be adjusted until the core row stage is entered.

[0020] A casting method using an automatic core arrangement control method as described above is provided in an embodiment of the present application, and is characterized in that it includes the following steps: step one, preparing a sand mold according to the design requirements of the casting by means of an automatic sand mold manufacturing device; step two, placing the pre-prepared core in the sand mold by means of an automatic core loading device; step three, automatically closing the upper and lower boxes of the sand mold; step four, automatically injecting nitrogen-containing gray cast iron raw material into the sand mold cavity and simulating the flow of molten metal and the changes in the temperature field and stress field of the molten metal during the solidification process by means of Anycasting simulation software, and comprehensively optimizing the design of the casting system and the casting temperature, casting time, cooling temperature and cooling time; step five, automatically arranging the cores of the cooled casting by means of an automatic core arrangement control method; and step six, cleaning the casting that has passed through the three core arrangement zones.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The core arrangement quality influence index obtained by the core arrangement detection data is compared with the core arrangement quality evaluation interval to obtain the trial arrangement result and judge whether to enter the core arrangement stage accordingly; when the core arrangement stage has not been entered, the core arrangement parameters are adjusted and the core arrangement equipment evaluation index is obtained through the core arrangement equipment data and the reference core arrangement equipment data; at the same time, the trial arrangement result of the next preset trial arrangement cycle is obtained to judge whether to enter the core arrangement stage, so as to more accurately evaluate the quality of automated core arrangement, thereby improving the core arrangement efficiency in the automatic core arrangement control process, and effectively solving the problem of low core cleaning quality in the automatic core arrangement control process in the prior art.

[0023] 2. By numbering the preset core arrangement cycles in the core arrangement stage, and obtaining a first average value based on the first detection data in the core arrangement detection data, and obtaining a second average value based on the second detection data in the core arrangement detection data, and then processing the first average value and the second average value to obtain the core arrangement quality influence index, the core arrangement quality can be analyzed more accurately, thereby achieving more accurate feedback on the core arrangement quality.

[0024] 3. Number the preset trial core-rowing cycles, obtain the reference core-rowing equipment data from the preset database, and then judge the core-rowing equipment data and the reference core-rowing equipment data. If the core-rowing equipment data meets the equipment conditions, the core-rowing equipment evaluation index is recorded as 1. Otherwise, the core-rowing equipment evaluation index is obtained by logarithmic operation based on the relative error and standard deviation between the core-rowing equipment data and the corresponding reference core-rowing equipment data, thereby more objectively evaluating the impact of the core-rowing equipment on the core-rowing quality, and then realizing the detection of whether the abnormality of the core-rowing equipment leads to the decline in core quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1A flowchart of an automated core arrangement control method provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of changes in the core arrangement quality influence index provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiment of the present application solves the problem of low core cleaning quality in the automatic core arrangement control process in the prior art by providing an automatic core arrangement control method, system and casting method, by numbering the preset core arrangement cycles in the core arrangement stage, and obtaining a first average value based on the first detection data in the core arrangement detection data, and obtaining a second average value based on the second detection data in the core arrangement detection data, and then obtaining a core arrangement quality influence index by processing the first average value and the second average value, and then comparing the results with the core arrangement quality evaluation interval to obtain a trial arrangement result, and judging whether to enter the core arrangement stage based on the obtained trial arrangement result, adjusting the core arrangement parameters when the core arrangement stage has not been entered, and obtaining reference core arrangement equipment data from a preset database by numbering the preset trial arrangement cycles, and then comparing the core arrangement equipment data and the core arrangement quality evaluation interval to obtain a trial arrangement result, and then judging whether to enter the core arrangement stage based on the obtained trial arrangement result, and then judging whether to enter the core arrangement stage by adjusting the core arrangement parameters when the core arrangement stage has not been entered, and then obtaining reference core arrangement equipment data from a preset database, and then comparing the reference core arrangement equipment data and the reference core arrangement equipment data ... Refer to the core arrangement equipment data for judgment. If the core arrangement equipment data meets the equipment conditions, the core arrangement equipment evaluation index is recorded as 1. Otherwise, the core arrangement equipment evaluation index is obtained based on the relative error and standard deviation between the core arrangement equipment data and the corresponding reference core arrangement equipment data. At the same time, the core arrangement quality influence index of the next preset trial arrangement cycle is obtained and the corresponding trial arrangement result is obtained. If the trial arrangement result is that the core arrangement parameters are normal, the core arrangement stage is entered. Otherwise, the core arrangement equipment evaluation index is compared with the equipment evaluation threshold to obtain the equipment evaluation result. Then, based on the trial arrangement result and the equipment evaluation result, it is judged whether to adopt the corresponding adjustment strategy. If no corresponding adjustment strategy is adopted, the core arrangement parameters of the next preset trial arrangement cycle are continuously adjusted until the core arrangement stage is entered, thereby improving the core arrangement efficiency during automatic core arrangement control.

[0028] The technical solution in the embodiment of the present application is to solve the problem of low core cleaning quality in the above-mentioned automatic core arrangement control process, and the overall idea is as follows:

[0029] The core arrangement quality influence index obtained by the core arrangement detection data is compared with the core arrangement quality evaluation interval to obtain the trial arrangement result and judge whether to enter the core arrangement stage accordingly; when the core arrangement stage has not been entered, the core arrangement parameters are adjusted and the core arrangement equipment evaluation index is obtained by comparing the core arrangement equipment data with the reference core arrangement equipment data; at the same time, the trial arrangement result of the next preset trial arrangement cycle is obtained to judge whether to enter the core arrangement stage, thereby achieving the effect of improving the core arrangement efficiency in the automatic core arrangement control process.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, it is a flow chart of an automatic core arrangement control method provided in an embodiment of the present application, the method comprising the following steps: automatic core arrangement preparation: obtaining automatic core arrangement zoning results and core arrangement process zoning results divided according to the core arrangement process, the automatic core arrangement zoning results include core arrangement zone one, core arrangement zone two and core arrangement zone three, the core arrangement process zoning results include a trial arrangement stage and a core arrangement stage, the trial arrangement stage represents the process of adjusting and determining the core arrangement mode according to the detection feedback results of the core arrangement zone three, the core arrangement stage represents the process of normal core arrangement after determining the core arrangement mode within the current preset time period; core arrangement quality evaluation: core arrangement detection data of a preset core arrangement cycle are collected in real time through the core arrangement detection sensor in the core arrangement zone three, the core arrangement quality influence index obtained based on the core arrangement detection data is compared with the core arrangement quality evaluation interval obtained from the preset database to obtain a trial arrangement result, and whether to enter the core arrangement stage is determined based on the obtained trial arrangement result, the core arrangement quality influence index is used to judge whether the core arrangement parameter setting can meet the core arrangement quality requirements, and the trial arrangement result The results include normal core arrangement parameters and abnormal core arrangement parameters; core arrangement equipment evaluation: before entering the core arrangement stage, the core arrangement parameters are adjusted and the core arrangement equipment data of the next preset trial arrangement cycle is collected through the core arrangement detection sensor in the core arrangement zone 2, and the core arrangement equipment evaluation index is obtained based on the core arrangement equipment data and the reference core arrangement equipment data obtained from the preset database. The core arrangement equipment evaluation index is used to quantify the impact of equipment on the core arrangement results; trial arrangement stage judgment: obtain the core arrangement quality influence index of the next preset trial arrangement cycle and obtain the corresponding trial arrangement result. If the trial arrangement result is that the core arrangement parameters are normal, the core arrangement stage is entered, otherwise the core arrangement equipment evaluation index is compared with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result. The equipment evaluation result includes normal core arrangement equipment and abnormal core arrangement equipment; automatic core arrangement adjustment: based on the trial arrangement results and the equipment evaluation results, it is judged whether to adopt the corresponding adjustment strategy. If the corresponding adjustment strategy is not adopted, the core arrangement parameters of the next preset trial arrangement cycle will continue to be adjusted until the core arrangement stage is entered.

[0032] In this embodiment, the automated core arrangement is divided into regions according to the automated core arrangement process, and the automated core arrangement process is divided according to different purposes of the automated core arrangement process.

[0033] The core detection sensors in the core row zone 3 include laser sensors, ultrasonic sensors, contact roughness meters, visual sensors and eddy current sensors. The core detection sensors in the core row zone 2 include vibration sensors, force sensors, laser displacement sensors, infrared temperature sensors and sound level meters.

[0034] It should be understood that the preset trial core arrangement cycle is usually shorter than the preset core arrangement cycle, and the preset trial core arrangement cycle is continuous with the preset core arrangement cycle; the above-mentioned automated core arrangement method that performs dynamic adjustment based on the core arrangement quality feedback results not only improves the core arrangement efficiency, but also realizes the improvement of the intelligence level of automated core arrangement control.

[0035] Specifically, the automatic core arrangement zoning results are divided by preset staff into automatic core arrangement execution areas according to the automatic core arrangement process; core arrangement area 1 represents the area where the core arrangement materials are tested, core arrangement area 2 represents the area where the corresponding core arrangement mode is automatically selected for the core arrangement process based on the test results of core arrangement area 1, and core arrangement area 3 represents the area where the castings are tested and feedback is given after the core arrangement is completed.

[0036] The core removal detection data includes first detection data and second detection data. The first detection data includes the number of deformed castings (detecting the shape of the castings through visual sensors and counting the number of deformed castings), the number of castings with unqualified strength (detecting the strength defects inside the casting material through ultrasonic sensors and counting the corresponding number) and the number of cracked castings (detecting surface cracks through eddy current sensors using the principle of electromagnetic induction and counting the corresponding number). The second detection data includes the number of rough castings (detecting the roughness of the casting surface through a contact roughness meter and counting the corresponding number), the number of castings with core residues (detecting whether there are core residues in the internal gaps of the castings through ultrasonic sensors and counting the corresponding number) and the number of castings with pores (detecting whether there are core residues in the internal gaps of the castings through ultrasonic sensors and counting the corresponding number).

[0037] It should be understood that the core removal modes generally include vibration core removal mode, air jet core removal mode, and high-pressure water jet core removal mode. In addition, they may also include chemical core removal mode, mechanical impact core removal mode, and ultrasonic core removal mode.

[0038] The core-removing equipment data includes the average value of the equipment vibration frequency, the average value of the fixture clamping force, and the casting displacement deviation. The noise of the core-removing equipment is measured and the average value is calculated to obtain the average value of the equipment noise in the preset trial removal cycle.

[0039] Furthermore, the specific process of obtaining the core arrangement quality influence index is as follows: number the preset core arrangement cycles in the core arrangement stage; obtain a first average value based on the first detection data in the core arrangement detection data, and obtain a second average value based on the second detection data in the core arrangement detection data; obtain the core arrangement quality influence index by processing the first average value and the second average value, and the numerical expression of the core arrangement quality influence index is as follows:

[0040] ;

[0041] Where t represents the number of the preset core arrangement cycle, , Indicates the total number of preset core removal cycles. represents the amount of casting deformation in the tth preset core removal cycle, Indicates the number of unqualified casting strength in the tth preset core removal cycle, represents the number of cracked castings in the tth preset core removal cycle, represents the number of rough castings in the tth preset core removal cycle, Indicates the number of core-residual castings in the tth preset core removal cycle, represents the number of castings with pores in the tth preset core removal cycle, It represents the core-discharging quality influence index of the t-th preset core-discharging cycle, and e represents a natural constant.

[0042] In this embodiment, the algorithm combines the first test data and the second test data for comprehensive analysis to obtain the core row quality influence index, wherein the first test data is positively correlated with the core row quality influence index, when the number of casting deformations, the number of castings with unqualified strength and the number of cracked castings increase, the core row quality influence index also increases accordingly, and the analysis of the first test data and the core row quality influence index reflects the impact of the core row quality due to the inability of the casting to withstand the force of the corresponding core row mode due to the set core row parameters.

[0043] The second test data is negatively correlated with the core removal quality influence index. When the number of rough castings, the number of castings with core residues and the number of castings with pores increase, the core removal quality influence index decreases accordingly. The analysis of the second test data and the core removal quality influence index reflects the influence of insufficient core removal mode strength due to the set core removal parameters on the core removal quality.

[0044] It should be understood that, in the same preset test row cycle, the first test data and the second test data influence each other and are negatively correlated; by analyzing the core row quality influence index, the possible factors leading to low core row quality can be obtained, so as to make timely dynamic adjustments to improve the core row quality.

[0045] Specifically, Figure 2 As shown, it is a schematic diagram of the change of the core row quality influence index provided in the embodiment of the present application. When analyzing one core row detection data, the other core row detection data are assumed to be 0. It can be seen intuitively from the figure that as the number of casting deformations, the number of castings with unqualified strength and the number of cracked castings increase, the curve in the figure shows an upward trend, and the core row quality influence index increases accordingly; and as the number of rough castings, the number of core residual castings and the number of castings containing pores increase, the curve in the figure shows a downward trend, and the core row quality influence index decreases accordingly; through Figure 2It can be seen that when the core row quality influence index is larger, the possibility that the core row parameter setting exceeds the core row force range that the casting core row can withstand is greater; when the core row quality influence index is smaller, the possibility that the core row parameter setting is less than the core row force range that the casting core row can withstand is greater. In this way, the specific factors leading to the reduction of core row quality can be analyzed and corresponding measures can be taken to improve the core row quality. At the same time, the core row efficiency is also improved and the damage rate of castings and cores is reduced.

[0046] Furthermore, the core arrangement quality influence index obtained based on the core arrangement detection data is compared with the core arrangement quality assessment interval obtained from the preset database to obtain a trial arrangement result, and the specific process of judging whether to enter the core arrangement stage based on the obtained trial arrangement result is as follows: the core arrangement quality influence index obtained from the core arrangement detection data is compared with the core arrangement quality assessment interval obtained from the preset database: if the core arrangement quality influence index is within the core arrangement quality assessment interval, the trial arrangement result is recorded as the core arrangement parameters are normal and the core arrangement stage is entered; if the core arrangement quality influence index is not within the core arrangement quality assessment interval, the trial arrangement result is recorded as the core arrangement parameters are abnormal and the core arrangement parameters are adjusted according to preset rules in the next preset trial arrangement cycle of the trial arrangement stage of the core arrangement zone 2.

[0047] In this embodiment, by automatically evaluating the core arrangement quality and dynamically adjusting the core arrangement parameters, the control accuracy of the core arrangement quality and the intelligence level of the production process are improved, human intervention is reduced, and production consistency and efficiency are improved.

[0048] Specifically, the core arrangement quality assessment interval is obtained from a preset database. In a specific embodiment, the minimum first average value and the minimum second average value that meet the requirements in the core arrangement process are obtained according to the specific core arrangement quality requirements. The minimum first average value represents the average value of the sum of the maximum values ​​of the number of casting deformations, the number of unqualified casting strengths, and the number of cracked castings specified according to the core arrangement quality requirements. The minimum second average value represents the average value of the sum of the maximum values ​​of the number of rough castings, the number of core-residual castings, and the number of castings containing pores specified according to the core arrangement quality requirements. The minimum first average value and the minimum second average value are respectively substituted into the numerical expression of the core arrangement quality influence index to obtain the maximum value and the minimum value of the core arrangement quality assessment interval. The range corresponding to the maximum value and the minimum value of the core arrangement quality assessment interval is the core arrangement quality assessment interval. The core arrangement quality requirements specify the maximum value of each core arrangement detection data, i.e., the number of casting deformations, the number of unqualified casting strengths, the number of cracked castings, the number of rough castings, the number of core-residual castings, and the number of castings containing pores, according to the actual core arrangement situation.

[0049] It should be understood that the specific steps for adjusting the core row parameters according to preset rules in the next preset trial row cycle of the trial row stage in the core rowing zone 2 are as follows: if the trial row result is that the core row parameters are exceeded, then the core row parameters of the next preset trial row cycle are the product of the difference between the preset reduction ratio and the value 1 and the core row parameters of the current preset trial row cycle, and the preset reduction ratio is set by the preset staff according to the properties of the actual core row material; if the trial row result is that the core row parameters are insufficient, then the core row parameters of the next preset trial row cycle are the product of the sum of the preset increase ratio and the value 1 and the core row parameters of the current preset trial row cycle, and the preset increase ratio is set by the preset staff according to the properties of the actual core row material; core row parameter abnormalities include two situations: core row parameters exceeded and core row parameters insufficient.

[0050] The core arrangement parameters are adjusted in real time based on the test results to ensure the accuracy of the core arrangement parameters for the next cycle, thereby improving the operating accuracy of the equipment and product quality. This feedback mechanism helps to continuously optimize the core arrangement process. And according to the properties of the core arrangement material, the preset staff can set a preset increase or decrease ratio to ensure flexible response to the characteristics of different materials and improve the adaptability and reliability of the system.

[0051] Specifically, the preset increase ratio and the preset decrease ratio represent the unique increase or decrease ratio for each different core arrangement material and the corresponding different core arrangement modes. The average value of the ratio of the latter core arrangement parameter to the previous core arrangement parameter in the historical core arrangement parameter data set for each different combination represents the preset increase ratio or the preset decrease ratio.

[0052] Furthermore, the specific acquisition process of the core-rowing equipment evaluation index is as follows: the preset trial row cycles are numbered, and reference core-rowing equipment data are obtained from a preset database, the reference core-rowing equipment data including the maximum vibration frequency, the maximum equipment temperature, the maximum equipment noise, the reference interval of the clamp clamping force and the reference casting displacement deviation, the clamp clamping force reference interval being the range corresponding to the minimum clamping force and the maximum clamping force; the core-rowing equipment data and the reference core-rowing equipment data are judged, if the core-rowing equipment data meets the equipment conditions, the core-rowing equipment evaluation index is recorded as 1, otherwise the core-rowing equipment evaluation index is obtained by performing logarithmic operation based on the relative error and standard deviation between the core-rowing equipment data and the corresponding reference core-rowing equipment data, the equipment condition indicates that the mean value of the equipment vibration frequency is not less than the maximum vibration frequency, or the mean value of the equipment temperature is not less than the maximum equipment temperature, or the mean value of the equipment noise is not less than the maximum equipment noise, or the mean value of the clamp clamping force is not within the reference interval of the clamp clamping force, or the mean value of the casting displacement deviation is less than the reference casting displacement deviation;

[0053] The numerical expression of the core arrangement equipment evaluation index is as follows:

[0054] ;

[0055] In the formula, d represents the number of the preset trial cycle, , Indicates the total number of preset trial cycles. Indicates the mean value of the equipment vibration frequency in the dth preset test cycle, represents the average temperature of the equipment in the dth preset test cycle, represents the mean value of equipment noise in the dth preset trial cycle, represents the mean value of the clamping force of the dth preset trial cycle, It represents the mean value of the displacement deviation of the casting in the dth preset trial cycle, Indicates the maximum vibration frequency, Indicates the maximum device temperature, Indicates the maximum equipment noise, Indicates the minimum clamping force, Indicates the maximum clamping force, Indicates the displacement deviation of the reference casting, It represents the core arrangement equipment evaluation index of the dth preset test cycle, Represents an irrational number.

[0056] In this embodiment, the algorithm combines the average value of equipment vibration frequency, the average value of fixture clamping force, the average value of casting displacement deviation, the average value of equipment temperature and the average value of equipment noise with the corresponding reference core-discharging equipment data for comprehensive analysis to obtain the core-discharging equipment evaluation parameters, wherein the average value of equipment vibration frequency, the average value of fixture clamping force, the average value of equipment temperature and the average value of equipment noise are all negatively correlated with the core-discharging equipment evaluation index, and the absolute value of the difference between the average value of casting displacement deviation and the reference casting displacement deviation is positively correlated with the core-discharging equipment evaluation index. Assuming that the maximum vibration frequency is 100 Hz, the maximum equipment temperature is 200 degrees Fahrenheit, the maximum equipment noise is 80 decibels, the reference interval of fixture clamping force is [10,150] and the reference casting displacement deviation is 5 mm, the data change table of the core-discharging equipment evaluation index is specifically shown in Table 1:

[0057] Table 1 Data changes of core arrangement equipment evaluation index

[0058]

[0059] It can be seen from Table 1 that with the increase of the mean value of equipment vibration frequency, the mean value of fixture clamping force, the mean value of equipment temperature and the mean value of equipment noise, the evaluation index of core removal equipment also increases. For example, when the core removal equipment data of the preset trial cycle No. 4 and 5 increases, the growth difference of the mean value of casting displacement deviation is smaller than the growth difference of the mean value of equipment vibration frequency, the mean value of fixture clamping force, the mean value of equipment temperature and the mean value of equipment noise. Then, with the increase of core removal equipment data, the evaluation index of core removal equipment increases from 0.548 of the preset trial cycle No. 5 to 0.718 of the preset trial cycle No. 4. It can be seen that although the mean value of equipment vibration frequency, the mean value of fixture clamping force, the mean value of equipment temperature and the mean value of equipment noise cannot be used to evaluate the core removal equipment evaluation index. The change in the core-rowing equipment evaluation parameters can be unilaterally judged, but when the change trends of the mean value of the equipment vibration frequency, the mean value of the fixture clamping force, the mean value of the equipment temperature and the mean value of the equipment noise are the same, the change trend of the mean value of the casting displacement deviation has a relatively smaller impact on the core-rowing equipment evaluation index. Therefore, when analyzing the core-rowing equipment evaluation index, each core-rowing equipment data cannot be ignored, but the impact on the core-rowing equipment evaluation index is different, and the smaller the core-rowing equipment evaluation index is, the smaller the possibility of abnormal condition of the surface core-rowing equipment, and the higher the operating efficiency of the core-rowing equipment. Therefore, by evaluating and analyzing the operating status of the core-rowing equipment through the method provided in this embodiment, a more comprehensive and objective equipment evaluation result can be obtained.

[0060] Specifically, the reference core removal equipment data includes the maximum vibration frequency, the maximum equipment temperature, the maximum equipment noise, the reference interval of the clamp clamping force, and the reference casting displacement deviation, all of which are obtained from a preset database. In a specific embodiment, the maximum vibration frequency, the maximum equipment temperature, the maximum equipment noise, the reference interval of the clamp clamping force, and the reference casting displacement deviation can be obtained by referring to the technical manual provided by the equipment manufacturer. For example, the technical manual of the automatic core removal equipment of the automation equipment manufacturer Tünkers gives the maximum vibration frequency of 60 Hz, the maximum equipment temperature of 80 degrees Celsius, and the maximum equipment noise of 90 decibels. The reference interval of the clamp clamping force varies depending on the type of clamp. For example, the reference interval of the clamp clamping force of a pneumatic clamp is usually , the reference casting displacement deviation is usually 0.5 mm.

[0061] Furthermore, the equipment evaluation results include whether the core row equipment is normal or abnormal; if the core row equipment evaluation index is less than the equipment evaluation threshold, it indicates that the core row equipment is normal; if the core row equipment evaluation index is not less than the equipment evaluation threshold, it indicates that the core row equipment is abnormal.

[0062] In this embodiment, the equipment evaluation threshold is obtained from a preset database, the core row equipment data corresponding to the core row equipment anomaly in the historical data is substituted into the numerical expression of the core row equipment evaluation index to obtain the corresponding data set, and the data in the data set is averaged to obtain the data set average, which is then the equipment evaluation threshold. The above-mentioned clear judgment criteria provide clear equipment status information, which improves the accuracy and consistency of the equipment status evaluation, and ensures real-time monitoring and timely processing of the equipment status to avoid greater cost losses.

[0063] Furthermore, the specific process of judging whether to adopt a corresponding adjustment strategy based on the trial row results and the equipment evaluation results is as follows: if the equipment evaluation result is that the core row equipment is abnormal, the operation of the core row equipment is stopped immediately and a voice warning is issued to inform the preset staff that the core row equipment is abnormal and requires maintenance, otherwise the trial row result is judged: if the trial row result of the same preset trial row cycle is that the core row parameters are normal, no adjustment strategy is adopted and the core row stage is entered; if the trial row result of the same preset trial row cycle is that the core row parameters are abnormal, the core row parameters will continue to be adjusted in the next preset core row cycle.

[0064] In this embodiment, by judging the test results and equipment status, the corresponding adjustment or stop operation is automatically performed to reduce human intervention and ensure that the core arrangement equipment and core arrangement parameters are kept in the best state; at the same time, the safety, accuracy and continuity of the core arrangement process are ensured, and the intelligence of the core arrangement process and the fault response speed are improved.

[0065] The embodiment of the present application provides an automated core arrangement control system, including an automated core arrangement preparation module, a core arrangement quality assessment module, a core arrangement equipment assessment module, a trial arrangement phase judgment module, and a core arrangement automatic adjustment module; wherein the automated core arrangement preparation module obtains automated core arrangement zoning results and core arrangement process zoning results divided according to the core arrangement process, the automated core arrangement zoning results include core arrangement zone one, core arrangement zone two, and core arrangement zone three, the core arrangement process zoning results include a trial arrangement phase and a core arrangement phase, the trial arrangement phase represents a process of adjusting and determining a core arrangement mode according to the detection feedback results of the core arrangement zone three, the core arrangement phase represents a process of normal core arrangement after determining the core arrangement mode within the current preset time period; the core arrangement quality assessment module is used to collect core arrangement detection data of a preset core arrangement cycle in real time through a core arrangement detection sensor in the core arrangement zone three, compare the core arrangement quality influence index obtained based on the core arrangement detection data with the core arrangement quality assessment interval obtained from a preset database to obtain a trial arrangement result, and judge whether to enter the core arrangement phase based on the obtained trial arrangement result, and the core arrangement quality influence index is used to judge whether the core arrangement parameter setting can be The core row quality requirements can be met, and the trial row results include normal core row parameters and abnormal core row parameters; the core row equipment evaluation module is used to adjust the core row parameters before entering the core row stage and collect the core row equipment data of the next preset trial row cycle through the core row detection sensor in the core row zone 2, and derive the core row equipment evaluation index based on the core row equipment data and the reference core row equipment data obtained from the preset database. The core row equipment evaluation index is used to quantify the impact of equipment on the core row results; the trial row stage judgment module is used to obtain the core row quality influence index of the next preset trial row cycle and obtain the corresponding trial row result. If the trial row result is that the core row parameters are normal, the core row stage is entered, otherwise the core row equipment evaluation index is compared with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result, and the equipment evaluation result includes normal core row equipment and abnormal core row equipment; the core row automatic adjustment module is used to judge whether to adopt corresponding adjustment strategies based on the trial row results and the equipment evaluation results. If the corresponding adjustment strategies are not adopted, the core row parameters of the next preset trial row cycle will continue to be adjusted until the core row stage is entered.

[0066] In this embodiment, the system integrates multiple modules to achieve full-process automated management from preparation, testing, evaluation to automatic adjustment, reducing human intervention, improving operational efficiency, and reducing the risks and errors of human participation. At the same time, through the feedback mechanism of the trial arrangement stage judgment module and the core arrangement automatic adjustment module; through automated and intelligent management processes, efficient core arrangement control, accurate quality monitoring and equipment status evaluation can be achieved, reducing resource waste, and improving production stability and product quality.

[0067] The present application provides a casting method with an automatic core arrangement control method, which comprises the following steps: step one, preparing a sand mold according to the design requirements of the casting by means of an automatic sand mold manufacturing device; step two, placing the pre-prepared core in the sand mold by means of an automatic core loading device; step three, automatically closing the upper and lower boxes of the sand mold; step four, automatically injecting nitrogen-containing gray cast iron raw material into the sand mold cavity and simulating the flow of the molten metal and the changes in the temperature field and stress field of the molten metal during the solidification process by means of Anycasting simulation software, and comprehensively optimizing the design of the pouring system and the pouring temperature, pouring time, cooling temperature and cooling time; step five, automatically performing core arrangement on the cooled casting by means of an automatic core arrangement control method; and step six, cleaning the casting passing through the three core arrangement zones.

[0068] In this embodiment, the above-mentioned casting method realizes the automation of the entire process from production preparation to final product processing by combining automated core arrangement control and simulation optimization technology, which greatly improves production efficiency, product quality and resource utilization, while reducing production costs and safety hazards, and provides an efficient and intelligent solution for the foundry industry.

[0069] To summarize, the embodiment of the present application compares the core row quality influence index obtained through the core row detection data with the core row quality evaluation interval to obtain a trial row result and judges whether to enter the core row stage accordingly; when the core row stage has not been entered, the core row parameters are adjusted and the core row equipment evaluation index is obtained through the core row equipment data and the reference core row equipment data; at the same time, the trial row result of the next preset trial row cycle is obtained to judge whether to enter the core row stage, thereby more accurately evaluating the quality of automated core row, thereby improving the core row efficiency in the automatic core row control process, and effectively solving the problem of low core cleaning quality in the automatic core row control process in the prior art.

[0070] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0071] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0074] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0075] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An automatic core arrangement control method, characterized in that: The following steps are involved: Obtaining the automatic core arrangement partitioning result and the core arrangement process partitioning result divided according to the core arrangement process, wherein the automatic core arrangement partitioning result includes a core arrangement zone 1, a core arrangement zone 2 and a core arrangement zone 3, and the core arrangement process partitioning result includes a trial arrangement stage and a core arrangement stage; The core arrangement detection data of the preset core arrangement cycle are collected in real time by the core arrangement detection sensors in the three core arrangement zones, and the core arrangement quality influence index obtained based on the core arrangement detection data is compared with the core arrangement quality evaluation interval obtained from the preset database to obtain the trial arrangement result, and whether to enter the core arrangement stage is judged based on the obtained trial arrangement result. The core arrangement quality influence index is used to judge whether the core arrangement parameter setting can meet the core arrangement quality requirements, and the trial arrangement result includes normal core arrangement parameters and abnormal core arrangement parameters; Before entering the core arrangement stage, the core arrangement parameters are adjusted and the core arrangement equipment data of the next preset trial arrangement cycle is collected through the core arrangement detection sensor in the second core arrangement zone, and the core arrangement equipment evaluation index is obtained based on the core arrangement equipment data and the reference core arrangement equipment data obtained from the preset database. The core arrangement equipment evaluation index is used to quantify the impact of equipment aspects on the core arrangement results; Obtain the core arrangement quality impact index of the next preset test arrangement cycle and obtain the corresponding test arrangement result. If the test arrangement result shows that the core arrangement parameters are normal, enter the core arrangement stage. Otherwise, compare the core arrangement equipment evaluation index with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result, which includes whether the core arrangement equipment is normal or abnormal. Based on the test row results and the equipment evaluation results, determine whether to adopt a corresponding adjustment strategy. If no corresponding adjustment strategy is adopted, continue to adjust the core row parameters of the next preset test row cycle until entering the core row stage; The automatic core arrangement partition result is divided into the automatic core arrangement execution area by the preset staff according to the automatic core arrangement process; The core arrangement area 1 represents an area for testing the core arrangement material, the core arrangement area 2 represents an area for automatically selecting the corresponding core arrangement mode for the core arrangement process according to the test result of the core arrangement area 1, and the core arrangement area 3 represents an area for testing and providing feedback on the casting after the core arrangement is completed; The core arrangement detection data includes first detection data and second detection data, wherein the first detection data includes the number of casting deformations, the number of castings with unqualified strength, and the number of cracked castings, and the second detection data includes the number of rough castings, the number of castings with residual cores, and the number of castings with pores; The core arrangement equipment data includes the average value of equipment vibration frequency, the average value of fixture clamping force, the average value of casting displacement deviation, the average value of equipment temperature and the average value of equipment noise; The specific process of obtaining the core arrangement quality influence index is as follows: Numbering the preset core removal cycles in the core removal stage; A first average value is obtained based on the first detection data in the core row detection data, and a second average value is obtained based on the second detection data in the core row detection data; The core row quality influence index is obtained by processing the first average value and the second average value. The numerical expression of the core row quality influence index is as follows: ； Where t represents the number of the preset core arrangement cycle, , Indicates the total number of preset core removal cycles. represents the amount of casting deformation in the tth preset core removal cycle, Indicates the number of unqualified casting strength in the tth preset core removal cycle, represents the number of cracked castings in the tth preset core removal cycle, represents the number of rough castings in the tth preset core removal cycle, Indicates the number of residual castings in the core of the tth preset core removal cycle, represents the number of castings with pores in the tth preset core removal cycle, represents the core-discharging quality influence index of the t-th preset core-discharging cycle, and e represents a natural constant; The specific process of obtaining the core arrangement equipment evaluation index is as follows: The preset trial core arrangement cycles are numbered, and reference core arrangement equipment data are obtained from a preset database, wherein the reference core arrangement equipment data includes maximum vibration frequency, maximum equipment temperature, maximum equipment noise, a reference interval of clamp clamping force, and a reference casting displacement deviation, wherein the reference interval of clamp clamping force is a range corresponding to a minimum clamping force value and a maximum clamping force value; The core-rowing equipment data and the reference core-rowing equipment data are judged. If the core-rowing equipment data meets the equipment conditions, the core-rowing equipment evaluation index is recorded as 1. Otherwise, the core-rowing equipment evaluation index is obtained by performing logarithmic operation based on the relative error and standard deviation between the core-rowing equipment data and the corresponding reference core-rowing equipment data. The equipment conditions indicate that the mean value of the equipment vibration frequency is not less than the maximum vibration frequency, or the mean value of the equipment temperature is not less than the maximum equipment temperature, or the mean value of the equipment noise is not less than the maximum equipment noise, or the mean value of the fixture clamping force is not within the reference range of the fixture clamping force, or the mean value of the casting displacement deviation is less than the reference casting displacement deviation.

2. An automatic core arrangement control method as claimed in claim 1, characterized in that: The specific process of comparing the core arrangement quality impact index obtained based on the core arrangement detection data with the core arrangement quality assessment interval obtained from the preset database to obtain the trial arrangement result, and judging whether to enter the core arrangement stage based on the obtained trial arrangement result is as follows: Compare the core arrangement quality impact index obtained from the core arrangement inspection data with the core arrangement quality assessment interval obtained from the preset database: If the core-discharging quality impact index is within the core-discharging quality assessment range, the test result is recorded as normal core-discharging parameters and enters the core-discharging stage; If the core arrangement quality influence index is not within the core arrangement quality assessment range, the test arrangement result is recorded as abnormal core arrangement parameters and the core arrangement parameters are adjusted according to preset rules in the next preset test arrangement cycle of the test arrangement stage in the core arrangement zone 2.

3. An automatic core arrangement control method as claimed in claim 2, characterized in that: The specific steps of adjusting the core arrangement parameters according to the preset rules in the next preset test arrangement period in the test arrangement stage of the core arrangement zone 2 are as follows: If the test result is that the core discharging parameter exceeds the limit, the core discharging parameter of the next preset test cycle is the product of the difference between the preset reduction ratio and the value 1 and the core discharging parameter of the current preset test cycle; If the test result is that the core discharging parameters are insufficient, the core discharging parameters of the next preset test cycle are the product of the sum of the preset increase ratio and the value 1 and the core discharging parameters of the current preset test cycle; The core arrangement parameter abnormalities include core arrangement parameter excess and core arrangement parameter deficiency.

4. The automatic core arrangement control method according to claim 1, characterized in that: The equipment evaluation results include normal core removal equipment and abnormal core removal equipment; The core arrangement equipment is normal, which means that the core arrangement equipment evaluation index is less than the equipment evaluation threshold; The core arrangement equipment abnormality indicates that the core arrangement equipment evaluation index is not less than the equipment evaluation threshold.

5. The automatic core arrangement control method according to claim 1, characterized in that: The specific process of judging whether to adopt the corresponding adjustment strategy based on the test results and equipment evaluation results is as follows: If the equipment evaluation result shows that the core removal equipment is abnormal, the operation of the core removal equipment will be stopped immediately and a voice warning will be issued to inform the preset staff that the core removal equipment is abnormal and requires maintenance. Otherwise, the test removal result will be judged as follows: If the result of the test row of the same preset test row cycle is that the core row parameters are normal, no adjustment strategy is adopted and the core row stage is entered; If the test result of the same preset test cycle is that the core arrangement parameters are abnormal, the core arrangement parameters will continue to be adjusted in the next preset core arrangement cycle.

6. A system using the automatic core arrangement control method according to any one of claims 1 to 5, characterized in that: It includes automatic core arrangement preparation module, core arrangement quality assessment module, core arrangement equipment assessment module, trial arrangement stage judgment module and core arrangement automatic adjustment module; The automatic core arrangement preparation module is used to obtain the automatic core arrangement partitioning result and the core arrangement process partitioning result divided according to the core arrangement process, the automatic core arrangement partitioning result includes core arrangement zone 1, core arrangement zone 2 and core arrangement zone 3, and the core arrangement process partitioning result includes a trial arrangement stage and a core arrangement stage; The core arrangement quality assessment module is used to collect core arrangement detection data of a preset core arrangement cycle in real time through core arrangement detection sensors in the three core arrangement zones, compare the core arrangement quality influence index obtained based on the core arrangement detection data with the core arrangement quality assessment interval obtained from a preset database to obtain a trial arrangement result, and judge whether to enter the core arrangement stage based on the obtained trial arrangement result. The core arrangement quality influence index is used to judge whether the core arrangement parameter setting can meet the core arrangement quality requirements, and the trial arrangement result includes normal core arrangement parameters and abnormal core arrangement parameters; The core arrangement equipment evaluation module is used to adjust the core arrangement parameters before entering the core arrangement stage and collect the core arrangement equipment data of the next preset trial arrangement cycle through the core arrangement detection sensor in the core arrangement zone 2, and derive the core arrangement equipment evaluation index based on the core arrangement equipment data and the reference core arrangement equipment data obtained from the preset database. The core arrangement equipment evaluation index is used to quantify the impact of equipment aspects on the core arrangement results; The trial row phase judgment module is used to obtain the core row quality influence index of the next preset trial row cycle and obtain the corresponding trial row result. If the trial row result shows that the core row parameters are normal, the core row phase is entered. Otherwise, the core row equipment evaluation index is compared with the equipment evaluation threshold obtained from the preset database to obtain the equipment evaluation result, and the equipment evaluation result includes whether the core row equipment is normal or abnormal. The core arrangement automatic adjustment module is used to determine whether to adopt a corresponding adjustment strategy based on the trial arrangement results and the equipment evaluation results. If the corresponding adjustment strategy is not adopted, the core arrangement parameters of the next preset trial arrangement cycle will continue to be adjusted until the core arrangement stage is entered.

7. A casting method using an automatic core arrangement control method as claimed in any one of claims 1 to 5, characterized in that: The following steps are involved: Step 1: Prepare sand molds according to casting design requirements through automated sand mold manufacturing equipment; Step 2: Place the prepared core into the sand mold by automatic core loading equipment; Step 3, automatically closing the upper and lower boxes of the sand mold; Step 4, automatically injecting the nitrogen-containing gray cast iron raw material into the sand mold cavity and simulating the flow of the molten metal and the changes in the temperature field and stress field of the molten metal during the solidification process through Anycasting simulation software, and comprehensively optimizing the design of the casting system and the casting temperature, casting time, cooling temperature and cooling time; Step 5, automatically arranging the cores of the cooled casting by an automatic core arranging control method; Step six, cleaning the castings that pass through the three core-discharging zones.

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