Vacuum isothermal forging lubrication spraying system control method, device and system

Abstract

The invention relates to the technical field of forging, and particularly discloses a vacuum isothermal forging lubrication spraying system control method, device and system.The method comprises the steps that spraying equipment performance data, forging process data, forge piece data and lubricant data are collected; initial spraying parameters are obtained according to matching of the forging data and the lubricant data; processing the spraying equipment performance data to obtain a spraying equipment precision evaluation index of each time node, and performing comprehensive analysis to obtain a spraying efficiency evaluation value of each time node; and adjusting spraying parameters according to the plastic deformation capability evaluation index and the spraying efficiency evaluation value of each time node. According to the control method, device and system for the vacuum isothermal forging lubrication spraying system, enterprises can find and solve the problem of low spraying efficiency in time, so that a production plan is rapidly adjusted, the overall production efficiency is improved, stable and uniform coating quality is further ensured, and the appearance quality and durability of products are improved.

Description

Technical Field

[0001] The present invention relates to the field of forging technology, and in particular to a vacuum isothermal forging lubrication spraying system control method, device and system. Background Art

[0002] At present, the vacuum isothermal forging lubrication spray system is a very important part of the forging technology field. With the advancement of technology and the growth of demand, providing more refined vacuum isothermal forging lubrication spray system control methods has become the norm. Efficient and accurate vacuum isothermal forging lubrication spray system control devices are of great significance for optimizing the forging process and improving product quality.

[0003] For example, the invention patent with the announcement number CN104001847B is an automatic cooling and lubrication system for warm forging dies, including a lower die and an upper die, and the automatic cooling and lubrication system includes: a jet mist assembly installed on at least one side opposite to the lower die and the upper die, for spraying high-pressure gas and / or refrigerant, and a gas-liquid mixing valve is connected to the jet mist assembly pipeline; a temperature measuring assembly is fixed on at least one side opposite to the lower die and the upper die, for collecting the temperature of the lower die and / or the upper die; an air supply assembly and a liquid supply assembly are respectively connected to the gas-liquid mixing valve pipeline to provide high-pressure gas and water-based lubricant to the jet mist assembly; a control unit is respectively connected to the temperature measuring assembly, the air supply assembly and the liquid supply assembly by signal, and controls the flow of high-pressure gas and water-based lubricant supplied by the air supply assembly and the liquid supply assembly according to the temperature information fed back by the temperature measuring assembly to adjust the amount of gas sprayed by the jet mist assembly, so that the temperature control of the warm forging die is accurate and the lubricant is sprayed evenly.

[0004] For example, the invention patent with announcement number CN118122935B is a forging device for a fully automatic forging production line for sucker rods, comprising a base, wherein a moving component is arranged on the upper surface of the base, through which the sucker rod forging can be pushed accurately, and the pushing distance can be adjusted accordingly according to demand, so as to ensure that the forging position meets the production demand; the forging height of the sucker rod can be adjusted through the clamping component, so as to keep the workpiece and the inner cavity of the mold flush during forging, and the sucker rod can be flexibly clamped and fixed; and an alarm mechanism is provided at the same time, which sounds an alarm when the sucker rod is tilted, so as to avoid the production of bent sucker rods that are difficult to observe with the naked eye, thereby improving the production quality; the lubricating component can spray lubricant on the inner cavity of the mold during demolding, and the mold can be lubricated without stopping the forging, so that the pressure distribution during forging is uniform, and the mold is easily demolded after pressing, thereby improving the production efficiency.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: the current control method of the vacuum isothermal forging lubrication spraying system pays more attention to the debugging of the spraying equipment, but the control of the spraying parameters is still not precise enough, and the lubrication effect during the forging process is difficult to guarantee. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a vacuum isothermal forging lubrication spraying system control method, device and system, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a vacuum isothermal forging lubrication spray system control method, including: collecting spray equipment performance data, forging process data, forging data and lubricant data during the vacuum isothermal forging process.

[0008] The initial spraying parameters are obtained by matching the forging data and lubricant data.

[0009] The spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node, the forging process data is processed to obtain the plastic deformation capacity evaluation index at each time node, and the spraying efficiency evaluation value at each time node is obtained through comprehensive analysis.

[0010] Adjust the spraying parameters according to the plastic deformation capacity evaluation index and spraying efficiency evaluation value at each time node.

[0011] As a further method, the initial spraying parameters are obtained by matching the forging data and the lubricant data. The specific analysis process is as follows: the forging data includes the forging size and the number of features.

[0012] The lubricant data includes lubricant viscosity and lubricant friction factor.

[0013] The forging size and feature quantity are input into the isothermal forging database to match the corresponding initial spraying amount, and the lubricant viscosity and lubricant friction factor are input into the isothermal forging database to match the corresponding initial spraying speed.

[0014] As a further method, the spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node. The specific processing process is: the spraying equipment performance data includes the spraying pressure, spraying thickness and response speed at each time node.

[0015] The reference standard spraying thickness, allowable deviation spraying thickness and critical response speed are extracted from the isothermal forging database, and the spraying equipment accuracy evaluation index at each time node is obtained through comprehensive analysis.

[0016] As a further method, the forging process data is processed to obtain the plastic deformation capacity evaluation index at each time node. The specific processing process is: the forging process data includes the forging temperature, forging strain value and forging gas pressure at each time node.

[0017] The reference standard forging temperature, allowable deviation forging temperature, reference standard forging strain value, allowable deviation forging strain value, reference standard forging air pressure and allowable deviation forging air pressure are extracted from the isothermal forging database, and the plastic deformation capacity evaluation index at each time node is obtained by comprehensive analysis.

[0018] As a further method, the comprehensive analysis obtains the spraying efficiency evaluation value of each time node. The specific analysis process is: the spraying equipment accuracy evaluation index and the plastic deformation capacity evaluation index of each time node are respectively assigned weights, and the weighted spraying equipment accuracy evaluation index and the plastic deformation capacity evaluation index of each time node are summed up, and the summation result is processed by the sine hyperbolic function to obtain the spraying efficiency evaluation value of each time node, and the spraying efficiency evaluation value is used to quantify the spraying efficiency.

[0019] As a further method, the spraying parameters are adjusted according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node. The specific analysis process is as follows: the spraying parameters include the spraying amount and spraying speed of the lubricant.

[0020] The plastic deformation capacity assessment threshold is extracted from the isothermal forging database, and the plastic deformation capacity assessment index of each time node is compared with the plastic deformation capacity assessment threshold. If the plastic deformation capacity assessment index of a certain time node is greater than or equal to the plastic deformation capacity assessment threshold, no additional operation is performed. If the plastic deformation capacity assessment index of a certain time node is less than the plastic deformation capacity assessment threshold, the plastic deformation capacity assessment index is input into the isothermal forging database to match the corresponding spraying amount compensation value, and the initial spraying amount and the spraying amount compensation value are added to obtain the updated spraying amount.

[0021] As a further method, the spraying parameters are adjusted according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value of each time node, and the spraying efficiency evaluation threshold is extracted from the isothermal forging database, and the spraying efficiency evaluation value of each time node is compared with the spraying efficiency evaluation threshold. If the spraying efficiency evaluation value of a certain time node is greater than or greater than the spraying efficiency evaluation threshold, no additional operation is performed; if the spraying efficiency evaluation value of a certain time node is less than the spraying efficiency evaluation threshold, the spraying efficiency evaluation value is input into the isothermal forging database to match the corresponding spraying speed correction value, and the initial spraying speed and the spraying speed correction value are added to obtain an updated spraying speed.

[0022] As a further method, the spraying efficiency evaluation value at each time node is specifically expressed as: in, represents the spraying efficiency evaluation value at the i-th time node, represents the spraying equipment accuracy evaluation index at the i-th time node, represents the plastic deformation capacity evaluation index at the i-th time node, Indicates the spraying efficiency evaluation influencing factor corresponding to the set spraying equipment accuracy evaluation index, It represents the spraying efficiency evaluation influencing factor corresponding to the set plastic deformation capacity evaluation index, i represents the number of each time node, i=1,2,3,...,m, and m represents the total number of time nodes.

[0023] The second aspect of the present invention provides a vacuum isothermal forging lubrication spraying system control device, comprising: a processor and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; when the processor is running, it calls a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute any one of the methods described above.

[0024] The third aspect of the present invention provides a vacuum isothermal forging lubrication spraying system control system, including: a data acquisition module for collecting spraying equipment performance data, forging process data, forging data and lubricant data during the vacuum isothermal forging process.

[0025] The initial spraying parameter matching module is used to obtain the initial spraying parameters according to the forging data and lubricant data.

[0026] The spraying efficiency analysis module is used to process the spraying equipment performance data to obtain the spraying equipment accuracy evaluation index at each time node, process the forging process data to obtain the plastic deformation capacity evaluation index at each time node, and comprehensively analyze to obtain the spraying efficiency evaluation value at each time node.

[0027] The spraying parameter adjustment module is used to adjust the spraying parameters according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node.

[0028] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a vacuum isothermal forging lubrication spraying system control method, device and system, which helps enterprises to timely discover and solve the problem of low spraying efficiency, so as to quickly adjust the production plan, ensure the stable operation of the production line, improve the overall production efficiency, reduce paint waste and energy consumption, and further ensure the stable and uniform quality of the coating, thereby improving the appearance quality and durability of the product.

[0029] (2) By evaluating the spraying equipment accuracy evaluation index at each time point, the present invention can make necessary adjustments and optimizations to the equipment to improve the spraying accuracy, thereby ensuring the quality of the coating, helping to reduce defects in the spraying process, and significantly improving the overall quality and consistency of the coating. It can also promptly detect and deal with potential faults and problems, thereby improving the stability and reliability of the system.

[0030] (3) The present invention can accurately control the deformation amount during the forging process by evaluating the plastic deformation capacity evaluation index at each time node, ensuring that the forging reaches the expected shape and size, and helping to predict and avoid defects such as cracks and folds that may occur during the forging process, thereby improving the quality of the forgings. At the same time, it can reduce energy consumption and die wear, further improving product quality and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0032] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0033] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0034] Figure 3 It is a schematic diagram of the functional relationship between the spraying efficiency evaluation value at each time node of the present invention and the plastic deformation capacity evaluation index at each time node. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0036] Reference Figure 1As shown, the first aspect of the present invention provides a vacuum isothermal forging lubrication spraying system control method, including: collecting spraying equipment performance data, forging process data, forging data and lubricant data during the vacuum isothermal forging process.

[0037] The initial spraying parameters are obtained by matching the forging data and lubricant data.

[0038] The spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node, the forging process data is processed to obtain the plastic deformation capacity evaluation index at each time node, and the spraying efficiency evaluation value at each time node is obtained through comprehensive analysis.

[0039] Adjust the spraying parameters according to the plastic deformation capacity evaluation index and spraying efficiency evaluation value at each time node.

[0040] Specifically, the initial spraying parameters are obtained by matching the forging data and the lubricant data. The specific analysis process is as follows: the forging data includes the forging size and the number of features.

[0041] The lubricant data includes lubricant viscosity and lubricant friction factor.

[0042] The forging size and feature quantity are input into the isothermal forging database to match the corresponding initial spraying amount, and the lubricant viscosity and lubricant friction factor are input into the isothermal forging database to match the corresponding initial spraying speed.

[0043] In a specific embodiment, the size of the forging can be obtained by a three-coordinate measuring instrument. The characteristic quantity refers to the number of elements of different shapes and sizes on the forging, such as protrusions, grooves and holes, which can be obtained by statistics; the viscosity of the lubricant refers to the ability of the lubricant to resist flow, that is, the ease with which the lubricant flows under specific conditions. Selecting a suitable lubricant viscosity is crucial to ensuring good lubrication during the forging process, and the lubricant viscosity can be obtained by a viscometer; the lubricant friction coefficient refers to the ratio of the friction force generated by two contact surfaces during relative motion to the normal pressure. The size of the lubricant friction coefficient directly affects the friction resistance between the die and the blank, and can be measured by a friction tester.

[0044] It should be understood that in this embodiment, a mapping set of forging size and feature number and corresponding initial spraying amount is constructed through the relationship between the forging size and feature number in the historical data and the initial spraying amount, and the real-time forging size and feature number are input to obtain their corresponding initial spraying amount from the mapping set.

[0045] Furthermore, through the relationship between the lubricant viscosity and the lubricant friction factor in the historical data and the initial spraying speed, a mapping set of the lubricant viscosity and the lubricant friction factor and the corresponding initial spraying speed is constructed, and the real-time lubricant viscosity and the lubricant friction factor are input to obtain their corresponding initial spraying speeds from the mapping set.

[0046] Specifically, the spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node. The specific processing process is: the spraying equipment performance data includes the spraying pressure, spraying thickness and response speed at each time node.

[0047] The reference standard spraying thickness, allowable deviation spraying thickness and critical response speed are extracted from the isothermal forging database, and the spraying equipment accuracy evaluation index at each time node is obtained through comprehensive analysis.

[0048] In a specific embodiment, the spraying pressure refers to the internal pressure generated by the spraying equipment during the operation, which can be measured by a pressure sensor; the spraying thickness refers to the thickness of the coating on the surface of the mold and the blank, which determines the protective effect and durability of the coating, and can be measured by a film thickness meter; the response speed refers to the response time during the spraying process, that is, the time from receiving the spraying instruction to starting spraying, which can be directly obtained through the performance monitoring tool.

[0049] Furthermore, the specific numerical expression of the spraying equipment accuracy evaluation index at each time node is: in, represents the spraying equipment accuracy evaluation index at the i-th time node, represents the spraying pressure at the i-th time node, represents the spraying thickness at the i-th time node, Indicates reference to standard spray thickness. Indicates the allowable deviation of spraying thickness. represents the response speed of the i-th time node, represents the critical response speed, Indicates the influence factor of spray equipment accuracy assessment corresponding to the set spray pressure, Indicates the influence factor of spraying equipment accuracy assessment corresponding to the set spraying thickness, It represents the influencing factor of spraying equipment accuracy assessment corresponding to the set response speed, i represents the number of each time node, i=1,2,3,...,m, and m represents the total number of time nodes.

[0050] The algorithm of this embodiment combines the spraying pressure, spraying thickness and response speed at each time node, and comprehensively analyzes to obtain the spraying equipment accuracy evaluation index at each time node. During the spraying process, the size of the spraying pressure directly affects the thickness of the coating. Generally speaking, the greater the spraying pressure, the more coating is sprayed onto the surface of the mold and the blank per unit time, and the thicker the coating formed; thinner coatings are usually easier to spray quickly, so the response speed requirements of the spraying equipment are relatively low, while thicker coatings require longer spraying time, which puts higher requirements on the response speed of the spraying equipment; at the same time, fast-responding spraying equipment can control the spraying pressure more accurately. When the spraying pressure needs to be adjusted to adapt to different process conditions, the fast-responding equipment can quickly reach the required pressure value, thereby ensuring the stability and consistency of the coating quality. Comprehensive analysis can obtain a more comprehensive spraying equipment accuracy evaluation index.

[0051] Table 1 Example of spraying equipment accuracy evaluation index data at each time point As shown in Table 1, the spraying equipment accuracy evaluation index at each time node is jointly determined by the spraying pressure, spraying thickness and response speed. In a specific embodiment, m=1, the reference standard spraying thickness is 100μm, the allowable deviation spraying thickness is 20μm, the critical response speed is 1s, the spraying equipment accuracy evaluation influence factor corresponding to the set spraying pressure is 0.3, the spraying equipment accuracy evaluation influence factor corresponding to the set spraying thickness is 0.4, and the spraying equipment accuracy evaluation influence factor corresponding to the set response speed is 0.3. This formula takes into account three key factors, namely the spraying pressure, spraying thickness and response speed at each time node, which can reduce the problem of unstable coating quality caused by spraying pressure fluctuations, help shorten the production cycle, improve production efficiency, and reduce the rework and repair time caused by too thin coating and the over-processing and waste caused by too thick coating, which helps to reduce the energy consumption of the equipment during parameter adjustment and waiting, thereby improving the stability and reliability of the system and reducing the failure rate in the production process. By standardizing the spraying pressure, spraying thickness and response speed at each time node, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved. By weighting the influence of the spraying pressure, spraying thickness and response speed at each time node, their relative importance in the evaluation index can be reflected. The weights of different factors can be adjusted according to different needs, making the model very adaptable. It is not difficult to see that the smaller the spraying pressure deviation or spraying thickness deviation or response speed, the larger the spraying equipment accuracy evaluation index. By evaluating the spraying equipment accuracy evaluation index at each time node, necessary adjustments and optimizations can be made to the equipment to improve the spraying accuracy, thereby ensuring the quality of the coating, helping to reduce defects in the spraying process, and significantly improving the overall quality and consistency of the coating. High-precision spraying equipment can complete the spraying task more quickly, thereby shortening the production cycle, and can also promptly detect and handle potential faults and problems, thereby improving the stability and reliability of the system.

[0052] In a specific embodiment, the value range of the spraying equipment accuracy assessment influencing factor corresponding to the spraying pressure, spraying thickness and response speed is between 0 and 1, which represents the numerical value of the influence of the spraying pressure, spraying thickness and response speed on the spraying equipment accuracy assessment index. Each spraying equipment accuracy assessment influencing factor can be obtained from the isothermal forging database. By adjusting the value of the influencing factor, the influence of different factors on the final spraying equipment accuracy assessment index can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, the spraying pressure, spraying thickness and response speed form a mapping set with the weight factors corresponding to the spraying pressure, spraying thickness and response speed preset in the isothermal forging database, and the real-time spraying pressure, spraying thickness and response speed are brought into the mapping set to obtain the weight factors corresponding to the spraying pressure, spraying thickness and response speed. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0053] Specifically, the forging process data are processed to obtain the plastic deformation capacity evaluation index at each time node, and the specific processing process is: the forging process data includes the forging temperature, forging strain value and forging gas pressure at each time node.

[0054] The reference standard forging temperature, allowable deviation forging temperature, reference standard forging strain value, allowable deviation forging strain value, reference standard forging air pressure and allowable deviation forging air pressure are extracted from the isothermal forging database, and the plastic deformation capacity evaluation index at each time node is obtained by comprehensive analysis.

[0055] In a specific embodiment, forging temperature refers to the temperature environment of the metal blank during the forging process. Appropriate forging temperature can reduce energy consumption and die wear during the forging process and improve production efficiency, and can be monitored by a temperature sensor; strain value refers to the measurement of the degree of shape and size change of the forging due to external force. By monitoring the strain condition, precise control of the strain value of the forging can be achieved to meet different product quality requirements. Strain gauges can be attached to the surface of the forging to sense the deformation of the forging during the forging process through the strain gauges, and then converted into electrical signals for output; forging gas pressure refers to the gas pressure applied during the vacuum isothermal forging process to maintain a certain pressure environment in the forging chamber. Appropriate forging gas pressure helps to maintain a stable gas environment in the forging chamber, reduce metal oxidation and friction resistance, thereby improving the surface quality and finish of the forging, and can be measured by a pressure gauge.

[0056] Furthermore, the specific numerical expression of the plastic deformation capacity evaluation index at each time node is: in, represents the plastic deformation capacity evaluation index at the i-th time node, represents the forging temperature at the i-th time node, Indicates reference to standard forging temperature, represents the allowable deviation forging temperature, e represents the natural constant, represents the forging strain value at the i-th time node, Indicates the strain value of the reference standard forging, Indicates the allowable deviation forging strain value, represents the forging pressure at the i-th time node, Indicates reference to standard forging pressure. Indicates the allowable deviation of forging pressure, Indicates the impact factor of plastic deformation capacity evaluation corresponding to the set forging temperature, Indicates the impact factor of plastic deformation capacity assessment corresponding to the set forging strain value, It represents the influencing factor of plastic deformation capacity evaluation corresponding to the set forging gas pressure, i represents the number of each time node, i=1,2,3,...,m, and m represents the total number of time nodes.

[0057] The algorithm of this embodiment combines the forging temperature, forging strain value and forging gas pressure at each time node, and comprehensively analyzes to obtain the plastic deformation capacity evaluation index at each time node. The non-uniformity of forging temperature may lead to non-uniform strain distribution inside the forging. For example, during the forging process, if the temperature of certain areas is higher, the metal in these areas will be more likely to deform, resulting in a larger strain value. Although the forging gas pressure itself does not directly determine the deformation behavior of the metal, it can indirectly affect the deformation behavior of the metal by affecting the temperature distribution and gas environment during the forging process. For example, at a higher gas pressure, if the gas heat transfer efficiency is high, the temperature of the metal blank may be more uniform, which is conducive to obtaining a more uniform strain distribution. In the actual forging process, the forging strain value and the forging gas pressure are mutually constrained. On the one hand, in order to obtain a larger strain value, it may be necessary to increase the forging temperature and reduce the forging gas pressure to reduce oxidation and friction resistance. On the other hand, too low forging gas pressure may affect the gas heat transfer efficiency and metal flow behavior during the forging process, thereby limiting the increase in strain value. A more comprehensive plastic deformation capacity evaluation index can be obtained through comprehensive analysis.

[0058] It should be explained that three key factors, namely the forging temperature, forging strain value and forging pressure at each time node, are considered in this embodiment, which helps to ensure that the fluidity and deformation resistance of the metal during the forging process are in the best state, thereby improving the forming quality and dimensional accuracy of the forging, ensuring that the metal obtains sufficient plastic deformation during the forging process, thereby optimizing the microstructure and mechanical properties of the material, and ensuring that the metal is uniformly deformed during the forging process, avoiding cracks and defects, and further achieving higher production efficiency and better product quality. By standardizing the forging temperature, forging strain value and forging pressure at each time node, it is ensured that they are compared at the same magnitude, which improves the fairness and comparability of the evaluation. By weighting the influence of the forging temperature, forging strain value and forging pressure at each time node, it reflects their relative importance in the evaluation index, and the weights of different factors can be adjusted according to different needs, so that the formula has good adaptability. It is not difficult to see that when the forging temperature deviation or the forging strain value deviation or the forging pressure deviation is smaller, the plastic deformation capacity evaluation index is larger. By evaluating the plastic deformation capacity evaluation index at each time node, the deformation amount during the forging process can be accurately controlled to ensure that the forgings reach the expected shape and size, which helps to predict and avoid defects such as cracks and folds that may occur during the forging process, thereby improving the quality of the forgings. At the same time, the forging temperature can be optimized and the forging air pressure can be adjusted to reduce energy consumption and die wear, reduce scrap rate, improve the utilization rate of raw materials, and further improve product quality and production efficiency.

[0059] In a specific embodiment, the value range of the plastic deformation capacity evaluation influencing factor corresponding to the forging temperature, forging strain value and forging gas pressure is between 0 and 1, which represents the numerical value of the influence degree of the forging temperature, forging strain value and forging gas pressure on the plastic deformation capacity evaluation index. Each plastic deformation capacity evaluation influencing factor can be obtained from the isothermal forging database. By adjusting the value of the influencing factor, the influence degree of different factors on the final plastic deformation capacity evaluation index can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, the forging temperature, forging strain value and forging gas pressure form a mapping set with the weight factors corresponding to the forging temperature, forging strain value and forging gas pressure preset in the isothermal forging database, and the real-time forging temperature, forging strain value and forging gas pressure are brought into the mapping set to obtain the weight factors corresponding to the forging temperature, forging strain value and forging gas pressure. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0060] Specifically, a comprehensive analysis is performed to obtain the spraying efficiency evaluation value of each time node. The specific analysis process is: weights are assigned to the spraying equipment accuracy evaluation index and the plastic deformation capacity evaluation index of each time node respectively, and the weighted spraying equipment accuracy evaluation index and the plastic deformation capacity evaluation index of each time node are summed up, and the summation result is processed by a sine hyperbolic function to obtain the spraying efficiency evaluation value of each time node, and the spraying efficiency evaluation value is used to quantify the spraying efficiency.

[0061] Furthermore, the specific numerical expression of the spraying efficiency evaluation value at each time node is: in, represents the spraying efficiency evaluation value at the i-th time node, represents the spraying equipment accuracy evaluation index at the i-th time node, represents the plastic deformation capacity evaluation index at the i-th time node, Indicates the spraying efficiency evaluation influencing factor corresponding to the set spraying equipment accuracy evaluation index, It represents the spraying efficiency evaluation influencing factor corresponding to the set plastic deformation capacity evaluation index, i represents the number of each time node, i=1,2,3,...,m, and m represents the total number of time nodes.

[0062] like Figure 3 As shown, in a specific embodiment, =0.3, =0.4. =0.1, the functional relationship between the spraying efficiency evaluation value at each time node and the plastic deformation capacity evaluation index at each time node is shown in curve a; when =0.5, the functional relationship between the spraying efficiency evaluation value at each time node and the plastic deformation capacity evaluation index at each time node is shown in curve b; when =1, the functional relationship between the spraying efficiency evaluation value at each time node and the plastic deformation capacity evaluation index at each time node is shown in curve c.

[0063] The algorithm of this embodiment combines the spraying equipment accuracy evaluation index and the plastic deformation capacity evaluation index at each time node, and comprehensively analyzes to obtain the spraying efficiency evaluation value at each time node. The accuracy of the spraying equipment determines the uniformity of the coating on the surface of the forging. If the coating thickness is uneven or there are obvious spraying defects, such as bubbles, peeling, etc., it will affect the plastic deformation capacity of the forging in the subsequent forging process. For example, too thick a coating may cause uneven heat transfer, thereby affecting the fluidity and deformation resistance of the metal; the plastic deformation capacity of the metal during the forging process has high requirements on the accuracy of the spraying equipment, especially for those materials that are extremely sensitive to deformation speed, such as superplastic metals. Slight changes in coating thickness or uneven coating may lead to significant deformation differences. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth spraying efficiency evaluation value.

[0064] It should be explained that two key factors are considered in this embodiment, namely the spray equipment precision evaluation index and the plastic deformation capacity evaluation index at each time node, which can timely discover and correct unstable factors in the process, such as uneven coating thickness, abnormal deformation resistance, etc., thereby reducing process fluctuations and improving the stability of the forging process. It can also more accurately adjust the temperature, pressure, time and other parameters in the forging process, so that the process parameters are more matched with the deformation characteristics of the metal material and the precision requirements of the spray equipment, thereby optimizing the entire forging process, helping to ensure that each batch of forgings obtains consistent quality and performance under the same conditions, and meet customer expectations and requirements. By weighting the influence of the spray equipment precision evaluation index and the plastic deformation capacity evaluation index at each time node, it reflects their relative importance in the evaluation index, and the weights of different factors can be adjusted according to different needs, so that the formula has good adaptability. It is not difficult to see that the larger the spray equipment precision evaluation index or the plastic deformation capacity evaluation index, the larger the spray efficiency evaluation value. By evaluating the spraying efficiency evaluation value at each time node, it is helpful for enterprises to timely discover and solve the problem of low spraying efficiency, so as to quickly adjust the production plan and ensure the stable operation of the production line, thereby improving the overall production efficiency, reducing paint waste and energy consumption, improving resource utilization efficiency, and further ensuring the stable and uniform quality of the coating, thereby improving the appearance quality and durability of the product.

[0065] In a specific embodiment, the value range of the spraying efficiency evaluation influencing factor corresponding to the spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index is between 0 and 1, which represents the numerical value of the influence of the spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index on the spraying efficiency evaluation value. Each spraying efficiency evaluation influencing factor can be obtained from the isothermal forging database. By adjusting the value of the influencing factor, the influence of different factors on the final spraying efficiency evaluation value can be flexibly adjusted. The corresponding relationship can be a pre-set mapping relationship. For example, the spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index are formed with the weight factors corresponding to the spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index preset in the isothermal forging database to form a mapping set, and the real-time spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index are brought into the mapping set to obtain the weight factors corresponding to the spraying equipment accuracy evaluation index and the plastic deformation ability evaluation index. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship.

[0066] In a specific embodiment, the spraying parameters are adjusted according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node. The specific analysis process is as follows: the spraying parameters include the spraying amount and spraying speed of the lubricant.

[0067] The plastic deformation capacity assessment threshold is extracted from the isothermal forging database, and the plastic deformation capacity assessment index of each time node is compared with the plastic deformation capacity assessment threshold. If the plastic deformation capacity assessment index of a certain time node is greater than or equal to the plastic deformation capacity assessment threshold, no additional operation is performed. If the plastic deformation capacity assessment index of a certain time node is less than the plastic deformation capacity assessment threshold, the plastic deformation capacity assessment index is input into the isothermal forging database to match the corresponding spraying amount compensation value, and the initial spraying amount and the spraying amount compensation value are added to obtain the updated spraying amount.

[0068] Specifically, the spraying parameters are adjusted according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value of each time node, and the method also includes: extracting a spraying efficiency evaluation threshold from the isothermal forging database, comparing the spraying efficiency evaluation value of each time node with the spraying efficiency evaluation threshold, if the spraying efficiency evaluation value of a certain time node is greater than or greater than the spraying efficiency evaluation threshold, no additional operation is performed, if the spraying efficiency evaluation value of a certain time node is less than the spraying efficiency evaluation threshold, then the spraying efficiency evaluation value is input into the isothermal forging database to match the corresponding spraying speed correction value, and the initial spraying speed and the spraying speed correction value are added to obtain an updated spraying speed.

[0069] Reference Figure 2As shown, the second aspect of the present invention provides a vacuum isothermal forging lubrication spraying system control system, including: a data acquisition module for collecting spraying equipment performance data, forging process data, forging data and lubricant data during the vacuum isothermal forging process.

[0070] The initial spraying parameter matching module is used to obtain the initial spraying parameters according to the forging data and lubricant data.

[0071] The spraying efficiency analysis module is used to process the spraying equipment performance data to obtain the spraying equipment accuracy evaluation index at each time node, process the forging process data to obtain the plastic deformation capacity evaluation index at each time node, and comprehensively analyze to obtain the spraying efficiency evaluation value at each time node.

[0072] The spraying parameter adjustment module is used to adjust the spraying parameters according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node.

[0073] The isothermal forging database is used to store isothermal forging related data, including: initial spraying amount, initial spraying speed, reference standard spraying thickness, allowable deviation spraying thickness, critical response speed, reference standard forging temperature, allowable deviation forging temperature, reference standard forging strain value, allowable deviation forging strain value, reference standard forging air pressure, allowable deviation forging air pressure, spraying efficiency evaluation influencing factor corresponding to the set spraying equipment accuracy evaluation index, spraying efficiency evaluation influencing factor corresponding to the set plastic deformation ability evaluation index, plastic deformation ability evaluation threshold and spraying efficiency evaluation threshold and other indicators.

[0074] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A vacuum isothermal forging lubrication spraying system control method, characterized in that: include: Collect spray equipment performance data, forging process data, forging data and lubricant data during vacuum isothermal forging; The initial spraying parameters are obtained by matching the forging data and lubricant data; The spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node, the forging process data is processed to obtain the plastic deformation capacity evaluation index at each time node, and the spraying efficiency evaluation value at each time node is obtained through comprehensive analysis; Adjust the spraying parameters according to the plastic deformation capacity evaluation index and spraying efficiency evaluation value at each time node.

2. The vacuum isothermal forging lubrication spraying system control method according to claim 1, characterized in that: The initial spraying parameters are obtained by matching the forging data and the lubricant data. The specific analysis process is as follows: The forging data includes forging size and feature quantity; The lubricant data includes lubricant viscosity and lubricant friction factor; The forging size and feature quantity are input into the isothermal forging database to match the corresponding initial spraying amount, and the lubricant viscosity and lubricant friction factor are input into the isothermal forging database to match the corresponding initial spraying speed.

3. The vacuum isothermal forging lubrication spraying system control method according to claim 1, characterized in that: The spraying equipment performance data is processed to obtain the spraying equipment accuracy evaluation index at each time node, and the specific processing process is: The spray equipment performance data includes spray pressure, spray thickness and response speed at each time point; The reference standard spraying thickness, allowable deviation spraying thickness and critical response speed are extracted from the isothermal forging database, and the spraying equipment accuracy evaluation index at each time node is obtained through comprehensive analysis.

4. The vacuum isothermal forging lubrication spraying system control method according to claim 3 is characterized in that: The forging process data is processed to obtain the plastic deformation capacity evaluation index at each time node, and the specific processing process is as follows: The forging process data includes forging temperature, forging strain value and forging gas pressure at each time node; The reference standard forging temperature, allowable deviation forging temperature, reference standard forging strain value, allowable deviation forging strain value, reference standard forging air pressure and allowable deviation forging air pressure are extracted from the isothermal forging database, and the plastic deformation capacity evaluation index at each time node is obtained by comprehensive analysis.

5. The vacuum isothermal forging lubrication spraying system control method according to claim 4, characterized in that: The comprehensive analysis obtains the spraying efficiency evaluation value at each time node, and the specific analysis process is as follows: The spraying equipment accuracy evaluation index and plastic deformation capacity evaluation index of each time node are assigned weights respectively, and the weighted spraying equipment accuracy evaluation index and plastic deformation capacity evaluation index of each time node are summed. At the same time, the summation result is processed by sine hyperbolic function to obtain the spraying efficiency evaluation value of each time node, and the spraying efficiency evaluation value is used to quantify the spraying efficiency.

6. The vacuum isothermal forging lubrication spraying system control method according to claim 4, characterized in that: The spraying parameters are adjusted according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node. The specific analysis process is as follows: The spraying parameters include the spraying amount and spraying speed of the lubricant; The plastic deformation capacity assessment threshold is extracted from the isothermal forging database, and the plastic deformation capacity assessment index of each time node is compared with the plastic deformation capacity assessment threshold. If the plastic deformation capacity assessment index of a certain time node is greater than or equal to the plastic deformation capacity assessment threshold, no additional operation is performed. If the plastic deformation capacity assessment index of a certain time node is less than the plastic deformation capacity assessment threshold, the plastic deformation capacity assessment index is input into the isothermal forging database to match the corresponding spraying amount compensation value, and the initial spraying amount and the spraying amount compensation value are added to obtain the updated spraying amount.

7. The vacuum isothermal forging lubrication spraying system control method according to claim 4, characterized in that: The method of adjusting the spraying parameters according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node also includes: The spraying efficiency evaluation threshold is extracted from the isothermal forging database, and the spraying efficiency evaluation value of each time node is compared with the spraying efficiency evaluation threshold. If the spraying efficiency evaluation value of a certain time node is greater than or greater than the spraying efficiency evaluation threshold, no additional operation is performed. If the spraying efficiency evaluation value of a certain time node is less than the spraying efficiency evaluation threshold, the spraying efficiency evaluation value is input into the isothermal forging database to match the corresponding spraying speed correction value, and the initial spraying speed and the spraying speed correction value are added to obtain the updated spraying speed.

8. The vacuum isothermal forging lubrication spraying system control method according to claim 5, characterized in that: The specific numerical expression of the spraying efficiency evaluation value at each time node is: in, represents the spraying efficiency evaluation value at the i-th time node, represents the spraying equipment accuracy evaluation index at the i-th time node, represents the plastic deformation capacity evaluation index at the i-th time node, Indicates the spraying efficiency evaluation influencing factor corresponding to the set spraying equipment accuracy evaluation index, It represents the spraying efficiency evaluation influencing factor corresponding to the set plastic deformation capacity evaluation index, i represents the number of each time node, i=1,2,3,...,m, and m represents the total number of time nodes.

9. Vacuum isothermal forging lubrication spraying system control device, characterized by: include: Processors and memory and network interfaces connected to the processors; The network interface is connected to a non-volatile memory in the server; When running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the method described in any one of claims 1 to 8.

10. A system using the vacuum isothermal forging lubrication spraying system control method according to any one of claims 1 to 8, characterized in that: include: Data acquisition module, used to collect spray equipment performance data, forging process data, forging data and lubricant data during vacuum isothermal forging; An initial spraying parameter matching module is used to obtain initial spraying parameters according to forging data and lubricant data; The spraying efficiency analysis module is used to process the spraying equipment performance data to obtain the spraying equipment accuracy evaluation index at each time node, process the forging process data to obtain the plastic deformation capacity evaluation index at each time node, and comprehensively analyze to obtain the spraying efficiency evaluation value at each time node; The spraying parameter adjustment module is used to adjust the spraying parameters according to the plastic deformation capacity evaluation index and the spraying efficiency evaluation value at each time node.

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