Titanium plate cold rolling method and system based on annealing process optimization

Abstract

The present invention relates to the technical field of titanium plate annealing, and a titanium plate cold rolling method and system based on annealing process optimization, comprising: annealing a titanium plate to be annealed according to an annealing process parameter combination to obtain a titanium plate to be cold rolled, cold rolling the titanium plate to be cold rolled, measuring the average rolling pressure and the critical deformation rate, calculating the rolling deformation slope of the rolling deformation diagram, calculating the current rolling score value according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, judging whether the annealing process parameter combination has been extracted, if not, using the current combination extraction interval value to update the initial combination extraction interval value, and returning to extract the annealing process parameter combination in sequence, if the extraction is completed, identifying the optimal process parameter combination corresponding to the optimal rolling score value, and performing titanium plate annealing and titanium plate cold rolling according to the optimal process parameter combination. The present invention can improve the cold rolling processing efficiency and processing accuracy of titanium plates.

Description

Technical Field

[0001] The invention relates to the technical field of titanium plate annealing, and in particular to a titanium plate cold rolling method and system based on annealing process optimization. Background Art

[0002] As a lightweight, high-strength, corrosion-resistant metal material, titanium is widely used in aerospace, medical, chemical and other fields. Annealing process is a key factor affecting the microstructure of cold-rolled titanium plate. For example, a suitable intermediate annealing temperature can obtain a more uniform recrystallized structure, making the residual stress of the titanium plate smaller and the orientation distribution more random.

[0003] The production cost of titanium plates is high, and the plate shape is difficult to control. During the cold rolling process, due to its poor thermal conductivity, high deformation resistance during cold rolling, and low plasticity, the cold rolling process of titanium plates is complicated, and the traditional processing mode has low efficiency and processing accuracy. Summary of the invention

[0004] The present invention provides a titanium plate cold rolling method and system based on annealing process optimization, the main purpose of which is to improve the cold rolling processing efficiency and processing accuracy of the titanium plate.

[0005] To achieve the above object, the present invention provides a titanium plate cold rolling method based on annealing process optimization, comprising:

[0006] Obtaining an annealing process parameter combination sequence and an initial combination extraction interval value;

[0007] Extracting annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and performing annealing treatment on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing treatment and is waiting for cold rolling;

[0008] The titanium plate to be cold-rolled is cold-rolled according to a preset initial cold-rolled thickness and a target cold-rolled thickness, and an average rolling pressure and a critical deformation rate are measured, a rolling deformation diagram is constructed according to the average rolling pressure, and a rolling deformation slope of the rolling deformation diagram is calculated, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure;

[0009] According to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows:

[0010] ,

[0011] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate;

[0012] Determining whether the annealing process parameter combination has been extracted;

[0013] If the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value;

[0014] Using the current combination extraction interval value to update the initial combination extraction interval value, and returning to the above step of sequentially extracting annealing process parameter combinations in the annealing process parameter combination sequence according to the initial combination extraction interval value;

[0015] If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain a current rolling score value set, and the best rolling score value is extracted from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set;

[0016] The optimal process parameter combination corresponding to the optimal rolling score value is identified, and the titanium plate is annealed and cold rolled according to the optimal process parameter combination.

[0017] Optionally, obtaining the annealing process parameter combination sequence and the initial combination extraction interval value includes:

[0018] Acquire an annealing process index set, extract annealing process indexes in sequence from the annealing process index set, acquire an index process parameter sequence of the annealing process indexes, and obtain an index process parameter sequence set;

[0019] Arrange and combine the indicator process parameter sequence set to obtain an annealing process parameter combination sequence;

[0020] Identify the combination ordinal of the annealing process parameter combination sequence, and calculate the initial combination extraction interval value according to the combination ordinal and a pre-constructed interval value formula, wherein the interval value formula is as follows:

[0021] ,

[0022] in, Indicates the initial combination extraction interval value, represents the initial adjustment coefficient, represents the initial exponent base, Indicates the combination ordinal number.

[0023] Optionally, the cold rolling of the titanium plate to be cold rolled is performed according to a preset initial cold rolling thickness and a target cold rolling thickness, and an average rolling pressure and a critical deformation rate are measured, including:

[0024] According to the initial cold rolling thickness and the target cold rolling thickness, a cold rolling pressure test is performed on the titanium plate to be cold rolled by using a pre-constructed twenty-high rolling mill to obtain an average rolling pressure;

[0025] Performing a cold rolling critical test on the titanium plate to be cold rolled according to the average rolling pressure, acquiring the real-time cold rolling thickness of the titanium plate to be cold rolled in real time, and drawing a real-time thickness curve according to the real-time cold rolling thickness;

[0026] Determining whether the cold rolling critical test is completed;

[0027] If the cold rolling critical test is completed, the critical cold rolling thickness is extracted from the real-time thickness curve according to a preset unit time, where the unit time is 1 second;

[0028] According to the critical cold rolling thickness and the target cold rolling thickness, the critical deformation rate is calculated using the following formula:

[0029] ,

[0030] in, represents the critical deformation rate, Indicates the target cold-rolled thickness, Indicates critical cold rolling thickness.

[0031] Optionally, constructing a rolling deformation diagram according to the average rolling pressure comprises:

[0032] According to the initial cold rolling thickness and the target cold rolling thickness, the reduction ratio is calculated using the following formula:

[0033] ,

[0034] in, represents the reduction rate, Indicates the initial cold-rolled thickness;

[0035] Determining the rolling deformation point in a pre-constructed rolling deformation coordinate system according to the average rolling pressure and the reduction rate;

[0036] The coordinate origin of the rolling deformation coordinate system is extracted, and a rolling deformation diagram is constructed according to the coordinate origin and the rolling deformation points.

[0037] Optionally, obtaining the adjacent rolling score value of the annealing process parameter combination includes:

[0038] Identifying an adjacent process parameter combination of the annealing process parameter combination in a pre-constructed current interval combination table;

[0039] The historical rolling score values ​​of the adjacent process parameter combination are identified in the current interval combination table, and the historical rolling score values ​​are used as the adjacent rolling score values.

[0040] Optionally, the calculating the current combined extraction interval value according to the upcoming rolling score value and the current rolling score value comprises:

[0041] According to the upcoming rolling score value and the current rolling score value, the real-time combined extraction interval value is calculated using the following formula:

[0042] ,

[0043] in, Indicates the real-time combination extraction interval value, represents the score adjustment coefficient, Represents the base of the rating index, Indicates the approaching rolling score value;

[0044] The real-time combined extraction interval value is rounded to obtain a current combined extraction interval value.

[0045] Optionally, after calculating the current combined extraction interval value according to the upcoming rolling score value and the current rolling score value, the method further includes:

[0046] Acquire an initial interval combination table, wherein the first column of the initial interval combination table represents an annealing process parameter combination element column, the second column represents a rolling score element column, and the third column represents a combination extraction interval value element column;

[0047] The annealing process parameter combinations are sequentially filled into the annealing process parameter combination element column, the current rolling score values ​​are sequentially filled into the rolling score element column, and the current combination extraction interval values ​​are sequentially filled into the combination extraction interval value element column to obtain a current interval combination table.

[0048] Optionally, the updating the initial combination extraction interval value by using the current combination extraction interval value includes:

[0049] Determine whether the current combined extraction interval value is 0;

[0050] If the current combination extraction interval value is not 0, the initial combination extraction interval value is set as the current combination extraction interval value;

[0051] If the current combination extraction interval value is 0, converting the real-time combination extraction interval value into a simplified fraction, identifying the simplified denominator and simplified numerator of the simplified fraction, and obtaining the variable parameter interval of the annealing process parameter combination;

[0052] Performing equidistant interpolation on the variable parameter intervals according to the simplified denominator to obtain an equidistant interpolation set;

[0053] identifying variable interpolation parameters in the isometric interpolation set based on the simplified numerator;

[0054] The variable interpolation parameter is used to update the annealing process parameter combination sequence, and the initial combination extraction interval value is set to 0.

[0055] Optionally, the updating of the annealing process parameter combination sequence by using the variable interpolation parameter includes:

[0056] Identifying current variable parameters of the annealing process parameter combination;

[0057] The current variable parameters are updated using the variable interpolation parameters.

[0058] To achieve the above object, the present invention also provides a titanium plate cold rolling system based on annealing process optimization, comprising:

[0059] The annealing processing module is used to obtain an annealing process parameter combination sequence and an initial combination extraction interval value; extract annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and perform annealing processing on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing processing and is waiting for cold rolling;

[0060] The current rolling score value calculation module is used to cold roll the titanium plate to be cold rolled according to the preset initial cold rolling thickness and the target cold rolling thickness, and measure the average rolling pressure and the critical deformation rate, construct a rolling deformation diagram according to the average rolling pressure, and calculate the rolling deformation slope of the rolling deformation diagram, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure; according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows:

[0061] ,

[0062] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate;

[0063] The annealing process parameter combination cyclic extraction module is used to determine whether the annealing process parameter combination has been extracted; if the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value; the initial combination extraction interval value is updated using the current combination extraction interval value, and the step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value is returned to the above-mentioned step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value;

[0064] The titanium plate annealing and titanium plate cold rolling module is used to summarize all current rolling score values ​​to obtain a current rolling score value set if the annealing process parameter combination is extracted, and extract the best rolling score value from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set; identify the best process parameter combination corresponding to the best rolling score value, and perform titanium plate annealing and titanium plate cold rolling according to the best process parameter combination.

[0065] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0066] a memory storing at least one instruction; and

[0067] The processor executes the instructions stored in the memory to implement the above-mentioned titanium plate cold rolling method based on annealing process optimization.

[0068] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned titanium plate cold rolling method based on annealing process optimization.

[0069] In order to solve the problem described in the background technology, the present invention first tests the current rolling score values ​​of different annealing process parameter combinations to obtain the annealing effects of different annealing process parameter combinations. Therefore, it is first necessary to obtain the annealing process parameter combination sequence and the initial combination extraction interval value, and extract the annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and then anneal the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain the titanium plate to be cold-rolled. After the annealing treatment is completed, the titanium plate to be cold-rolled needs to be cold-rolled. In the process of rolling, it is first necessary to determine the initial cold rolling thickness and the target cold rolling thickness, and then the titanium plate to be cold rolled is cold rolled according to the initial cold rolling thickness and the target cold rolling thickness. In the process of cold rolling, it is necessary to measure the average rolling pressure and the critical deformation rate, and construct a rolling deformation diagram according to the average rolling pressure. Since the rolling deformation diagram shows the relationship between the reduction rate and the average rolling pressure during the cold rolling process, the rolling deformation slope of the rolling deformation diagram can be calculated. Finally, according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the pre-constructed rolling scoring formula is used to calculate the current rolling The scoring value is calculated. At this time, the scoring of an annealing process parameter combination is completed. If the annealing process parameter combination has not been extracted, it is necessary to return to continue extracting the annealing process parameters. Since the current rolling scoring value and the adjacent rolling scoring value of the two adjacent annealing process parameter combinations show the annealing effects of the two adjacent annealing process parameter combinations, when the annealing effect decreases, it means that the annealing effect of the annealing process parameters adjacent to the currently extracted annealing process parameter combination is worse. Therefore, the initial combination extraction interval value can be increased. Based on this, it is first necessary to obtain the adjacent rolling scoring value of the annealing process parameter combination. score, calculate the current combination extraction interval value according to the adjacent rolling score value and the current rolling score value, use the current combination extraction interval value to update the initial combination extraction interval value, and finally return to the step of extracting the annealing process parameter combination in sequence. If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain the current rolling score value set, and then the best rolling score value is extracted from the current rolling score value set, and the best process parameter combination corresponding to the best rolling score value is identified. Finally, the titanium plate is annealed and the titanium plate is cold rolled according to the best process parameter combination. Therefore, the present invention can improve the cold rolling processing efficiency and processing accuracy of the titanium plate. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 A schematic flow chart of a titanium plate cold rolling method based on annealing process optimization provided by one embodiment of the present invention;

[0071] Figure 2 A functional module diagram of a titanium plate cold rolling system based on annealing process optimization provided by an embodiment of the present invention;

[0072] Figure 3A schematic structural diagram of an electronic device for implementing the titanium plate cold rolling method based on annealing process optimization provided in one embodiment of the present invention.

[0073] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0074] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0075] The embodiment of the present application provides a titanium plate cold rolling method based on annealing process optimization. The execution subject of the titanium plate cold rolling method based on annealing process optimization includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the titanium plate cold rolling method based on annealing process optimization can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0076] Reference Figure 1 FIG. 1 is a flow chart of a titanium plate cold rolling method based on annealing process optimization provided by an embodiment of the present invention. In this embodiment, the titanium plate cold rolling method based on annealing process optimization includes:

[0077] S1. Obtaining an annealing process parameter combination sequence and an initial combination extraction interval value.

[0078] It can be explained that the annealing process parameter combination sequence refers to a sequence composed of parameter combinations of various annealing process indicators during the annealing process, and the annealing process indicators can be heating, heat preservation and cooling, etc. The parameter combination of the annealing process indicators can be constant temperature heating time 20min, constant temperature heating temperature 720℃, heating heating rate 10℃ / s, heat preservation time 1h, cooling time 2h, cooling rate 15℃ / s, etc.

[0079] Further, the initial combination extraction interval value refers to the initial interval extraction value when extracting the annealing process parameter combination in the annealing process parameter combination sequence. For example, when the initial combination extraction interval value is 1, it means that when extracting the annealing process parameter combination, it is necessary to extract it at intervals of 1 annealing process parameter combination, wherein the initial combination extraction interval value is 1, which indicates the number of annealing process parameter combinations at intervals when extracting the annealing process parameter combination in the pre-constructed annealing process parameter combination sequence. For example, when the annealing process parameter combination sequence (the arrangement order of the annealing process parameters in the annealing process parameter combination is constant temperature heating time, constant temperature heating temperature, heating heating rate, insulation time) is 1, the initial combination extraction interval value is 1, which indicates the number of annealing process parameter combinations at intervals when extracting the annealing process parameter combination in the pre-constructed annealing process parameter combination sequence. When the initial combination extraction interval value is 1, the first and third annealing process parameter combinations can be extracted in sequence, namely, 20min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s and 24min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s.

[0080] In the embodiment of the present invention, the step of obtaining the annealing process parameter combination sequence and the initial combination extraction interval value includes:

[0081] Acquire an annealing process index set, extract annealing process indexes in sequence from the annealing process index set, acquire an index process parameter sequence of the annealing process indexes, and obtain an index process parameter sequence set;

[0082] Arrange and combine the indicator process parameter sequence set to obtain an annealing process parameter combination sequence;

[0083] Identify the combination ordinal of the annealing process parameter combination sequence, and calculate the initial combination extraction interval value according to the combination ordinal and a pre-constructed interval value formula, wherein the interval value formula is as follows:

[0084] ,

[0085] in, Indicates the initial combination extraction interval value, represents the initial adjustment coefficient, represents the initial exponent base, Indicates the combination ordinal number.

[0086] It can be explained that the annealing process indicator set refers to the set of annealing process indicators, and the indicator process parameter sequence refers to the value parameter sequence of the annealing process indicators, which can be set according to the value range and value interval of the corresponding annealing process indicator. For example, when the annealing process indicator is the constant temperature heating time, and its value range is [10min, 30min], and the value interval is 2min, then the indicator process parameter sequence can be: 10min, 12min, 14min, 16min, etc.

[0087] Further, the permutation and combination refers to the permutation and combination of the indicator process parameters in the indicator process parameter sequence set. When the number of the annealing process indicators is 4, the number of process parameters in the first indicator process parameter sequence is 5; the number of process parameters in the second indicator process parameter sequence is 8; the number of process parameters in the third indicator process parameter sequence is 5; the number of process parameters in the fourth indicator process parameter sequence is 4, then the number of permutations and combinations is , that is, the combination ordinal number of the annealing process parameter combination is 800. The combination ordinal number refers to the number of combinations of the annealing process parameter combination sequence. As the combination ordinal number is larger, the number of extractions of the annealing process parameter combination is more, and the experimental workload is greater. Therefore, when the combination ordinal number becomes larger, the initial combination extraction interval value can be appropriately increased to maintain the number of extractions approximately as a constant test value. When the initial exponential base is greater than 1, it indicates that it is an increasing function within the definition domain, which meets the strain requirement that the larger the combination ordinal number, the larger the initial combination extraction interval value. The initial exponential base and the initial adjustment coefficient can be adaptively adjusted according to the constant test value.

[0088] S2. Extracting annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and performing annealing treatment on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold rolled.

[0089] It can be explained that the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing and is waiting to be cold-rolled.

[0090] S3. Cold rolling the titanium plate to be cold rolled according to a preset initial cold rolling thickness and a target cold rolling thickness, and measuring an average rolling pressure and a critical deformation rate, constructing a rolling deformation diagram according to the average rolling pressure, and calculating a rolling deformation slope of the rolling deformation diagram.

[0091] It can be explained that the initial cold-rolled thickness refers to the thickness of the titanium plate to be cold-rolled before cold rolling, and the target cold-rolled thickness refers to the target thickness of the titanium plate to be cold-rolled after cold rolling. The average rolling pressure refers to the maximum average pressure per unit area on the contact area between the roller and the titanium plate to be cold-rolled. The maximum average pressure is generally the rolling pressure per unit contact area when the thickness of the titanium plate to be cold-rolled is rolled to a thickness close to the target cold-rolled thickness. The critical deformation rate refers to the deformation amount of the titanium plate to be cold-rolled per unit time before the rolling is completed. The rolling deformation slope refers to the slope of the rolling deformation diagram.

[0092] Furthermore, the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure.

[0093] In an embodiment of the present invention, the cold rolling of the titanium plate to be cold rolled is performed according to the preset initial cold rolling thickness and the target cold rolling thickness, and the average rolling pressure and the critical deformation rate are measured, including:

[0094] According to the initial cold rolling thickness and the target cold rolling thickness, a cold rolling pressure test is performed on the titanium plate to be cold rolled by using a pre-constructed twenty-high rolling mill to obtain an average rolling pressure;

[0095] Performing a cold rolling critical test on the titanium plate to be cold rolled according to the average rolling pressure, acquiring the real-time cold rolling thickness of the titanium plate to be cold rolled in real time, and drawing a real-time thickness curve according to the real-time cold rolling thickness;

[0096] Determining whether the cold rolling critical test is completed;

[0097] If the cold rolling critical test is completed, the critical cold rolling thickness is extracted from the real-time thickness curve according to a preset unit time, where the unit time is 1 second;

[0098] According to the critical cold rolling thickness and the target cold rolling thickness, the critical deformation rate is calculated using the following formula:

[0099] ,

[0100] in, represents the critical deformation rate, Indicates the target cold-rolled thickness, Indicates critical cold rolling thickness.

[0101] It is understandable that the twenty-roll mill is a high-precision rolling equipment that integrates highly automated control technology and a precise thickness control system. The cold rolling pressure test refers to the process of testing the maximum average pressure of the rollers during the process of rolling the titanium plate to be cold-rolled from the initial cold-rolled thickness to the target cold-rolled thickness. After the maximum average pressure is determined, the titanium plate to be cold-rolled can be single-pass rolled according to the maximum average pressure to complete the cold rolling process. For example: if the maximum average pressure during the cold rolling pressure test is 200MPa, the rolling pressure of the rollers can be fixed to 200MPa, and the titanium plate to be cold-rolled can be rolled at 200MPa until the thickness of the titanium plate to be cold-rolled reaches the target rolling thickness.

[0102] Furthermore, the cold rolling critical test refers to the process of continuously rolling the cold-rolled titanium plate according to the average rolling pressure and monitoring the real-time cold rolling thickness. The critical cold rolling thickness refers to the real-time cold rolling thickness at a unit time before the rolling is completed. For example, if the duration of the cold rolling critical test is 20 minutes, the real-time cold rolling thickness at 19 minutes and 59 seconds is the critical cold rolling thickness.

[0103] In an embodiment of the present invention, the step of constructing a rolling deformation diagram according to the average rolling pressure includes:

[0104] According to the initial cold rolling thickness and the target cold rolling thickness, the reduction ratio is calculated using the following formula:

[0105] ,

[0106] in, represents the reduction rate, Indicates the initial cold-rolled thickness;

[0107] Determining the rolling deformation point in a pre-constructed rolling deformation coordinate system according to the average rolling pressure and the reduction rate;

[0108] The coordinate origin of the rolling deformation coordinate system is extracted, and a rolling deformation diagram is constructed according to the coordinate origin and the rolling deformation points.

[0109] It can be understood that the rolling deformation point refers to a coordinate point whose abscissa is the average rolling pressure and whose ordinate is the reduction rate. The rolling deformation diagram is a line connecting the coordinate origin and the rolling deformation point.

[0110] S4. Calculate the current rolling score value using a pre-constructed rolling score formula according to the average rolling pressure, the rolling deformation slope and the critical deformation rate.

[0111] It can be understood that the current rolling score value refers to the cold rolling score value when the cold-rolled titanium plate is cold rolled according to the annealing process parameter combination. The larger the cold rolling score value, the better the cold rolling effect.

[0112] In detail, the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time is 1 second.

[0113] Furthermore, the rolling scoring formula is as follows:

[0114] ,

[0115] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate.

[0116] It is understandable that the greater the average rolling pressure, the greater the rolling force of the rollers. Therefore, the risk factor and rolling power consumption will also increase. Inverse proportional function greater than 0 Combined with the pressure proportionality coefficient, the relationship between the average rolling pressure and the current rolling score value can be better expressed. The larger the rolling deformation slope, the larger the change in rolling pressure required to increase the unit reduction rate. Therefore, when the rolling slope is smaller, the better the rolling effect and the larger the current rolling score value. When the critical deformation rate is larger, it means that the larger the change in the reduction rate per unit time before the end of rolling, the more difficult it is to accurately control the rolling thickness of the titanium plate to be cold-rolled. Therefore, when the critical deformation rate is larger, the worse the rolling effect and the lower the current rolling score should be. The pressure proportionality coefficient, slope proportionality coefficient and rate proportionality coefficient can be set according to the importance of the average rolling pressure, rolling deformation slope and critical deformation rate.

[0117] S5. Determine whether the annealing process parameter combination has been extracted.

[0118] If the annealing process parameter combination has not been extracted, execute S6 to obtain the adjacent rolling score value of the annealing process parameter combination, and calculate the current combination extraction interval value according to the adjacent rolling score value and the current rolling score value.

[0119] It can be understood that the adjacent rolling score value refers to the historical rolling score value of the previous adjacent annealing process parameter combination in the annealing process parameter combination sequence. The current combination extraction interval value refers to the interval extraction value of the current extracted annealing process parameter combination.

[0120] In the embodiment of the present invention, the step of obtaining the adjacent rolling score value of the annealing process parameter combination includes:

[0121] Identifying an adjacent process parameter combination of the annealing process parameter combination in a pre-constructed current interval combination table;

[0122] The historical rolling score values ​​of the adjacent process parameter combination are identified in the current interval combination table, and the historical rolling score values ​​are used as the adjacent rolling score values.

[0123] It can be understood that the current interval combination table refers to a table recording the association between the annealing process parameter combination and the rolling score value. The adjacent process parameter combination refers to the previous adjacent annealing process parameter combination of the annealing process parameter.

[0124] In the embodiment of the present invention, the current combined extraction interval value is calculated according to the upcoming rolling score value and the current rolling score value, including:

[0125] According to the upcoming rolling score value and the current rolling score value, the real-time combined extraction interval value is calculated using the following formula:

[0126] ,

[0127] in, Indicates the real-time combination extraction interval value, represents the score adjustment coefficient, Represents the base of the rating index, Indicates the approaching rolling score value;

[0128] The real-time combined extraction interval value is rounded to obtain a current combined extraction interval value.

[0129] Furthermore, the base of the scoring index is greater than 0 and less than 1, then is a monotonically decreasing function, that is The larger the value, the smaller the real-time combination extraction interval value. The smaller it is, the larger the real-time combination extraction interval value is. The larger the value, the better the annealing effect of the currently extracted annealing process parameter combination compared with the adjacent process parameter combination. Therefore, the real-time combination extraction interval value can be reduced to obtain a more accurate annealing process parameter combination. Therefore, the exponential function based on the scoring index base combined with the scoring adjustment coefficient can better represent the change of the real-time combination extraction interval value.

[0130] It can be explained that the rounding refers to rounding the real-time combined extraction interval value to the nearest integer.

[0131] In the embodiment of the present invention, after calculating the current combined extraction interval value according to the adjacent rolling score value and the current rolling score value, the method further includes:

[0132] Acquire an initial interval combination table, wherein the first column of the initial interval combination table represents an annealing process parameter combination element column, the second column represents a rolling score element column, and the third column represents a combination extraction interval value element column;

[0133] The annealing process parameter combinations are sequentially filled into the annealing process parameter combination element column, the current rolling score values ​​are sequentially filled into the rolling score element column, and the current combination extraction interval values ​​are sequentially filled into the combination extraction interval value element column to obtain a current interval combination table.

[0134] S7. Use the current combination extraction interval value to update the initial combination extraction interval value.

[0135] In the embodiment of the present invention, the updating of the initial combination extraction interval value by using the current combination extraction interval value includes:

[0136] Determine whether the current combined extraction interval value is 0;

[0137] If the current combination extraction interval value is not 0, the initial combination extraction interval value is set as the current combination extraction interval value;

[0138] If the current combination extraction interval value is 0, converting the real-time combination extraction interval value into a simplified fraction, identifying the simplified denominator and simplified numerator of the simplified fraction, and obtaining the variable parameter interval of the annealing process parameter combination;

[0139] Performing equidistant interpolation on the variable parameter intervals according to the simplified denominator to obtain an equidistant interpolation set;

[0140] identifying variable interpolation parameters in the isometric interpolation set based on the simplified numerator;

[0141] The variable interpolation parameter is used to update the annealing process parameter combination sequence, and the initial combination extraction interval value is set to 0.

[0142] It can be explained that the simplified fraction refers to the simplest fraction converted from the real-time combined extraction interval value. For example, when the real-time combined extraction interval value is 0.2, the simplified fraction is 1 / 5. The simplified denominator refers to the denominator of the simplified fraction, and the simplified numerator refers to the numerator of the simplified fraction. The variable parameter interval refers to the process change parameter interval value of the annealing process parameter combination in the annealing process parameter combination sequence. For example, when the annealing process parameter combination (the arrangement order of the annealing process parameters in the annealing process parameter combination is constant temperature heating time, constant temperature heating temperature, heating heating rate, insulation time, cooling time, cooling rate) is 20min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s, the adjacent process parameter combinations of the annealing process parameter combination are 22min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s; 24min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s; 26min, 720℃, 10℃ / s, 1h, 2h, 15℃ / s, then the variable parameter interval is the constant temperature heating time of 2min. The equidistant interpolation set refers to a set of interpolations performed according to a simplified denominator in the variable parameter interval. For example, when the simplified denominator is 5 and the variable parameter interval is 2 min, 20.4 min, 20.8 min, 21.2 min, and 21.6 min can be interpolated between a constant temperature heating time of 20 min and a constant temperature heating time of 22 min. The equidistant interpolation set is 20.4 min, 20.8 min, 21.2 min, and 21.6 min. When the simplified numerator is 3, the variable interpolation parameter is 21.2 min.

[0143] In an embodiment of the present invention, the step of updating the annealing process parameter combination sequence by using the variable interpolation parameter includes:

[0144] Identifying current variable parameters of the annealing process parameter combination;

[0145] The current variable parameters are updated using the variable interpolation parameters.

[0146] It can be explained that the current variable parameter refers to the changing parameter in the current annealing process parameter combination. For example, when the current variable parameter in the annealing process parameter combination is a constant temperature heating time of 20 min, and the variable interpolation parameter is 21.2 min, the annealing process parameter combination 21.2 min, 720 ° C, 10 ° C / s, 1 h, 2 h, 15 ° C / s can be supplemented after the annealing process parameter combination 20 min, 720 ° C, 10 ° C / s, 1 h, 2 h, 15 ° C / s in the annealing process parameter combination sequence. When the initial combination extraction interval value is set to 0, after extracting 20 min, 720 ° C, 10 ° C / s, 1 h, 2 h, 15 ° C / s, the annealing process parameter combination 21.2 min, 720 ° C, 10 ° C / s, 1 h, 2 h, 15 ° C / s will be extracted.

[0147] Return to the above step of extracting annealing process parameter combinations in sequence in the annealing process parameter combination sequence according to the initial combination extraction interval value.

[0148] If the annealing process parameter combination is extracted, S8 is executed to summarize all current rolling score values ​​to obtain a current rolling score value set, and the best rolling score value is extracted from the current rolling score value set.

[0149] It can be understood that the optimal rolling score value refers to the maximum rolling score value in the current rolling score value set.

[0150] S9, identifying the best process parameter combination corresponding to the best rolling score value, and performing titanium plate annealing and titanium plate cold rolling according to the best process parameter combination.

[0151] Furthermore, after obtaining the optimal process parameter combination, the titanium plate can be cold rolled according to the average rolling pressure corresponding to the optimal process parameter combination.

[0152] In order to solve the problem described in the background technology, the present invention first tests the current rolling score values ​​of different annealing process parameter combinations to obtain the annealing effects of different annealing process parameter combinations. Therefore, it is first necessary to obtain the annealing process parameter combination sequence and the initial combination extraction interval value, and extract the annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and then anneal the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain the titanium plate to be cold-rolled. After the annealing treatment is completed, the titanium plate to be cold-rolled needs to be cold-rolled. In the process of rolling, it is first necessary to determine the initial cold rolling thickness and the target cold rolling thickness, and then the titanium plate to be cold rolled is cold rolled according to the initial cold rolling thickness and the target cold rolling thickness. In the process of cold rolling, it is necessary to measure the average rolling pressure and the critical deformation rate, and construct a rolling deformation diagram according to the average rolling pressure. Since the rolling deformation diagram shows the relationship between the reduction rate and the average rolling pressure during the cold rolling process, the rolling deformation slope of the rolling deformation diagram can be calculated. Finally, according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the pre-constructed rolling scoring formula is used to calculate the current rolling The scoring value is calculated. At this time, the scoring of an annealing process parameter combination is completed. If the annealing process parameter combination has not been extracted, it is necessary to return to continue extracting the annealing process parameters. Since the current rolling scoring value and the adjacent rolling scoring value of the two adjacent annealing process parameter combinations show the annealing effects of the two adjacent annealing process parameter combinations, when the annealing effect decreases, it means that the annealing effect of the annealing process parameters adjacent to the currently extracted annealing process parameter combination is worse. Therefore, the initial combination extraction interval value can be increased. Based on this, it is first necessary to obtain the adjacent rolling scoring value of the annealing process parameter combination. score, calculate the current combination extraction interval value according to the adjacent rolling score value and the current rolling score value, use the current combination extraction interval value to update the initial combination extraction interval value, and finally return to the step of extracting the annealing process parameter combination in sequence. If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain the current rolling score value set, and then the best rolling score value is extracted from the current rolling score value set, and the best process parameter combination corresponding to the best rolling score value is identified. Finally, the titanium plate is annealed and the titanium plate is cold rolled according to the best process parameter combination. Therefore, the present invention can improve the cold rolling processing efficiency and processing accuracy of the titanium plate.

[0153] like Figure 2 , which is a functional module diagram of a titanium plate cold rolling system based on annealing process optimization provided by one embodiment of the present invention.

[0154] The titanium plate cold rolling system 100 based on annealing process optimization of the present invention can be installed in an electronic device. According to the functions to be implemented, the titanium plate cold rolling system 100 based on annealing process optimization can include an annealing processing module 101, a current rolling score value calculation module 102, an annealing process parameter combination cycle extraction module 103, and a titanium plate annealing and titanium plate cold rolling module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0155] The annealing processing module 101 is used to obtain an annealing process parameter combination sequence and an initial combination extraction interval value; extract annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and perform annealing processing on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing processing and is waiting to be cold-rolled;

[0156] The current rolling score value calculation module 102 is used to cold roll the titanium plate to be cold rolled according to the preset initial cold rolling thickness and the target cold rolling thickness, and to measure the average rolling pressure and the critical deformation rate, to construct a rolling deformation diagram according to the average rolling pressure, and to calculate the rolling deformation slope of the rolling deformation diagram, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure; according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows:

[0157] ,

[0158] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate;

[0159] The annealing process parameter combination cyclic extraction module 103 is used to determine whether the annealing process parameter combination has been extracted; if the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value; the initial combination extraction interval value is updated using the current combination extraction interval value, and the step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value is returned to the above-mentioned step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value;

[0160] The titanium plate annealing and titanium plate cold rolling module 104 is used to summarize all current rolling score values ​​to obtain a current rolling score value set if the annealing process parameter combination is extracted, and extract the best rolling score value from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set; identify the best process parameter combination corresponding to the best rolling score value, and perform titanium plate annealing and titanium plate cold rolling according to the best process parameter combination.

[0161] In detail, each module in the titanium plate cold rolling system 100 based on annealing process optimization in the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means as the titanium plate cold rolling method based on annealing process optimization described in the text can produce the same technical effects, so I will not go into details here.

[0162] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a titanium plate cold rolling method based on annealing process optimization provided by an embodiment of the present invention.

[0163] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a titanium plate cold rolling method program based on annealing process optimization.

[0164] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the titanium plate cold rolling method program based on annealing process optimization, but also can be used to temporarily store data that has been output or is to be output.

[0165] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a titanium plate cold rolling method program based on annealing process optimization, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0166] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0167] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0168] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0169] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0170] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0171] The titanium plate cold rolling method program based on annealing process optimization stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0172] Obtaining an annealing process parameter combination sequence and an initial combination extraction interval value;

[0173] Extracting annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and performing annealing treatment on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing treatment and is waiting for cold rolling;

[0174] The titanium plate to be cold-rolled is cold-rolled according to a preset initial cold-rolled thickness and a target cold-rolled thickness, and an average rolling pressure and a critical deformation rate are measured, a rolling deformation diagram is constructed according to the average rolling pressure, and a rolling deformation slope of the rolling deformation diagram is calculated, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure;

[0175] According to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows:

[0176] ,

[0177] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate;

[0178] Determining whether the annealing process parameter combination has been extracted;

[0179] If the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value;

[0180] Using the current combination extraction interval value to update the initial combination extraction interval value, and returning to the above step of sequentially extracting annealing process parameter combinations in the annealing process parameter combination sequence according to the initial combination extraction interval value;

[0181] If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain a current rolling score value set, and the best rolling score value is extracted from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set;

[0182] The optimal process parameter combination corresponding to the optimal rolling score value is identified, and the titanium plate is annealed and cold rolled according to the optimal process parameter combination.

[0183] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0184] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0185] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0186] Obtaining an annealing process parameter combination sequence and an initial combination extraction interval value;

[0187] Extracting annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and performing annealing treatment on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing treatment and is waiting for cold rolling;

[0188] The titanium plate to be cold-rolled is cold-rolled according to a preset initial cold-rolled thickness and a target cold-rolled thickness, and an average rolling pressure and a critical deformation rate are measured, a rolling deformation diagram is constructed according to the average rolling pressure, and a rolling deformation slope of the rolling deformation diagram is calculated, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure;

[0189] According to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows:

[0190] ,

[0191] Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate;

[0192] Determining whether the annealing process parameter combination has been extracted;

[0193] If the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value;

[0194] Using the current combination extraction interval value to update the initial combination extraction interval value, and returning to the above step of sequentially extracting annealing process parameter combinations in the annealing process parameter combination sequence according to the initial combination extraction interval value;

[0195] If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain a current rolling score value set, and the best rolling score value is extracted from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set;

[0196] The optimal process parameter combination corresponding to the optimal rolling score value is identified, and the titanium plate is annealed and cold rolled according to the optimal process parameter combination.

[0197] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0198] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0199] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0200] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0201] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A titanium plate cold rolling method based on annealing process optimization, characterized in that: The method comprises: Obtaining an annealing process parameter combination sequence and an initial combination extraction interval value; Extracting annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and performing annealing treatment on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing treatment and is waiting for cold rolling; The titanium plate to be cold-rolled is cold-rolled according to a preset initial cold-rolled thickness and a target cold-rolled thickness, and an average rolling pressure and a critical deformation rate are measured, a rolling deformation diagram is constructed according to the average rolling pressure, and a rolling deformation slope of the rolling deformation diagram is calculated, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure; According to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows: ， Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate; Determining whether the annealing process parameter combination has been extracted; If the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value; Using the current combination extraction interval value to update the initial combination extraction interval value, and returning to the above step of sequentially extracting annealing process parameter combinations in the annealing process parameter combination sequence according to the initial combination extraction interval value; If the annealing process parameter combination is extracted, all current rolling score values ​​are summarized to obtain a current rolling score value set, and the best rolling score value is extracted from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set; Identify the best process parameter combination corresponding to the best rolling score value, and perform titanium plate annealing and titanium plate cold rolling according to the best process parameter combination; The step of constructing a rolling deformation diagram according to the average rolling pressure comprises: According to the initial cold rolling thickness and the target cold rolling thickness, the reduction ratio is calculated using the following formula: ， in, represents the reduction rate, Indicates the initial cold-rolled thickness; Determining the rolling deformation point in a pre-constructed rolling deformation coordinate system according to the average rolling pressure and the reduction rate; Extracting the coordinate origin of the rolling deformation coordinate system, and constructing a rolling deformation diagram according to the coordinate origin and the rolling deformation point; The calculating the current combined extraction interval value according to the adjacent rolling score value and the current rolling score value comprises: According to the upcoming rolling score value and the current rolling score value, the real-time combined extraction interval value is calculated using the following formula: ， in, Indicates the real-time combination extraction interval value, represents the score adjustment coefficient, Represents the base of the rating index, Indicates the approaching rolling score value; Rounding the real-time combined extraction interval value to obtain a current combined extraction interval value; Updating the initial combination extraction interval value by using the current combination extraction interval value includes: Determine whether the current combined extraction interval value is 0; If the current combination extraction interval value is not 0, the initial combination extraction interval value is set as the current combination extraction interval value; If the current combination extraction interval value is 0, converting the real-time combination extraction interval value into a simplified fraction, identifying the simplified denominator and simplified numerator of the simplified fraction, and obtaining the variable parameter interval of the annealing process parameter combination; Performing equidistant interpolation on the variable parameter intervals according to the simplified denominator to obtain an equidistant interpolation set; identifying variable interpolation parameters in the isometric interpolation set based on the simplified numerator; The variable interpolation parameter is used to update the annealing process parameter combination sequence, and the initial combination extraction interval value is set to 0.

2. The titanium plate cold rolling method based on annealing process optimization according to claim 1, characterized in that: The step of obtaining the annealing process parameter combination sequence and the initial combination extraction interval value comprises: Acquire an annealing process index set, extract annealing process indexes in sequence from the annealing process index set, acquire an index process parameter sequence of the annealing process indexes, and obtain an index process parameter sequence set; Arrange and combine the indicator process parameter sequence set to obtain an annealing process parameter combination sequence; Identify the combination ordinal of the annealing process parameter combination sequence, and calculate the initial combination extraction interval value according to the combination ordinal and a pre-constructed interval value formula, wherein the interval value formula is as follows: ， in, Indicates the initial combination extraction interval value, represents the initial adjustment coefficient, represents the initial exponent base, Indicates the combination ordinal number.

3. The titanium plate cold rolling method based on annealing process optimization according to claim 2, characterized in that: The step of cold rolling the titanium plate to be cold rolled according to the preset initial cold rolling thickness and the target cold rolling thickness, and measuring the average rolling pressure and the critical deformation rate, comprises: According to the initial cold rolling thickness and the target cold rolling thickness, a cold rolling pressure test is performed on the titanium plate to be cold rolled by using a pre-constructed twenty-high rolling mill to obtain an average rolling pressure; Performing a cold rolling critical test on the titanium plate to be cold rolled according to the average rolling pressure, acquiring the real-time cold rolling thickness of the titanium plate to be cold rolled in real time, and drawing a real-time thickness curve according to the real-time cold rolling thickness; Determining whether the cold rolling critical test is completed; If the cold rolling critical test is completed, the critical cold rolling thickness is extracted from the real-time thickness curve according to a preset unit time, where the unit time is 1 second; According to the critical cold rolling thickness and the target cold rolling thickness, the critical deformation rate is calculated using the following formula: ， in, represents the critical deformation rate, Indicates the target cold-rolled thickness, Indicates critical cold rolling thickness.

4. The titanium plate cold rolling method based on annealing process optimization according to claim 3, characterized in that: The step of obtaining the adjacent rolling score value of the annealing process parameter combination includes: Identifying an adjacent process parameter combination of the annealing process parameter combination in a pre-constructed current interval combination table; The historical rolling score values ​​of the adjacent process parameter combination are identified in the current interval combination table, and the historical rolling score values ​​are used as the adjacent rolling score values.

5. The titanium plate cold rolling method based on annealing process optimization according to claim 4, characterized in that: After calculating the current combined extraction interval value according to the adjacent rolling score value and the current rolling score value, the method further includes: Acquire an initial interval combination table, wherein the first column of the initial interval combination table represents an annealing process parameter combination element column, the second column represents a rolling score element column, and the third column represents a combination extraction interval value element column; The annealing process parameter combinations are sequentially filled into the annealing process parameter combination element column, the current rolling score values ​​are sequentially filled into the rolling score element column, and the current combination extraction interval values ​​are sequentially filled into the combination extraction interval value element column to obtain a current interval combination table.

6. The titanium plate cold rolling method based on annealing process optimization according to claim 5, characterized in that: The step of updating the annealing process parameter combination sequence by using the variable interpolation parameter comprises: Identifying current variable parameters of the annealing process parameter combination; The current variable parameters are updated using the variable interpolation parameters.

7. A titanium plate cold rolling system based on annealing process optimization using the method as claimed in claim 1, characterized in that: The system comprises: The annealing processing module is used to obtain an annealing process parameter combination sequence and an initial combination extraction interval value; extract annealing process parameter combinations in the annealing process parameter combination sequence in sequence according to the initial combination extraction interval value, and perform annealing processing on the pre-constructed titanium plate to be annealed according to the annealing process parameter combination to obtain a titanium plate to be cold-rolled, wherein the titanium plate to be cold-rolled refers to a titanium plate that has completed annealing processing and is waiting for cold rolling; The current rolling score value calculation module is used to cold roll the titanium plate to be cold rolled according to the preset initial cold rolling thickness and the target cold rolling thickness, and measure the average rolling pressure and the critical deformation rate, construct a rolling deformation diagram according to the average rolling pressure, and calculate the rolling deformation slope of the rolling deformation diagram, wherein the horizontal axis of the rolling deformation diagram represents the reduction rate, and the vertical axis represents the average rolling pressure; according to the average rolling pressure, the rolling deformation slope and the critical deformation rate, the current rolling score value is calculated using a pre-constructed rolling score formula, wherein the critical deformation rate is the rolling deformation rate per unit time before the end of cold rolling, and the unit time refers to 1 second. The rolling score formula is as follows: ， Among them, y represents the current rolling score value, represents the pressure proportionality coefficient, represents the average rolling pressure, represents the slope proportionality coefficient, represents the rolling deformation slope, represents the rate proportionality coefficient, represents the critical deformation rate; The annealing process parameter combination cyclic extraction module is used to determine whether the annealing process parameter combination has been extracted; if the annealing process parameter combination has not been extracted, the adjacent rolling score value of the annealing process parameter combination is obtained, and the current combination extraction interval value is calculated according to the adjacent rolling score value and the current rolling score value; the initial combination extraction interval value is updated using the current combination extraction interval value, and the step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value is returned to the above-mentioned step of sequentially extracting the annealing process parameter combination in the annealing process parameter combination sequence according to the initial combination extraction interval value; The titanium plate annealing and titanium plate cold rolling module is used to summarize all current rolling score values ​​to obtain a current rolling score value set if the annealing process parameter combination is extracted, and extract the best rolling score value from the current rolling score value set, wherein the best rolling score value refers to the maximum rolling score value in the current rolling score value set; identify the best process parameter combination corresponding to the best rolling score value, and perform titanium plate annealing and titanium plate cold rolling according to the best process parameter combination.

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