An optimization method for production parameters of high-hardness high-speed tool steel used in the manufacture of high-temperature bearings

Abstract

The present invention discloses an optimization method for production parameters of high-hardness high-speed tool steel used for manufacturing high-temperature bearings, which relates to the field of metallurgical technology and includes: obtaining the correlation coefficient of production indexes relative to associated mechanical property indexes; obtaining the influence factors of production steps on production indexes; obtaining the target mechanical parameters of the mechanical property indexes of the bearings; obtaining the mechanical parameters to be compensated for the mechanical property indexes; generating at least one parameter preliminary adjustment plan for the production steps; forming key coefficients of estimated processing time, estimated processing cost and degree of change; calculating the adaptability coefficient of the parameter preliminary adjustment plan, and selecting the parameter preliminary adjustment plan with the smallest adaptability coefficient. By generating at least one parameter preliminary adjustment plan for the production steps and calculating the adaptability coefficient of the parameter preliminary adjustment plan, it is possible to determine the influence of many production steps of the tool steel on the mechanical property indexes of the bearings, and thus accurate regulation can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of metallurgical technology, and specifically relates to a method for optimizing production parameters of high-hardness high-speed tool steel for manufacturing high-temperature bearings. Background Art

[0002] Tool steel is used to manufacture cutting tools, measuring tools, molds and wear-resistant tools. Tool steel has relatively high hardness and can maintain high hardness and red hardness at high temperatures, as well as high wear resistance and appropriate toughness. Tool steel is generally divided into carbon tool steel, alloy tool steel and high-speed tool steel. Tool steel is also widely used in bearing manufacturing.

[0003] Bearings have relatively high requirements for mechanical properties such as wear resistance and hardness. However, the production of tool steel involves numerous parameters, and it is difficult to determine the impact of parameter adjustment on the properties of tool steel itself. Therefore, it is also difficult to determine the impact on bearings. Thus, when the performance of the bearing does not meet the requirements, it is difficult to carry out reasonable optimization. Summary of the Invention

[0004] To solve the above technical problems, a method for optimizing production parameters of high-hardness high-speed tool steel for manufacturing high-temperature bearings is provided. This technical solution solves the problem proposed in the above background art that bearings have relatively high requirements for mechanical properties such as wear resistance and hardness, but the production of tool steel involves numerous parameters, and it is difficult to determine the impact of parameter adjustment on the properties of tool steel itself. Therefore, it is also difficult to determine the impact on bearings. Thus, when the performance of the bearing does not meet the requirements, it is difficult to carry out reasonable optimization.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A method for optimizing production parameters of high-hardness high-speed tool steel for manufacturing high-temperature bearings, comprising:

[0007] Obtain at least one mechanical property index for bearing manufacturing and at least one production index of tool steel;

[0008] Associate the production index with the mechanical property index, obtain the correlation coefficient of the production index relative to the associated mechanical property index, and the correlation coefficient of the production index relative to the unassociated mechanical property index is 0. Combine the two situations to obtain the correlation coefficient of the production index relative to the mechanical property index;

[0009] Obtain at least one production step in the production process of tool steel, and obtain the influence factor of the production step on the production index, where the influence factor is 0, negative or positive;

[0010] Obtain the current production parameters of the production step, and obtain the current mechanical parameters of the mechanical property index of the bearing manufactured from the tool steel produced according to the current production parameters;

[0011] Obtain the target mechanical parameters of the mechanical performance indicators of the bearing. When the target mechanical parameters of the mechanical performance indicators are greater than the current mechanical parameters, optimize the current production parameters of the production steps; otherwise, do not optimize.

[0012] During optimization, subtract the current mechanical parameters from the target mechanical parameters of the mechanical performance indicators to obtain the mechanical parameters to be compensated for the mechanical performance indicators.

[0013] Generate at least one parameter preliminary adjustment plan for the production steps, calculate the estimated processing time of the parameter preliminary adjustment plan, calculate the estimated processing cost of the parameter preliminary adjustment plan, and calculate the degree of change of the parameter preliminary adjustment plan.

[0014] Form the key coefficients of the estimated processing time, estimated processing cost, and degree of change.

[0015] Calculate the adaptability coefficient of the parameter preliminary adjustment plan, select the parameter preliminary adjustment plan with the smallest adaptability coefficient as the parameter adjustment plan, and optimize the production steps according to the parameters in the parameter adjustment plan.

[0016] Preferably, the association of the production indicators with the mechanical performance indicators includes the following steps:

[0017] Randomly number the production indicators.

[0018] Generate a first assignment plan and a second assignment plan for the production indicators.

[0019] In the first assignment plan, all production indicators take the basic value. In the second assignment plan, the value of the production indicator numbered j is the sum of the basic value and j times the preset amplitude.

[0020] Under the value-taking conditions of the first assignment plan, obtain the reference values of at least one mechanical performance indicator.

[0021] Under the value-taking conditions of the second assignment plan, obtain the corrected values of at least one mechanical performance indicator.

[0022] Use the first proportional formula to calculate the first change ratio of the production indicators.

[0023] Use the second proportional formula to calculate the second change ratio of the mechanical performance indicators.

[0024] Subtract the first change ratios of adjacent-numbered production indicators and divide by 2 to obtain the sample gap.

[0025] Associate the production indicators and mechanical performance indicators that meet the association mechanism. The condition of the association mechanism is that the gap between the first change ratio of the production indicators and the second change ratio of the mechanical performance indicators is less than the sample gap.

[0026] The first proportional formula is as follows:

[0027]

[0028] Wherein, A is the first change ratio of the production index, j is the number of the production index, and F is the sum of the numbers of the production indexes;

[0029] The second proportional formula:

[0030]

[0031] Wherein, B is the second change ratio of the mechanical property index, b is the correction value of the mechanical property index, a is the reference value of the mechanical property index, c is the sum of the correction values of at least one mechanical property index, and d is the sum of the reference values of at least one mechanical property index.

[0032] Preferably, the obtaining of the correlation coefficient of the production index relative to the associated mechanical property index includes the following steps:

[0033] Dividing the second change ratio of the mechanical property index by the first change ratio of the associated production index to obtain the correlation coefficient of the production index relative to the associated mechanical property index.

[0034] Preferably, the obtaining of the influence factor of the production step on the production index includes the following steps:

[0035] Obtaining the change value of the production index when obtaining the preset amplitude of the parameter change of a single production step, wherein when the parameter of a single production step changes, the parameters of the remaining production steps remain unchanged;

[0036] When a single production step traverses at least one production step, at least one change value of the production index is obtained;

[0037] Using the influence factor formula, calculating the influence factor of the production step on the production index;

[0038] The influence factor formula is as follows:

[0039]

[0040] Wherein, C is the influence factor of the production step on the production index, D is the sum of at least one change value of the production index, and e is the change value of the production index generated by the change of the production step.

[0041] Preferably, the generating of at least one parameter preliminary adjustment plan for the production step includes the following steps:

[0042] Obtain the adjustment limit conditions satisfied by the parameter changes of the production indicators, and use the Gaussian elimination method to solve for at least one set of preliminary compensation values of the production indicators that satisfy the adjustment limit conditions;

[0043] Take the preliminary compensation value of each set of production indicators as the preliminary parameter adjustment plan;

[0044] The adjustment limit conditions are as follows:

[0045]

[0046] Among them, is the preliminary compensation value of the i-th production step, where i, j, and p are all subscripts, is the influence factor of the i-th production step on the j-th production indicator, and m is the total number of at least one production step, is the correlation coefficient of the j-th production indicator relative to the p-th mechanical property indicator, and k is the total number of at least one mechanical property indicator, is the mechanical parameter to be compensated for the p-th mechanical property indicator.

[0047] Preferably, the estimated processing time for calculating the preliminary parameter adjustment plan includes the following steps:

[0048] During the actual production process of the current production parameters of the production step, obtain the processing time consumed by the unit parameters of the production step;

[0049] The preliminary compensation value of the production step and the current production parameters are superimposed to obtain the pre-adjusted parameters of the production step;

[0050] The pre-adjusted parameters are divided by the unit parameters and multiplied by the processing time to obtain the estimated processing time.

[0051] Preferably, the estimated processing cost for calculating the preliminary parameter adjustment plan includes the following steps:

[0052] During the actual production process of the current production parameters of the production step, obtain the processing cost of the unit parameters of the production step;

[0053] The pre-adjusted parameters are divided by the unit parameters and multiplied by the processing cost to obtain the estimated processing cost.

[0054] Preferably, the degree of change of the preliminary parameter adjustment plan includes the following steps:

[0055] Use the change estimation formula to calculate the degree of change of the preliminary parameter adjustment plan;

[0056] The change estimation formula is as follows:

[0057]

[0058] Among them, E is the degree of change of the parameter preliminary adjustment plan, is the preliminary compensation value of the i-th production step, m is the total number of at least one production step, and i is the subscript.

[0059] Preferably, the key coefficients for forming the estimated processing time, the estimated processing cost, and the degree of change include the following steps:

[0060] Take the reciprocal of the unit time as the key coefficient of the estimated processing time;

[0061] Based on historical data, obtain the average cost of processing per unit time;

[0062] Take the reciprocal of the average cost as the key coefficient of the estimated processing cost;

[0063] Based on historical data, obtain the plan of the parameter regulation and control of the production step consuming unit time as the reference production step adjustment plan;

[0064] Obtain the degree of change of the reference production step adjustment plan as the reference degree of change;

[0065] Take the reciprocal of the reference degree of change as the key coefficient of the degree of change.

[0066] Preferably, the steps for calculating the adaptability coefficient of the parameter preliminary adjustment plan include the following:

[0067] Use the adaptability formula to calculate the adaptability coefficient of the parameter preliminary adjustment plan;

[0068] The adaptability formula is as follows:

[0069]

[0070] Among them, G is the adaptability coefficient of the parameter preliminary adjustment plan, X is the estimated processing time, is the key coefficient of the estimated processing time, Y is the estimated processing cost, is the key coefficient of the estimated processing cost, E is the degree of change of the parameter preliminary adjustment plan, is the key coefficient of the degree of change.

[0071] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0072] By obtaining the correlation coefficient of the production index relative to the associated mechanical property index, obtaining the influence factor of the production step on the production index, generating at least one parameter preliminary adjustment plan for the production step, and calculating the adaptability coefficient of the parameter preliminary adjustment plan, it is possible to determine the influence of numerous production steps of tool steel on the mechanical property index of the bearing. Furthermore, accurate regulation can be carried out. At the same time, when regulating, the changes in cost and time caused by the regulation are considered, so as to select a plan with less comprehensive consumption of cost and time for optimization, thereby enhancing the rationality of the optimization. Brief Description of the Drawings

[0073] Figure 1 It is a schematic flowchart of the production parameter optimization method for high-hardness high-speed tool steel used in the manufacture of high-temperature bearings according to the present invention;

[0074] Figure 2 It is a schematic flowchart of correlating the production index with the mechanical property index according to the present invention;

[0075] Figure 3 It is a schematic flowchart of obtaining the influence factor of the production step on the production index according to the present invention;

[0076] Figure 4 It is a schematic flowchart of generating at least one parameter preliminary adjustment plan for the production step according to the present invention;

[0077] Figure 5 It is a schematic flowchart of calculating the estimated processing time of the parameter preliminary adjustment plan according to the present invention;

[0078] Figure 6 It is a schematic flowchart of calculating the estimated processing cost of the parameter preliminary adjustment plan according to the present invention;

[0079] Figure 7 It is a schematic flowchart of forming the key coefficients of the estimated processing time, the estimated processing cost, and the degree of change according to the present invention. Detailed Description of the Preferred Embodiments

[0080] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0081] Referring to Figure 1 as shown, a production parameter optimization method for high-hardness high-speed tool steel used in the manufacture of high-temperature bearings includes:

[0082] Obtaining at least one mechanical property index of bearing manufacturing and obtaining at least one production index of tool steel;

[0083] Associate production indicators with mechanical property indicators to obtain the correlation coefficient of production indicators with respect to the associated mechanical property indicators. The correlation coefficient of production indicators with respect to unassociated mechanical property indicators is 0. Combine the two cases to obtain the correlation coefficient of production indicators with respect to mechanical property indicators.

[0084] Obtain at least one production step in the tool steel production process, and obtain the influence factor of the production step on the production indicator. The influence factor is 0, negative, or positive.

[0085] Obtain the current production parameters of the production step, and obtain the current mechanical parameters of the mechanical property indicators of the bearing manufactured from the tool steel produced according to the current production parameters.

[0086] Obtain the target mechanical parameters of the mechanical property indicators of the bearing. When the target mechanical parameters of the mechanical property indicators are greater than the current mechanical parameters, optimize the current production parameters of the production step; otherwise, do not optimize.

[0087] During optimization, subtract the current mechanical parameters from the target mechanical parameters of the mechanical property indicators to obtain the mechanical parameter to be compensated for the mechanical property indicators.

[0088] Generate at least one parameter preliminary adjustment plan for the production step, calculate the estimated processing time of the parameter preliminary adjustment plan, calculate the estimated processing cost of the parameter preliminary adjustment plan, and calculate the degree of change of the parameter preliminary adjustment plan.

[0089] Form the key coefficients of the estimated processing time, estimated processing cost, and degree of change.

[0090] Calculate the adaptability coefficient of the parameter preliminary adjustment plan, select the parameter preliminary adjustment plan with the smallest adaptability coefficient as the parameter adjustment plan, and optimize the production step according to the parameters in the parameter adjustment plan.

[0091] When tool steel is being produced, the parameters of its production steps will affect its own production indicators, and the differences in the production indicators of tool steel will in turn affect the mechanical property indicators of the bearing. Since the production steps will affect multiple production indicators, and the production indicators will also affect multiple mechanical property indicators, the intertwined influences will pose great difficulties in determining the parameters for optimization and adjustment. At the same time, the adjustment will cause changes in processing time and processing cost, and there is also a large or small degree of change in the adjustment. The greater the degree of change in the adjustment, the longer the adjustment time, and the larger the processing time and processing cost, the more unreasonable the adjustment. Therefore, when making adjustments, these factors must also be taken into consideration to obtain a more reasonable optimization plan. In this plan, corresponding algorithms are set to solve the problems mentioned above.

[0092] Refer to Figure 2As shown, correlating production indicators with mechanical property indicators includes the following steps:

[0093] Randomly number the production indicators;

[0094] Generate a first assignment scheme and a second assignment scheme for the production indicators;

[0095] In the first assignment scheme, all production indicators take the base value. In the second assignment scheme, the value of the production indicator numbered j is the sum of the base value and j times the preset range;

[0096] Under the value-taking conditions of the first assignment scheme, obtain the reference values of at least one mechanical property indicator;

[0097] Under the value-taking conditions of the second assignment scheme, obtain the corrected values of at least one mechanical property indicator;

[0098] Use the first proportional formula to calculate the first change ratio of the production indicators;

[0099] Use the second proportional formula to calculate the second change ratio of the mechanical property indicators;

[0100] Take the difference between the first change ratios of adjacent-numbered production indicators and divide by 2 to obtain the sample gap;

[0101] Correlate the production indicators and mechanical property indicators that meet the correlation mechanism. The condition of the correlation mechanism is that the difference between the first change ratio of the production indicator and the second change ratio of the mechanical property indicator is less than the sample gap;

[0102] The first proportional formula is as follows:

[0103]

[0104] Wherein, A is the first change ratio of the production indicator, j is the number of the production indicator, and F is the sum of the numbers of the production indicators;

[0105] The second proportional formula:

[0106]

[0107] Wherein, B is the second change ratio of the mechanical property indicator, b is the corrected value of the mechanical property indicator, a is the reference value of the mechanical property indicator, c is the sum of the corrected values of at least one mechanical property indicator, and d is the sum of the reference values of at least one mechanical property indicator.

[0108] The way to associate production indicators with mechanical property indicators is through the setting of the first assignment scheme and the second assignment scheme. In the second assignment scheme, the value of the production indicator numbered j is set as the sum of the base value and j times the preset range. Thus, the values of each production indicator are different. Therefore, the change ratio of the production indicators in the first assignment scheme and the second assignment scheme can be calculated. The first ratio formula is the result of canceling out the preset range in the numerator and denominator. At the same time, the second change ratio of the mechanical property indicators is also calculated. Then, the first change ratio of the associated production indicators and the mechanical property indicators must be the closest. Since the difference in the first change ratio of adjacent numbered production indicators is twice the sample difference, when the difference between the second change ratio and the first change ratio is less than the sample difference, then the second change ratio and the first change ratio must be the closest. Therefore, the corresponding production indicators and mechanical property indicators can be associated. It should be noted that there may be multiple second change ratios whose difference from the first change ratio is less than the sample difference. Therefore, the production indicators are associated with at least one mechanical property indicator.

[0109] Obtaining the correlation coefficient of the production indicator with respect to the associated mechanical property indicator includes the following steps:

[0110] Dividing the second change ratio of the mechanical property indicator by the first change ratio of the associated production indicator to obtain the correlation coefficient of the production indicator with respect to the associated mechanical property indicator.

[0111] For the convenience of subsequent calculations, the correlation coefficient of the production indicator with respect to the mechanical property indicator is obtained. However, here it is divided into two cases: the correlation coefficient of the production indicator with respect to the associated mechanical property indicator and the correlation coefficient of the production indicator with respect to the non-associated mechanical property indicator. Obviously, the correlation coefficient of the production indicator with respect to the non-associated mechanical property indicator is 0. Therefore, only the correlation coefficient of the production indicator with respect to the associated mechanical property indicator needs to be obtained.

[0112] Refer to Figure 3 As shown, obtaining the influence factor of the production step on the production indicator includes the following steps:

[0113] When obtaining the preset range of parameter changes of a single production step, the change value of the production indicator, where when the parameters of a single production step change, the parameters of the remaining production steps remain unchanged;

[0114] When a single production step traverses at least one production step, at least one change value of the production indicator is obtained;

[0115] Using the influence factor formula, calculate the influence factor of the production step on the production indicator;

[0116] The influence factor formula is as follows:

[0117]

[0118] Among them, C is the influence factor of the production step on the production index, D is the sum of at least one change value of the production index, and e is the change value of the production index caused by the change of the production step.

[0119] Here, the control variable method is adopted before and after the influence factor. When the influence of the production step on the production index is greater, its influence factor is greater. Therefore, the change value of the production index corresponding to the preset range of parameter change of a single production step is used to calculate the influence factor. Thus, the calculation result is synchronized with the influence of the production step on the production index. Therefore, this result can be used as the influence factor.

[0120] Refer to Figure 4 As shown, generating at least one parameter preliminary adjustment plan for the production step includes the following steps:

[0121] Obtain the adjustment limit conditions satisfied by the parameter change of the production index, and use the Gaussian elimination method to solve and obtain at least one set of preliminary compensation values of the production index that satisfy the adjustment limit conditions;

[0122] Take each set of preliminary compensation values of the production index as the parameter preliminary adjustment plan;

[0123] The adjustment limit conditions are as follows:

[0124]

[0125] Among them, is the preliminary compensation value of the i-th production step, where i, j, and p are all subscripts, is the influence factor of the i-th production step on the j-th production index, m is the total number of at least one production step, is the correlation coefficient of the j-th production index relative to the p-th mechanical property index, k is the total number of at least one mechanical property index, is the mechanical parameter to be compensated for the p-th mechanical property index.

[0126] Here, j is a subscript, while before j was the number of the production index. There is no inconsistency because here, j as a subscript still counts the production index. Therefore, it is the same kind of label as the number of the production index. Therefore, the same letter is used to represent it;

[0127] According to the calculation method of the matrix, the first matrix is multiplied by the second matrix to obtain a matrix with 1 row and n columns, and then multiplied by the third matrix to obtain a matrix with 1 row and k columns. Since the second matrix is composed of influence factors and the third matrix is composed of correlation coefficients, this matrix multiplication is equivalent to calculating the adjustment of the preliminary compensation value of the production steps to the mechanical performance indicators, and then corresponding to the mechanical parameters to be compensated of the known k mechanical performance indicators one by one. Thus, k equations can be obtained, where is the unknown. Therefore, the solution that satisfies the conditions can be obtained. However, there may be an infinite number of solutions to this system of equations. Therefore, for this case, any finite combination of solutions is selected as at least one set of preliminary compensation values of the production indicators that satisfy the adjustment limit conditions.

[0128] Refer to Figure 5 As shown, calculating the estimated processing time of the parameter preliminary adjustment plan includes the following steps:

[0129] During the actual production process of the current production parameters of the production step, obtain the processing time-consuming of the unit parameters of the production step;

[0130] The preliminary compensation value of the production step and the current production parameters are superimposed to obtain the pre-adjustment parameters of the production step;

[0131] The pre-adjustment parameters are divided by the unit parameters and multiplied by the processing time-consuming to obtain the estimated processing time.

[0132] During regulation, time needs to be controlled, which will affect the processing efficiency. Therefore, it is necessary to calculate the estimated processing time.

[0133] Refer to Figure 6 As shown, calculating the estimated processing cost of the parameter preliminary adjustment plan includes the following steps:

[0134] During the actual production process of the current production parameters of the production step, obtain the processing cost of the unit parameters of the production step;

[0135] The pre-adjustment parameters are divided by the unit parameters and multiplied by the processing cost to obtain the estimated processing cost.

[0136] During regulation, cost needs to be controlled. Therefore, it is necessary to calculate the estimated processing cost.

[0137] Calculating the degree of change of the parameter preliminary adjustment plan includes the following steps:

[0138] Use the change estimation formula to calculate the degree of change of the parameter preliminary adjustment plan;

[0139] The change estimation formula is as follows:

[0140]

[0141] Among them, E is the degree of change of the preliminary parameter adjustment plan, is the preliminary compensation value of the i-th production step, m is the total number of at least one production step, and i is the subscript.

[0142] The greater the degree of change, the longer the adjustment time. Therefore, for the rationality of the plan, it is necessary to consider the degree of change.

[0143] Refer to Figure 7 As shown, the steps to form the key coefficients of the estimated processing time, estimated processing cost, and degree of change are as follows:

[0144] Take the reciprocal of the unit time as the key coefficient of the estimated processing time;

[0145] Based on historical data, obtain the average cost of processing per unit time;

[0146] Take the reciprocal of the average cost as the key coefficient of the estimated processing cost;

[0147] Based on historical data, obtain the plan of the parameter regulation of the production step consuming unit time as the reference production step adjustment plan;

[0148] Obtain the degree of change of the reference production step adjustment plan as the reference degree of change;

[0149] Take the reciprocal of the reference degree of change as the key coefficient of the degree of change.

[0150] Since the estimated processing time, estimated processing cost, and degree of change are different quantities, their results cannot be directly aggregated. It is necessary to assign weights so that their results can be aggregated. Here, the weights are determined in an equivalent way. Taking the reciprocal of the average cost as the key coefficient of the estimated processing cost, since the unit time corresponds to the average cost, multiplying the estimated processing cost by the key coefficient of the estimated processing cost means the number of unit times included in the estimated processing cost. Similarly, the reference degree of change corresponds to the unit time. Therefore, taking the reciprocal of the reference degree of change as the key coefficient of the degree of change, multiplying the key coefficient of the degree of change by the degree of change means the number of unit times included in the degree of change, and multiplying the estimated processing time by the key coefficient of the estimated processing time means the number of unit times included in the estimated processing time. This is the principle of the adaptation formula, so the adaptation formula is reasonable and can be used to calculate the adaptation coefficient of the preliminary parameter adjustment plan.

[0151] The steps to calculate the adaptation coefficient of the preliminary parameter adjustment plan are as follows:

[0152] Using the adaptability formula, calculate the adaptability coefficient of the preliminary parameter adjustment plan;

[0153] The adaptability formula is as follows:

[0154]

[0155] Among them, G is the adaptability coefficient of the preliminary parameter adjustment plan, X is the estimated processing time, is the criticality coefficient of the estimated processing time, Y is the estimated processing cost, is the criticality coefficient of the estimated processing cost, E is the degree of change of the preliminary parameter adjustment plan, is the criticality coefficient of the degree of change.

[0156] Furthermore, this solution also proposes a storage medium, on which a computer-readable program is stored. When the computer-readable program is called, it executes the above-mentioned method for optimizing the production parameters of high-hardness high-speed tool steel for the manufacture of high-temperature bearings.

[0157] It can be understood that the storage medium can be a magnetic medium, for example, a floppy disk, a hard disk, a magnetic tape; an optical medium such as a DVD; or a semiconductor medium such as a solid-state disk (SSD), etc.

[0158] In summary, the advantages of the present invention are as follows: By obtaining the correlation coefficient of the production index relative to the associated mechanical property index, obtaining the influence factor of the production step on the production index, generating at least one preliminary parameter adjustment plan for the production step, and calculating the adaptability coefficient of the preliminary parameter adjustment plan, it is possible to determine the influence of many production steps of tool steel on the mechanical property index of the bearing, and then accurate regulation can be carried out. At the same time, when regulating, the changes in cost and time caused by the regulation are considered, so as to select a plan with less comprehensive consumption of cost and time for optimization, thereby improving the rationality of the optimization.

[0159] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art of this industry should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing, characterized in that: include: Obtain at least one mechanical performance index of bearing manufacturing and at least one production index of tool steel; Correlate the production index with the mechanical performance index to obtain the correlation coefficient of the production index relative to the correlated mechanical performance index. The correlation coefficient of the production index relative to the uncorrelated mechanical performance index is 0. Combine the two situations to obtain the correlation coefficient of the production index relative to the mechanical performance index. Obtain at least one production step in the tool steel production process, and obtain an influence factor of the production step on the production index, where the influence factor is 0, a negative number, or a positive number; Acquire current production parameters of the production step, and acquire current mechanical parameters of mechanical performance indicators of the bearing made of tool steel produced according to the current production parameters; Obtaining target mechanical parameters of the mechanical performance index of the bearing, and when there is a target mechanical parameter of the mechanical performance index that is greater than the current mechanical parameter, optimizing the current production parameter of the production step, otherwise, not optimizing; During optimization, the target mechanical parameters of the mechanical performance index are subtracted from the current mechanical parameters to obtain the mechanical parameters to be compensated for the mechanical performance index; generating at least one preliminary parameter adjustment plan for a production step, calculating an estimated processing time of the preliminary parameter adjustment plan, calculating an estimated processing cost of the preliminary parameter adjustment plan, and calculating a degree of change of the preliminary parameter adjustment plan; Form critical coefficients for estimated processing time, estimated processing cost and degree of variation; Calculating the adaptability coefficient of the preliminary parameter adjustment scheme, selecting the preliminary parameter adjustment scheme with the smallest adaptability coefficient as the parameter adjustment scheme, and optimizing the production steps according to the parameters in the parameter adjustment scheme; The generating of at least one parameter preparatory adjustment scheme for the production step comprises the following steps: Obtaining adjustment constraints satisfied by parameter changes of production indicators, and using Gaussian elimination method to solve and obtain at least one set of preliminary compensation values ​​of production indicators satisfying the adjustment constraints; The prepared compensation value of each group of production indicators is used as a parameter preparation adjustment plan; Adjust the restrictions as follows: Among them, a i is the preparatory compensation value of the i-th production step, i, j and p are all subscripts, b ij is the impact factor of the i-th production step on the j-th production index, m is the total number of at least one production step, c jp is the correlation coefficient of the jth production index relative to the pth mechanical performance index, k is the total number of at least one mechanical performance index, d p is the mechanical parameter to be compensated for the pth mechanical performance index.

2. The method for optimizing production parameters of high-hardness and high-speed tool steel for high-temperature bearing manufacturing according to claim 1, characterized in that: The step of associating the production index with the mechanical performance index comprises the following steps: Randomly number production indicators; Generate a first value assignment scheme and a second value assignment scheme for the production index; In the first value assignment scheme, the production index is taken as the basic value. In the second value assignment scheme, the production index numbered j is taken as the sum of the basic value and j times the preset amplitude. Under the value conditions of the first value assignment scheme, obtaining a reference value of at least one mechanical performance index; Under the value conditions of the second value assignment scheme, obtaining a corrected value of at least one mechanical property index; Using the first proportion formula, calculate the first change proportion of the production index; Using the second ratio formula, calculate the second variation ratio of the mechanical performance index; Difference of the first change ratios of adjacent production indicators is taken and divided by 2 to obtain the sample gap; The production index and the mechanical performance index that satisfy the correlation mechanism are correlated. The condition of the correlation mechanism is that the difference between the first change ratio of the production index and the second change ratio of the mechanical performance index is smaller than the sample difference. The first ratio formula is as follows: Wherein, A is the first change ratio of the production index, j is the number of the production index, and F is the sum of the numbers of the production index; Second ratio formula: Among them, B is the second change ratio of the mechanical property index, b is the correction value of the mechanical property index, a is the reference value of the mechanical property index, c is the sum of the correction value of at least one mechanical property index, and d is the sum of the reference value of at least one mechanical property index.

3. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 2, characterized in that: The step of obtaining the correlation coefficient between the production index and the associated mechanical performance index comprises the following steps: The second change ratio of the mechanical property index is divided by the first change ratio of the associated production index to obtain a correlation coefficient of the production index with respect to the associated mechanical property index.

4. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 3, characterized in that: The obtaining of the influencing factors of the production steps on the production indicators comprises the following steps: Obtaining the change value of the production index when the parameter of a single production step changes by a preset range, wherein when the parameter of a single production step changes, the parameters of the other production steps remain unchanged; When a single production step traverses at least one production step, at least one change value of the production index is obtained; Use the impact factor formula to calculate the impact factor of the production step on the production index; The impact factor formula is as follows: Among them, C is the impact factor of the production step on the production index, D is the sum of at least one change value of the production index, and e is the change value of the production index caused by the change of the production step.

5. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 4, characterized in that: The estimated processing time of the calculation parameter preparation adjustment scheme includes the following steps: In the actual production process of the current production parameters of the production step, the processing time of the unit parameters of the production step is obtained; The preparatory compensation value of the production step is superimposed on the current production parameter to obtain the pre-adjustment parameter of the production step; The pre-adjusted parameter is divided by the unit parameter and multiplied by the processing time to obtain the estimated processing time.

6. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 5, characterized in that: The estimated processing cost of the calculation parameter preparation adjustment scheme includes the following steps: In the actual production process of the current production parameters of the production step, the processing cost of the unit parameters of the production step is obtained; The pre-adjusted parameter is divided by the unit parameter and multiplied by the processing cost to obtain the estimated processing cost.

7. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 6, characterized in that: The calculation of the variation degree of the preliminary adjustment scheme of the parameters comprises the following steps: Use the change estimation formula to calculate the degree of change of the parameter preparation adjustment plan; The change estimation formula is as follows: Among them, E is the degree of change of the parameter preparation adjustment plan, a i is the preliminary compensation value of the i-th production step, m is the total number of at least one production step, and i is a subscript.

8. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 7, characterized in that: The critical coefficients for forming the estimated processing time, estimated processing cost and degree of variation include the following steps: The reciprocal of the unit time is used as the critical coefficient for estimating the processing time; Based on historical data, obtain the average cost of processing per unit time; The inverse of the average cost is used as the key factor for estimating processing costs; Based on historical data, obtain the time-consuming plan for parameter control of production steps as a benchmark production step adjustment plan; Obtaining the degree of change of the baseline production step adjustment plan as the baseline change degree; The inverse of the benchmark change degree is taken as the key coefficient of the change degree.

9. The method for optimizing production parameters of high-hardness high-speed tool steel for high-temperature bearing manufacturing according to claim 8, characterized in that: The calculation of the adaptability coefficient of the preliminary parameter adjustment scheme comprises the following steps: Use the adaptability formula to calculate the adaptability coefficient of the parameter preparation adjustment plan; The adaptability formula is as follows: G=αX+βY+γE Among them, G is the adaptability coefficient of the parameter preparation adjustment plan, X is the estimated processing time, α is the critical coefficient of the estimated processing time, Y is the estimated processing cost, β is the critical coefficient of the estimated processing cost, E is the degree of change of the parameter preparation adjustment plan, and γ is the critical coefficient of the degree of change.

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