A firearm ignition reliability control method

Abstract

The present disclosure provides a firearm firing ignition reliability control method, which relates to the field of firearms. The firearm firing ignition reliability control method comprises: acquiring a key influence parameter of a predetermined firearm firing ignition reliability; performing control variable analysis on the firearm firing ignition reliability based on the key influence parameter to obtain a sample database; fitting a firearm firing ignition reliability influence relationship model according to the sample database; acquiring a firearm firing ignition reliability expectation value, and determining a target firearm firing ignition structure parameter based on the reliability influence relationship model and the firearm firing ignition reliability expectation value, so as to control the reliability of the firearm firing ignition through the target firearm firing ignition structure parameter. The firearm firing ignition reliability control method according to the present disclosure reduces the failure rate of the firearm, and improves the stability and reliability of the firearm firing ignition.

Description

Technical Field

[0001] The present disclosure relates to the field of firearms, and in particular to a method for controlling the firing reliability of firearms. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the present disclosure that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] During the firing process, the firing pin strikes the primer under the force of impact, forcing the primer shell to deform. The primer is then squeezed and ignited, igniting the propellant through the priming hole, generating high-pressure gas to eject the ammunition from the barrel. This process involves complex mechanical and chemical coupling and is called firing. The process in which the firing pin strikes the primer and ignites the propellant is called the firing process. Process errors, random loads, and inconsistent material properties during the firearm manufacturing process can all affect the reliability of the firing performance. Furthermore, under special firearm operating environments such as high and low temperatures, dust, river water immersion, and salt spray, changes in the physical properties of the various component materials and the thermodynamic and chemical properties of the firing agent will affect the motion parameters of the firing mechanism components, the energy transfer patterns, the sensitivity of the firing agent, and the combustion properties, thereby affecting the reliability of the firing performance.

[0004] During the use or actual combat of firearms, affected by various factors such as the design and manufacturing process and the combat environment, firearms often suffer from malfunctions such as misfires, accidental discharges, premature discharges, and delayed discharges, thereby threatening the service life of the firearms or the personal safety of the users. In addition, the prior art does not disclose relevant analysis, control models or similar methods for factors affecting the firing reliability, so that designers can adjust various parameters to stabilize the firing reliability of firearms to the desired value. Summary of the Invention

[0005] In order to overcome the problems existing in the related art, the present disclosure provides a firearm firing reliability control method and a firearm firing reliability control device.

[0006] According to a first aspect of the present disclosure, a firearm firing reliability control method is provided, the firearm firing reliability control method comprising:

[0007] Obtaining predetermined key influencing parameters of firearm firing reliability;

[0008] Performing a control variable analysis on the firing reliability of the firearm based on the key influencing parameters to obtain a sample database;

[0009] The firearm firing reliability influence relationship model is obtained by fitting the sample database;

[0010] The firearm firing ignition reliability expectation value is acquired, and a target firearm firing ignition structure parameter is determined based on the reliability influence relationship model and the firearm firing ignition reliability expectation value, so as to control the reliability of firearm firing ignition by the target firearm firing ignition structure parameter.

[0011] According to a second aspect of the present disclosure, a firearm firing ignition reliability control device is provided, which comprises:

[0012] An influence parameter acquisition module is configured to acquire a pre-determined key influence parameter of firearm firing ignition reliability.

[0013] A sample database establishment module is configured to perform control variable analysis on the firearm firing ignition reliability based on the key influence parameter, and obtain a sample database.

[0014] A model establishment module is configured to fit a firearm firing ignition reliability influence relationship model according to the sample database.

[0015] A structure parameter determination module is configured to acquire a firearm firing ignition reliability expectation value, and determine a target firearm firing ignition structure parameter based on the reliability influence relationship model and the firearm firing ignition reliability expectation value.

[0016] The technical solution provided by the embodiments of the present disclosure can have the following beneficial effects:

[0017] By the embodiments of the present disclosure, the key influence parameters of the firearm firing ignition reliability can be acquired, then the control variable analysis of the firearm firing ignition reliability is performed to obtain a sample database, so that the influence relationship model of the firearm firing ignition reliability can be fitted, the target firearm firing ignition structure parameters are determined by combining the acquired firearm firing ignition reliability expectation value and the firearm firing ignition reliability relationship model, so as to control the reliability of the firearm firing ignition by the target firearm firing ignition structure parameters. On the one hand, the structure parameters for improving the firearm firing ignition reliability are generated by fitting the data in the sample database to construct the firearm firing ignition reliability relationship model, and the structure parameters are applied to the design and production of the firearm and the bullet, so that the manufactured firearm can obtain higher reliability in the firing ignition process, the stability of the firearm firing ignition is improved, the failure rate of the firearm is reduced, and the use safety of the firearm is improved. On the other hand, for some parameters which are difficult to modify, difficult to control or have complex modification process and high cost in the manufacturing process, the common influence of the parameters on the reliability is utilized, and the way of adjusting multiple parameters is adopted to make the firearm firing ignition reliability also reach the expectation value, so that the problem that the firearm firing ignition reliability cannot reach the target expectation value due to the complexity of the adjustment process of a certain parameter is avoided, the stability, feasibility and effectiveness of the determined target parameter data in the manufacturing process of the high firing ignition reliability firearm are improved, and the reliability of the firearm firing ignition is improved.

[0018] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are incorporated into the specification and constitute a part of the present disclosure, illustrate embodiments consistent with the present disclosure and, together with the specification, serve to explain the principles of the present disclosure.

[0020] Figure 1 FIG. 1 is a flowchart of a firearm firing ignition reliability control method according to an exemplary embodiment of the present disclosure.

[0021] Figure 2 FIG. 2 is a structure diagram of a Berdan primer according to an exemplary embodiment of the present disclosure.

[0022] Figure 3 FIG. 3 is a principle diagram of multi-influence factor sampling according to an exemplary embodiment of the present disclosure.

[0023] Figure 4 FIG. 4 is a structure diagram of a firearm firing ignition structure according to an exemplary embodiment of the present disclosure.

[0024] Figure 5is a flowchart of determining single-impact parameter tolerance data according to an example embodiment of the present disclosure.

[0025] Figure 6 is a flowchart of determining multi-impact parameter matching tolerance data according to an example embodiment of the present disclosure.

[0026] Figure 7 is a block diagram of a firearm firing ignition reliability control device according to an example embodiment of the present disclosure.

[0027] Figure 8 is a hardware structure diagram of a computer device in which the firearm firing ignition reliability control device according to an example embodiment of the present disclosure is implemented.

[0028] Figure 9 is an example flowchart of another firearm firing ignition reliability control method according to an example embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] The example embodiments will be described in detail herein with reference to the attached drawings. The description of the example embodiments is only to illustrate the principles of the present disclosure and should not be construed to limit the scope of the present disclosure. The following description of the example embodiments is not meant to represent all embodiments in conformity therewith in all fields. Rather, they are merely examples of apparatuses and methods in conformity with some aspects of the present disclosure as detailed in the appended claims.

[0030] The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. As used in the present disclosure and the appended claims, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0031] It will be understood that, although the terms first, second, third, etc. can be used herein to describe various information, these terms are not intended to denote a temporal or chronological order. Rather, these terms are used solely to distinguish one from another only. For example, a first information can be termed a second information, and similarly, a second information can also be termed a first information, without departing from the scope of the present disclosure. The word "if' as used herein means "when" or "upon" or "in response to the determination" depending on the context.

[0032] The embodiments of the present disclosure may be implemented as a system, apparatus, device, method, or computer program product. Therefore, the present disclosure may be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software. At the same time, the present disclosure does not limit the type of electronic device operating system. For example, Android system, Linux system, Windows system, IOS system, etc.

[0033] In this article, it is important to understand that the terms involved are:

[0034] Curve fitting is a method of mathematically substituting existing data into a mathematical expression. Scientific and engineering problems can be solved by obtaining discrete data through methods such as sampling and experimentation. The process of fitting these data to a continuous function or a more complex discrete equation is called curve fitting.

[0035] During the firing and ignition process of firearms, various failures often occur in firearms due to the influence of various factors such as design and manufacturing process, environmental combat, etc., which can cause damage to the firearms and even casualties. Therefore, in the manufacturing process of firearms, it is particularly important to make corresponding adjustments to the design parameters to improve the reliability of firearm firing and ignition.

[0036] In the related art, there are the following problems:

[0037] During the design process of firearms, due to the influence of design and manufacturing processes, errors often occur in the relevant parameters of firearm design, which has a positive or negative effect on the reliability of firearm firing, and then leads to various malfunctions during the use of firearms, posing a threat to the service life of the firearms and the personal safety of the user.

[0038] In the process of adjusting firearm design parameters, the adjustment of some parameters will have a greater impact on the structure and affect the performance of the firearm, or changing some parameters will lead to increased production costs. It is difficult to achieve the expected value of firearm firing reliability by optimizing a single parameter.

[0039] Based on one or more problems in the related art, the embodiment of the present disclosure first proposes a method for controlling the firing reliability of a firearm. The method can be executed by a terminal device or a server, and the server execution method is used as an example for explanation below.

[0040] like Figure 1 As shown, Figure 1 This is a flow chart of a method for controlling the firing reliability of a firearm according to an exemplary embodiment of the present disclosure, comprising the following steps:

[0041] In step S101, a key influence parameter of firearm firing ignition reliability is acquired;

[0042] In step S102, a control variable analysis is performed on the firearm firing ignition reliability based on the key influence parameter, and a sample database is obtained;

[0043] In step S103, a firearm firing ignition reliability influence relationship model is fitted according to the sample database;

[0044] In step S104, a firearm firing ignition reliability expectation value is acquired, and a target firearm firing ignition structure parameter is determined based on the reliability influence relationship model and the firearm firing ignition reliability expectation value, so as to control the reliability of firearm firing ignition through the target firearm firing ignition structure parameter.

[0045] According to the embodiments of the present disclosure, the key influence parameter of firearm firing ignition reliability is acquired, then the control variable analysis is performed on the firearm firing ignition reliability, and the sample database is obtained, so that the firearm firing ignition reliability influence relationship model is fitted, the firearm firing ignition reliability expectation value is acquired, and the target firearm firing ignition structure parameter is determined by combining the firearm firing ignition reliability expectation value with the firearm firing ignition reliability influence relationship model, so as to control the reliability of firearm firing ignition through the target firearm firing ignition structure parameter. On the one hand, the firearm firing ignition reliability influence relationship model is constructed by fitting the data in the sample database, and the structure parameter for improving the firearm firing ignition reliability is generated, which is applied to the design and production of the firearm and the bullet, so that the manufactured firearm has higher reliability in the process of firing ignition, the stability of firearm firing ignition is improved, the failure rate of the firearm is reduced, and the use safety of the firearm is improved. On the other hand, for some parameters that are difficult to modify, difficult to control or have complex modification process and high cost, the common influence of the parameters on the reliability is utilized, and the adjustment of multiple parameters is adopted to make the firearm firing ignition reliability reach the expectation value, so as to avoid the problem that the firearm firing ignition reliability cannot reach the target expectation value due to the complexity of the adjustment process of a certain parameter, and the stability, feasibility and effectiveness of the determined target parameter data in the high firing ignition reliability firearm manufacturing process are improved, and the reliability of firearm firing ignition is improved.

[0046] Next, steps S101 to S104 are described in detail.

[0047] In step S101, a key influence parameter of firearm firing ignition reliability is acquired.

[0048] In an example embodiment of the present disclosure, the firearm firing ignition reliability refers to the success probability of the firearm successfully completing the firearm firing ignition process within a specified time, which is referred to as the firearm firing ignition reliability when measured in probability. For example, the firearm firing ignition reliability can be expressed in fractions, percentages, decimals, and the like, and the present example embodiment does not particularly limit the expression of the firearm firing ignition reliability.

[0049] The key influence parameter refers to a parameter selected from all influence parameter values affecting the firearm firing ignition reliability, which has a key influence on the firearm firing ignition reliability. For example, the key influence parameter can be the lockout interval, the primer case thickness, the firing pin protrusion, the primer cup head diameter, the firing pin head diameter, the primer seating depth, the primer cup height, the flash hole diameter, and the like, and the present example embodiment does not particularly limit the selection of the key influence parameter.

[0050] The predetermined key influence parameter can be input by a person or obtained from pre-stored information in a database, and the present example embodiment does not particularly limit the acquisition method of the predetermined key influence parameter of the firearm firing ignition reliability.

[0051] By obtaining the predetermined key influence parameter and excluding the remaining influence parameters that have less influence on the firearm firing ignition reliability, the firearm firing ignition reliability can be more easily changed by adjusting the key influence parameter, so that the subsequently generated firearm firing ignition structure parameters can be more effective.

[0052] In step S102, a control variable analysis is performed on the firearm firing ignition reliability based on the key influence parameter, and a sample database is obtained.

[0053] In an example embodiment of the present disclosure, the control variable analysis refers to changing the experimental results by controlling the change of some variables to observe the influence trend of the variables on the experimental results while keeping the remaining influence factors unchanged. For example, one variable can be controlled to analyze the experimental results, two variables can be controlled to analyze the experimental results, and three or more variables can be controlled to analyze the experimental results, and the present example embodiment does not particularly limit the number of variables in the control variable analysis.

[0054] The sample database refers to a database storing a large number of samples, which can be used for data analysis to generate experimental results. For example, the sample database can store parameter values, reliability corresponding to the parameter values, data tolerances, mean values, standard deviations, and the like. The present example embodiment does not particularly limit the types of data stored in the sample database.

[0055] The values of the parameters can be controlled for control variable analysis to generate a corresponding sample database. The standard deviation values of the parameters can be controlled for control variable analysis to generate a corresponding sample database. Of course, the mean values, tolerances, and the like of the parameters can be controlled for control variable analysis to generate a corresponding sample database. The present example embodiment does not particularly limit the control objects in the sample database obtained by control variable analysis.

[0056] By analyzing the key influence parameters by the control variable method, the influence of the corresponding key influence parameters on the firearm firing ignition reliability under various values can be collected, thereby increasing the number of samples in the sample database, and the influence law of the sample data on the firearm firing ignition reliability can be summarized, which is helpful for the establishment of a model for generating the firearm firing ignition structure parameters and improves the accuracy, effectiveness, and applicability of the firearm firing ignition structure parameters.

[0057] In step S103, the firearm firing ignition reliability influence relationship model is fitted according to the sample database.

[0058] In an example embodiment of the present disclosure, the firearm firing ignition reliability influence relationship model refers to a mathematical model representing the relationship between the firearm firing ignition reliability and variables influencing the change thereof. For example, the firearm firing ignition reliability influence relationship model can be a differential equation model, a statistical regression model, or the like. The present example embodiment does not particularly limit the specific form of the firearm firing ignition reliability influence relationship model.

[0059] The applicable firearm firing ignition reliability influence relationship model can be gradually trained by the data in the sample database. Alternatively, an applicable model can be trained according to a selected applicable surrogate model. The present example embodiment does not particularly limit the generation method of the firearm firing ignition reliability influence relationship model.

[0060] The firearm firing ignition reliability influence relationship model is fitted and generated by the sample database, so that when the firearm firing ignition reliability is to be changed in the future, the generated model can be directly used to complete the generation of the structure parameters, which facilitates the subsequent calculation process and ensures the accuracy, stability, and effectiveness of the structure parameters generated by the subsequent model.

[0061] At step S104, a firearm firing ignition reliability expectation value is acquired, and a target firearm firing ignition structure parameter is determined based on the reliability influence relationship model and the firearm firing ignition reliability expectation value, so as to control the reliability of firearm firing ignition by the target firearm firing ignition structure parameter.

[0062] In an example embodiment of the present disclosure, the firearm firing ignition reliability expectation value refers to an amplitude of improvement based on an original reliability expectation. For example, the firearm firing ignition reliability expectation value can be 10%, or 30%, 20%, or other values, and the example embodiment does not particularly limit the specific value of the firearm firing ignition reliability expectation.

[0063] The target firearm firing ignition structure parameter refers to a design parameter used in the design of the firearm firing ignition structure, so that the firing ignition reliability of the manufactured firearm can reach the expectation value. For example, the target firearm firing ignition structure parameter can be a tolerance, or an optimal value of the design parameter, and the example embodiment does not particularly limit the content and form of the design parameter.

[0064] The firearm firing ignition reliability expectation value can be substituted into the relationship model, and the target structure parameter after optimization can be generated by calculating the target mean value, standard deviation, and tolerance.

[0065] The target structure parameter generated based on the reliability influence relationship model and the reliability expectation value can be more effective and more suitable for the applied firearm, and improves the stability and effectiveness of the target structure parameter.

[0066] The technical solutions involved in steps S101 to S104 are explained in detail below.

[0067] In an example embodiment of the present disclosure, step S101 can be implemented by the following steps:

[0068] The key influence parameters are determined based on the failure mode influence and hazard analysis data, the typical fault tree, and the fault tree qualitative analysis data, wherein the key influence parameters include the lock gap, the primer shell thickness, the firing pin protrusion, the firing platform head diameter, the firing pin head diameter, the primer loading depth, the powder surface height, and the transfer hole diameter.

[0069] The typical fault tree is a model representing the typical fault cause-effect relationship of equipment, and is used to analyze the undesirable state. For example, the tree can be built by manually analyzing the fault, or can be automatically built by a computer, or can be built by a combination of man and machine, or can be built by a block diagram method, and the example embodiment does not limit the building method of the typical fault tree.

[0070] The qualitative analysis of the fault tree is a process of finding the cause time of the top event and the combination of the cause time, discovering potential faults and weak links in the design, and improving the design, use and maintenance according to the generated fault tree.

[0071] The key impact parameters determined in the example embodiment include the locking gap, the thickness of the primer shell, the protrusion amount of the firing pin, the head diameter of the firing platform, the head diameter of the firing pin, the primer loading depth, the powder surface height and the transfer hole diameter.

[0072] The example embodiment is also applicable to the Berdan primer, as shown in FIG. 3. Figure 2 FIG. 4 shows a structural schematic diagram of the Berdan primer, which includes a priming hole 201, an encapsulation 202, a primer cup 203, a primer anvil 204 and a priming agent 205.

[0073] The qualitative analysis of the typical fault tree removes the parameters with small optimization potential, i.e., the parameters with small influence on the firearm failure, so that it is easier to achieve the expected value of the firearm firing ignition reliability by optimizing the remaining parameters with large optimization potential, and the generated target firearm firing ignition structure parameters can improve the firearm firing ignition reliability.

[0074] In an example embodiment of the present disclosure, the step S102 can be implemented by the following steps:

[0075] In the case where the remaining key impact parameters remain unchanged and under the same firing environment, the normal distribution mean and standard deviation of a single key impact parameter are adjusted to change the tolerance range of the key impact parameter according to a preset step size, to obtain the sample firearm firing ignition reliability corresponding to each tolerance range, and based on the sample firearm firing ignition reliability corresponding to each tolerance range, a single impact parameter sample database is obtained; in the case where the remaining key impact parameters remain unchanged and under the same firing environment, the normal distribution mean and standard deviation of at least two key impact parameters are adjusted to change the tolerance range of the key impact parameters according to a preset step size, to obtain the sample firearm firing ignition reliability corresponding to each tolerance range, and based on the sample firearm firing ignition reliability corresponding to each tolerance range, a multi-impact parameter sample database is obtained.

[0076] The sample database includes the single impact parameter sample database and the multi-impact parameter sample database.

[0077] The firing environment refers to the environment and firing conditions in the firearm firing process. For example, the firing environment can be a room temperature environment, a drop hammer mass of 250g and a drop hammer height of 160mm, and of course, it can also be any other environment and firing condition combination, and the specific setting values of the firing environment are not particularly limited in the example embodiment.

[0078] The step length refers to the change amplitude of the tolerance each time it changes. For example, the step length can be preset as 5%, or 10%, 15%, or other values. The preset value of the step length is not particularly limited in the example embodiment.

[0079] For example, the environment is set to a room temperature environment, the drop hammer mass is set to 250g, and the drop hammer height is set to 160mm, that is, the firing energy is ensured to be 0.392J, while other factors remain unchanged. The step length is set to 5%, and the tolerance range is attenuated by 5% through the control variable method. The firing ignition reliability corresponding to the same tolerance range size and different upper and lower limits of the tolerance is obtained, and the different tolerances and corresponding firing ignition reliabilities are added to the sample database.

[0080] Optionally, when facing the establishment of a multi-parameter sample database, to avoid excessive aggregation of data in the established sample database, the generated sample database can be resampled through Latin hypercube sampling to generate a new sample database as the basis of a subsequent reliability influence relationship model. The specific steps are as shown in Figure 3 The sample data intervals of the two parameters are divided into the same number, and a point is randomly extracted in each sample interval. Finally, the points extracted from each interval of the two parameters are combined to generate a new sample database 301. The number of divisions of the sample data interval is not particularly limited.

[0081] The firing ignition reliability of different tolerances under the same firing environment is calculated through the control variable method, a single-parameter corresponding sample database and a multi-parameter sample database are generated, and the uniformity and accuracy of the sample database are ensured.

[0082] In an example embodiment of the present disclosure, step S103 can also be implemented through the following steps, as shown in Figure 3

[0083] The gun firing ignition reliability influence relationship model under a single influence parameter is fitted according to the single-influence-parameter sample database, and the gun firing ignition reliability influence relationship model under multiple influence parameters is fitted according to the multi-influence-parameter sample database.

[0084] Optionally, a proxy model can be used to train the gun firing ignition reliability influence relationship model under multiple influence parameters.

[0085] For example, as shown in Figure 4 ​As shown, the single-impact parameters include the firing pin head diameter 401, the firing pin protrusion 402, the lockup clearance 403, the primer seating depth 404, the land height 405, the primer cup thickness 406, the anvil head diameter 407, and the flash hole diameter 408. The multi-impact parameters include the firing pin protrusion 402 and the anvil head diameter 407, the firing pin protrusion 402 and the land height 405, the firing pin protrusion 402 and the flash hole diameter 408, the land height 405 and the anvil head diameter 407, the flash hole diameter 408 and the anvil head diameter 407, and the land height 405 and the flash hole diameter 408.

[0086] For fitting the gun firing ignition reliability influence relationship model under the impact parameter and the gun firing ignition reliability influence relationship model under the multi-impact parameter according to the single-impact parameter sample database and the multi-impact parameter sample database respectively, there are the following examples:

[0087] Suppose that the firing environment is as follows: room temperature environment, drop hammer mass 250g, drop hammer height 160mm, that is, the firing energy is 0.392J, and the gun firing ignition reliability is 0.7 at this time.

[0088] In an embodiment, the original tolerance range of the flash hole diameter 408 is [1.08, 1.3], according to the influence law and the influence sensitivity analysis result of the flash hole diameter 408 on the firing ignition reliability, the flash hole diameter 408 is fitted to establish the firing ignition reliability influence relationship model, that is, the change relationship of the firing ignition reliability y with the mean value μ1 of the flash hole diameter 408 is as follows:

[0089]

[0090] In an embodiment, the original tolerance range of the firing pin protrusion 402 is [1.15, 1.28], according to the influence law and the influence sensitivity analysis result of the firing pin protrusion 402 on the firing ignition reliability, the firing pin protrusion 402 is fitted to establish the firing ignition reliability influence relationship model, that is, the change relationship of the firing ignition reliability y with the mean value μ2 of the firing pin protrusion 402 is as follows:

[0091]

[0092] In an embodiment, the original tolerance range of the lockup clearance 403 is [-0.04, 0.35], according to the influence law and the influence sensitivity analysis result of the lockup clearance 403 on the firing ignition reliability, the lockup clearance 403 is fitted to establish the firing ignition reliability influence relationship model, that is, the change relationship of the firing ignition reliability y with the mean value μ3 of the lockup clearance 403 is as follows:

[0093]

[0094] In an embodiment, the original tolerance range of the height of the primer surface 405 is [0.46, 0.66], according to the influence law of the height of the primer surface 405 on the firing ignition reliability and the influence sensitivity analysis results, the influence relationship model of the height of the primer surface 405 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ4 of the height of the primer surface 405 is:

[0095]

[0096] In an embodiment, the original tolerance range of the head diameter of the fire platform 407 is [2.1, 2.3], according to the influence law of the head diameter of the fire platform 407 on the firing ignition reliability and the influence sensitivity analysis results, the influence relationship model of the head diameter of the fire platform 407 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ5 of the head diameter of the fire platform 407 is:

[0097] y = -3.081 μ5 + 7.479

[0098] In an embodiment, the original tolerance range of the shell thickness of the primer 406 is [0.66, 0.71], according to the influence law of the shell thickness of the primer 406 on the firing ignition reliability and the influence sensitivity analysis results, the influence relationship model of the shell thickness of the primer 406 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ6 of the shell thickness of the primer 406 is:

[0099]

[0100] In an embodiment, the original tolerance range of the primer loading depth 404 is [0.09, 0.17], according to the influence law of the primer loading depth 404 on the firing ignition reliability and the influence sensitivity analysis results, the influence relationship model of the primer loading depth 404 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ7 of the primer loading depth 404 is:

[0101]

[0102] In an embodiment, the original tolerance range of the head diameter of the firing pin 401 is [1.9, 2], according to the influence law of the head diameter of the firing pin 401 on the firing ignition reliability and the influence sensitivity analysis results, the influence relationship model of the head diameter of the firing pin 401 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ8 of the head diameter of the firing pin 401 is:

[0103]

[0104] In an embodiment, the original tolerance range of the firing pin protrusion 402 is [1.15, 1.28], the original tolerance range of the primer cup diameter 406 is [1.08, 1.3], and the original tolerance range of the primer cup height 405 is [0.46, 0.66]. According to the influence law of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability, a relationship model of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability is fitted and established, that is, the change relationship of the firing reliability y with the mean value μ2 of the firing pin protrusion 402, the mean value μ1 of the primer cup diameter 406, and the mean value μ4 of the primer cup height 405 is as follows:

[0105]

[0106] In an embodiment, the original tolerance range of the firing pin protrusion 402 is [1.15, 1.28], the original tolerance range of the primer cup diameter 406 is [1.08, 1.3], and the original tolerance range of the primer cup height 405 is [0.46, 0.66]. According to the influence law of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability, a relationship model of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability is fitted and established, that is, the change relationship of the firing reliability y with the mean value μ2 of the firing pin protrusion 402, the mean value μ1 of the primer cup diameter 406, and the mean value μ4 of the primer cup height 405 is as follows:

[0107]

[0108] In an embodiment, the original tolerance range of the firing pin protrusion 402 is [1.15, 1.28], the original tolerance range of the primer cup diameter 406 is [1.08, 1.3], and the original tolerance range of the primer cup height 405 is [0.46, 0.66]. According to the influence law of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability, a relationship model of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability is fitted and established, that is, the change relationship of the firing reliability y with the mean value μ2 of the firing pin protrusion 402, the mean value μ1 of the primer cup diameter 406, and the mean value μ4 of the primer cup height 405 is as follows:

[0109]

[0110] In an embodiment, the original tolerance range of the firing pin protrusion 402 is [1.15, 1.28], the original tolerance range of the primer cup diameter 406 is [1.08, 1.3], and the original tolerance range of the primer cup height 405 is [0.46, 0.66]. According to the influence law of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability, a relationship model of the firing pin protrusion 402, the primer cup diameter 406, and the primer cup height 405 on the firing reliability is fitted and established, that is, the change relationship of the firing reliability y with the mean value μ2 of the firing pin protrusion 402, the mean value μ1 of the primer cup diameter 406, and the mean value μ4 of the primer cup height 405 is as follows:

[0111]

[0112] In an embodiment, the original tolerance range of the flash hole diameter 408 is [1.08, 1.3], the original tolerance range of the head diameter of the fire platform 407 is [2.1, 2.3], according to the influence law of the two-factor matching of the flash hole diameter 408 and the head diameter of the fire platform 407 on the firing ignition reliability, a two-factor matching relationship model of the flash hole diameter 408 and the head diameter of the fire platform 407 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ1 of the flash hole diameter 408 and the mean value μ5 of the head diameter of the fire platform 407 is as follows:

[0113]

[0114] In an embodiment, the original tolerance range of the powder surface height 405 is [0.46, 0.66], the original tolerance range of the flash hole diameter 408 is [1.08, 1.3], according to the influence law of the two-factor matching of the powder surface height 405 and the flash hole diameter 408 on the firing ignition reliability, a two-factor matching relationship model of the powder surface height 405 and the flash hole diameter 408 on the firing ignition reliability is fitted and established, that is, the change relationship of the firing ignition reliability y with the mean value μ4 of the powder surface height 405 and the mean value μ1 of the flash hole diameter 408 is as follows:

[0115]

[0116] The firing ignition reliability influence relationship model corresponding to a single influence parameter and the firing ignition reliability influence relationship model corresponding to multiple influence parameters are generated through data fitting, which ensures the adaptability between the generated model and the problem to be solved, and improves the accuracy of the firing ignition structure parameters of the target firearm.

[0117] In an example embodiment of the present disclosure, step S104 can also be implemented by the following steps:

[0118] The expected value of the firearm firing ignition reliability is obtained, then the first mean value corresponding to a single influence parameter is determined according to the reliability influence relationship model under the single influence parameter, the tolerance data of the single influence parameter is determined according to the first mean value and the effect of the single influence parameter on reliability, the second mean value of the multiple influence parameters is determined according to the reliability influence relationship model under the multiple influence parameters, the matching tolerance data of the multiple influence parameters is determined according to the second mean value and the effect of the multiple influence parameters on reliability, and finally the tolerance data of the single influence parameter and the matching tolerance data of the multiple influence parameters are taken as the firing ignition structure parameters of the target firearm.

[0119] The second mean value refers to a set of mean values of each influence parameter under the condition of multiple influence parameters, and the number thereof is equal to the number of parameters of the multiple influence parameters.

[0120] The tolerance data refers to a set of parameter tolerance data of each influence parameter in the multiple influence parameters.

[0121] Wherein, the effect of the influence parameter is that when the influence parameter becomes larger, it has a positive effect or a negative effect on the firing reliability of the firearm, when it has a positive effect, the lower limit of the tolerance band is moved up, and when it has a negative effect, the upper limit of the tolerance band is moved down.

[0122] By obtaining the expected value of the firing reliability of the firearm, determining the single-influence-parameter tolerance data and the multi-influence-parameter matching tolerance data, and generating the target firearm firing structure parameters, the influence factor parameters in the design and manufacture of the firearm are limited by the tolerance data, so as to ensure the high reliability of the generated firearm and bullet in the firing process, and the effectiveness of the generated target firearm firing structure parameters is improved.

[0123] In an example embodiment of the present disclosure, in combination with Figure 5 The single-influence-parameter tolerance data is determined based on the first mean value and the effect of the single influence parameter on reliability by the following steps:

[0124] In step S501, the offset direction of the single-influence-parameter tolerance band is determined according to the effect of the single-influence-parameter on reliability.

[0125] In step S502, the standard deviation corresponding to the single-influence-parameter is determined according to the offset direction of the single-influence-parameter tolerance band and the first mean value, in combination with the calculation method of the normal distribution standard deviation.

[0126] In step S503, the upper limit or lower limit of the single-influence-parameter tolerance band is contracted to determine the single-influence-parameter tolerance data according to the standard deviation corresponding to the single-influence-parameter and the offset direction of the single-influence-parameter tolerance band.

[0127] Wherein, the optimized standard deviation value can be obtained by dividing the adjusted upper limit or lower limit of the tolerance band by 3, and then the lower limit or upper limit of the other side is solved according to the standard deviation and the previously adjusted upper limit or lower limit, so as to obtain a new tolerance range, i.e. the single-influence-parameter tolerance data.

[0128] The following examples are provided:

[0129] In an embodiment, the design requirement is to improve the firing reliability of the firearm by 20%, i.e. the firing reliability y is improved to 0.84, y=0.84 is substituted into the corresponding model to obtain μ1=1.2126. Since the diameter of the flash hole 408 has a positive effect on the firing reliability, the tolerance band should be offset to the upper limit, i.e. the upper limit of the tolerance band is kept unchanged, and the standard deviation is adjusted to σ=(1.3-μ1 / 3=0.02913, then the lower limit of the tolerance is calculated to be μ1-3>=1.125, so that the tolerance range satisfying the reliability improvement requirement is [1.125, 1.3] by offsetting and contracting the tolerance band of the diameter of the flash hole 408 to the upper limit, which is reduced by 20.45% compared with the original tolerance range.

[0130] In an embodiment, with the design requirement of increasing the firing reliability of the firearm by 20%, i.e. the firing reliability y is increased to 0.84, y = 0.84 is substituted into the corresponding model to obtain μ2 = 1.2294. Since the protrusion amount 402 of the firing pin has a positive effect on the firing reliability, the tolerance band should be shifted to the upper limit, i.e. the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to be >= (1.28-μ2) / 3 = 0.01687, then the lower limit of the tolerance is calculated to be μ2-3 >= 1.179, thereby forming a tolerance range [1.179, 1.28] that meets the reliability improvement requirement through the tolerance design of shifting and shrinking the tolerance band of the protrusion amount 402 of the firing pin to the upper limit, which is reduced by 22.3% compared with the original tolerance range.

[0131] In an embodiment, with the design requirement of increasing the firing reliability of the firearm by 20%, i.e. the firing reliability y is increased to 0.84, y = 0.84 is substituted into the corresponding model to obtain μ3 = 0.0833. Since the locking gap 403 has a negative effect on the firing reliability, the tolerance band should be shifted to the lower limit, i.e. the lower limit of the tolerance is kept unchanged, and the standard deviation is adjusted to be σ = (μ3-(-0.04)) / 3 = 0.0411, then the upper limit of the tolerance is calculated to be μ3+3σ = 1.179, thereby forming a tolerance range [-0.04, 0.2066] that meets the reliability improvement requirement through the tolerance design of shifting and shrinking the tolerance band of the locking gap 403 to the lower limit, which is reduced by 36.77% compared with the original tolerance range.

[0132] In an embodiment, with the design requirement of increasing the firing reliability of the firearm by 20%, i.e. the firing reliability y is increased to 0.84, y = 0.84 is substituted into the corresponding model to obtain μ4 = 0.6. Since the height of the powder surface 405 has a positive effect on the firing reliability, the tolerance band should be shifted to the upper limit, i.e. the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to be σ = (0.66-μ4) / 3 = 0.02, then the lower limit of the tolerance is calculated to be μ4-3σ = 0.54, thereby forming a tolerance range [0.54, 0.66] that meets the reliability improvement requirement through the tolerance design of shifting and shrinking the tolerance band of the height of the powder surface 405 to the upper limit, which is reduced by 40% compared with the original tolerance range.

[0133] In an embodiment, in order to make the gun firing ignition reliability increase by 20%, i.e. the firing ignition reliability y increase to 0.84, y=0.84 is substituted into the corresponding model to obtain μ5=2.155. Since the head diameter 407 of the fire table has a negative effect on the firing ignition reliability, the tolerance band should be shifted to the lower limit of the tolerance, i.e. the lower limit of the tolerance is kept unchanged and the standard deviation is adjusted to σ=(μ5-2.1) / 3=0.0183, and then the upper limit of the tolerance is calculated to be μ5+3σ=2.21, so that the tolerance design of shifting and shrinking the tolerance band of the head diameter 407 of the fire table to the lower limit forms a tolerance range [2.1, 2.21] that meets the reliability increase requirement, which is reduced by 45% compared with the original tolerance range.

[0134] In an embodiment, in order to make the gun firing ignition reliability increase by 10%, i.e. the firing ignition reliability y increase to 0.77, y=0.77 is substituted into the corresponding model to obtain μ6=0.6. Since the shell thickness 406 of the primer has a negative effect on the firing ignition reliability, the tolerance band should be shifted to the lower limit of the tolerance, i.e. the lower limit of the tolerance is kept unchanged and the standard deviation is adjusted to σ=(μ6-0.66) / 3=0.005, and then the upper limit of the tolerance is calculated to be μ6+3σ=0.69, so that the tolerance design of shifting and shrinking the tolerance band of the shell thickness 406 of the primer to the lower limit forms a tolerance range [0.66, 0.69] that meets the reliability increase requirement, which is reduced by 40% compared with the original tolerance range.

[0135] In an embodiment, in order to make the gun firing ignition reliability increase by 10%, i.e. the firing ignition reliability y increase to 0.77, y=0.77 is substituted into the corresponding model to obtain μ7=0.1513. Since the primer loading depth 404 has a positive effect on the firing ignition reliability, the tolerance band should be shifted to the upper limit of the tolerance, i.e. the upper limit of the tolerance is kept unchanged and the standard deviation is adjusted to σ=(0.17-μ7) / 3=0.00623, and then the lower limit of the tolerance is calculated to be μ7-3σ=0.1326, so that the tolerance design of shifting and shrinking the tolerance band of the primer loading depth 404 to the upper limit forms a tolerance range [0.133, 0.17] that meets the reliability increase requirement, which is reduced by 53.75% compared with the original tolerance range.

[0136] In an embodiment, the design requirement is that the firing ignition reliability of the firearm is increased by 5%, i.e., the firing ignition reliability y is increased to 0.735, y=0.735 can be substituted into the corresponding model to obtain μ8=1.9736. Since the diameter 401 of the head of the firing pin has a positive effect on the firing ignition reliability, the tolerance band of the diameter 401 of the head of the firing pin should be shifted to the upper limit of the tolerance, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(2-μ8) / 3=0.0088, and then the lower limit of the tolerance is calculated as μ8-3σ=1.947, so that the tolerance design of shifting the tolerance band of the diameter 401 of the head of the firing pin to the upper limit and narrowing the tolerance band is formed, and the tolerance range satisfying the reliability increase requirement is [1.947, 2], which is reduced by 47% compared with the original tolerance range.

[0137] In an example embodiment of the present disclosure, in combination with Figure 6 The matching tolerance data of the multiple influence parameters is determined based on the second mean value and the effect of the multiple influence parameters on reliability by the following steps:

[0138] In step S601, the shift direction of the tolerance band of the multiple influence parameters is determined according to the effect of the multiple influence parameters on reliability.

[0139] In step S602, the standard deviation corresponding to the multiple influence parameters is determined according to the shift direction of the tolerance band of the multiple influence parameters and the second mean value in combination with the calculation method of the standard deviation of the normal distribution.

[0140] In step S603, the upper limit or lower limit of the tolerance band of the multiple influence parameters is narrowed to determine the matching tolerance data of the multiple influence parameters according to the standard deviation corresponding to the multiple influence parameters and the shift direction of the tolerance band of the multiple influence parameters.

[0141] The specific implementation of this step is similar to the implementation of steps 501, 502, and 503, and will not be repeated again.

[0142] Based on the second mean value and the effect of the multiple influence parameters on reliability, the matching tolerance data of the multiple influence parameters is determined as follows:

[0143] In one embodiment, the design requirement is to improve the firearm's firing reliability by 20%, that is, to increase the firing reliability y to 0.84. Substituting y = 0.84 into the corresponding model yields a set of solutions: μ2 = 1.23 and μ5 = 2.1769. Because firing pin protrusion 402 has a positive effect on firing reliability, its tolerance band should be shifted toward the upper tolerance limit. That is, while keeping the upper tolerance limit unchanged, the standard deviation is adjusted to σ = (1.28 - μ2) / 3 = 0.01667. The calculated lower tolerance limit is μ2 - 3σ = 1.18. The firing pin head diameter 407 has a negative effect on firing reliability. Its tolerance band should be shifted toward the lower tolerance limit. That is, while keeping the lower tolerance limit unchanged, the standard deviation is adjusted to σ = (μ5 - 2.1) / 3 = 0.02563. The calculated lower tolerance limit is μ5 + 3σ = 2.2538. Therefore, by designing the tolerance band of the firing pin protrusion amount 402 to be offset toward the upper limit and the tolerance band of the firing block head diameter 407 to be offset toward the lower limit, the firing pin protrusion amount 402 tolerance range that meets the reliability improvement requirements is [1.18, 1.28], which is 23.08% smaller than the original tolerance range, and the firing block head diameter 407 tolerance range is [2.1, 2.25], which is 25% smaller than the original tolerance range.

[0144] In one embodiment, the design requirement is to improve the firearm's firing reliability by 20%, that is, to increase the firing reliability y to 0.84. Substituting y = 0.84 into the corresponding model yields a set of solutions: μ2 = 1.22 and μ4 = 0.61. Because firing pin protrusion 402 has a positive effect on firing reliability, its tolerance band should be shifted toward the upper tolerance limit. That is, while keeping the upper tolerance limit unchanged, the standard deviation is adjusted to σ = (1.28 - μ2) / 3 = 0.02. The calculated lower tolerance limit is μ2 - 3σ = 1.16. Since charge height 405 has a positive effect on firing reliability, its tolerance band should be shifted toward the upper tolerance limit. That is, while keeping the upper tolerance limit unchanged, the standard deviation is adjusted to σ = (0.66 - μ4) / 3 = 0.0167. The calculated lower tolerance limit is μ4 - 3σ = 0.56. Thus, by designing the tolerance bands of the firing pin protrusion amount 402 and the charge surface height 405 to shift and shrink toward the upper limit, the firing pin protrusion amount 402 tolerance range that meets the reliability improvement requirements is [1.16, 1.28], which is 7.69% smaller than the original tolerance range, and the charge surface height 405 tolerance range is [0.56, 0.66], which is 50% smaller than the original tolerance range.

[0145] In an embodiment, in order to improve the firing ignition reliability of the firearm by 20%, i.e., to improve the firing ignition reliability y to 0.84, y=0.84 is substituted into the corresponding model to obtain a set of solutions μ2=1.23, μ1=1.21. Since the protrusion amount 402 of the firing pin has a positive effect on the firing ignition reliability, the tolerance band should be shifted to the upper limit of the tolerance, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(1.28-μ2) / 3=0.01667, and then the lower limit of the tolerance is calculated as μ2-3σ=1.18. Since the flash hole diameter 408 has a positive effect on the firing ignition reliability, the tolerance band should be shifted to the upper limit of the tolerance, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(1.3-μ1) / 3=0.03, and then the lower limit of the tolerance is calculated as μ1-3σ=1.12. Thus, by shifting the tolerance band of the protrusion amount 402 of the firing pin and the flash hole diameter 408 to the upper limit and adjusting the tolerance, the tolerance range of the protrusion amount 402 of the firing pin is [1.18, 1.28], which is reduced by 23.08% compared with the original tolerance range, and the tolerance range of the flash hole diameter 408 is [1.12, 1.3], which is reduced by 18.18% compared with the original tolerance range.

[0146] In an embodiment, in order to improve the firing ignition reliability of the firearm by 20%, i.e., to improve the firing ignition reliability y to 0.84, y=0.84 is substituted into the corresponding model to obtain a set of solutions μ4=0.5766, μ5=2.16. Since the height of the powder surface 405 has a positive effect on the firing ignition reliability, the tolerance band should be shifted to the upper limit of the tolerance, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(0.66-μ4) / 3=0.0278, and then the lower limit of the tolerance is calculated as μ4-3σ=0.4932. Since the head diameter 407 of the firing platform has a negative effect on the firing ignition reliability, the tolerance band should be shifted to the lower limit of the tolerance, i.e., the lower limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(μ5-2.1) / 3=0.02, and then the lower limit of the tolerance is calculated as μ5+3σ=2.22. Thus, by shifting the tolerance band of the height of the powder surface 405 to the upper limit and shifting the tolerance band of the head diameter 407 of the firing platform to the lower limit, the tolerance range of the height of the powder surface 405 is [0.49, 0.66], which is reduced by 15% compared with the original tolerance range, and the tolerance range of the head diameter 407 of the firing platform is [2.1, 2.22], which is reduced by 40% compared with the original tolerance range.

[0147] In an embodiment, in order to improve the ignition reliability of the firearm by 20%, i.e., the ignition reliability y is improved to 0.84, y=0.84 is substituted into the corresponding model to obtain a set of solutions μ1=1.2 and μ5=2.18. Since the diameter 408 of the flash hole has a positive effect on the ignition reliability, the tolerance band should be shifted to the upper limit, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(1.3-μ1) / 3=0.0333, and then the lower limit of the tolerance is calculated as μ1-3σ=1.1. Since the diameter 407 of the head of the firing platform has a negative effect on the ignition reliability, the tolerance band should be shifted to the lower limit, i.e., the lower limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(μ5-2.1) / 3=0.0267, and then the lower limit of the tolerance is calculated as μ5+3σ=2.26. Thus, by shifting the tolerance band of the diameter 408 of the flash hole to the upper limit and shifting the tolerance band of the diameter 407 of the head of the firing platform to the lower limit, the tolerance range of the diameter 408 of the flash hole that satisfies the reliability improvement requirement is [1.1, 1.3], which is reduced by 9.09% compared to the original tolerance range, and the tolerance range of the diameter 407 of the head of the firing platform is [2.1, 2.26], which is reduced by 20% compared to the original tolerance range.

[0148] In an embodiment, in order to improve the ignition reliability of the firearm by 20%, i.e., the ignition reliability y is improved to 0.84, y=0.84 is substituted into the corresponding model to obtain a set of solutions μ4=0.58 and μ1=1.1945. Since the height 405 of the powder surface has a positive effect on the ignition reliability, the tolerance band should be shifted to the upper limit, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(0.66-μ4) / 3=0.0267, and then the lower limit of the tolerance is calculated as μ4-3σ=0.5. Since the diameter 408 of the flash hole has a positive effect on the ignition reliability, the tolerance band should be shifted to the upper limit, i.e., the upper limit of the tolerance is kept unchanged, and the standard deviation is adjusted to σ=(1.3-μ1) / 3=0.03517, and then the lower limit of the tolerance is calculated as μ1-3σ=1.09. Thus, by shifting the tolerance band of the height 405 of the powder surface and the diameter 408 of the flash hole to the upper limit and shrinking, the tolerance range of the height 405 of the powder surface that satisfies the reliability improvement requirement is [0.5, 0.66], which is reduced by 20% compared to the original tolerance range, and the tolerance range of the diameter is [1.09, 1.3], which is reduced by 4.55% compared to the original tolerance range.

[0149] Alternatively, the tolerance range modification value and the corresponding reliability expectation value of the single or multiple influence parameters can be added to the sampling point set to generate a new sampling point set, and then the reliability influence relationship model is reconstructed to generate a new reliability influence relationship model. The reliability expectation value is substituted into the model to generate a new tolerance range modification value, and the step is repeated to guide the optimization of the generated reliability influence relationship model.

[0150] In an example embodiment of the present disclosure, the effect of a single impact parameter on reliability can be determined by the following steps, and the offset direction of the upper or lower limit of the single impact parameter tolerance can be determined:

[0151] According to the positive effect of a single impact parameter on reliability, the offset direction of the upper or lower limit of the single impact parameter tolerance is determined; according to the negative effect of a single impact parameter on reliability, the offset direction of the upper or lower limit of the single impact parameter tolerance is determined.

[0152] Wherein, when a single impact parameter has a positive effect on reliability, the corresponding lower limit of the tolerance should be offset upwards; when a single impact parameter has a negative effect on reliability, the corresponding upper limit of the tolerance should be offset downwards.

[0153] For example, for a Berdan primer, the primer hole diameter 408, the firing pin protrusion 402, the powder surface height 405, the primer loading depth 404, and the firing pin head diameter 401 have a positive effect on the firearm firing ignition reliability, and the corresponding lower limit of the tolerance should be offset to the upper limit of the tolerance range; the lock gap 403, the firing pad head diameter 407, and the primer shell thickness 406 have a negative effect on the firearm firing ignition reliability, and the corresponding upper limit of the tolerance should be offset to the lower limit of the tolerance range.

[0154] In an example embodiment of the present disclosure, a preset proxy model can be obtained, and a firearm firing ignition reliability impact relationship model can be fitted according to the sample database through the preset proxy model.

[0155] Wherein, the proxy model includes a polynomial response surface model, a Kriging model, a support vector machine model, and an artificial neural network model.

[0156] In an example embodiment of the present disclosure, the multiple impact parameters include the firing pin protrusion 402 and the firing pad head diameter 407, the firing pin protrusion 402 and the powder surface height 405, the firing pin protrusion 402 and the primer hole diameter 408, the powder surface height 405 and the firing pad head diameter 407, the primer hole diameter 408 and the firing pad head diameter 407, and the powder surface height and the primer hole diameter 408.

[0157] Next, referring to Figure 7 The firearm firing ignition reliability control device of the example embodiment of the present disclosure is introduced.

[0158] As Figure 7 shown, the firearm firing ignition reliability control device can include an impact parameter acquisition module 701, a sample database establishment module 702, a model establishment module 703, and a structure parameter determination module 704. Wherein:

[0159] The impact parameter acquisition module 701 is configured to acquire the key impact parameters of the firearm firing ignition reliability determined in advance.

[0160] The sample database establishing module 702 is configured to perform a control variable analysis on the firearm firing ignition reliability based on the key influence parameters to obtain a sample database.

[0161] The model establishing module 703 is configured to fit a firearm firing ignition reliability influence relationship model according to the sample database.

[0162] The structure parameter determining module 704 is configured to obtain a firearm firing ignition reliability expectation value, and determine a target firearm firing ignition structure parameter based on the reliability influence relationship model and the firearm firing ignition reliability expectation value.

[0163] In an example embodiment of the present disclosure, the influence parameter obtaining module 701 is configured to:

[0164] determine the key influence parameters based on typical fault trees and fault tree qualitative analysis data through failure mode, effects and criticality analysis data;

[0165] The key influence parameters include a lock gap 403, a primer shell thickness 406, a firing pin protrusion amount 402, a firing platform head diameter 407, a firing pin head diameter 401, a primer loading depth 404, a powder surface height, and a flash hole diameter 408.

[0166] In an example embodiment of the present disclosure, the sample database establishing module 702 is configured to:

[0167] by adjusting the normal distribution mean and standard deviation of a single key influence parameter, the tolerance range of the key influence parameter is changed according to a preset step length, the sample firearm firing ignition reliability corresponding to each tolerance range is obtained, and a single-influence-parameter sample database is obtained based on the sample firearm firing ignition reliability corresponding to each tolerance range, under the condition that the remaining key influence parameters are unchanged and in the same firing environment.

[0168] by adjusting the normal distribution mean and standard deviation of at least two key influence parameters, the tolerance range of the key influence parameters is changed according to a preset step length, the sample firearm firing ignition reliability corresponding to each tolerance range is obtained, and a multi-influence-parameter sample database is obtained based on the sample firearm firing ignition reliability corresponding to each tolerance range, under the condition that the remaining key influence parameters are unchanged and in the same firing environment.

[0169] In an example embodiment of the present disclosure, the model establishing module 703 is configured to:

[0170] fit a firearm firing ignition reliability influence relationship model under a single-influence-parameter condition according to the single-influence-parameter sample database;

[0171] fit a firearm firing ignition reliability influence relationship model under a multi-influence-parameter condition according to the multi-influence-parameter sample database.

[0172] In an example embodiment of the present disclosure, the structure parameter determination module 704 is configured to:

[0173] obtain a gun firing ignition reliability expectation value;

[0174] determine a first mean value corresponding to the single impact parameter according to the reliability impact relationship model under the single impact parameter and the gun firing ignition reliability expectation value;

[0175] determine a second mean value of the multiple impact parameters according to the reliability impact relationship model under the multiple impact parameters and the gun firing ignition reliability expectation value;

[0176] determine single impact parameter tolerance data based on the first mean value and the effect of the single impact parameter on reliability, and determine multiple impact parameter matching tolerance data based on the second mean value and the effect of the multiple impact parameters on reliability, and take the single impact parameter tolerance data and the multiple impact parameter matching tolerance data as the target gun firing ignition structure parameters.

[0177] In an example embodiment of the present disclosure, the structure parameter determination module 704 is configured to:

[0178] determine the offset direction of the single impact parameter tolerance band according to the effect of the single impact parameter on reliability;

[0179] determine the standard deviation corresponding to the single impact parameter according to the offset direction of the single impact parameter tolerance band and the first mean value, in combination with the calculation method of the standard deviation of the normal distribution;

[0180] determine the single impact parameter tolerance data by contracting the upper limit or lower limit of the single impact parameter tolerance band according to the standard deviation corresponding to the single impact parameter and the offset direction of the single impact parameter tolerance band.

[0181] In an example embodiment of the present disclosure, the structure parameter determination module 704 is configured to:

[0182] determine the offset direction of the multiple impact parameter tolerance band according to the effect of the multiple impact parameters on reliability;

[0183] determine the standard deviation corresponding to the multiple impact parameters according to the offset direction of the multiple impact parameter tolerance band and the second mean value, in combination with the calculation method of the standard deviation of the normal distribution;

[0184] determine the multiple impact parameter matching tolerance data by contracting the upper limit or lower limit of the multiple impact parameter tolerance band according to the standard deviation corresponding to the multiple impact parameters and the offset direction of the multiple impact parameter tolerance band.

[0185] In an example embodiment of the present disclosure, the parameter generation module 704 is configured to:

[0186] According to the positive effect of the single influencing parameter on reliability, determine the offset direction of the upper or lower limit of the tolerance of the single influencing parameter;

[0187] According to the negative effect of the single influencing parameter on reliability, the offset direction of the upper or lower limit of the single influencing parameter tolerance is determined.

[0188] In an exemplary embodiment of the present disclosure, the model building module 703 is configured to:

[0189] Obtaining a preset proxy model, and fitting the preset proxy model to obtain a firearm firing reliability influence relationship model based on the sample database;

[0190] Among them, the agent models include polynomial response surface model, Kriging model, support vector machine model, and artificial neural network model.

[0191] In an exemplary embodiment of the present disclosure, the influencing parameter acquisition module 701 is configured to:

[0192] The multiple influencing parameters include the firing pin protrusion 402 and the firing base head diameter 407, the firing pin protrusion 402 and the propellant surface height 405, the firing pin protrusion 402 and the fire transfer hole diameter 408, the propellant surface height 405 and the firing base head diameter 407, the fire transfer hole diameter 408 and the firing base head diameter 407, the propellant surface height 405 and the fire transfer hole diameter 408.

[0193] The firearm firing reliability control device disclosed in the present invention can be applied to computer equipment, such as servers or terminal equipment. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, it is formed by the processor of the file processing where it is located reading the corresponding computer program instructions in the non-volatile memory into the memory and running it. From the hardware level, if Figure 8 The figure shows a hardware structure diagram of the computer device where the firearm firing reliability control device of the embodiment of the disclosure is located. Figure 8 In addition to the processor 810, memory 830, network interface 820, and non-volatile memory 840 shown, the server or electronic device where the firearm firing reliability control device 831 is located in the embodiment may also include other hardware, usually according to the actual function of the computer device, which will not be described in detail.

[0194] like Figure 9The example implementation process of an embodiment is shown, first, the key influencing factors of the firearm firing ignition reliability are determined, then the mean and standard deviation of single and multiple influencing factors are adjusted to generate a firearm firing ignition reliability analysis model, according to the analysis model, a single-influencing-factor firing ignition reliability sample database and a multiple-influencing-factor firing ignition reliability sample database are generated, then a single-influencing-factor firearm firing ignition reliability influence relationship model and a multiple-influencing-factor firearm firing ignition reliability influence relationship model are generated through data fitting, finally, the expected value of the firing ignition reliability is substituted into the model to determine the target firearm firing ignition structure parameters of single and multiple influencing factors, so that the reliability of the generated firearm can reach the expected value.

[0195] The implementation process of the functions and roles of each module in the above device is specifically described in the implementation process of the corresponding steps in the above method, and will not be described here.

[0196] For the device embodiment, since it basically corresponds to the method embodiment, the relevant part can be referred to the part of the method embodiment. The device embodiment described above is only illustrative, and the modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical modules, that is, they can be located in one place or distributed on multiple network modules. According to the actual needs, some or all of the modules can be selected to achieve the purpose of the present disclosure. Those skilled in the art can understand and implement without creative labor.

[0197] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order other than that described in the embodiments and still achieve desirable results. In addition, the processes depicted in the figures do not necessarily require the particular order shown or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing can be advantageous or possible.

[0198] Other embodiments of the present disclosure will be apparent to those skilled in the art upon consideration of the specification and practice of the application disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure following, in general, the principles of the present disclosure and including such departures from the present disclosure that come within known or customary practice in the art to which the present disclosure pertains. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0199] It is to be understood that the present disclosure is not limited to the precise construction herein described and as shown in the drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope thereof. The scope of the present disclosure is limited only by the claims appended hereto.

[0200] The above description is merely the preferred embodiment of this disclosure and is not intended to limit its scope. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this disclosure should be included in the scope of this disclosure.

Claims

1. A firearm firing reliability control method, characterized in that: The following steps are involved: Step S101, obtaining predetermined key influencing parameters of firearm firing reliability; Step S102, performing control variable analysis on the firearm firing reliability based on the key influencing parameters to obtain a sample database; the sample database includes a single influencing parameter sample database and a multi-influencing parameter sample database; Step S103, obtaining the firearm firing reliability influence relationship model by fitting according to the sample database; the firearm firing reliability influence relationship model includes a firearm firing reliability influence relationship model under a single influencing parameter and a firearm firing reliability influence relationship model under multiple influencing parameters; Step S104, obtaining an expected value of firearm firing reliability, and determining target firearm firing structure parameters based on the reliability influence relationship model and the expected value of firearm firing reliability, so as to control the reliability of firearm firing by the target firearm firing structure parameters; The step S103 includes: fitting a firearm firing reliability influence relationship model under a single influencing parameter according to the single influencing parameter sample database; fitting a firearm firing reliability influence relationship model under multiple influencing parameters according to the multiple influencing parameter sample database; The step S104 of obtaining the expected value of the firearm firing reliability and generating the target firearm firing structure parameters based on the reliability influence relationship model and the expected value of the firearm firing reliability includes: obtaining the expected value of the firearm firing reliability; determining a first mean value corresponding to the single influencing parameter according to the firearm firing reliability influence relationship model and the expected value of the firearm firing reliability under the single influencing parameter; determining a second mean value of the multiple influencing parameters according to the firearm firing reliability influence relationship model and the expected value of the firearm firing reliability under the multiple influencing parameters; determining single influencing parameter tolerance data based on the first mean value and the effect of the single influencing parameter on reliability, and determining multiple influencing parameter matching tolerance data based on the second mean value and the effect of the multiple influencing parameters on reliability, and using the single influencing parameter tolerance data and the multiple influencing parameter matching tolerance data as the target firearm firing structure parameters; The method of determining the single influence parameter tolerance data based on the first mean and the effect of the single influence parameter on reliability includes: determining the offset direction of the single influence parameter tolerance band according to the effect of the single influence parameter on reliability; determining the standard deviation corresponding to the single influence parameter according to the offset direction of the single influence parameter tolerance band and the first mean, combined with the calculation method of the standard deviation of the normal distribution; and shrinking the upper limit or lower limit of the single influence parameter tolerance band to determine the single influence parameter tolerance data according to the standard deviation corresponding to the single influence parameter and the offset direction of the single influence parameter tolerance band.

2. The firearm firing reliability control method according to claim 1, characterized in that: The step S101 includes: Determine key influencing parameters through failure mode effect and criticality analysis data, typical fault tree and fault tree qualitative analysis data; Among them, the key influencing parameters include locking gap, primer shell thickness, firing pin protrusion, firing platform head diameter, firing pin head diameter, primer loading depth, powder surface height and fire transfer hole diameter.

3. The firearm firing reliability control method according to claim 1, characterized in that: The step S102 includes: While ensuring that the other key influencing parameters remain unchanged and under the same firing environment, by adjusting the normal distribution mean and standard deviation of a single key influencing parameter, the tolerance range of the key influencing parameter is changed according to a preset step size, and the firing reliability of sample firearms corresponding to each tolerance range is obtained. Based on the firing reliability of sample firearms corresponding to each tolerance range, a single influencing parameter sample database is obtained; While ensuring that the other key influencing parameters remain unchanged and are in the same firing environment, by adjusting the normal distribution mean and standard deviation of at least two key influencing parameters, the tolerance range of the key influencing parameters changes according to the preset step size, and the sample firearm firing reliability corresponding to each tolerance range is obtained, and a multi-influencing parameter sample database is obtained based on the sample firearm firing reliability corresponding to each tolerance range.

4. The firearm firing reliability control method according to claim 1, characterized in that: The determining of the multi-influencing parameter matching tolerance data based on the second mean and the effects of the multi-influencing parameters on the reliability includes: Determining the offset direction of the tolerance band of the multiple influencing parameters according to the effects of the multiple influencing parameters on reliability; Determining the standard deviation corresponding to the multiple influencing parameters according to the offset direction of the multiple influencing parameter tolerance zone and the second mean value in combination with a calculation method of the normal distribution standard deviation; According to the standard deviations corresponding to the multiple influencing parameters and the offset direction of the multiple influencing parameter tolerance band, the upper limit or lower limit of the multiple influencing parameter tolerance band is contracted to determine the multiple influencing parameter matching tolerance data.

5. The firearm firing reliability control method according to claim 1, characterized in that: The effect includes a positive effect and a negative effect. The determining of the offset direction of the tolerance band of the single influencing parameter according to the effect of the single influencing parameter on reliability includes: Determining the offset direction of the upper or lower limit of the tolerance of the single influencing parameter according to the positive effect of the single influencing parameter on reliability; According to the negative effect of the single influencing parameter on reliability, the offset direction of the upper limit or lower limit of the tolerance of the single influencing parameter is determined.

6. The firearm firing reliability control method according to claim 1, characterized in that: The step S103 includes: Obtaining a preset proxy model, and fitting the preset proxy model according to the sample database to obtain the firearm firing reliability influence relationship model; The proxy model includes at least one of a polynomial distribution fitting model, a support vector machine model, and an artificial neural network model.

7. The firearm firing reliability control method according to claim 3, characterized in that: The multiple influencing parameters include the firing pin protrusion and the diameter of the firing platform head, the firing pin protrusion and the height of the powder surface, the firing pin protrusion and the diameter of the fire transfer hole, the height of the powder surface and the diameter of the firing platform head, the diameter of the fire transfer hole and the diameter of the firing platform head, the height of the powder surface and the diameter of the fire transfer hole.

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