Bent pipe forming cracking prediction system and method and related equipment

Abstract

The invention discloses a bent pipe forming cracking prediction system and method and related equipment, and relates to the technical field of bent pipe forming, and the system comprises a pipe bending mold which is used for bending an experimental pipe until the experimental pipe cracks; the image recognition module is used for generating a cracking signal under the condition that the experimental pipe is cracked; the press machine is used for stopping running and calculating the limit bending radius of the experimental pipe according to the downward displacement under the condition that the cracking signal is received; and the prediction module is used for calculating the limit bending radius according to a machine learning algorithm to obtain a prediction result.

Description

Technical Field

[0001] The present application relates to the technical field of pipe bending forming, and particularly relates to a pipe bending forming cracking prediction system, method and related equipment. Background Art

[0002] At present, metal pipes have many applications in industries such as aerospace, automotive, and shipbuilding. According to usage requirements, people often hope to bend the pipes into certain geometric shapes, that is, the bending forming of pipes. During the bending process of pipes, many difficult-to-control forming defects often occur, affecting the quality of the bent pipes and greatly reducing the pipe bending efficiency. Among them, pipe cracking is particularly prominent.

[0003] However, in order to efficiently and qualifiedly produce the required bent pipes, it is particularly important to predict the ultimate bending radius of the pipes at the design stage. The traditional design method mainly conducts pipe bending tests through multiple pipe bending dies with different sizes, which has high test costs and low efficiency. At present, there is no appropriate method to solve the above problems. Therefore, it is necessary to propose a pipe bending forming cracking prediction system to solve at least some of the above problems. Summary of the Invention

[0004] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further described in detail in the Detailed Description section. The Summary of the Invention section of the present application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the protection scope of the claimed technical solution.

[0005] In a first aspect, an embodiment of the present application provides a pipe bending forming cracking prediction system, and the system includes:

[0006] A pipe bending die for bending an experimental pipe until the experimental pipe cracks;

[0007] An image recognition module for generating a cracking signal when the experimental pipe cracks;

[0008] A press for stopping running and calculating the ultimate bending radius of the experimental pipe according to the downward displacement when receiving the cracking signal;

[0009] A prediction module for calculating a prediction result based on a machine learning algorithm for the ultimate bending radius.

[0010] In an embodiment of the present invention, the pipe bending die includes: a pressure block, a gear transmission unit, an elbow and a clamp block;

[0011] The pressure block is fixedly connected to the gear transmission unit. When the press applies pressure to the pressure block, the pressure block drives the gear transmission unit to move downward, which is used to convert the linear motion of the experimental pipe into rotational motion. The gear transmission unit is key-connected to the elbow and is used to drive the elbow to rotate. The elbow is detachably connected to the clamping block, and the clamping block is used to fix the experimental pipe.

[0012] In an embodiment of the present invention, the elbow die further includes: a support block and a base;

[0013] The support block is movably connected to the base and is used to move the support block along the x-axis. The support block is detachably connected to the experimental pipe and is used to fix the experimental pipe. A gasket is provided between the support block and the experimental pipe, and the gasket is used to increase the friction force.

[0014] In an embodiment of the present invention, the elbow die further includes: a limit block;

[0015] One end of the limit block is detachably connected to the base, and the other end of the limit block is in clearance fit connection with the gear transmission unit and is used to limit the position of the gear transmission unit.

[0016] In an embodiment of the present invention, when receiving the cracking signal, stopping the operation and calculating the ultimate bending radius of the experimental pipe according to the downward displacement includes:

[0017] Obtaining the gear transmission ratio;

[0018] When receiving the cracking signal, the press stops running and generates a downward displacement;

[0019] Calculating according to the gear transmission ratio and the downward displacement to obtain the rotation angle of the elbow;

[0020] Calculating the rotation angle of the elbow according to the Archimedes spiral formula to obtain the ultimate bending radius.

[0021] In an embodiment of the present invention, the ultimate bending radius is expressed as:

[0022] r = a + bθ;

[0023] x = (a + bθ)cos(θ);

[0024] y = (a + bθ)sin(θ);

[0025] Wherein, a is the distance from the starting point to the origin of the polar coordinates, b is the value corresponding to the increase of r for each unit increase of the angle of the spiral, and θ is the rotation angle.

[0026] In one embodiment of the present invention, the material of the experimental pipe is steel, aluminum alloy or stainless steel.

[0027] Second, the present application proposes a method for predicting the cracking of bent pipe forming, and the method includes:

[0028] Bend the experimental pipe until the experimental pipe cracks;

[0029] When the experimental pipe cracks, generate a cracking signal;

[0030] When receiving the cracking signal, stop running and calculate the ultimate bending radius of the experimental pipe according to the downward displacement;

[0031] Calculate the prediction result according to the ultimate bending radius by a machine learning algorithm.

[0032] Third, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program stored in the memory, it implements the steps of a method for predicting the cracking of bent pipe forming as described in the second aspect above.

[0033] Fourth, the present application also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of a method for predicting the cracking of bent pipe forming as described in the second aspect.

[0034] In summary, a system for predicting the cracking of bent pipe forming according to an embodiment of the present application includes: a bent pipe die for bending the experimental pipe until the experimental pipe cracks; an image recognition module for generating a cracking signal when the experimental pipe cracks; a press for stopping running and calculating the ultimate bending radius of the experimental pipe according to the downward displacement when receiving the cracking signal; a prediction module for calculating the prediction result according to the ultimate bending radius by a machine learning algorithm. The prediction of the ultimate bending radius of the experimental pipe can be completed through the bent pipe die, and it has functions of data collection, storage and analysis. Through machine learning, the intelligent prediction of the ultimate bending radius of different experimental pipes can be realized, and the problems of high cost and long cycle of traditional bent pipe prediction methods are solved.

[0035] For the system for predicting the cracking of bent pipe forming proposed by the present application, other advantages, objectives and features of the present application will be partially reflected by the following description, and partially will be understood by those skilled in the art through the research and practice of the present application. Description of the Drawings

[0036] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the following detailed description of the preferred embodiments. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of this specification. Moreover, throughout the drawings, the same reference numerals are used to denote the same components. In the drawings:

[0037] Figure 1 FIG. is a schematic structural diagram of a bent pipe forming cracking prediction system provided by an embodiment of the present application;

[0038] Figure 2 FIG. is a schematic structural diagram of a bent pipe die in a bent pipe forming cracking prediction system provided by an embodiment of the present application;

[0039] Figure 3 FIG. is a schematic flow chart of a bent pipe forming cracking prediction method provided by an embodiment of the present application;

[0040] Figure 4 FIG. is a schematic structural diagram of a control electronic device for bent pipe forming cracking prediction provided by an embodiment of the present application;

[0041] Wherein, Figure 1 - Figure 2 The corresponding relationship between the reference numerals and the component names in the figure is as follows: 101 bent pipe die, 1011 pressure block, 1012 gear transmission unit, 1013 elbow, 1014 clamping block, 1015 support block, 1016 base, 1017 limit block, 201 image recognition module, 301 press, 401 prediction module. Detailed Embodiments

[0042] In order to better understand the technical solutions provided by the embodiments of this specification, the technical solutions of the embodiments of this specification will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the specific features in the embodiments of this specification and the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. Without conflict, the technical features in the embodiments of this specification and the embodiments can be combined with each other.

[0043] In this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element. The term "more than two" includes two or more than two cases.

[0044] Please refer to Figure 1 , which is a schematic structural diagram of a bending pipe forming cracking prediction system provided by an embodiment of the present application, and specifically may include:

[0045] A bending pipe die 101, which is used to bend the experimental pipe until the experimental pipe cracks;

[0046] An image recognition module 201, which is used to generate a cracking signal when the experimental pipe cracks;

[0047] A press 301, which is used to stop running and calculate the ultimate bending radius of the experimental pipe according to the downward displacement when receiving the cracking signal;

[0048] A prediction module 401, which is used to calculate a prediction result based on a machine learning algorithm for the ultimate bending radius.

[0049] Exemplarily, the function of the bending pipe die 101 is to perform a bending operation on the experimental pipe and continuously bend the experimental pipe until the pipe cracks. This means that the bending pipe die 101 can apply a certain force and deformation to gradually bend the pipe to simulate the bending situation in actual applications, so as to determine the performance limit of the pipe in the bent state. When the experimental pipe cracks, the image recognition module 201 generates a cracking signal. The image recognition module 201 can be a common lens device that provides images of the bending pipe process, or a digital image correlation device, such as a DIC (digital image correlation) device, or an image intelligent recognition device that can identify the bending pipe cracking image and monitor the state of the experimental pipe in real time. When it detects that the experimental pipe shows a cracking phenomenon, it immediately emits a cracking signal for the press to recognize, and this cracking signal can be recognized and responded to by other devices.

[0050] After receiving the cracking signal, the press 301 will stop running. This is to avoid applying pressure continuously when the experimental pipe has cracked, preventing unnecessary damage to the equipment and the experiment. At the same time, the press 301 calculates the ultimate bending radius of the experimental pipe according to the downward displacement. The downward displacement refers to the distance that the press 301 moves during the bending operation. Through this displacement data, the ultimate bending radius of the experimental pipe at the time of cracking can be calculated, and this radius reflects the bending performance of the pipe. The storage device collects, processes, and stores the data, and forms a bending pipe cracking prediction database. The prediction module 401 uses machine learning algorithms to calculate the ultimate bending radius and obtains the prediction result. Machine learning algorithms can learn and analyze a large amount of experimental data to establish a model to predict the ultimate bending radius of the experimental pipe under different conditions.

[0051] In summary, the bending pipe forming cracking prediction system proposed in the embodiment of the present application can complete the prediction of the ultimate bending radius of the experimental pipe through the bending pipe die 101, and has functions of data collection, storage, and analysis. Through machine learning, intelligent prediction of the ultimate bending radius of different experimental pipes can be realized, solving the problems of high cost and long cycle of traditional bending pipe prediction methods.

[0052] In some examples, the bending pipe die 101 includes: a pressure block 1011, a gear transmission unit 1012, an elbow 1013, and a clamping block 1014;

[0053] The pressure block 1011 is fixedly connected to the gear transmission unit 1012. When the press 301 pressurizes the pressure block 1011, the pressure block 1011 drives the gear transmission unit 1012 to move downward, which is used to convert the linear motion of the experimental pipe into rotational motion. The gear transmission unit 1012 is key-connected to the elbow 1013 and is used to drive the elbow 1013 to rotate. The elbow 1013 is detachably connected to the clamping block 1014, and the clamping block 1014 is used to fix the experimental pipe.

[0054] Exemplarily, such as Figure 2As shown in the figure, it is a schematic structural diagram of a bending die in a bending pipe forming cracking prediction system provided by the present application. The bending die 101 includes a pressure block 1011, a gear transmission unit 1012, an elbow 1013, and a clamping block 1014. The pressure block 1011 is fixedly connected to the gear transmission unit 1012. When the press 301 applies pressure to the pressure block 1011, the pressure block 1011 will drive the gear transmission unit 1012 to move downward. This process converts the linear force applied by the press 301 to the experimental pipe from linear motion to rotational motion. Among them, the gear transmission unit 1012 includes a rack and a gear, and the rack meshes with the gear. When the rack moves downward, due to the meshing effect, the gear starts to rotate. This process realizes the conversion from translational motion (linear motion of the rack) to rotational motion (rotational motion of the gear).

[0055] The gear transmission unit 1012 is key-connected to the elbow 1013. When the gear transmission unit 1012 moves downward or rotates, it can drive the elbow 1013 to rotate. Its function is to convert linear motion into rotational motion, providing power and angle control for bending the experimental pipe. The elbow 1013 is detachably connected to the clamping block 1014. Among them, the detachable connection can be a bolt connection, which is relatively firm and convenient for disassembly and installation. The rotation of the elbow will apply a bending force to the experimental pipe fixed on the clamping block 1014, gradually bending the pipe. The clamping block 1014 is mainly used to fix the experimental pipe, ensuring the stable position of the experimental pipe during the bending process for accurate bending operation.

[0056] In some examples, the bending die 101 further includes: a support block 1015 and a base 1016;

[0057] The support block 1015 is movably connected to the base 1016 for moving the support block 1015 along the x-axis. The support block 1015 is detachably connected to the experimental pipe for fixing the experimental pipe. A gasket is provided between the support block 1015 and the experimental pipe, and the gasket is used to increase friction.

[0058] Exemplarily, the support block 1015 is movably connected to the base 1016. Specifically, the support block 1015 is fixed to the base 1016 by bolts, which ensures the stability of the support block 1015 during use. At the same time, the bolt holes on the base 1016 connected to the support block 1015 are designed in a groove shape. This groove-shaped bolt hole enables the support block 1015 to move laterally. Since the support block 1015 can move laterally, it can be adjusted according to experimental pipes of different lengths, improving the versatility and adaptability of the equipment.

[0059] A gasket is provided between the support block 1015 and the experimental pipe. The main function of the gasket is to increase friction. Increasing friction can make the pipe more stable during the bending process and reduce the possibility of sliding and deviation. It is also possible to analyze the influence of material flow-in on the forming of the bent pipe. Specifically: During the bending process of the pipe, the flow characteristics of the material will have an important impact on the shape, quality, etc. of the bent pipe. The presence of the gasket may change the contact state between the pipe and the support block 1015, thereby affecting the flow of the material during the bending process. By observing and measuring the forming results of the bent pipe under different gasket conditions, the changes in material flow-in can be analyzed, such as the influence of changes in the flow rate, flow direction, distribution, etc. of the material on the forming parameters such as the angle, radius, wall thickness uniformity, etc. of the bent pipe. This helps to deeply understand the material behavior during the bent pipe forming process and provides a basis for optimizing the bent pipe process.

[0060] In some examples, the bent pipe die 101 further includes: a limit block 1017;

[0061] One end of the limit block 1017 is detachably connected to the base 1016, and the other end of the limit block 1017 is in clearance fit connection with the gear transmission unit 1012, and is used to limit the position of the gear transmission unit 1012.

[0062] Exemplarily, the limit block 1017 is detachably connected to the base 1016, and the detachable connection can be a bolt connection. This connection method is relatively firm and convenient for installation and disassembly. The bolt connection can ensure that the limit block 1017 maintains a stable position during use. The limit block 1017 can limit the downward movement distance of the pressure block 1011 and the press 301. During the operation of the equipment, if the pressure block 1011 and the press 301 have no limit device, they may be pressed down excessively, resulting in equipment damage. By setting the limit block 1017, the downward movement distance of the pressure block 1011 and the press 301 can be accurately controlled, avoiding damage to the equipment caused by excessive downward pressure, and improving the safety and reliability of the equipment. The other end of the limit block 1017 is in clearance fit connection with the gear transmission unit 1012 and is used to limit the position of the gear transmission unit 1012. Specifically: The limit block 1017 cooperates with the rack to play a role in limiting the position of the rack. In some equipment, the movement of the rack needs to maintain a certain degree of accuracy and stability. The limit block 1017 can ensure that the rack moves within a specific position range, preventing the rack from shifting or shaking. This can ensure that the rack moves better vertically downward, thereby better ensuring the meshing of the rack and the gear. A good meshing state is crucial for the normal operation of the equipment, which can improve the transmission efficiency, reduce wear and noise, and extend the service life of the equipment.

[0063] In some examples, when receiving the cracking signal, stopping the operation and calculating the ultimate bending radius of the experimental pipe according to the downward displacement includes:

[0064] Obtaining the gear transmission ratio;

[0065] When receiving the cracking signal, the press 301 stops running and generates a downward displacement;

[0066] Calculating according to the gear transmission ratio and the downward displacement to obtain the elbow rotation angle;

[0067] Calculating the elbow rotation angle according to the Archimedes spiral formula to obtain the ultimate bending radius.

[0068] Exemplarily, obtain the gear transmission ratio. The gear transmission ratio describes the ratio relationship between the angular velocity or linear velocity when two meshing gears rotate. When the cracking signal is detected, it indicates that the experimental pipe may have been over-bent or there are other situations leading to cracking. To avoid further damage, the press 301 immediately stops running. At the moment when the press 301 stops running, the downward displacement at this time will be recorded, which reflects the displacement generated by the press 301 applying pressure to the experimental pipe before stopping. Calculating according to the gear transmission ratio and the downward displacement to obtain the elbow rotation angle. By substituting the elbow rotation angle into the Archimedes spiral formula, the ultimate bending radius of the experimental pipe can be calculated. This ultimate bending radius represents the maximum bending degree that the experimental pipe can withstand under the current conditions. Exceeding this radius may cause the pipe to crack or be damaged.

[0069] In some examples, the ultimate bending radius is expressed as:

[0070] r = a + bθ (1);

[0071] x = (a + bθ)cos(θ) (2);

[0072] y = (a + bθ)sin(θ) (3);

[0073] Wherein, a is the distance from the starting point to the origin of the polar coordinates, b is the value corresponding to the increase of r for each unit increase of the angle of the spiral, and θ is the rotation angle.

[0074] Exemplarily, the calculation formula of the ultimate bending radius is as shown in (1) to (3). That is, as the bending angle increases, the radius of the elbow gradually decreases, and the cracking risk of the experimental pipe gradually increases. The ultimate bending radius of the experimental pipe can be predicted through the bending die 101. Among them, formula (1) is the polar coordinate equation, and formulas (2) and (3) are the plane Cartesian coordinate equations.

[0075] In some examples, the material of the experimental pipe is steel, aluminum alloy or stainless steel.

[0076] Exemplarily, the material of the experimental pipe is steel, aluminum alloy or stainless steel. Steel usually has high strength and hardness and can withstand large pressure and tensile force. The properties of different types of steel also vary. For example, low-carbon steel has good toughness, while alloy steel may have higher strength and wear resistance. Aluminum alloy has a light weight, good corrosion resistance and thermal conductivity. It is widely used in fields such as aerospace and automotive manufacturing because it can reduce the structural weight and improve energy efficiency. Stainless steel has good corrosion resistance and can be used in harsh environments. It is usually used in industries such as chemical engineering and food processing to ensure that the pipe is not corroded and affects product quality and safety.

[0077] The present invention will be described in detail below with reference to embodiments, but they should not be construed as limiting the protection scope of the present invention.

[0078] Embodiment:

[0079] Take steel experimental pipes with different strength levels to conduct tests. The basic information of one experimental pipe is as follows: the diameter of the experimental pipe is 50 mm, the thickness is 2 mm, the yield strength of the material is 420 MPa, the tensile strength is 533 MPa, the elongation is 27%, the n value is 0.12, and the r value is 0.95. Place it in the pipe bending die 101. The pressure block 1011 is fixedly connected to the gear transmission unit 1012. When the press 301 pressurizes the pressure block 1011, the pressure block 1011 drives the gear transmission unit 1012 to move downward, which is used to convert the linear motion of the experimental pipe into rotational motion. The gear transmission unit 1012 is key-connected to the elbow 1013 and is used to drive the elbow 1013 to rotate.

[0080] Specifically: The press 301 applies pressure to the pressure block 1011 to drive the rack to move downward. The rack meshes with the gear to achieve the conversion from translational motion to rotational motion. The gear drives the rotation of the elbow 1013 through key transmission. The clamping block 1014 is connected to the elbow 1013 by bolts. The clamping block 1014 can clamp the experimental pipe, and then drive the experimental pipe to bend around the elbow 1013. The radius formula of the elbow 1013 is shown in Equation (1). As the bending angle increases, the bending radius gradually decreases, and the risk of pipe cracking increases gradually during the test process. When the pipe cracks when the downward distance is 120 mm, the image recognition module 201 recognizes the cracking information and feeds it back to the press control system to stop the press 301. At this time, the length of the indexing arc of the gear rotation is 120 mm, and the radius of the gear pitch circle is 30 mm, so the rotation angle is about 135°. The calculated ultimate bending radius is 75 mm. Then, information such as the pipe bending size, material properties, and ultimate bending radius is stored in the database. Repeat the above test steps to complete the evaluation of the ultimate bending radius of experimental pipes with different strengths, and form the ultimate bending radius results of pipes with different material properties as shown in Table 1. Through neural network learning, intelligent prediction of the ultimate bending radius of pipes is achieved.

[0081]

[0082] Table 1

[0083] As Figure 3 shown, the present application proposes a method for predicting the cracking of pipe bending forming, and the method includes:

[0084] S110. Bend the experimental pipe until the experimental pipe cracks;

[0085] S120. Generate a cracking signal when the experimental pipe cracks;

[0086] S130. Stop running and calculate the ultimate bending radius of the experimental pipe according to the downward displacement when receiving the cracking signal;

[0087] S140. Calculate the prediction result according to the machine learning algorithm for the ultimate bending radius.

[0088] For the effect of the above method when applying the foregoing system, reference can be made to the description in the foregoing system embodiment, which will not be elaborated here.

[0089] As Figure 4 shown, an embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored on the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above methods for predicting the cracking of pipe bending forming are implemented.

[0090] Since the electronic device introduced in this embodiment is the device adopted for implementing a device for predicting cracking in elbow forming in an embodiment of the present application, based on the method introduced in the embodiment of the present application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the specific implementation of how this electronic device implements the method in the embodiment of the present application will not be described in detail here. As long as the device adopted by those skilled in the art to implement the method in the embodiment of the present application belongs to the scope protected by the present application.

[0091] In the specific implementation process, when the computer program 311 is executed by the processor, it can implement Figure 1 any one of the implementation manners in the corresponding embodiment.

[0092] It should be noted that in the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0093] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-readable program codes.

[0094] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0095] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions in Figure 1 one flow or multiple flows and / or blocks Figure 1The functions specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for implementing the steps of the functions specified in one Figure 1 One process or multiple processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes.

[0097] The embodiments of the present application also provide a computer program product. The computer program product includes computer software instructions. When the computer software instructions run on a processing device, the processing device is caused to execute the process of the LDPC decoding method of the solid state drive controller.

[0098] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)), etc.

[0099] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be described herein again.

[0100] In several embodiments provided by this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0101] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional unit in various embodiments of this application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0103] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of this application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, and other various media that can store program codes.

[0104] The above embodiments are only used to illustrate the technical solutions of this application, rather than to limit them; although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of various embodiments of this application.

[0105] Although the preferred embodiments of the present specification have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be interpreted to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present specification.

[0106] Obviously, those skilled in the art can make various changes and modifications to the present specification without departing from the spirit and scope of the present specification. Thus, if these modifications and variations of the present specification fall within the scope of the claims of the present specification and their equivalent technologies, the present specification is also intended to include these modifications and variations.

Claims

1. A bending pipe forming crack prediction system, characterized in that: The system comprises: A pipe bending die, wherein the pipe bending die is used to bend the experimental pipe until the experimental pipe cracks; An image recognition module, wherein the image recognition module is used to generate a cracking signal when the test pipe cracks; A press, wherein the press is used to stop running and calculate the limit bending radius of the test pipe according to the downward displacement when receiving the cracking signal; A prediction module is used to calculate the limit bending radius according to a machine learning algorithm to obtain a prediction result.

2. A bending pipe forming crack prediction system according to claim 1, characterized in that: The pipe bending die comprises: a pressure block, a gear transmission unit, an elbow and a clamping block; The pressure block is fixedly connected to the gear transmission unit. When the press machine pressurizes the pressure block, the pressure block drives the gear transmission unit downward to convert the experimental pipe from linear motion to rotational motion. The gear transmission unit is key-connected to the elbow to drive the elbow to rotate. The elbow is detachably connected to the clamping block, and the clamping block is used to fix the experimental pipe.

3. A bending pipe forming crack prediction system according to claim 2, characterized in that: The pipe bending mold also includes: a support block and a base; The support block is movably connected to the base for moving the support block along the x-axis. The support block is detachably connected to the experimental tube for fixing the experimental tube. A gasket is provided between the support block and the experimental tube for increasing friction.

4. A bending pipe forming crack prediction system according to claim 3, characterized in that: The pipe bending die also includes: a limit block; One end of the limit block is detachably connected to the base, and the other end of the limit block is loosely connected to the gear transmission unit for limiting the position of the gear transmission unit.

5. The pipe bending crack prediction system according to claim 1, characterized in that: When receiving the cracking signal, stopping the operation and calculating the limit bending radius of the test pipe according to the downward displacement includes: Get the gear ratio; When receiving the cracking signal, the press stops running and generates a downward displacement; Calculate the elbow rotation angle according to the gear transmission ratio and the downward displacement; The rotation angle of the elbow is calculated according to the Archimedean spiral formula to obtain the limit bending radius.

6. A bending pipe forming crack prediction system according to claim 1, characterized in that: The limiting bending radius is expressed as: r = a + bθ; x = (a + bθ) cos (θ); y=(a+bθ)sin(θ); Among them, a is the distance from the starting point to the origin of the polar coordinates, b is the value that increases with each unit angle r of the spiral line, and θ is the rotation angle.

7. The bending crack prediction system according to claim 1, characterized in that: The material of the experimental pipe is steel, aluminum alloy or stainless steel.

8. A method for predicting cracking during pipe bending, characterized in that: The method comprises: bending the test pipe until the test pipe cracks; In the case where the test pipe cracks, generating a cracking signal; When receiving the cracking signal, stopping the operation and calculating the limit bending radius of the test pipe according to the downward displacement; The limit bending radius is calculated according to a machine learning algorithm to obtain a prediction result.

9. An electronic device, comprising: A memory and a processor, wherein the processor is used to implement the steps of a method for predicting cracking during bending of a pipe as claimed in claim 8 when executing a computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for predicting cracking during bending of a pipe as claimed in claim 8 are implemented.

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