Linear friction welding blisk adaptive machining process model reconstruction method

Abstract

This application provides a method for reconstructing an adaptive machining process model for a linear friction welded integral bladed disk, comprising: dividing the blades of the integral bladed disk along the stacking axis into an actual surface region B1, a transition region B2, and a theoretical surface region B3, wherein the upper boundary of the transition region B2 is denoted as S_up, and the lower boundary is denoted as S_down; based on the actual surface region B1, the theoretical blade M_NOM is registered using an iterative nearest-point algorithm, and the blade is moved according to the registration result to obtain the registered and moved blade model M_FIT; based on the upper boundary S_up and the lower boundary S_down of the transition region B2, the adaptive machining transition surface RE_S2 is reconstructed; the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM are combined to form an adaptive machining process model for the integral bladed disk blades; each blade is adaptively processed sequentially until all blades on the bladed disk are processed to form the final adaptive machining process model for the integral bladed disk.

Description

Technical Field

[0001] This application relates to a method for reconstructing an adaptive machining process model for integral bladed disks after linear friction welding. It can be used in the adaptive machining process of blades of integral bladed disks after linear friction welding and belongs to the field of CNC machining of blade-type parts. Background Technology

[0002] Integral bladed disks (IBDs) represent the latest structural and aerodynamic layout adopted in the design of next-generation high thrust-to-weight ratio aero engines. They directly connect the blades and disk into a single unit, significantly simplifying the engine's structure and further improving its thrust-to-weight ratio and reliability. IBDs are widely used in military and civilian aero engines worldwide. Titanium alloys and high-temperature alloys are commonly used as manufacturing materials for IBDs. Currently, the primary manufacturing method is integral precision CNC machining. However, this method suffers from problems such as long machining cycles, high processing costs, and significant material waste.

[0003] Linear friction welding technology for manufacturing integral bladed disks is a new technological direction for future integral bladed disk development. Compared with integral CNC machining, this technology has the following advantages: 1) less machining allowance, shorter machining cycle, and material saving; 2) it can quickly repair and replace individual blades on the integral bladed disk; 3) the blades on the bladed disk can be made into a hollow structure, which can reduce the weight of the integral bladed disk to a certain extent. Moreover, different materials can be selected for the disk body and blades according to different design requirements, giving full play to the performance of the materials, further reducing weight and improving engine thrust while ensuring its performance.

[0004] Currently, there are two main challenges in the CNC machining of integral bladed disk airfoils after linear friction welding: 1) During the welding process of each blade to the disk, there will be welding position error. This will cause the flow channel space between the blades on the welded bladed disk to be different from the flow channel space between the blades in the theoretical model. If the theoretical bladed disk model is used to generate the machining toolpath, there will be a very large risk of tool axis interference. In severe cases, it can lead to the scrapping of the entire bladed disk and damage to the equipment. Therefore, how to avoid tool axis interference during the machining process is a difficult problem in the CNC machining of the integral bladed disk blade profile after linear friction welding.

[0005] 2) During the machining of the bladed disk after welding, only the welding process table and the area below it need to be machined. The area above the welding process table is already machined. After machining, a smooth transition between the machined area and the machined area is required. However, due to the positional error of the welded blade, the machining using the original theoretical model will inevitably produce a large step difference, which cannot meet the technical requirements. Therefore, how to construct a smooth transition surface between the machined area and the machined area that meets the profile design requirements to achieve a smooth transition of the blade after machining is another problem in the CNC machining of the integral bladed disk after linear friction welding. Summary of the Invention

[0006] This application provides an adaptive machining process model reconstruction method for integral bladed disks after linear friction welding, which can construct a CNC machining model for integral bladed disks after linear friction welding, effectively solving the two problems mentioned above.

[0007] Firstly, this application provides a method for reconstructing an adaptive machining process model for linear friction-welded integral bladed disks, including: The blades of the entire bladed disk are divided into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3 along the stacking axis. The upper boundary of the transition section region B2 is denoted as S_up, and the lower boundary is denoted as S_down. Based on the actual curved surface region B1, the theoretical blade M_NOM is registered using the iterative nearest point algorithm, and the blade is moved according to the registration result to obtain the registered and moved blade model M_FIT. Based on the upper boundary S_up and lower boundary S_down of the transition region B2, reconstruct the adaptive processing transition surface RE_S2; The actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM are combined to form an adaptive machining process model for the overall bladed disk blade.

[0008] Furthermore, the overall bladed disk is divided along the stacking axis into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3, including: Based on the location of the blade weld and design requirements, the blade is divided into three regions along the stacking axis: the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3, from the blade tip to the blade root.

[0009] Furthermore, based on the actual curved surface region B1, the theoretical blade M_NOM is registered using the iterative nearest-point algorithm, and the blade is moved according to the registration result to obtain the registered and moved blade model M_FIT, including: Two cross-sectional curves, C1 and C2, are planned in the actual curved surface region B1 for registration. The iterative nearest point algorithm is used to register the theoretical blade M_NOM with the measured point sets of C1 and C2. Based on the registration results, the entire blade is moved to the actual measurement point set for registration, resulting in the registered blade model M_FIT.

[0010] Furthermore, before reconstructing the adaptively processed transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2, the following steps are also included: Within the actual curved surface region B1 on M_FIT, select an overlapping section S at a distance of one probe radius from the upper boundary S_up of the transition section region; The entire area of ​​the overlapping section S is measured to obtain a set of measured points P0. The reconstructed section S_adp is obtained by interpolating the set of points P0.

[0011] Furthermore, before reconstructing the adaptively processed transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2, the following steps are also included: Between S_adp and S_down, n theoretical blade sections S0, S1…Sn are obtained by using n equidistant planes to cut off the theoretical blade M_NOM. The number of equidistant planes n is determined according to the size of the transition section surface region and the process requirements.

[0012] Furthermore, based on the upper boundary S_up and lower boundary S_down of the transition region B2, the adaptive processing transition surface RE_S2 is reconstructed, including: Let the positional deviation of S_down be (0, 0, 0), and the positional deviation of S_adp be (Tx, Ty, Rz) in the registration result. The positional deviations corresponding to S0, S1…Sn are calculated using linear interpolation as (Tx0, Ty0, Rz0), (Tx1, Ty1, Rz1)…(Txn, Tyn, Rzn), where Tx is the translation in the x-direction, Ty is the translation in the y-direction, and Rz is the rotation around the z-direction. Adjust the positions of S0, S1...Sn according to their respective positional deviation values ​​to obtain the interpolated cross-section lines S0_adp, S1_adp...Sn_adp; A skinning algorithm is used to perform skinning operations on S_adp, S0_adp, S1_adp…Sn_adp and S_down to reconstruct the adaptive machining transition surface RE_S2.

[0013] Furthermore, it also includes: Number the blades of the entire bladed disk, and perform adaptive processing on each blade in sequence until all blades on the bladed disk have been processed. Combine all the blade adaptive machining process models to form the final overall bladed disk adaptive machining process model.

[0014] Secondly, this application provides an adaptive machining process model reconstruction system for linear friction-welded integral bladed disks, comprising: The region division module is used to divide the overall blade disk blades into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3 along the stacking axis. The upper boundary of the transition section region B2 is denoted as S_up, and the lower boundary is denoted as S_down. The registration and movement module is used to register the theoretical blade M_NOM based on the actual curved surface region B1 using the iterative nearest point algorithm, and to move the blade according to the registration result to obtain the registered and moved blade model M_FIT. The transition reconstruction module is used to reconstruct the adaptive machining transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2. The region combination module is used to combine the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM to form an adaptive machining process model for the overall bladed disk blade.

[0015] Thirdly, this application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the linear friction welding integral bladed disk adaptive machining process model reconstruction method as described above.

[0016] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the adaptive machining process model reconstruction method for linear friction welding integral bladed disks as described above.

[0017] The above-mentioned technical solution of this application has the following advantages: The adaptive machining process model reconstruction method for linear friction welded integral bladed disks provided in the first aspect of this application can achieve optimal matching between the constructed process model and the non-machined area of ​​the blades after welding. It can effectively solve the tool axis interference and collision problem caused by the tool path generated by the theoretical model of the bladed disk. Furthermore, the constructed transition area surface can solve the problem of the step difference in the machining of the blade welding area, realize the smooth transition between the machined area and the non-machined area, and meet the high-efficiency and high-precision CNC machining requirements of the integral bladed disk after linear friction welding.

[0018] It is understood that the beneficial effects of the second, third and fourth aspects mentioned above can be found in the relevant descriptions in the first aspect above, and will not be repeated here. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 A diagram showing the numbering of the impeller disks provided in the embodiments of this application; Figure 2 A schematic diagram of the theoretical blade M_NOM partition provided in the embodiments of this application; Figure 3 Analysis diagram of the actual curved surface region B1 on M_FIT provided in this application embodiment; Figure 4 A cross-sectional curve diagram for adaptive machining transition segment reconstruction provided in the embodiments of this application; Figure 5 A diagram illustrating the reconstructed blade adaptive manufacturing process model provided in this application embodiment; Figure 6 A diagram showing the relationship between the blade models before and after registration, provided in an embodiment of this application; Figure 7 A process model diagram of the reconstructed integral bladed disk provided in the embodiments of this application. Detailed Implementation

[0021] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of this application with unnecessary detail.

[0022] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0023] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized. "A plurality" means "two or more."

[0025] Currently, the main manufacturing method for integral bladed disks is integral precision CNC machining. Existing literature has limited research on adaptive machining technology for integral bladed disks with linear friction welding, and there are no research reports on methods for reconstructing adaptive machining process models for integral bladed disks.

[0026] The adaptive machining process model reconstruction method for linear friction welded integral bladed disks proposed in this application is mainly used to solve problems such as tool shaft interference and collision and machining step difference caused by the deviation of the actual shape of the bladed disk from the theoretical model during the CNC machining of integral bladed disks after linear friction welding.

[0027] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0028] This application provides a method for reconstructing an adaptive machining process model for linear friction-welded integral bladed disks. The main technical solution is as follows: 1) such as Figure 1 As shown, the blades of the entire bladed disk are numbered, and then each blade is subjected to adaptive processing in sequence.

[0029] 2) Taking blade No. 1 as an example, based on the location of the blade weld and design requirements, the blade is divided into three regions along the stacking axis, named from the blade tip to the blade root as: actual curved surface region B1, transition region B2, and theoretical curved surface region B3. The upper boundary of the transition region B2 is denoted as S_up, and the lower boundary as S_down. For example... Figure 2 As shown, two cross-sectional curves C1 and C2 are planned in region B1 for registration and measurement. The Iterative Closest Point (ICP) algorithm is used to register the theoretical blade M_NOM with the measured point sets of C1 and C2. Based on the registration results, the blade as a whole is moved to the measured point set to obtain the registered blade model M_FIT.

[0030] 3) such as Figure 3As shown, within the actual curved surface region B1 on M_FIT, an overlapping section S is selected at a position approximately one probe radius away from the upper boundary S_up of the transition section region. The entire area of ​​this section is measured to obtain a set of measured points P0. The reconstructed section S_adp is obtained through the interpolation of the point set P0.

[0031] 4) such as Figure 4 As shown, the theoretical blade M_NOM is intercepted between S_adp and S_down using n equidistant planes to obtain n theoretical section lines S0, S1...Sn, where the number of equidistant planes n can be determined according to the size of the transition section surface area and process requirements.

[0032] 5) Reconstruct the adaptive machining transition surface RE_S2. Let the positional deviation of S_down be (0, 0, 0), and the positional deviation of S_adp be (Tx, Ty, Rz) from the registration result in step 2). Then, use linear interpolation to calculate the positional deviations of S0, S1…Sn as (Tx0, Ty0, Rz0), (Tx1, Ty1, Rz1), …(Txn, Tyn, Rzn), where Tx is the translation in the x-direction, Ty is the translation in the y-direction, and Rz is the rotation around the z-direction. Adjust the positions of S0, S1…Sn according to their respective positional deviation values ​​to obtain the interpolated and adjusted section lines S0_adp, S1_adp…Sn_adp. Finally, use a skinning algorithm to perform skinning operations on S_adp, S0_adp, S1_adp…Sn_adp, and S_down to reconstruct the adaptive machining transition surface RE_S2.

[0033] 6) Combine the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM to form the final adaptive machining process model of the blade, such as... Figure 5 As shown, the adaptive processing of blade 1 is now complete.

[0034] 7) Repeat the adaptive processing process of blade 1 for the other blades on the bladed disk until all blades on the bladed disk have been processed. Combine all the adaptive processing models of the blades to form the final overall adaptive processing model of the bladed disk.

[0035] The process model constructed by this method can achieve optimal matching with the non-machined area of ​​the bladed disk after welding. It can effectively solve the tool axis interference and collision problem caused by the tool path generated by the bladed disk theoretical model. Moreover, the constructed transition area surface can solve the problem of the step difference in the machining of the blade welding area, realize the smooth transition between the machining area and the non-machining area, and meet the high-efficiency and high-precision CNC machining requirements of the integral bladed disk after linear friction welding.

[0036] The following is a description through specific embodiments.

[0037] Example The method in this embodiment can use UG secondary development technology to develop related functions, and mainly includes the following steps: 1) such as Figure 1 The image shows a certain type of impeller disk with 20 blades, which are numbered from 1 to 20.

[0038] 2) First, select leaf number 1 for treatment. Then, cut leaf number 1 according to... Figure 2 The area is divided into 3 regions as shown: The actual curved surface region B1, the transition region B2, and the theoretical curved surface region B3 are defined. The distance between the upper boundary S_up and the lower boundary S_down of the transition region B2 can be set according to processing requirements. Then, two cross-sectional curves C1 and C2 in region B1 are measured using on-machine measurement. The Iterative Closest Point (ICP) algorithm is used to register the theoretical blade M_NOM with the measured point sets of C1 and C2. The registration result (Tx, Ty, Rz) = (A, B, C). Based on the registration result, the registered blade model M_FIT is obtained. The relationship between the blade models before and after registration is as follows: Figure 6 As shown.

[0039] 3) such as Figure 3 As shown, within the actual curved surface region B1 on M_FIT, an overlapping section S is selected at a probe radius away from the upper boundary S_up of the transition section region. The entire area of ​​this section is measured to obtain several measurement points. Then, the section S_adp is reconstructed using the cubic B-spline interpolation method.

[0040] 4) Obtain n theoretical section lines S0, S1…Sn by intersecting the theoretical blade M_NOM between S_adp and S_down using n equidistant planes, as shown. Figure 4 As shown.

[0041] 5) Reconstruct the adaptive machining transition surface RE_S2. Let the positional deviation of S_down be (0, 0, 0), and the positional deviation of S_adp be (A, B, C) from the registration result in step 2). Then, use linear interpolation to calculate the positional deviations of S0, S1…Sn as (A0, B0, C0), (A1, B1, C1), (A2, B2, C2)…(An, Bn, Cn). Adjust the positions of S0, S1…Sn according to their respective positional deviation values ​​to obtain the interpolated and adjusted section lines S0_adp, S1_adp…Sn_adp. Finally, use a skinning algorithm to perform skinning operations on S_adp, S0_adp, S1_adp…Sn_adp, and S_down to reconstruct the adaptive machining transition surface RE_S2.

[0042] 6) Combine the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM to form the final adaptive machining process model of the blade, such as... Figure 5 As shown, the adaptive processing of blade 1 is now complete.

[0043] 7) The other 19 blades were treated in the same way, resulting in the following: Figure 7 The integrated bladed disk process model shown.

[0044] The adaptive machining process model reconstruction method for linear friction welded integral bladed disks provided in this application embodiment can reconstruct the adaptive machining process model of the integral bladed disk according to the actual situation of the welded bladed disk, effectively realizing high-precision and high-efficiency machining of the blades of the welded bladed disk, and meeting the technical requirements for smooth transition between the blade machining area and the base area.

[0045] Corresponding to the adaptive machining process model reconstruction method for linear friction welded integral bladed disks described in the above embodiments, this application also provides an adaptive machining process model reconstruction system for linear friction welded integral bladed disks, including: The region division module is used to divide the overall blade disk blades into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3 along the stacking axis. The upper boundary of the transition section region B2 is denoted as S_up, and the lower boundary is denoted as S_down. The registration and movement module is used to register the theoretical blade M_NOM based on the actual curved surface region B1 using the iterative nearest point algorithm, and to move the blade according to the registration result to obtain the registered and moved blade model M_FIT. The transition reconstruction module is used to reconstruct the adaptive machining transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2. The region combination module is used to combine the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM to form an adaptive machining process model for the overall bladed disk blade.

[0046] It should be noted that the information interaction and execution process between the above modules / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0047] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0048] This application also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the linear friction welding integral bladed disk adaptive machining process model reconstruction method provided in the first aspect.

[0049] In applications, terminal devices may include, but are not limited to, processors and memory. These are merely examples of terminal devices and do not constitute a limitation on them. They may include more or fewer components, combinations of certain components, or different components, such as input / output devices and network access devices. Input / output devices may include cameras, audio capture / playback devices, displays, etc. Network access devices may include network modules for wireless network communication with external devices.

[0050] In applications, the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0051] In applications, the memory may be an internal storage unit of the terminal device in some embodiments, such as the hard drive or RAM of the terminal device. In other embodiments, the memory may be an external storage device of the terminal device, such as a plug-in hard drive, a smart media card (SMC), or a flash card. The memory may also include both internal and external storage units of the terminal device. The memory is used to store the operating system, applications, boot loader, data, and other programs, such as the program code of a computer program. The memory can also be used to temporarily store data that has been output or will be output.

[0052] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can implement the steps in the above-described method embodiments.

[0053] This application implements all or part of the processes in the methods of the above embodiments, which can be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.

[0054] Those skilled in the art will recognize that the device and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0055] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interface, or the device may be indirectly coupled or communicated, and may be electrical, mechanical, or other forms.

[0056] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for reconstructing an adaptive machining process model for a linear friction-welded integral bladed disk, characterized in that, include: The blades of the entire bladed disk are divided into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3 along the stacking axis. The upper boundary of the transition section region B2 is denoted as S_up, and the lower boundary is denoted as S_down. Based on the actual curved surface region B1, the theoretical blade M_NOM is registered using the iterative nearest point algorithm, and the blade is moved according to the registration result to obtain the registered and moved blade model M_FIT. Based on the upper boundary S_up and lower boundary S_down of the transition region B2, reconstruct the adaptive processing transition surface RE_S2; The actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM are combined to form an adaptive machining process model for the overall bladed disk blade.

2. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 1, characterized in that, The blades of the entire bladed disk are divided into three regions along the stacking axis: the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3, including: Based on the location of the blade weld and design requirements, the blade is divided into three regions along the stacking axis: the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3, from the blade tip to the blade root.

3. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 1, characterized in that, Based on the actual curved surface region B1, the theoretical blade M_NOM is registered using the iterative nearest point algorithm, and the blade is moved according to the registration result to obtain the registered and moved blade model M_FIT, including: Two cross-sectional curves, C1 and C2, are planned in the actual curved surface region B1 for registration. The iterative nearest point algorithm is used to register the theoretical blade M_NOM with the measured point sets of C1 and C2. Based on the registration results, the entire blade is moved to the actual measurement point set for registration, resulting in the registered blade model M_FIT.

4. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 1, characterized in that, Before reconstructing the adaptively processed transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2, the following steps are also included: Within the actual curved surface region B1 on M_FIT, select an overlapping section S at a distance of one probe radius from the upper boundary S_up of the transition section region; The entire area of ​​the overlapping section S is measured to obtain a set of measured points P0. The reconstructed section S_adp is obtained by interpolating the set of points P0.

5. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 4, characterized in that, Before reconstructing the adaptively processed transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2, the following steps are also included: Between S_adp and S_down, n theoretical blade sections S0, S1…Sn are obtained by using n equidistant planes to cut off the theoretical blade M_NOM. The number of equidistant planes n is determined according to the size of the transition section surface region and the process requirements.

6. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 5, characterized in that, Based on the upper boundary S_up and lower boundary S_down of the transition region B2, the adaptively processed transition surface RE_S2 is reconstructed, including: Let the positional deviation of S_down be (0, 0, 0), and the positional deviation of S_adp be (Tx, Ty, Rz) in the registration result. The positional deviations corresponding to S0, S1…Sn are calculated using linear interpolation as (Tx0, Ty0, Rz0), (Tx1, Ty1, Rz1)…(Txn, Tyn, Rzn), where Tx is the translation in the x-direction, Ty is the translation in the y-direction, and Rz is the rotation around the z-direction. Adjust the positions of S0, S1...Sn according to their respective positional deviation values ​​to obtain the interpolated cross-section lines S0_adp, S1_adp...Sn_adp; A skinning algorithm is used to perform skinning operations on S_adp, S0_adp, S1_adp…Sn_adp and S_down to reconstruct the adaptive machining transition surface RE_S2.

7. The method for reconstructing the adaptive machining process model of a linear friction-welded integral bladed disk as described in claim 1, characterized in that, Also includes: Number the blades of the entire bladed disk, and perform adaptive processing on each blade in sequence until all blades on the bladed disk have been processed. Combine all the blade adaptive machining process models to form the final overall bladed disk adaptive machining process model.

8. A linear friction-welded integral bladed disk adaptive machining process model reconstruction system, characterized in that, include: The region division module is used to divide the overall blade disk blades into the actual curved surface region B1, the transition section region B2, and the theoretical curved surface region B3 along the stacking axis. The upper boundary of the transition section region B2 is denoted as S_up, and the lower boundary is denoted as S_down. The registration and movement module is used to register the theoretical blade M_NOM based on the actual curved surface region B1 using the iterative nearest point algorithm, and to move the blade according to the registration result to obtain the registered and moved blade model M_FIT. The transition reconstruction module is used to reconstruct the adaptive machining transition surface RE_S2 based on the upper boundary S_up and lower boundary S_down of the transition region B2. The region combination module is used to combine the actual surface region B1 on M_FIT, the adaptive machining transition surface RE_S2, and the theoretical region B3 on the theoretical blade M_NOM to form an adaptive machining process model for the overall bladed disk blade.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the adaptive machining process model reconstruction method for linear friction welding integral bladed disks as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the adaptive machining process model reconstruction method for linear friction welding integral bladed disks as described in any one of claims 1 to 7.

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