Variable-pressure deep magneto-rheological machining method and machining system

Abstract

The invention discloses a variable-pressure deep magneto-rheological machining method and system, and the method comprises the steps: obtaining an initial residual error of a to-be-machined element, and randomly generating an initial modification coefficient of the to-be-machined element; decomposing the initial residual error according to the initial modification coefficient to obtain at least two sub residual error distributions; the mapping relation between the press-in depth of the magnetorheological machining polishing wheel and the press-in depth corresponding shaping capacity is constructed; on the basis of the mapping relation, each sub residual error distribution is matched with the press-in depth of the magnetorheological machining polishing wheel, loop iteration is carried out until iteration conditions are met, and a machining modification coefficient and the corresponding press-in depth are obtained; according to the machining modification coefficient and the corresponding press-in depth, the corresponding residence time distribution is calculated, the machining modification coefficient, the corresponding press-in depth and the corresponding residence time distribution of the to-be-machined element are obtained, multi-press-depth parameter machining can be achieved in a single process, and the machining efficiency and the machining precision of the continuous phase element are improved.

Description

Technical Field

[0001] The present application relates to the field of optical processing technology, and in particular to a variable-pressure deep magnetorheological processing method and processing system. Background Art

[0002] Continuous Phase Plate (CPP) is the core carrier of high-performance diffractive optical devices. In cutting-edge fields such as Inertial Confinement Fusion (ICF), CPP needs to achieve sub-wavelength-level phase control accuracy to produce a laser focus with a flattened intensity distribution, steep transition edges, and sidelobe suppression characteristics. This places control requirements on the processing technology at nearly atomic scale.

[0003] Although the existing magnetorheological finishing technology can achieve deterministic material removal capabilities at the sub-nanometer level, it cannot simultaneously meet the precision etching requirements of high-frequency microstructures and the deep shaping characteristics of low-frequency phase regions when faced with multi-scale composite phase characteristics. It is difficult to effectively match the spatial frequency of its surface microstructure, resulting in a low low-frequency error convergence rate, which seriously restricts processing efficiency. Summary of the invention

[0004] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0005] The main purpose of the embodiments of the present disclosure is to propose a variable pressure depth magnetorheological processing method and processing system, which can realize multi-pressure depth parameter processing in a single process, thereby improving the processing efficiency and processing accuracy of continuous phase elements.

[0006] A first aspect of an embodiment of the present application provides a variable pressure deep magnetorheological processing method for a central controller, the method comprising: Acquire an initial residual error of a component to be processed, and randomly generate an initial modification coefficient of the component to be processed; Decomposing the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, wherein the spatial characteristics of any two sub-residual error distributions are different; Constructing a mapping relationship between the indentation depth of a magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, wherein the magnetorheological machining polishing wheel is used to process the component to be processed; Based on the mapping relationship, each sub-residual error distribution is matched with the indentation depth of the magnetorheological polishing wheel, and the process is iterated repeatedly until the iteration condition is met, so as to obtain the machining modification coefficient and the corresponding indentation depth; The corresponding residence time distribution is calculated according to the machining modification coefficient and the corresponding pressing depth, so as to obtain the machining modification coefficient, the corresponding pressing depth and the corresponding residence time distribution of the component to be machined.

[0007] The embodiment of the present application provides a variable pressure depth magnetorheological machining method, which randomly generates an initial modification coefficient of the component to be processed by acquiring an initial residual error of the component to be processed; decomposes the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions; constructs a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the modification ability corresponding to the indentation depth; based on the mapping relationship, matches each sub-residual error distribution with the indentation depth of the magnetorheological machining polishing wheel, and iterates repeatedly until the iteration condition is met to obtain the machining modification coefficient and the corresponding indentation depth; calculates the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth to obtain the machining modification coefficient, the corresponding indentation depth and the corresponding residence time distribution of the component to be processed, which can realize multi-indentation parameter machining in a single process and improve the machining efficiency and machining accuracy of continuous phase components.

[0008] In some embodiments of the present application, the initial residual error is decomposed according to the initial modification coefficient to obtain a calculation formula for at least two sub-residual error distributions, including: ; ; in, is the initial residual error of the current magnetorheological processing point, is the initial modification coefficient.

[0009] In some embodiments of the present application, the mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed, including: Defining the indentation depth of the magnetorheological polishing wheel; Obtaining a removal function corresponding to the indentation depth of the magnetorheological polishing wheel; According to the indentation depth and the removal function, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed.

[0010] In some embodiments of the present application, the mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed according to the indentation depth and the removal function, including: ; ; ; in, The axis is the axis direction of the magnetorheological polishing wheel. The axis is the tangent direction of the lowest point of the magnetorheological polishing wheel. The axis is the normal direction of the lowest point of the magnetorheological polishing wheel. is the radius of the magnetorheological polishing wheel, is the thickness of the magnetorheological fluid ribbon at the lowest point of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the surface equation of the component to be processed, To remove the function intensity, To remove the function The two-dimensional Fourier transform of Indicates the removal of function shaping capability.

[0011] In some embodiments of the present application, the iteration includes: Performing machining simulation on the sub-residual error distribution according to the modification coefficient and the corresponding indentation depth in the iteration process to obtain a simulation machining result; The root mean square of the sub-residual error distribution is calculated according to the simulation processing result, and an adaptability function of the sub-residual error distribution is established.

[0012] In some embodiments of the present application, the calculation formula for calculating the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth includes: ； ; in, is the residual error of the current magnetorheological processing point, and is the integration variable, is the removal function of the current magnetorheological processing point, is the residence time of the current magnetorheological processing point.

[0013] In some embodiments of the present application, the iteration condition includes: based on an adaptability function of the sub-residual error distribution, the root mean square satisfies a preset range.

[0014] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present invention provides a variable pressure deep magnetorheological processing system, the system comprising: An acquisition module, used for acquiring an initial residual error of a component to be processed, and randomly generating an initial modification coefficient of the component to be processed; A decomposition module, used for decomposing the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, wherein the spatial characteristics of any two sub-residual error distributions are different; A construction module is used to construct a mapping relationship between the indentation depth of a magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, wherein the magnetorheological machining polishing wheel is used to process the component to be processed; An iteration module is used to match each sub-residual error distribution with the indentation depth of the magnetorheological polishing wheel based on the mapping relationship, and iterate cyclically until the iteration condition is met to obtain the machining modification coefficient and the corresponding indentation depth; The calculation module is used to calculate the corresponding residence time distribution according to the machining modification coefficient and the corresponding pressing depth, so as to obtain the machining modification coefficient, the corresponding pressing depth and the corresponding residence time distribution of the component to be processed.

[0015] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present invention provides an electronic device, comprising: at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the above-mentioned variable pressure deep magnetorheological processing method.

[0016] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned variable-pressure deep magnetorheological processing method.

[0017] It can be understood that the beneficial effects of the second to fourth aspects compared with the related art are the same as the beneficial effects of the first aspect compared with the related art. Please refer to the relevant description in the first aspect, and no further details will be given here. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 It is a schematic flow chart of a variable pressure deep magnetorheological processing method provided in an embodiment of the present application; Figure 2 It is a schematic diagram of generating a removal function provided in an embodiment of the present application; Figure 3 is a schematic diagram of a coordinate system for describing the contour of a magnetorheological fluid provided in an embodiment of the present application; Figure 4 is a schematic diagram of removal characteristics of a removal function at different pressure depths provided in an embodiment of the present application; Figure 5 It is a structural schematic diagram of a variable pressure deep magnetorheological processing training system provided in an embodiment of the present application; Figure 6 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0019] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0020] In the description of this application, if there is a description of first, second, etc., it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0021] In the description of the present application, it should be understood that the descriptions involving orientation, such as the orientation or positional relationship indicated as up, down, etc., are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0022] In the description of this application, it should be noted that, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meaning of the above terms in this application based on the specific content of the technical solution.

[0023] As a typical representative of diffractive optical elements, the core feature of the continuous phase plate (CPP) is that the surface is distributed with a continuous and random phase profile structure. Different from the scattering loss and intensity modulation problems caused by discrete steps in traditional step-type phase elements, the continuous phase plate can effectively suppress the high-order diffraction effect through a smooth phase structure, significantly improve the laser damage threshold of the element, and show unique technical advantages in the fields of laser beam shaping, wavefront compensation and light field modulation. In addition, the continuous phase plate can convert the incident wavefront into an outgoing wavefront with a specific energy distribution (such as flat-top, Gaussian or super-Gaussian distribution) by precisely controlling the phase distribution of the incident wavefront. In the inertial confinement fusion (ICF) device, in order to achieve uniform irradiation of the target pellet, the intensity distribution of the laser focus is required to have flat top, steep edges and no side lobes, which places extremely high demands on the manufacturing accuracy of the continuous phase plate.

[0024] In recent years, as inertial confinement fusion devices have developed toward higher power and shorter pulses, the design parameters of continuous phase elements have shown a trend of miniaturization of spatial period (millimeter level) and multiplication of modulation depth (several microns to tens of microns), which poses a great challenge to the accuracy and adaptability of the manufacturing process.

[0025] Magnetorheological finishing technology has become the mainstream processing method for continuous phase components in inertial confinement fusion devices due to its high certainty (material removal accuracy reaches sub-nanometer level) and small sub-surface damage, and has formed a mature process flow. As the inertial confinement fusion system's requirements for the performance of continuous phase components continue to increase, traditional magnetorheological finishing technology has gradually shown technical bottlenecks in dealing with the reduction of the minimum spatial period of continuous phase components and the increase of modulation depth.

[0026] In the current process, a single removal function under a fixed pressure depth is generally used to perform multiple "machining-measurement-machining" iterations, and the target structure is achieved by repeated shaping on the surface of the fused quartz substrate. However, the surface of the continuous phase element has a complex phase distribution feature with multi-scale interweaving. It is difficult for a single removal function to effectively match the spatial frequency of its surface microstructure, resulting in a low convergence rate of low-frequency errors. In addition, the polishing wheel diameter of the magnetorheological polishing technology is usually more than 100 mm, making it difficult to accurately process structures with a spatial period of less than 8 mm. In summary, the lack of multi-scale shaping capabilities of conventional magnetorheological removal functions and the limitations of the physical size of polishing tools have led to an imbalance between precision and efficiency in the manufacturing process of continuous phase elements, becoming the main technical obstacle to current process optimization.

[0027] Based on this, the embodiments of the present application provide a variable pressure depth magnetorheological processing method and processing system, which aims to realize multi-pressure depth parameter processing in a single process, thereby improving the processing efficiency and processing accuracy of continuous phase elements.

[0028] The variable-pressure deep magnetorheological processing and processing system provided in the embodiments of the present application are specifically illustrated through the following embodiments. First, the variable-pressure deep magnetorheological processing method in the embodiments of the present application is described.

[0029] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0030] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0031] The variable-pressure deep magnetorheological processing method provided in the embodiment of the present application relates to the field of optical processing technology. The variable-pressure deep magnetorheological processing method provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the variable-pressure deep magnetorheological processing method, etc., but is not limited to the above forms.

[0032] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0033] For this purpose, refer to Figure 1 The embodiment of the present application provides a variable-pressure deep magnetorheological processing method. The method is applied to a central controller. The controller can be a server, an electronic device, or a mobile terminal, etc., which is not specifically limited here. The method includes the following steps S110 to S150.

[0034] Step S110 , obtaining an initial residual error of the component to be processed, and randomly generating an initial modification coefficient of the component to be processed.

[0035] In this step, the initial residual error of the component to be processed is preferably obtained by comparing the difference between the preset standard surface shape and the actually measured substrate surface shape.

[0036] Specifically, the actual substrate surface shape can be measured by using an interferometer and then compared with a preset standard surface shape, and the difference between the preset standard surface shape and the actually measured substrate surface shape is obtained as the initial residual error.

[0037] Furthermore, the initial modification coefficients of the components to be processed are randomly generated for the subsequent iterative optimization process. A set of initial input populations is formed by combining the initial modification coefficients of the components to be processed with different indentation depths (D). Each combination of modification coefficients and indentation depths represents a possible processing strategy or path, which is used to find the most suitable combination of modification coefficients and indentation depths in the subsequent iterative optimization process, thereby effectively reducing the residual error and improving the processing accuracy and efficiency of continuous phase components.

[0038] Step S120: Decompose the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, and the spatial characteristics of any two sub-residual error distributions are different.

[0039] In this step, the initial residual error is decomposed into multiple sub-residual error distributions using the initial modification coefficients. Each sub-residual error distribution represents a specific part or feature of the original error.

[0040] Specifically, the decomposition can more accurately correct the different spatial frequency characteristics of the surface of the continuous phase element. In the decomposition process, the initial residual error is decomposed into sub-residual error distributions with different arbitrary spatial characteristics, ensuring that each sub-residual error distribution corresponds to the error characteristics of different scales or different spatial frequencies on the surface of the continuous phase element.

[0041] In some embodiments, in the decomposed sub-residual error distribution, one sub-residual error may focus on low-frequency error components, while another sub-residual error may focus more on high-frequency error components, so as to more accurately process the multi-scale errors on the surface of the continuous phase element, which helps to improve the matching degree of the removal function to the complex phase distribution characteristics on the surface of the continuous phase element, and achieve more effective error reduction.

[0042] In some embodiments, the initial residual error is decomposed according to the initial modification coefficient to obtain a calculation formula for at least two sub-residual error distributions, including: ; ; in, is the initial residual error of the current magnetorheological processing point, is the initial modification coefficient.

[0043] Step S130, constructing a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, wherein the magnetorheological machining polishing wheel is used to process the component to be processed.

[0044] In this step, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and its corresponding shaping ability is constructed. The specific relationship is determined through experiments and calculations. For each possible indentation depth value, the corresponding removal function is measured, and the key characteristics of the corresponding removal function are recorded to obtain a series of features, showing the specific performance of the removal function at different indentation depths.

[0045] Specifically, Figure 2 As shown, Figure 2 The material removal mechanism based on magnetorheological fluid is demonstrated, including: the component fixed in the center area of ​​the coordinate system as the processing object and the smart fluid medium (magnetorheological fluid) that wraps the component, and its rheological properties are controlled in real time by the magnetic field. The rectangular coordinate system defines the spatial distribution of the removal function to construct the three-dimensional feature space of the removal function, which is used to accurately describe the spatial position and shape of the removal function. To remove the front end length of the function, To remove the back end length of the function, To remove the function width.

[0046] Furthermore, the removal function describes the material removal characteristics when the magnetorheological fluid contacts the workpiece surface under specific conditions (such as the penetration depth D). The characteristics of the removal function include the full width at half maximum, the removal rate, and the ability to process the minimum spatial periodic structure. Therefore, the front end length, rear end length and width of the removal function are key parameters that determine the specific shape and range of material removal.

[0047] Furthermore, the shaping ability of the magnetorheological removal function changes with the indentation depth, e.g. Figure 3 The removal characteristics of the removal function under different indentation depths are different, that is, different indentation depths will lead to significant changes in the half-height full width of the removal function, the removal rate, and the ability to process the minimum spatial periodic structure. Therefore, by adjusting the indentation depth, the size and shaping ability of the removal function can be controlled, thereby more effectively matching the different features of the surface of the continuous phase element.

[0048] In some embodiments, in step S130, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed, including the following steps: Step S210, defining the pressing depth of the magnetorheological polishing wheel; Step S220, obtaining a removal function corresponding to the indentation depth of the magnetorheological polishing wheel; Step S230: constructing a mapping relationship between the indentation depth of the magnetorheological polishing wheel and the corresponding shaping capability of the indentation depth according to the indentation depth and the removal function.

[0049] In this embodiment, a series of different indentation depths need to be defined first. Specifically, different indentation depths will affect the characteristics of the removal function, so the selection of indentation depths should cover all ranges that may be used in the actual processing process to ensure that the optimal processing parameter combination can be found.

[0050] Furthermore, the removal function corresponding to the indentation depth of the magnetorheological polishing wheel is obtained, and for each selected indentation depth, the corresponding removal function is determined. The removal function describes the removal efficiency and distribution of the magnetorheological fluid on the surface material of the workpiece at the corresponding indentation depth. Specifically, the removal function corresponding to the indentation depth of different magnetorheological polishing wheels can be obtained by experimental methods, and preferably, a precision measuring tool such as an interferometer can be used to quantify the removal effect at different indentation depths.

[0051] Furthermore, the key parameters of the removal function include the full width at half maximum (FWHM), the removal rate, and the ability to process the minimum spatial periodic structure, which reflect the specific shaping ability at different indentation depths. Therefore, according to the indentation depth and the removal function, the mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping ability corresponding to the indentation depth can be constructed. By adjusting based on the mapping relationship, not only the controllability of the processing process is improved, but also technical support is provided for achieving higher quality optical component manufacturing.

[0052] Specifically, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and its corresponding shaping ability is constructed. By linking each indentation depth with its corresponding removal function characteristics, the specific shaping ability under different indentation depths is reflected, so that the indentation depth that best suits the current processing task can be selected in the actual processing process using the constructed mapping relationship. Combined with optimization techniques such as genetic algorithms, the best combination can be found among multiple indentation depths, so that each step of processing can minimize the residual error and improve the processing accuracy.

[0053] In some embodiments, Figure 4 The coordinate system schematic diagram of the magnetorheological fluid contour description shown in the figure accurately describes the dynamic behavior of the magnetorheological fluid during the polishing process by coordinating the three-dimensional coordinate system with key parameters. The polishing wheel is used to rotate and polish the component. A magnetorheological polishing ribbon is formed on the surface of the polishing wheel, and its thickness is regulated by the electromagnetic field intensity gradient. The arrow indicates that the polishing wheel rotates clockwise.

[0054] Specifically, in Figure 4 In the three-dimensional coordinate system, The axis of the polishing wheel extends from the shaft, which determines the horizontal processing range and is the axis direction of the polishing wheel for magnetorheological processing; The axis is along the tangent direction of the lowest point of the polishing wheel, which corresponds to the feed motion vector of the machine tool and is the tangent direction of the lowest point of the polishing wheel in magnetorheological machining; The axis is orthogonal to the outer curved surface of the polishing wheel, and the normal pressure component is quantified, which is the normal direction of the lowest point of the polishing wheel in magnetorheological machining; is the radius of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the width of the magnetorheological fluid on the polishing wheel surface.

[0055] Furthermore, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping ability corresponding to the indentation depth is constructed according to the indentation depth and the removal function, including: ; ; ; in, The axis is the axis direction of the magnetorheological polishing wheel. The axis is the tangent direction of the lowest point of the magnetorheological polishing wheel. The axis is the normal direction of the lowest point of the magnetorheological polishing wheel. is the radius of the magnetorheological polishing wheel, is the thickness of the magnetorheological fluid ribbon at the lowest point of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the surface equation of the component to be processed, To remove the function intensity, To remove the function The two-dimensional Fourier transform of Indicates the removal of function shaping capability.

[0056] Step S140: Based on the mapping relationship, each sub-residual error distribution is matched with the indentation depth of the magnetorheological polishing wheel, and the process is iterated repeatedly until the iteration condition is met, so as to obtain the machining modification coefficient and the corresponding indentation depth.

[0057] In this step, based on the established mapping relationship between the indentation depth and the shaping ability, each sub-residual error distribution is matched with the indentation depth of the magnetorheological polishing wheel, and the optimization process is performed through cyclic iterative optimization until the preset iteration conditions are met.

[0058] In some embodiments, the iteration condition for cyclic iteration of each sub-residual error distribution and the indentation depth of the magnetorheological polishing wheel is an adaptive function based on the sub-residual error distribution, and the root mean square satisfies a preset range.

[0059] Specifically, based on the mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the corresponding shaping ability of the indentation depth, each sub-residual error distribution is matched with the appropriate indentation depth to find the indentation depth and corresponding shaping coefficient that can most effectively reduce the sub-residual error.

[0060] Furthermore, an adaptability function is usually defined based on the root mean square (RMS) of the sub-residual error distribution to quantify the machining effect, which is used to evaluate the effect of each combination of modification coefficient and indentation depth.

[0061] Specifically, a genetic algorithm is used to optimize the modification coefficient and the indentation depth. The genetic algorithm gradually approaches the optimal solution through selection, crossover and mutation operations. In each iteration, the fitness function value (i.e., the RMS value of the sub-residual error distribution) is calculated and recorded.

[0062] Furthermore, when the root mean square value of all sub-residual error distributions meets the preset range, the iteration is terminated. Thus, the machining accuracy and efficiency of the continuous phase element are significantly improved through iterative optimization, overcoming the technical bottleneck existing in the traditional fixed pressing process.

[0063] In some embodiments, the iteration in step S140 includes the following steps: Step S310, performing machining simulation on the residual error distribution according to the modification coefficient and the corresponding indentation depth in the iteration process to obtain a simulation machining result; Step S320: Calculate the root mean square of the sub-residual error distribution according to the simulation processing result, and establish an adaptability function of the sub-residual error distribution.

[0064] In this embodiment, during the iteration process, the sub-residual error distribution is simulated by using the modification coefficient and the corresponding indentation depth to determine the corresponding simulation processing result, and then the root mean square (RMS) of the sub-residual error distribution is calculated based on the simulation result to establish an adaptability function.

[0065] Specifically, in each iteration, the current modification coefficient and the corresponding indentation depth of the component to be processed are used as input parameters. The current modification coefficient and the corresponding indentation depth are generated through a genetic algorithm optimization process, and then a processing simulation model is constructed based on the removal function characteristics of the magnetorheological polishing technology. The processing simulation model simulates how the magnetorheological fluid interacts with the surface of the component to be processed at a given indentation depth, and can provide corresponding predicted experimental results through simulation experiments, so as to adjust the processing parameters according to the experimental results, thereby removing the component to be processed and correcting the surface error of the component to be processed.

[0066] Furthermore, for each sub-residual error distribution, the above-mentioned machining simulation model is used to perform machining simulation. During the simulation process, the effect of removing the components to be machined and the final surface shape are recorded. After each simulation, the surface shape after the simulated machining is compared with the preset standard surface shape, and a new residual error distribution is calculated, that is, the difference between the actual machined surface and the ideal surface is calculated.

[0067] Furthermore, for each sub-residual error distribution, its root mean square value (RMS) is calculated to quantify the magnitude of the machining error.

[0068] Furthermore, a fitness function is established, in which the fitness function is an indicator used to evaluate the combined effect of each set of shaping coefficients and indentation depths. The root mean square value of the sub-residual error distribution is minimized through the fitness function to select the optimal combination to enter the next generation of the genetic algorithm population.

[0069] Specifically, the form of the adaptability function can be adjusted according to specific needs, but usually the root mean square value or its reciprocal is directly used as the evaluation criterion.

[0070] Specifically, in each generation of the genetic algorithm, the fitness function values ​​of all individuals (i.e., combinations of modification coefficients and penetration depths) are calculated. In some embodiments, the higher the fitness function value (if the inverse form is used), or the lower the fitness function value (if the RMS value is used directly), the closer the combination is to the optimal solution, and then through multiple generations of iterations, the best combination of modification coefficients and penetration depths is gradually screened out.

[0071] Finally, a set of optimal modification coefficients and corresponding indentation depths are obtained, and actual processing is carried out. The surface shape of the continuous phase element after processing is measured to check whether the residual error meets the standard and ensure that the surface error after processing meets the design requirements.

[0072] Step S150, calculating the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth, and obtaining the machining modification coefficient, the corresponding indentation depth and the corresponding residence time distribution of the component to be machined.

[0073] In this step, the residence time refers to the time that the magnetorheological polishing wheel stays at a specific position, which directly affects the amount of material removed at that position. The corresponding residence time distribution is calculated based on the machining modification coefficient and the corresponding indentation depth to obtain the machining parameters of the component to be processed.

[0074] Specifically, each penetration depth corresponds to a specific removal function, which describes the removal efficiency and distribution of the workpiece surface material by the magnetorheological fluid under this condition. Based on the removal function, the relationship between the material removal amount and the dwell time can be established. Then, according to the shape of the sub-residual error distribution, the amount of material that needs to be removed at each position is calculated.

[0075] Furthermore, processing parameters of the component to be processed are obtained, including the processing modification coefficient, the indentation depth corresponding to the processing modification coefficient, and the residence time distribution corresponding to the processing modification coefficient obtained by optimization methods such as genetic algorithms, which are used to control the material removal amount of the magnetorheological polishing wheel at different positions, ensuring the optimal material removal effect at the corresponding position and achieving precise material removal.

[0076] In some embodiments, the calculation formula for calculating the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth includes: ； ; in, is the residual error of the current magnetorheological processing point, and is the integration variable, is the removal function of the current magnetorheological processing point, is the residence time of the current magnetorheological processing point.

[0077] Specifically, and These two parameters represent the relative position in two-dimensional space. The displacement can be calculated by scanning and accumulating over the entire domain.

[0078] In some embodiments, first, based on the random shaping coefficient ( ) will be the initial residual error Decompose into multiple sub-residual error distributions with different spatial characteristics, and then obtain the removal function at different pressure depths in the range of 0.1-0.4mm. , establish the mapping relationship between the magnetorheological pressure depth and its removal function modification ability; Furthermore, the minimum residual root mean square (RMS) is used as the evaluation index, and a genetic algorithm is used to find a set of suitable modification coefficients. The decomposed sub-residual error distribution is matched with multiple MR pressure depths, so as to calculate the corresponding residence time in turn. And generate multiple sets of CNC machining codes.

[0079] Furthermore, these CNC machining codes are sequentially integrated to achieve multi-depth parameter machining in a single process, overcoming the limitations of insufficient shaping capability and insufficient dynamic performance of the traditional fixed depth machining, while improving the machining efficiency and accuracy of continuous phase components.

[0080] Among them, the mapping relationship between the magnetorheological pressure depth and its removal function shaping ability includes: First, the intersection line equation between the magnetorheological fluid and the workpiece is: ; in, The axis is the axis direction of the magnetorheological polishing wheel. The axis is the tangent direction of the lowest point of the magnetorheological polishing wheel. The axis is the normal direction of the lowest point of the magnetorheological polishing wheel. is the radius of the magnetorheological polishing wheel, is the thickness of the magnetorheological fluid ribbon at the lowest point of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the surface equation of the component to be processed.

[0081] Furthermore, the removal function shaping capability is expressed as: ; ; in, To remove the function intensity, To remove the function The two-dimensional Fourier transform of Indicates the ability to remove function shaping, for The shaping ability of magnetorheological polishing is equal to the amplitude spectrum of the Fourier transform of the removal function. For removal functions of different sizes, their Fourier transform amplitude spectra can be used to compare the differences in their shaping abilities.

[0082] Therefore, the shaping ability of the magnetorheological removal function increases with the penetration depth. changes, such as Figure 3 By changing the indentation depth, its full width at half maximum, removal rate, and ability to process the minimum spatial periodic structure change significantly.

[0083] In some embodiments, a random set of shaping coefficients is generated , and satisfies , the initial residual error Decomposed into multiple sub-residual error distributions with different spatial characteristics, as shown below: ; Specifically, the initial residual error is obtained by subtracting the designed surface shape from the actual measured substrate surface shape (the surface shape is measured by an interferometer), and multiple indentation depths are obtained by experimental methods. The removal function below , establish the mapping relationship between the indentation depth and the shaping ability of the removal function.

[0084] Furthermore, the genetic algorithm is used for optimization: a set of initial modification coefficients and various indentation depths are used as the initial input population, and the root mean square of the optimal residual error is used as the evaluation parameter to match different indentation depths with the sub-residual errors, and finally obtain the matching relationship between the modification coefficient and the indentation depth. Among them, the genetic algorithm is a calculation model. After the initial modification coefficient and various indentation depths are input as the initial population, the processing simulation of the decomposed multiple residual errors can be performed, and the root mean square value of the residual error is used as the evaluation index of the model, so as to obtain a root mean square in each iteration.

[0085] Finally, after several cross-mutation iterative simulations, a minimum RMS value is obtained, and the modification coefficient and indentation depth corresponding to the minimum RMS value of the simulation are determined.

[0086] According to the magnetorheological material removal mechanism, when the pressure, relative speed and other process parameters remain unchanged, the participation error of the optical element is equal to the removal function and residence time Convolution along the processing trajectory. According to the deconvolution or linear equations, the pressure at each depth can be obtained. .

[0087] ； ; in, is the residual error of the current magnetorheological processing point, and is the integration variable, is the removal function of the current magnetorheological processing point, is the residence time of the current magnetorheological processing point.

[0088] Furthermore, according to the residence time , generate numerical control machining code (NC), that is, generate machining code of machining machinery, which is used to control the operation of machining machinery and realize multi-deep pressing parameter shaping continuous phase components in a single process.

[0089] In some embodiments, a numerical control (NC) code is generated to control a machine tool to perform machining through a NC code program, thereby achieving automatic mechanization operation.

[0090] Furthermore, after the machining and shaping is completed, the surface shape of the continuous phase element is measured to check whether the residual error RMS meets the standard. If it does not meet the standard, the genetic algorithm is used again to find a better machining and shaping coefficient and indentation depth.

[0091] In some embodiments, an initial modification coefficient of the element to be processed is randomly generated by obtaining an initial residual error of the element to be processed; the initial residual error is decomposed according to the initial modification coefficient to obtain at least two sub-residual error distributions; a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the modification capability corresponding to the indentation depth is constructed; based on the mapping relationship, each sub-residual error distribution is matched with the indentation depth of the magnetorheological machining polishing wheel, and it is iterated cyclically until the iteration condition is met to obtain the machining modification coefficient and the corresponding indentation depth; the corresponding residence time distribution is calculated according to the machining modification coefficient and the corresponding indentation depth to obtain the machining modification coefficient, the corresponding indentation depth and the corresponding residence time distribution of the element to be processed, so that multi-indentation parameter processing can be realized in a single process, thereby improving the machining efficiency and machining accuracy of continuous phase elements.

[0092] like Figure 5 As shown, some embodiments of the present application provide a variable pressure deep magnetorheological processing system, the system includes an acquisition module 510, a decomposition module 520, a construction module 530, an iteration module 540, and a calculation module 550, specifically: The acquisition module 510 is used to acquire the initial residual error of the component to be processed and randomly generate the initial modification coefficient of the component to be processed.

[0093] The decomposition module 520 is used to decompose the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, and the spatial characteristics of any two sub-residual error distributions are different.

[0094] The construction module 530 is used to construct a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, and the magnetorheological machining polishing wheel is used to process the component to be processed.

[0095] The iteration module 540 is used to match each sub-residual error distribution with the indentation depth of the magnetorheological polishing wheel based on the mapping relationship, and iterate cyclically until the iteration condition is met to obtain the machining modification coefficient and the corresponding indentation depth.

[0096] The calculation module 550 is used to calculate the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth, and obtain the machining modification coefficient, the corresponding indentation depth and the corresponding residence time distribution of the component to be machined.

[0097] In some implementations, the decomposition module 520 may include: ; ; in, is the initial residual error of the current magnetorheological processing point, is the initial modification coefficient.

[0098] In some embodiments, the building block 530 may include defining a penetration depth of the magnetorheological machining polishing wheel.

[0099] In some implementations, the construction module 530 may include: obtaining a removal function corresponding to the penetration depth of the magnetorheological machining polishing wheel.

[0100] In some embodiments, the construction module 530 may include: constructing a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth according to the indentation depth and the removal function.

[0101] In some implementations, the construction module 530 may include: ; ; ; in, The axis is the axis direction of the magnetorheological polishing wheel. The axis is the tangent direction of the lowest point of the magnetorheological polishing wheel. The axis is the normal direction of the lowest point of the magnetorheological polishing wheel. is the radius of the magnetorheological polishing wheel, is the thickness of the magnetorheological fluid ribbon at the lowest point of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the surface equation of the component to be processed, To remove the function intensity, To remove the function The two-dimensional Fourier transform of Indicates the removal of function shaping capability.

[0102] In some implementations, the iteration module 540 may include: performing machining simulation on the sub-residual error distribution according to the modification coefficient and the corresponding indentation depth during the iteration process to obtain a simulation machining result.

[0103] In some implementations, the iteration module 540 may include: calculating a root mean square of the sub-residual error distribution according to the simulation processing result, and establishing an adaptive function of the sub-residual error distribution.

[0104] In some implementations, the calculation module 550 may include: ； ; in, is the residual error of the current magnetorheological processing point, and is the integration variable, is the removal function of the current magnetorheological processing point, is the residence time of the current magnetorheological processing point.

[0105] In some implementations, the iteration module 540 may include: the iteration condition includes an adaptive function based on the sub-residual error distribution, and the root mean square satisfies a preset range.

[0106] It should be noted that the variable-pressure deep magnetorheological processing system provided in this embodiment and the above-mentioned variable-pressure deep magnetorheological processing method are based on the same inventive concept. Therefore, the relevant content of the above-mentioned variable-pressure deep magnetorheological processing method is also applicable to the content of the variable-pressure deep magnetorheological processing system. Therefore, it will not be repeated here.

[0107] In order to obtain the initial residual error of the component to be processed, the system randomly generates the initial modification coefficient of the component to be processed; decomposes the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions; constructs a mapping relationship between the indentation depth of the magnetorheological machining polishing wheel and the modification ability corresponding to the indentation depth; based on the mapping relationship, matches each sub-residual error distribution with the indentation depth of the magnetorheological machining polishing wheel, iterates repeatedly until the iteration condition is met, and obtains the machining modification coefficient and the corresponding indentation depth; calculates the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth, and obtains the machining modification coefficient, the corresponding indentation depth and the corresponding residence time distribution of the component to be processed. In this way, multi-indentation parameter machining can be realized in a single process, and the machining efficiency and machining accuracy of continuous phase components can be improved.

[0108] An embodiment of the present application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor implements the above-mentioned variable pressure deep magnetorheological processing method when executing the computer program.

[0109] like Figure 6 , Figure 6 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application, wherein the electronic device includes: At least one battery; at least one memory; at least one processor; at least one program; The program is stored in the memory, and the processor executes at least one program to implement the above-mentioned variable pressure deep magnetorheological processing method implemented in the present disclosure.

[0110] The electronic device may be any intelligent terminal including a mobile phone, a tablet computer, a personal digital assistant (PDA), a vehicle-mounted computer, etc.

[0111] The electronic device according to the embodiment of the present application is described in detail below.

[0112] The processor 1600 may be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present disclosure; The memory 1700 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1700 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1700, and the processor 1600 is called to execute a variable-pressure deep magnetorheological processing method of the embodiment of the present disclosure.

[0113] Input / output interface 1800, used to implement information input and output; Communication interface 1900, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.); Bus 2000 , which transmits information between various components of the device (e.g., processor 1600 , memory 1700 , input / output interface 1800 , and communication interface 1900 ); The processor 1600 , the memory 1700 , the input / output interface 1800 , and the communication interface 1900 are connected to each other in communication within the device via the bus 2000 .

[0114] The embodiment of the present disclosure also provides a storage medium, which is a computer-readable storage medium. The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned variable-pressure deep magnetorheological processing method.

[0115] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0116] The embodiments described in the embodiments of the present disclosure are intended to more clearly illustrate the technical solutions of the embodiments of the present disclosure and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0117] Those skilled in the art will appreciate that the technical solutions shown in the figures do not limit the embodiments of the present disclosure and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0118] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0120] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0121] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0122] In the several embodiments provided in the present 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 only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0123] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0124] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0125] 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 the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable an electronic device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store programs.

[0126] The above is a specific description of the preferred implementation of the embodiments of the present application, but the embodiments of the present application are not limited to the above-mentioned implementation methods. Technical personnel familiar with the field can also make various equivalent modifications or substitutions without violating the spirit of the embodiments of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the embodiments of the present application.

[0127] The embodiments of the present application are described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present application.

Claims

1. A variable pressure deep magnetorheological processing method, characterized in that: The method comprises: Acquire an initial residual error of a component to be processed, and randomly generate an initial modification coefficient of the component to be processed; Decomposing the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, wherein the spatial characteristics of any two sub-residual error distributions are different; Constructing a mapping relationship between the indentation depth of a magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, wherein the magnetorheological machining polishing wheel is used to process the component to be processed; Based on the mapping relationship, each sub-residual error distribution is matched with the indentation depth of the magnetorheological polishing wheel, and the process is iterated repeatedly until the iteration condition is met, so as to obtain the machining modification coefficient and the corresponding indentation depth; The corresponding residence time distribution is calculated according to the machining modification coefficient and the corresponding pressing depth, so as to obtain the machining modification coefficient, the corresponding pressing depth and the corresponding residence time distribution of the component to be machined.

2. The variable pressure deep magnetorheological processing method according to claim 1, characterized in that: The initial residual error is decomposed according to the initial modification coefficient to obtain a calculation formula for at least two sub-residual error distributions, including: ； ； in, is the initial residual error of the current magnetorheological processing point, is the initial modification coefficient.

3. The variable pressure deep magnetorheological processing method according to claim 2, characterized in that: The mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed, including: Defining the indentation depth of the magnetorheological polishing wheel; Obtaining a removal function corresponding to the indentation depth of the magnetorheological polishing wheel; According to the indentation depth and the removal function, a mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed.

4. The variable pressure deep magnetorheological processing method according to claim 3, characterized in that: The mapping relationship between the indentation depth of the magnetorheological polishing wheel and the shaping capability corresponding to the indentation depth is constructed according to the indentation depth and the removal function, including: ； ； ； in, The axis is the axis direction of the magnetorheological polishing wheel. The axis is the tangent direction of the lowest point of the magnetorheological polishing wheel. The axis is the normal direction of the lowest point of the magnetorheological polishing wheel. is the radius of the magnetorheological polishing wheel, is the thickness of the magnetorheological fluid ribbon at the lowest point of the magnetorheological polishing wheel, is the indentation depth at the lowest point of the magnetorheological polishing wheel, is the surface equation of the component to be processed, To remove the function intensity, To remove the function The two-dimensional Fourier transform of Indicates the removal of function shaping capability.

5. The variable pressure deep magnetorheological processing method according to claim 2, characterized in that: The iteration includes: Performing machining simulation on the sub-residual error distribution according to the modification coefficient and the corresponding indentation depth in the iteration process to obtain a simulation machining result; The root mean square of the sub-residual error distribution is calculated according to the simulation processing result, and an adaptability function of the sub-residual error distribution is established.

6. The variable pressure deep magnetorheological processing method according to claim 2, characterized in that: The calculation formula for calculating the corresponding residence time distribution according to the machining modification coefficient and the corresponding indentation depth includes: ； ； in, is the residual error of the current magnetorheological processing point, and is the integration variable, is the removal function of the current magnetorheological processing point, is the residence time of the current magnetorheological processing point.

7. The variable pressure deep magnetorheological processing method according to claim 5, characterized in that: The iteration condition includes: based on the adaptability function of the sub-residual error distribution, the root mean square satisfies a preset range.

8. A variable pressure deep magnetorheological processing system, characterized in that: The system comprises: An acquisition module, used for acquiring an initial residual error of a component to be processed, and randomly generating an initial modification coefficient of the component to be processed; A decomposition module, used for decomposing the initial residual error according to the initial modification coefficient to obtain at least two sub-residual error distributions, wherein the spatial characteristics of any two sub-residual error distributions are different; A construction module is used to construct a mapping relationship between the indentation depth of a magnetorheological machining polishing wheel and the shaping capability corresponding to the indentation depth, wherein the magnetorheological machining polishing wheel is used to process the component to be processed; An iteration module is used to match each sub-residual error distribution with the indentation depth of the magnetorheological polishing wheel based on the mapping relationship, and iterate cyclically until the iteration condition is met to obtain the machining modification coefficient and the corresponding indentation depth; The calculation module is used to calculate the corresponding residence time distribution according to the machining modification coefficient and the corresponding pressing depth, so as to obtain the machining modification coefficient, the corresponding pressing depth and the corresponding residence time distribution of the component to be processed.

9. An electronic device, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute a variable pressure deep magnetorheological processing method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute a variable-pressure deep magnetorheological processing method as described in any one of claims 1 to 7.

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