Method and system for optimizing fine carving forming process of mobile phone card holder

Abstract

The invention discloses a method and a system for optimizing a fine carving forming process of a mobile phone card holder, and belongs to the field of metal material machining process optimizing.The method comprises the following steps: activating sensing data for real-time acquisition, and setting a flutter state index; the initial machining parameters are traversed to carry out cutting analysis, a cutting force data set is determined to carry out simulation layered cutting on the to-be-machined mobile phone card holder, a fine carving three-dimensional model is generated to carry out multi-layer comparison, and a corresponding relation exists between multiple cutting force deviation values and multiple layers of the fine carving three-dimensional model; and forming correction is conducted on the cutting force data set in the reverse direction based on the multiple cutting force deviation values, the flutter state indexes are updated according to the correction result, and a vibration optimization machining parameter set is generated to conduct fine carving machining forming on the mobile phone card support to be machined. The technical problems that in the prior art, due to the fact that mobile phone card holder fine carving forming lacks a systematic flutter monitoring and parameter optimization mechanism, the stability of the machining process is poor, parameter adjustment is blind, the card holder size precision is insufficient, and the production efficiency is low are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the field of metal material processing process optimization, in particular to a mobile phone card holder precision engraving forming process optimization method and system. BACKGROUND

[0002] Smartphones are rapidly developing in the direction of lightness and high integration, and the requirements for size accuracy and surface finish of the mobile phone card holder, as a key component for bearing core cards, are continuously increasing.

[0003] Current mainstream precision engraving processing technology mainly relies on manual experience to set initial parameters, lacks dynamic optimization mechanism, and is difficult to adapt to the processing characteristics of card holders of different materials, resulting in low processing efficiency, unstable product quality, and inability to meet the production needs of high-end models. SUMMARY

[0004] The application provides a mobile phone card holder precision engraving forming process optimization method and system, aiming to solve the technical problems of poor processing process stability, blind parameter adjustment, insufficient card holder size accuracy and low production efficiency caused by the lack of systematic chatter monitoring and parameter optimization mechanism in the prior art.

[0005] In view of the above problems, the application provides a mobile phone card holder precision engraving forming process optimization method and system.

[0006] The first aspect of the application provides a mobile phone card holder precision engraving forming process optimization method, which comprises the following steps: activating sensing data for real-time collection by calling initial processing parameters of a precision engraving device, and setting a chatter state index; performing cutting analysis on the initial processing parameters according to the chatter state index, determining a cutting force data set, simulating layered cutting on a mobile phone card holder to be processed, generating a precision engraving three-dimensional model for multi-layer comparison, and generating a plurality of cutting force deviation values, wherein the plurality of cutting force deviation values have a corresponding relationship with the multi-layers of the precision engraving three-dimensional model; performing forming correction on the cutting force data set based on the plurality of cutting force deviation values, updating the chatter state index according to the correction result, and generating a vibration optimization processing parameter set of the precision engraving device to perform precision engraving processing and forming on the mobile phone card holder to be processed.

[0007] Another aspect of the present application provides a mobile phone card holder precision carving forming process optimization system, which comprises: a real-time acquisition module configured to acquire initial machining parameter activation sensing data of a precision carving device for real-time acquisition and set a chatter state index; a deviation value generation module configured to traverse the initial machining parameters according to the chatter state index to perform cutting analysis, determine a cutting force data set to simulate layered cutting on a mobile phone card holder to be machined, generate a precision three-dimensional model for multi-layer comparison, and generate a plurality of cutting force deviation values, wherein the plurality of cutting force deviation values correspond to the layers of the precision three-dimensional model; and a machining parameter set generation module configured to perform forming correction on the cutting force data set based on the plurality of cutting force deviation values, update the chatter state index according to the correction result, and generate a vibration optimization machining parameter set of the precision carving device to perform precision carving machining on the mobile phone card holder to be machined.

[0008] The one or more technical solutions provided in the present application have at least the following technical effects or advantages: Due to the systematic technical solutions of acquiring vibration data by activation sensing, setting a chatter index, traversing parameters to simulate cutting to construct a precision carving model, generating cutting force deviation values through multi-layer comparison, and updating the index by reverse correction of parameters, the technical problems of lack of systematic chatter monitoring and parameter optimization mechanism in the prior art, poor machining stability, blind parameter adjustment, insufficient dimensional accuracy, and low production efficiency are solved, and the technical effects of improving machining stability and accuracy, reducing invalid trial cutting, and ensuring batch production quality are achieved.

[0009] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the following detailed embodiments of the present application can be implemented in accordance with the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following detailed embodiments of the present application are provided. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1 A flowchart of a mobile phone card holder precision carving forming process optimization method is provided for the embodiments of the present application; Figure 2 A flowchart of determining a cutting force data set to simulate layered cutting on a mobile phone card holder to be machined in a mobile phone card holder precision carving forming process optimization method is provided for the embodiments of the present application; Figure 3 A structural diagram of a mobile phone card holder precision carving forming process optimization system is provided for the embodiments of the present application.

[0011] Explanation of reference numerals: real-time acquisition module 11, deviation value generation module 12, and machining parameter set generation module 13. DETAILED DESCRIPTION

[0012] The technical scheme provided by the application has the following general idea: The embodiment of the application provides a mobile phone card holder precision engraving forming process optimization method and system. First, vibration data is collected through sensing to set a chatter index, then initial parameters are traversed to simulate layered cutting to build a precision engraving model, cutting force deviation values are obtained by comparing with an actual model, parameters are corrected in reverse and the chatter index is updated, a closed loop optimization is formed, and precise optimization of the mobile phone card holder precision engraving process is realized.

[0013] After introducing the basic principle of the application, various non-limiting embodiments of the application will be specifically introduced in combination with the drawings of the specification. Embodiment 1

[0014] As shown in the drawings, Figure 1 The embodiment of the application provides a mobile phone card holder precision engraving forming process optimization method, which comprises the following steps. Step S100: The initial machining parameters of the precision engraving equipment are called to activate the sensing data for real-time collection, and a chatter state index is set.

[0015] Specifically, the initial machining parameters of the precision engraving equipment refer to the basic process parameters preset according to the card holder material before the precision engraving machine processes the mobile phone card holder, such as spindle speed, feed speed, cutting depth, etc. The chatter state index is used to quantitatively determine whether the equipment is chattering and the standard of the degree of chatter.

[0016] First, the preset initial machining parameters are called through the numerical control control system of the precision engraving equipment, the sensing equipment installed at the key positions of the equipment is activated according to the machining characteristics corresponding to these parameters, the analog signals captured by the sensor are converted into processable digital signals through a data acquisition card, the real-time collection of sensing data such as vibration acceleration and cutting temperature is realized, and the sampling focus of the sensor is adjusted according to the machining requirements of card holders of different materials. Then, the high-frequency vibration data collected is analyzed by using data processing software, and the chatter state index suitable for the current card holder material is set according to the machining requirements.

[0017] This step provides accurate state determination basis for subsequent cutting parameter optimization, and further guarantees the stability of the mobile phone card holder machining process and reduces the unqualified products caused by chatter.

[0018] Step S200: According to the chatter state index, the initial machining parameters are traversed for cutting analysis, the cutting force data set is determined for simulation layered cutting on the mobile phone card holder to be processed, a precision engraving three-dimensional model is generated for multi-layer comparison, and a plurality of cutting force deviation values are generated. The plurality of cutting force deviation values have a corresponding relationship with the plurality of layers of the precision engraving three-dimensional model.

[0019] Specifically, layered cutting refers to splitting the three-dimensional model of the card holder to be processed into multiple layers in the actual processing direction, such as the card holder thickness direction and the edge contour direction, and simulating the fine carving cutting process layer by layer, for example, splitting a thin card holder into a surface layer, a middle layer, and a bottom layer in the thickness direction, and simulating the layer-by-layer cutting of the tool from the surface layer to the bottom layer. The geometric information of the fine carving three-dimensional model card holder incorporates key process data of fine carving processing, such as cutting path, layered cutting trace, and simulated stress state, and is mainly used for simulation and process verification or processing effect prediction of fine carving processing. After comparing the cutting force deviation value fine carving three-dimensional model with the actual fine carving three-dimensional model, the difference value of each layered cutting force is calculated, and each deviation value corresponds to a specific layer of the model, such as the difference value of the cutting force of the surface layer of the simulation model and the cutting force of the actual model, and the corresponding difference value of the middle layer cutting force.

[0020] Specifically, based on the preset chatter state index, different combinations of initial processing parameters are verified one by one using a parameter analysis tool such as MATLAB, and parameter combinations that may trigger chatter are removed; then, cutting dynamics calculation is performed on each parameter combination after screening, the stress condition of the tool when cutting the card holder under different parameters is analyzed, a cutting force data set containing radial force and axial force is generated, then an initial three-dimensional model of the card holder to be processed is constructed using a three-dimensional modeling software, the model is split into a surface layer, a middle layer, a bottom layer and other multiple layers to be cut according to the actual processing direction, and the cutting force data set is imported into a finite element simulation software to simulate the fine carving cutting process of each layer in sequence, and the stress and strain data of each layer are obtained, and a simulation fine carving three-dimensional model is constructed based on these data; at the same time, the processing log data of the historical qualified card holder is called, an actual fine carving three-dimensional model is constructed using the same modeling software, and the layers are split in the same way; then, a model comparison tool is used to compare the geometric characteristics of each layer of the simulation model with the corresponding layer of the actual model, and a mechanical calculation software is used to convert the geometric deviation into the corresponding cutting force difference to generate the cutting force deviation value of each layer, ensuring that each deviation value can accurately correspond to a specific layer of the model.

[0021] This step provides a clear direction for subsequent reverse correction of cutting parameters, eliminating the need for repeated trial cutting and wasting materials, while improving the accuracy of the cutting force data, laying a foundation for subsequent optimization of processing parameters and ensuring the accuracy of card holder processing, significantly reducing production costs and improving the yield of finished products.

[0022] Step S300: Based on the plurality of cutting force deviation values, the cutting force data set is reversely shaped and corrected, the chatter state index is updated according to the correction result, and a vibration optimization processing parameter set of the fine carving equipment is generated to fine carve and form the mobile phone card holder to be processed.

[0023] Specifically, the vibration-optimized machining parameter set refers to a combination of machining parameters such as spindle speed and feed speed that can reduce chatter and ensure accuracy, which is generated based on the correction results and the updated chatter index.

[0024] Specifically, the cutting force dataset is shaped and corrected using a back propagation algorithm based on multiple cutting force deviation value input parameters, the cutting force parameters to be adjusted are calculated in reverse through the deviation value, so that the corrected dataset is more consistent with the actual machining mechanical requirements; the correction results are compared and analyzed with the original chatter state index, the chatter state index is updated, the corrected cutting force data is converted into specific machining parameters combined with the updated chatter index, a vibration-optimized machining parameter set is generated, and the parameter set is imported into the numerical control system of the fine carving equipment to perform actual fine carving machining on the mobile phone card holder to be machined.

[0025] In this step, the reverse correction based on the cutting force deviation value makes the cutting force data more realistic, avoiding the accuracy error caused by the disconnection between the simulation ideal value and the actual machining.

[0026] Further, the initial machining parameters of the fine carving equipment are activated to collect real-time sensing data, and the chatter state index is set, the method comprising: activating the vibration sensor based on the initial machining parameters to collect three-dimensional vibration acceleration signals, sampling the vibration frequency according to the three-dimensional vibration acceleration signals, and capturing high-frequency vibration data; converting the high-frequency vibration data to the frequency domain for frequency spectrum analysis, obtaining the vibration frequency spectrum; dividing the vibration frequency spectrum according to the vibration frequency, obtaining multiple characteristic frequency bands for distribution calculation, and generating energy distribution characteristics; comparing the energy distribution characteristics with the preset energy fluctuation amplitude, identifying the chatter parameter set for stability division, and setting the chatter state index.

[0027] Specifically, the three-dimensional vibration acceleration signal refers to the signal collected by the vibration sensor along the X, Y and Z spatial directions, reflecting the vibration intensity of the fine carving equipment, which can comprehensively capture the multi-dimensional vibration state of the equipment during machining. The high-frequency vibration data refers to the vibration data with higher frequency selected from the three-dimensional vibration acceleration signal, which is usually directly related to the equipment chatter, such as high-frequency vibration data generated by the spindle due to increased cutting resistance when machining stainless steel mobile phone card holder, which is different from the low-frequency vibration data of the equipment in normal operation. The characteristic frequency band is a specific frequency interval divided according to the frequency distribution of the vibration frequency spectrum, according to the machining requirements, such as dividing the frequency spectrum into low-frequency band, normal operation vibration of the equipment, medium-frequency band, cutting load vibration, high-frequency band, chatter-related vibration, different frequency bands correspond to different equipment operating states. The energy distribution characteristics refer to the distribution law obtained by calculating the vibration energy in each characteristic frequency band, reflecting the energy proportion of different frequency band vibrations, such as high-frequency vibration energy proportion, indicating that the equipment has a risk of chatter.

[0028] Specifically, based on the initial machining parameters of the fine carving equipment, a three-direction vibration sensor installed at a key position of the equipment is activated, the sensor collects vibration signals of the equipment in real time along the X, Y and Z directions, and high-frequency vibration data related to chatter is screened out, i.e. low-frequency vibration interference during normal operation of the equipment is excluded; then, using a data processing software such as MATLAB, fast Fourier transform is performed on the high-frequency vibration data to convert the vibration acceleration signal in the time domain into a frequency domain signal, and a vibration frequency spectrum is generated through frequency spectrum analysis; subsequently, according to the process characteristics of fine carving, the vibration frequency spectrum is divided into multiple characteristic frequency bands such as low-frequency band, medium-frequency band and high-frequency band according to frequency, vibration energy of each frequency band is calculated, and energy distribution characteristics are generated; finally, the energy distribution characteristics are compared with a preset energy fluctuation amplitude, if the energy of a certain characteristic frequency band exceeds the preset range, the vibration parameters corresponding to the frequency band are included in the chatter parameter set, and the stability of the equipment is divided according to the degree of excess, such as mild chatter, moderate chatter and severe chatter, and finally the chatter state index suitable for the current machining scene is set.

[0029] This step sets the chatter state index based on actual machining data, which can adapt to the machining characteristics of card holders of different materials, provide accurate state basis for subsequent cutting parameter optimization, reduce invalid machining attempts, and improve overall machining efficiency and product qualification rate.

[0030] Further, as shown in Figure 2 According to the chatter state index, the initial machining parameters are traversed for cutting analysis, and a cutting force data set is determined for simulation layering cutting of the to-be-machined mobile phone card holder. The method comprises the following steps: based on the chatter state index, the initial machining parameters are divided numerically to determine a plurality of parameter combinations; cutting dynamics calculation is performed according to the plurality of parameter combinations to obtain cutting force fluctuation data for machining screening, and a cutting force data set is generated; a three-dimensional model of the to-be-machined mobile phone card holder is constructed, and the three-dimensional model of the to-be-machined mobile phone card holder is layered along the machining direction based on the cutting force data set to determine a plurality of to-be-cut layers; finite element simulation cutting calculation is performed according to the plurality of to-be-cut layers to obtain multi-layer simulation cutting data, and the multi-layer simulation cutting data comprises stress distribution simulation data and strain distribution simulation data; three-dimensional registration alignment is performed according to the stress distribution simulation data and the strain distribution simulation data, and the fine carving three-dimensional model is constructed.

[0031] Specifically, cutting dynamics calculation refers to the mechanical process of analyzing the interaction between the tool and the card holder based on the principle of cutting. Cutting force fluctuation data refers to the data of the change of cutting force with time or machining position during cutting, which reflects the cutting stability.

[0032] Specifically, based on the chatter state index, the initial machining parameters are numerically divided by a parameter analysis tool, such as MATLAB, for example, the spindle speed is divided into low, medium and high three sections, the feed speed is divided into low and medium two sections, the combinations that may trigger chatter are excluded to determine multiple effective parameter combinations, these parameter combinations are imported into cutting dynamics software, such as ANSYS Workbench, to calculate the cutting force fluctuation data under each combination, and the data set with stable fluctuation is screened out to generate the cutting force data set; then a three-dimensional modeling software, such as UG, is used to construct the initial three-dimensional model of the card holder to be machined, and based on the cutting force data set, the model is split into multiple layers to be cut, such as surface layer, middle layer and bottom layer along the machining direction; then each layered model and the corresponding cutting force data are imported into the finite element simulation software to perform simulation cutting calculation to obtain the stress distribution simulation data and the strain distribution simulation data of each layer; finally, a three-dimensional registration tool is used, such as Geomagic Control X using the nearest point iterative algorithm, to accurately align the multi-layer simulation data in space based on the stress concentration points and strain feature points.

[0033] This step can accurately restore the mechanical state of each cutting stage through layered simulation and three-dimensional registration, significantly improving the consistency of the fine carving three-dimensional model with the actual machining process, and providing a high-precision digital basis for subsequent model comparison and cutting force deviation calculation.

[0034] Further, the stress distribution simulation data and the strain distribution simulation data are used for three-dimensional registration and alignment to construct the fine carving three-dimensional model, and the method comprises: mapping the multi-layer simulation cutting data to the multiple layers to be cut for positioning, and delimiting stress concentration areas and plastic deformation areas; based on the stress distribution simulation data, maximum value identification is performed on the stress concentration areas to extract target stress point position information; based on the strain distribution simulation data, strain gradient analysis is performed on the plastic deformation areas to extract strain gradient features; the multiple layers to be cut are traversed, and equivalent calculation is performed in combination with the target stress point position information and the strain gradient features to obtain multi-layer equivalent stress features and multi-layer equivalent strain distribution features; based on the multi-layer equivalent stress features and the multi-layer equivalent strain distribution features, intersection analysis is performed on adjacent layers of the multiple layers to be cut to obtain common feature points, and the common feature points include stress concentration points and strain feature points; the multiple layers to be cut are registered by the nearest point iteration based on the stress concentration points and the strain feature points to construct the fine carving three-dimensional model.

[0035] Specifically, the stress concentration area refers to a region in the simulation cutting where the stress is significantly higher than the surrounding region due to shape mutations such as corner of the card slot or edge. The plastic deformation area refers to a region in the simulation cutting where the card holder material is permanently deformed due to stress exceeding the elastic limit. The maximum value identification refers to the process of finding the point with the maximum stress value from the stress distribution data, which is used to locate the position most likely to be damaged due to excessive stress, such as the point with the highest stress value in the stress concentration area of the card holder corner. The strain gradient feature is used to describe the characteristic parameters of deformation variation.

[0036] Specifically, the multi-layer simulation cutting data is correspondingly mapped to each layer to be cut, and the stress concentration area and the plastic deformation area are delineated in each layer using finite element post-processing software such as ANSYS Post. Then, based on the stress distribution simulation data, the maximum value identification is performed on each stress concentration area to extract the target stress point position information. At the same time, based on the strain distribution simulation data, the strain gradient analysis is performed on the plastic deformation area to extract the strain gradient features such as the increasing strain along the thickness direction of the middle layer edge. Subsequently, all layers to be cut are traversed, and the equivalent calculation is performed combining the target stress point position information and the strain gradient features to convert the stress / strain data of each layer to a unified standard, obtaining the multi-layer equivalent stress features and the multi-layer equivalent strain distribution features. Then, for adjacent layers, the intersection analysis is performed on the equivalent stress / strain features using three-dimensional analysis software to find the common feature points. Finally, the nearest point iterative registration algorithm is used to take these common feature points as the reference, and the spatial positions of adjacent layers are optimized through iteration to complete the registration of all layers to be cut layer by layer.

[0037] This step accurately captures the key mechanical features in the card holder processing by identifying the stress concentration points and the strain gradient features, providing a reliable reference for registration. The nearest point iterative registration algorithm can effectively eliminate the spatial deviation between layers, making the mechanical data of each layer seamlessly connected in three-dimensional space, significantly improving the integrity and accuracy of the precision carving three-dimensional model, reducing the process adjustment errors caused by model distortion, and ultimately improving the processing precision and consistency of the mobile phone card holder.

[0038] Further, the plurality of to-be-cut layers are iteratively registered based on the stress concentration points and the strain characteristic points, and the fine carving three-dimensional model is constructed, and the method comprises: identifying adjacent layers based on the stress concentration points and the strain characteristic points to obtain an adjacent layer characteristic point set; performing nearest point transformation analysis on the adjacent layer characteristic point set to construct an initial transformation matrix; iteratively calculating characteristic point distance errors based on the initial transformation matrix to obtain a plurality of characteristic point distance error values; minimizing the plurality of characteristic point distance error values as an iterative condition, and iteratively optimizing the initial transformation matrix based on the minimum characteristic point distance error value, and setting a registration accuracy value; and registering the plurality of to-be-cut layers based on the registration accuracy value to construct the fine carving three-dimensional model.

[0039] Specifically, adjacent layer identification refers to adding associated markers to consecutive to-be-cut layers to clearly indicate the order and corresponding relationship between layers. The registration accuracy value refers to the maximum value of the allowed characteristic point distance error, which is the judgment standard for registration qualification.

[0040] Specifically, based on the stress concentration points and the strain characteristic points, adjacent to-be-cut layers, such as L1 and L2, are identified, and corresponding characteristic points of the two layers are extracted to form an adjacent layer characteristic point set, such as A point of L1, a point of L2, B point of L1, and b point of L2. Nearest point transformation analysis is performed on the characteristic point set to calculate the spatial transformation relationship that can preliminarily match the L1 characteristic points to the L2 characteristic points, and an initial transformation matrix is constructed. Then, the initial transformation matrix is iterated to convert the characteristic point coordinates of L1 to the coordinate system of L2, calculate the spatial distance between the converted characteristic points and the corresponding characteristic points of L2, and obtain a plurality of characteristic point distance error values. Subsequently, these error values are used as iterative conditions, and an optimization algorithm such as the Levenberg-Marquardt algorithm is used to minimize the error values. By repeatedly adjusting the translation and rotation parameters of the transformation matrix, the error values are gradually reduced until the preset registration accuracy value is reached, and the iterative optimization of the initial transformation matrix is completed. Finally, L1 and L2 are accurately aligned according to the optimized transformation matrix and the registration accuracy value, and other adjacent layers such as L2 and L3 are processed in the same way. Finally, all to-be-cut layers are seamlessly spliced to construct a complete fine carving three-dimensional model.

[0041] This step uses stress concentration points and strain characteristic points as registration reference points to ensure the physical meaning of registration and avoid the blindness of random point registration. On the other hand, the iteratively optimized transformation matrix can control the characteristic point distance error of adjacent layers within the registration accuracy value, enabling seamless connection of each layer in three-dimensional space and significantly improving the overall consistency of the fine carving three-dimensional model.

[0042] Further, a fine carving three-dimensional model is generated for multi-layer comparison, and a plurality of cutting force deviation values are generated. The method comprises: constructing an actual fine carving three-dimensional model based on historical mobile phone card holder fine carving forming data records; layering the actual fine carving three-dimensional model according to the plurality of to-be-cut layers to obtain a plurality of layered sections; comparing the multi-layer simulation cutting data with the plurality of layered sections in terms of geometric features to calculate multi-layer geometric deviation amounts; and performing cutting calculation based on the multi-layer geometric deviation amounts to obtain the plurality of cutting force deviation values.

[0043] Specifically, the actual fine carving three-dimensional model is a three-dimensional model reflecting the true qualified card holder morphology, which is constructed based on historical data records and serves as a reference for the simulation model. The equal-thickness layering refers to splitting the actual fine carving three-dimensional model along the processing direction according to the same thickness to ensure that the thickness of each layer is uniform.

[0044] Specifically, key data is extracted from historical mobile phone card holder fine carving forming data records, and an actual fine carving three-dimensional model is constructed using three-dimensional modeling software. The actual fine carving three-dimensional model is then layering according to the thickness of the plurality of to-be-cut layers to obtain a plurality of layered sections consistent with the number and thickness of the simulation layers. Then, using three-dimensional comparison software such as GOMInspect, the multi-layer simulation cutting data is compared with the corresponding actual layered sections in terms of geometric features, such as the edge straightness and the position of the card slot center. The geometric deviation amounts of each layer are calculated. Based on these multi-layer geometric deviation amounts, combined with the material mechanics parameters of the mobile phone card holder, the cutting force is converted to obtain the cutting force deviation value corresponding to each layer, ensuring that each deviation value accurately corresponds to a specific layer of the fine carving three-dimensional model.

[0045] This step constructs an actual fine carving three-dimensional model based on historical qualified data, providing a real and reliable reference for the simulation model, avoiding meaningless comparison of virtual simulation with virtual standards. This process makes subsequent parameter correction more targeted, reduces material waste caused by blind trial cutting, and improves the practicality of cutting force data, providing accurate basis for final optimization of processing parameters and ensuring card holder machining precision, significantly improving product qualification rate and production efficiency.

[0046] Further, based on the multi-layer geometric deviation amounts, cutting calculation is performed to obtain the plurality of cutting force deviation values. The method comprises: numbering the plurality of to-be-cut layers of the fine carving three-dimensional model to obtain a plurality of layer numbers; performing correlation analysis based on the multi-layer geometric deviation amounts and the plurality of layer numbers to obtain a multi-layer mapping relationship; retrieving the material mechanics parameters of the mobile phone card holder and analyzing them according to the multi-layer mapping relationship based on the multi-layer geometric deviation amounts to construct a geometric-cutting force conversion relationship; and calculating the multi-layer geometric deviation amounts according to the plurality of layer numbers based on the geometric-cutting force conversion relationship to obtain the plurality of cutting force deviation values.

[0047] Specifically, the layer number is a unique identification given to the multiple to-be-cut layers of the fine carving three-dimensional model in the processing order or spatial position, which is used to clearly distinguish different layers and avoid confusion. For example, the five to-be-cut layers (from the surface layer to the bottom layer) of the aluminum alloy mobile phone card holder are numbered L1, L2, L3, L4, and L5 in turn, and each layer number corresponds to a fixed spatial position. The material mechanics parameter refers to the inherent mechanical property parameter of the material used for the mobile phone card holder, such as aluminum alloy and stainless steel, which determines the stress and deformation law of the material in the cutting process. Common parameters include elastic modulus, Poisson's ratio, yield strength, hardness, etc. The geometric-cutting force conversion relationship is a quantitative correspondence between the geometric deviation and the cutting force deviation based on the material mechanics principle or experimental model, which can convert the abstract geometric difference into a calculable mechanical difference.

[0048] Specifically, the fine carving three-dimensional model is opened, and the multiple to-be-cut layers in the model are sequentially numbered in the processing direction. Then, each layer number is associated with the corresponding multi-layer geometric deviation through data processing software for correlation analysis, generating a multi-layer mapping relationship table of "layer number-geometric deviation", ensuring that each deviation corresponds to a unique layer accurately. Then, the mechanical parameters of the current card holder material are retrieved from the material parameter database, and the geometric deviation in the multi-layer mapping relationship is combined to construct the geometric-cutting force conversion relationship using material mechanics calculation tools, such as the quantitative formula "cutting force deviation = (yield strength / elastic modulus) x geometric deviation x cutting area coefficient" derived by material mechanics formula, where the cutting area coefficient is calculated from the cross-sectional area of the card holder layer. Finally, according to the conversion relationship, the geometric deviation corresponding to each layer number is calculated one by one, and finally a plurality of cutting force deviation values corresponding to all layer numbers are obtained.

[0049] This step ensures that each cutting force deviation value can be accurately traced back to a specific layer through layer numbering and mapping relationship, avoiding the blindness of general parameter adjustment. The quantitative conversion relationship based on material mechanics parameters makes the calculation of cutting force deviation values more scientific.

[0050] Further, based on the plurality of cutting force deviation values, the cutting force dataset is corrected in reverse, the method comprising: based on the plurality of cutting force deviation values, the cutting force dataset is optimized in reverse propagation to obtain a cutting force optimized dataset; the cutting force optimized dataset is subjected to spatial interpolation processing to generate a cutting force field, the cutting force field being continuously distributed; based on the continuously distributed cutting force field, the processing position is corrected in shape to construct a three-dimensional cutting force distribution map; the three-dimensional cutting force distribution map is added to the correction result.

[0051] Specifically, the spatial interpolation processing refers to filling the gaps between discrete cutting force data points by mathematical methods, and converting the discrete layered data into continuously distributed spatial data. Common methods include Kriging interpolation, linear interpolation, etc. The cutting force field refers to the overall presentation of the continuously distributed cutting force in three-dimensional space after spatial interpolation, which can reflect the size and direction of the cutting force at different positions of the Kato.

[0052] Specifically, a plurality of cutting force deviation values are input into a parameter optimization tool, such as a back propagation model constructed based on TensorFlow, with the deviation values as the objective function, to optimize the original cutting force data set by back propagation. The adjustment amount of each layer of cutting force is calculated through algorithm iteration, and an optimized cutting force data set is obtained; wherein, regarding the specific back propagation model, the original cutting force data and the cutting force deviation value are input, and the optimized cutting force data is output. A 3-layer fully connected neural network is constructed: the input layer contains original force value and deviation value features, there are 2 hidden layers, and the output layer outputs the optimized force value. The mean square error is used as the loss function, and the cutting force data of historical processing is used for training: the forward propagation calculates the predicted value, the back propagation calculates the gradient of the loss with respect to the weights of each layer through the chain rule, and the weights are updated iteratively using the Adam optimizer until the loss converges, and the model construction is completed.

[0053] Then, the optimized data set is processed using a spatial interpolation tool. The cutting force data of each layer is used as a discrete point to generate a continuously distributed cutting force field in three-dimensional space. The cutting force values at positions not covered by the original layered data are filled by interpolation. Based on the continuous cutting force field, the processing position of the Kato is corrected using three-dimensional modeling software, the processing path corresponding to the abnormal force value area is fine-tuned, and the corrected cutting force distribution is presented in a graphical manner to construct a three-dimensional cutting force distribution map. The three-dimensional distribution map and the optimized cutting force data set are integrated as a complete correction result, which provides a visual and quantitative basis for subsequent chatter index updating and parameter optimization.

[0054] This step accurately eliminates the deviation between the cutting force data and the actual value through back propagation optimization, reducing the error of the optimized data set. The continuous cutting force field generated by spatial interpolation fills the information gaps between the layered data, avoiding the omission of transition zone correction caused by relying only on layered data. This step significantly improves the spatial continuity and accuracy of the cutting force data, providing a more comprehensive basis for subsequent vibration index updating and parameter optimization, further reducing the dimensional error and chatter risk of Kato processing, and improving the consistency of finished products.

[0055] Further, the chatter state index is updated according to the correction result, a vibration optimization machining parameter set of the fine carving equipment is generated, and the mobile phone card holder to be machined is fine carved and formed, the method comprising: performing machining process response analysis based on the three-dimensional cutting force distribution map to obtain process frequency response parameters; evaluating the contribution of the process frequency response parameters to the chatter state index to determine key chatter parameters, updating the chatter state index, and generating a vibration optimization machining parameter set of the fine carving equipment; performing fine carving machining on the mobile phone card holder to be machined by using the vibration optimization machining parameter set, iteratively correcting the vibration optimization machining parameter set based on fine carving forming machining data, and constructing a fine carving forming quality report; and fine carving forming the mobile phone card holder to be machined according to the fine carving forming quality report.

[0056] Specifically, the process frequency response parameter refers to the vibration frequency response characteristic parameter of the equipment to the change of the cutting force in the machining process, reflecting the correlation between the cutting force and the vibration of the equipment Specifically, the three-dimensional cutting force distribution map is imported into frequency spectrum analysis software such as LMS Test.Lab, the correlation between the cutting force at different positions and the vibration of the equipment is analyzed, the process frequency response parameters are obtained, these parameters are traversed, the contribution of the original chatter state index is evaluated by using a contribution rate algorithm such as random forest feature importance evaluation, the key chatter parameters are determined, the chatter state index is updated accordingly, the vibration optimization machining parameter set is generated, the vibration optimization machining parameter set is imported into the fine carving equipment numerical control system, the first batch of card holders to be machined are trial machined, fine carving forming machining data are collected in real time, the machining data are analyzed, the actual result is compared with the expected result, the parameter set is iteratively corrected, a fine carving forming quality report is generated, including the qualified rate, deviation reasons, etc., and the batch of card holders to be machined are processed according to the optimization parameters in the report, so as to ensure the stability of the forming quality.

[0057] This step is based on the process response analysis of the cutting force distribution, so that the chatter index update is more in line with the actual machining mechanics characteristics, and the efficiency loss caused by excessive parameter limitation is avoided; the iterative correction driven by the machining data enables the parameter set to continuously approach the optimal state, and the technical effect of balancing the machining efficiency, high precision and high stability is achieved.

[0058] In summary, the mobile phone card holder fine carving forming process optimization method provided by the embodiments of the present application has the following technical effects: 1. By integrating chatter monitoring, simulation cutting, model comparison and parameter optimization, a closed-loop process system is formed, and the problems of blind parameter adjustment and insufficient chatter prevention and control in traditional mobile phone card holder fine carving are solved. The stability and forming precision of the machining process are improved as a whole, material waste caused by invalid trial cutting is reduced, and a systematic quality guarantee scheme is provided for batch production of card holders.

[0059] 2. Based on the chatter index, the parameters are screened and the simulation cutting is divided into layers, which avoids the risk of using parameters prone to chatter in advance. The layered processing makes the simulation more in line with the characteristics of the actual processing stage, and the precision engraving three-dimensional model can accurately reflect the mechanical state of each stage, laying a high-precision foundation for subsequent comparison with the actual model, and reducing the deviation between simulation and actuality.

[0060] 3. By back propagation optimization and spatial interpolation, the cutting force data is more close to the actual and continuous distribution, filling the information gap between layers. The three-dimensional cutting force distribution diagram intuitively presents the force value distribution, solves the problem of incomplete correction caused by traditional discrete data, provides a more complete mechanical basis for chatter index updating, and improves the pertinence of parameter optimization. Embodiment 2

[0061] Based on the same inventive concept as the phone card holder precision engraving forming process optimization method in the foregoing embodiment, as shown in Figure 3 The embodiment of the application provides a phone card holder precision engraving forming process optimization system, which comprises: a real-time acquisition module 11, which is used for activating sensing data of initial machining parameters of an engraving equipment to perform real-time acquisition, and setting a chatter state index; a deviation value generation module 12, which is used for performing cutting analysis on the initial machining parameters according to the chatter state index, determining a cutting force data set, performing simulation layered cutting on a to-be-machined phone card holder, generating a precision engraving three-dimensional model for multi-layer comparison, and generating a plurality of cutting force deviation values, wherein the plurality of cutting force deviation values have a corresponding relationship with the multiple layers of the precision engraving three-dimensional model; and a machining parameter set generation module 13, which is used for performing forming correction on the cutting force data set based on the plurality of cutting force deviation values, updating the chatter state index according to the correction result, and generating a vibration optimization machining parameter set of the precision engraving equipment to perform precision engraving machining on the to-be-machined phone card holder.

[0062] Further, the real-time acquisition module 11 is further used for performing the following steps: based on the initial machining parameters, activating a vibration sensor to perform three-way acquisition to obtain three-way vibration acceleration signals, performing vibration frequency sampling according to the three-way vibration acceleration signals to capture high-frequency vibration data; converting the high-frequency vibration data to the frequency domain to perform frequency spectrum analysis to obtain a vibration frequency spectrum; dividing the vibration frequency spectrum according to vibration frequencies to obtain a plurality of characteristic frequency bands to perform distribution calculation and generate energy distribution characteristics; comparing the energy distribution characteristics with a preset energy fluctuation amplitude to identify a chatter parameter set to perform stability division, and setting the chatter state index.

[0063] Further, the deviation value generation module 12 is further configured to perform the following steps: based on the chatter state index, performing numerical division on the initial machining parameters to determine a plurality of parameter combinations; performing cutting dynamics calculation according to the plurality of parameter combinations to obtain cutting force fluctuation data for machining screening, and generating a cutting force data set; constructing a three-dimensional model of the to-be-machined mobile phone card holder, layering the three-dimensional model of the to-be-machined mobile phone card holder along the machining direction based on the cutting force data set to determine a plurality of to-be-cut layers; performing finite element simulation cutting calculation according to the plurality of to-be-cut layers to obtain multi-layer simulation cutting data, the multi-layer simulation cutting data including stress distribution simulation data and strain distribution simulation data; and performing three-dimensional registration alignment according to the stress distribution simulation data and the strain distribution simulation data to construct the fine carving three-dimensional model.

[0064] Further, the deviation value generation module 12 is further configured to perform the following steps: mapping the multi-layer simulation cutting data to the plurality of to-be-cut layers for positioning, and demarcating stress concentration areas and plastic deformation areas; performing maximum value identification on the stress concentration areas based on the stress distribution simulation data to extract target stress point position information; performing strain gradient analysis on the plastic deformation areas based on the strain distribution simulation data to extract strain gradient features; performing equivalent calculation on the plurality of to-be-cut layers in combination with the target stress point position information and the strain gradient features to obtain multi-layer equivalent stress features and multi-layer equivalent strain distribution features; performing intersection analysis on adjacent layers of the plurality of to-be-cut layers based on the multi-layer equivalent stress features and the multi-layer equivalent strain distribution features to obtain common feature points, the common feature points including stress concentration points and strain feature points; and performing nearest point iterative registration on the plurality of to-be-cut layers according to the stress concentration points and the strain feature points to construct the fine carving three-dimensional model.

[0065] Further, the deviation value generation module 12 is further configured to perform the following steps: identifying adjacent layer feature points based on the stress concentration points and the strain feature points to obtain an adjacent layer feature point set; performing nearest point transformation analysis according to the adjacent layer feature point set to construct an initial transformation matrix; performing feature point distance calculation on the initial transformation matrix to obtain a plurality of feature point distance error values; taking the plurality of feature point distance error values as iterative conditions, performing minimization processing on the plurality of feature point distance error values, iteratively optimizing the initial transformation matrix according to the minimum feature point distance error value, and setting a registration accuracy value; and performing registration on the plurality of to-be-cut layers according to the registration accuracy value to construct the fine carving three-dimensional model.

[0066] Further, the deviation value generation module 12 is further configured to perform the following steps: constructing an actual engraving three-dimensional model based on a historical mobile phone card template engraving data record log; performing equal-thickness layering on the actual engraving three-dimensional model according to the plurality of to-be-cut layers to obtain a plurality of layering sections; performing geometric feature comparison between the multi-layer simulation cutting data and the plurality of layering sections to calculate a multi-layer geometric deviation amount; and performing cutting calculation based on the multi-layer geometric deviation amount to obtain the plurality of cutting force deviation values.

[0067] Further, the deviation value generation module 12 is further configured to perform the following steps: numbering the plurality of to-be-cut layers of the engraving three-dimensional model to obtain a plurality of layering numbers; performing correlation analysis based on the multi-layer geometric deviation amount in combination with the plurality of layering numbers to obtain a multi-layer mapping relationship; calling material mechanics parameters of a card template to perform analysis according to the multi-layer mapping relationship in combination with the multi-layer geometric deviation amount to construct a geometric-cutting force conversion relationship; and performing calculation on the multi-layer geometric deviation amount according to the plurality of layering numbers according to the geometric-cutting force conversion relationship to obtain the plurality of cutting force deviation values.

[0068] Further, the processing parameter set generation module 13 is further configured to perform the following steps: performing back propagation optimization on the cutting force data set based on the plurality of cutting force deviation values to obtain a cutting force optimized data set; performing spatial interpolation processing on the cutting force optimized data set to generate a cutting force field, the cutting force field being continuously distributed; performing forming correction on a processing position based on the continuously distributed cutting force field to construct a three-dimensional cutting force distribution map; and adding the three-dimensional cutting force distribution map to the correction result.

[0069] Further, the processing parameter set generation module 13 is further configured to perform the following steps: performing processing process response analysis based on the three-dimensional cutting force distribution map to obtain a process frequency response parameter; performing contribution evaluation on the chatter state index by traversing the process frequency response parameter to determine a key chatter parameter to update the chatter state index to generate a vibration optimization processing parameter set of the engraving equipment; performing engraving processing on a to-be-processed mobile phone card template by using the vibration optimization processing parameter set, performing iterative correction on the vibration optimization processing parameter set based on engraving forming processing data to construct an engraving forming quality report; and performing engraving forming on the to-be-processed mobile phone card template according to the engraving forming quality report.

[0070] Any step of the above method can be stored as computer instructions or programs in an unrestricted computer memory and can be called and recognized by an unrestricted computer processor to implement any method in the embodiments of the present application, and no redundant limitation is made herein.

[0071] Further, the first or second possible not only represents the order relationship, but also can represent a specific concept, and / or refers to the single or all selection between multiple elements. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the application. Thus, if these modifications and variations of the present application fall within the scope of the present application and equivalent technology, then the present application is intended to include these modifications and variations.

Claims

1. An optimized method for precision carving and molding of a mobile phone SIM card tray, characterized in that, The method comprises: Call the initial processing parameter activation sensing data of the fine carving equipment for real-time collection, and set the chatter state index; According to the chatter state index, the initial processing parameters are traversed for cutting analysis, the cutting force data set is determined for simulation layered cutting of the mobile phone card holder to be processed, the fine carving three-dimensional model is generated for multi-layer comparison, a plurality of cutting force deviation values are generated, and the plurality of cutting force deviation values have a corresponding relationship with the multi-layer of the fine carving three-dimensional model; Based on the plurality of cutting force deviation values, the cutting force data set is reversely corrected, the chatter state index is updated according to the correction result, and the vibration optimization processing parameter set of the fine carving equipment is generated for fine carving processing of the mobile phone card holder to be processed.

2. The method of claim 1, wherein the method is optimized for a precision molding process of a mobile card holder. Call the initial processing parameter activation sensing data of the fine carving equipment for real-time collection, and set the chatter state index, the method comprising: Based on the initial processing parameter activation vibration sensor, three-dimensional collection is carried out to obtain three-dimensional vibration acceleration signals, vibration frequency sampling is carried out according to the three-dimensional vibration acceleration signals, and high-frequency vibration data are captured; The high-frequency vibration data are converted to the frequency domain for frequency spectrum analysis, and the vibration frequency spectrum is obtained; The vibration frequency spectrum is divided according to the vibration frequency, a plurality of characteristic frequency bands are obtained for distribution calculation, and the energy distribution characteristics are generated; The energy distribution characteristics are compared with the preset energy fluctuation amplitude, the chatter parameter set is identified for stability division, and the chatter state index is set.

3. The method for optimizing the precision carving process of a mobile phone SIM card tray as described in claim 1, characterized in that, According to the chatter state index, the initial processing parameters are traversed for cutting analysis, the cutting force data set is determined for simulation layered cutting of the mobile phone card holder to be processed, and the method comprises: Based on the chatter state index, the initial processing parameters are numerically divided to determine a plurality of parameter combinations; According to the plurality of parameter combinations, cutting dynamics calculation is carried out to obtain cutting force fluctuation data for processing screening, and the cutting force data set is generated; A three-dimensional model of the mobile phone card holder to be processed is constructed, the three-dimensional model of the mobile phone card holder to be processed is layered along the processing direction based on the cutting force data set, and a plurality of to-be-cut layers are determined; According to the plurality of to-be-cut layers, finite element simulation cutting calculation is carried out to obtain multi-layer simulation cutting data, and the multi-layer simulation cutting data includes stress distribution simulation data and strain distribution simulation data; According to the stress distribution simulation data and the strain distribution simulation data, three-dimensional registration alignment is carried out to construct the fine carving three-dimensional model.

4. The method of claim 3, wherein the method is optimized for a precision molding process of a mobile card holder. According to the stress distribution simulation data and the strain distribution simulation data, three-dimensional registration alignment is carried out to construct the fine carving three-dimensional model, and the method comprises: The multi-layer simulation cutting data are mapped to the plurality of to-be-cut layers for positioning, and the stress concentration area and the plastic deformation area are demarcated; Based on the stress distribution simulation data, the maximum value of the stress concentration area is identified, and the target stress point position information is extracted; Based on the strain distribution simulation data, strain gradient analysis is carried out on the plastic deformation area, and strain gradient characteristics are extracted; The plurality of to-be-cut layers are traversed in combination with the target stress point position information and the strain gradient characteristics for equivalent calculation, and multi-layer equivalent stress characteristics and multi-layer equivalent strain distribution characteristics are obtained; Performing intersection analysis on adjacent layers of the plurality of layers to be cut according to the multi-layer equivalent stress feature, the multi-layer equivalent strain distribution feature, and obtaining common feature points, the common feature points including stress concentration points and strain feature points; Performing nearest point iterative registration on the plurality of layers to be cut according to the stress concentration points and the strain feature points, and constructing the fine carving three-dimensional model.

5. The method of claim 4, wherein the method is optimized for a precision molding process of a mobile card holder. Performing nearest point iterative registration on the plurality of layers to be cut according to the stress concentration points and the strain feature points, and constructing the fine carving three-dimensional model, the method comprising: Performing adjacent layer identification based on the stress concentration points and the strain feature points, and obtaining an adjacent layer feature point set; Performing nearest point transformation analysis according to the adjacent layer feature point set, and constructing an initial transformation matrix; Iterating the initial transformation matrix to calculate feature point distance error values; Taking the plurality of feature point distance error values as iterative conditions, performing minimization processing on the plurality of feature point distance error values, iteratively optimizing the initial transformation matrix according to the minimum feature point distance error value, and setting a registration accuracy value; Performing registration on the plurality of layers to be cut according to the registration accuracy value, and constructing the fine carving three-dimensional model.

6. The method of claim 3, wherein the method is optimized for a precision molding process of a mobile card holder. Generating a fine carving three-dimensional model for multi-layer comparison, and generating a plurality of cutting force deviation values, the method comprising: Constructing an actual fine carving three-dimensional model based on historical mobile phone card holder fine carving forming data records; Performing equal-thickness layering on the actual fine carving three-dimensional model according to the plurality of layers to be cut, and obtaining a plurality of layering sections; Performing geometric feature comparison between the multi-layer simulation cutting data and the plurality of layering sections, and calculating multi-layer geometric deviation amounts; Performing cutting calculation based on the multi-layer geometric deviation amounts, and obtaining the plurality of cutting force deviation values.

7. The method for optimizing the precision carving process of a mobile phone SIM card tray as described in claim 6, characterized in that, Performing cutting calculation based on the multi-layer geometric deviation amounts, and obtaining the plurality of cutting force deviation values, the method comprising: Numbering the plurality of layers to be cut of the fine carving three-dimensional model, and obtaining a plurality of layering numbers; Performing correlation analysis based on the multi-layer geometric deviation amounts in combination with the plurality of layering numbers, and obtaining a multi-layer mapping relationship; Retrieving material mechanics parameters of the mobile phone card holder and performing analysis according to the multi-layer mapping relationship based on the multi-layer geometric deviation amounts, and constructing a geometric-cutting force conversion relationship; Performing calculation on the multi-layer geometric deviation amounts according to the plurality of layering numbers according to the geometric-cutting force conversion relationship, and obtaining the plurality of cutting force deviation values.

8. The method of claim 1, wherein the method is used for optimization of a microcellular card holder precision molding process. Performing forming correction on the cutting force data set in reverse based on the plurality of cutting force deviation values, the method comprising: Performing reverse propagation optimization on the cutting force data set based on the plurality of cutting force deviation values, and obtaining a cutting force optimized data set; Performing spatial interpolation processing on the cutting force optimized data set, and generating a cutting force field, the cutting force field being continuously distributed; Performing forming correction on the machining position based on the continuously distributed cutting force field, and constructing a three-dimensional cutting force distribution map; Adding the three-dimensional cutting force distribution map to the correction result.

9. The method for optimizing the precision carving process of a mobile phone SIM card tray as described in claim 8, characterized in that, Updating the chatter state index according to the correction result, and generating a vibration optimization machining parameter set of the fine carving equipment to perform fine carving machining on the mobile phone card holder, the method comprising: Based on the three-dimensional cutting force distribution map, machining process response analysis is performed to obtain process frequency response parameters; The process frequency response parameters are traversed to evaluate the contribution of the chatter state index, the key chatter parameters are updated to update the chatter state index, and a vibration optimization machining parameter set of the fine carving equipment is generated; The vibration optimization machining parameter set is executed to perform fine carving machining on the to-be-machined mobile phone card holder, the vibration optimization machining parameter set is iteratively corrected based on fine carving forming machining data, and a fine carving forming quality report is constructed; According to the fine carving forming quality report, fine carving forming is performed on the to-be-machined mobile phone card holder.

10. A mobile phone SIM card tray precision carving and molding process optimization system, characterized in that, A mobile phone card holder fine carving forming process optimization method for executing any one of the methods of claims 1-9, the system comprising: A real-time acquisition module for acquiring initial machining parameter activation sensing data of the fine carving equipment for real-time acquisition, and setting a chatter state index; A deviation value generation module for traversing the initial machining parameters according to the chatter state index to perform cutting analysis, determining a cutting force data set for simulating layered cutting on the to-be-machined mobile phone card holder, generating a fine carving three-dimensional model for multi-layer comparison, and generating a plurality of cutting force deviation values, the plurality of cutting force deviation values corresponding to the plurality of layers of the fine carving three-dimensional model; A machining parameter set generation module for performing forming correction on the cutting force data set based on the plurality of cutting force deviation values, updating the chatter state index according to the correction result, and generating a vibration optimization machining parameter set of the fine carving equipment for fine carving machining of the to-be-machined mobile phone card holder.

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