A precision machining system based on a multi-leaf hollow orifice spinneret

Abstract

The present application relates to the field of precision manufacturing technology, and more particularly to a kind of precision machining system based on multi-leaf hollow hole spinneret, including geometric constraint modeling module, energy adaptive laser module, topography real-time feedback module and spinneret finished product output module;Wherein: geometric constraint modeling module: for generating multi-level constraint processing model;Energy adaptive laser module: etching multi-leaf hollow channel on spinneret base material, outputting initial etching channel matrix;Topography real-time feedback module: generate topography error vector diagram input spinneret finished product output module;Spinneret finished product output module: for matching determination of topography error vector diagram and multi-level constraint processing model.The present application, by multi-level geometric constraint modeling and laser energy adaptive control combination, realizes the precision etching and closed-loop correction of multi-leaf hollow hole spinneret complex structure, improves the consistency of finished product structure and processing stability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of precision manufacturing, and in particular to a precision machining system based on a multi-leaf hollow orifice spinneret. BACKGROUND

[0002] As a key structure of high-precision spinning assembly, the spatial geometry of the orifice of the multi-leaf hollow orifice spinneret has a decisive influence on the spinning uniformity and the forming quality; during the processing of the spinneret, the curvature change of the blade edge and the consistency of the orifice depth directly affect the flow direction and the stretching stability of the fiber; therefore, the precision machining of the spinneret not only requires high-precision etching of the complex curved surface structure, but also needs to maintain multiple geometric constraints of the orifice taper, the depth-diameter ratio and the edge smoothness in a limited space.

[0003] However, the traditional laser etching method generally relies on a single energy setting and a fixed path planning, and cannot dynamically respond to the processing requirements of different curvature and depth structures, and lacks real-time topography evaluation and processing refinement mechanism, which easily leads to problems such as orifice deformation, edge ablation and insufficient consistency of finished products. Therefore, it is necessary to construct a precision machining system based on a multi-leaf hollow orifice spinneret to solve the above technical problems. SUMMARY

[0004] In order to achieve the above purposes, the present application provides a precision machining system based on a multi-leaf hollow orifice spinneret.

[0005] A precision machining system based on a multi-leaf hollow orifice spinneret, comprising a geometric constraint modeling module, an energy adaptive laser module, a real-time topography feedback module and a spinneret finished product output module; wherein:

[0006] The geometric constraint modeling module is used to generate a multi-stage constraint machining model according to the minimum blade curvature radius and the maximum hollow orifice depth-diameter ratio of the target spinneret, and output to the energy adaptive laser module;

[0007] The energy adaptive laser module: based on the minimum blade curvature radius in the multi-stage constraint machining model, dynamically matches the laser pulse energy density, and generates a taper compensation cutting path according to the maximum hollow orifice depth-diameter ratio to etch a multi-leaf hollow orifice on the spinneret substrate, and outputs the initial orifice base to the real-time topography feedback module;

[0008] The real-time topography feedback module: scans the actual blade edge steep gradient and continuous orifice bottom curvature of the initial orifice base to generate a topography error vector diagram input to the spinneret finished product output module;

[0009] Spinneret finished product output module: used for matching and judging the topography error vector diagram and the multi-level constraint processing model, and outputting the spinneret finished product or generating the finishing instruction feedback to the energy self-adaptive laser module according to the judgment result.

[0010] Optionally, the geometric constraint modeling module comprises a curvature analysis unit, a depth-diameter ratio evaluation unit, a constraint level construction unit and a processing model generation unit; wherein:

[0011] The curvature analysis unit is used for fitting calculation on the geometric edges of each blade on the target spinneret, extracting the local curvature variation interval, and selecting the minimum value of the blade curvature radius as the curvature constraint lower limit parameter;

[0012] The depth-diameter ratio evaluation unit is used for obtaining the hole depth and hole diameter values of each hollow channel in the pre-designed structure of the spinneret, and calculating the maximum value of the depth-diameter ratio of the hollow channel as the longitudinal processing constraint index;

[0013] The constraint level construction unit is used for dividing the spinneret processing process into three levels of geometric difficulty levels according to the curvature constraint lower limit parameter and the longitudinal processing constraint index, and setting the allowable range of the corresponding laser process window parameters for each level;

[0014] The processing model generation unit is used for integrating the geometric difficulty levels of each level and the corresponding laser process window parameters, generating a multi-level constraint processing model, and outputting to the energy self-adaptive laser module.

[0015] Optionally, the constraint level construction unit comprises:

[0016] The parameter normalization sub-unit is used for normalizing the curvature constraint lower limit parameter and the longitudinal processing constraint index respectively, and calculating the normalized values and ;

[0017] The difficulty interval judgment sub-unit is used for joint interval analysis on and , and constructing three levels of geometric difficulty levels, specifically including:

[0018] When and , it is level 1 of low difficulty;

[0019] When or , it is level 2 of medium difficulty;

[0020] When and , it is level 3 of high difficulty;

[0021] The grade label generating subunit is configured to construct a unique geometric difficulty label for each target spinneret according to the geometric difficulty grade, and output the corresponding label to the machining model generating unit.

[0022] Optionally, the energy adaptive laser module comprises an energy density dynamic matching unit, a taper path planning unit, and a channel etching execution unit; wherein:

[0023] The energy density dynamic matching unit is configured to receive the minimum blade curvature radius in the multi-level constraint machining model, and adaptively adjust and determine the laser pulse energy density matched with the minimum blade curvature radius according to a preset curvature-energy mapping relationship;

[0024] The taper path planning unit is configured to receive the maximum hollow channel depth-diameter ratio in the multi-level constraint machining model, generate a laser cutting path capable of geometrically compensating the maximum hollow channel depth-diameter ratio based on a taper compensation strategy, and set the feeding mode and feeding rate of the cutting process;

[0025] The channel etching execution unit is configured to receive the laser pulse energy density output by the energy density dynamic matching unit and the laser cutting path output by the taper path planning unit, and accurately etch a multi-leaf hollow channel on the spinneret substrate surface, thereby outputting an initial channel matrix.

[0026] Optionally, the energy density dynamic matching unit comprises:

[0027] The curvature recognition subunit is configured to extract the minimum blade curvature radius corresponding to the current machining area from the multi-level constraint machining model ;

[0028] The energy interval mapping subunit is configured to map the minimum curvature radius to the corresponding laser energy density interval according to a preset curvature-energy mapping relationship table;

[0029] The pulse density calculation subunit is configured to calculate the corresponding laser pulse energy density according to the mapped laser energy density interval and the current relative position.

[0030] Optionally, the taper path planning unit comprises:

[0031] The depth-diameter ratio analysis subunit is configured to receive the maximum hollow channel depth-diameter ratio in the multi-level constraint machining model ;

[0032] The taper angle calculation subunit is configured to calculate the taper compensation angle to be applied based on the compensation target depth-diameter ratio , and the formula is: ;

[0033] path curve generating subunit: according to the compensation angle in the hole depth direction a radial compensation function is generated, expressed as: , wherein, is the laser track radius at the depth ; is the initial diameter of the orifice; is the designed depth of the hole;

[0034] the feed parameter setting subunit: according to the radial compensation function and the material heat affected threshold, the helical undercut feed mode is set, and the feed rate is configured by depth segmentation.

[0035] Optionally, the topography real-time feedback module comprises a topography scanning unit, a gradient calculation unit, a curvature continuity evaluation unit and an error vector generating unit; wherein:

[0036] the topography scanning unit: for high-precision scanning of the blade edge and the hole bottom surface of the initial engraved hole body by adopting a three-dimensional profile measurement method, to obtain three-dimensional coordinate point cloud data;

[0037] the gradient calculation unit: for extracting the blade edge contour line from the three-dimensional coordinate point cloud data, and calculating the steep drop gradient of the actual blade edge by segment according to the position change of adjacent point cloud data;

[0038] the curvature continuity evaluation unit: for extracting the three-dimensional coordinate point cloud data of the hole bottom surface area, fitting the actual surface of the bottom surface, and calculating the local curvature change value on the actual surface to form a continuous hole bottom surface curvature;

[0039] the error vector generating unit: for aligning and comparing the steep drop gradient data of the blade edge obtained by the gradient calculation unit with the continuous hole bottom surface curvature data obtained by the curvature continuity evaluation unit with the corresponding theoretical value in the multi-level constraint machining model point by point, to generate a topography error vector diagram.

[0040] Optionally, the error vector generating unit comprises:

[0041] the coordinate mapping subunit: for mapping the actual point cloud coordinate data output by the gradient calculation unit and the curvature continuity evaluation unit into the theoretical coordinate system in the multi-level constraint machining model point by point based on the unified space reference system and the machining reference calibration value, to ensure that the spatial alignment accuracy does not exceed the set error threshold;

[0042] the error calculation subunit: for calculating the difference vector between the theoretical value and the actual value at each scanning position point by point after completing the coordinate alignment, to obtain the blade edge gradient error vector and the hole bottom surface curvature error vector respectively, and to record the size and direction information of each vector.

[0043] Vector encoding subunit: for grouping and encoding all error vectors according to spatial position and error type, constructing a structured error vector graph data structure containing error amplitude, directionality, spatial index and type identification, and storing in the form of a graph array.

[0044] Optionally, the spinneret finished product output module comprises an error threshold setting unit and a matching determination unit; wherein:

[0045] Error threshold setting unit: for presetting and storing corresponding theoretical index threshold parameters in the multi-level constraint processing model, the indexes including the maximum allowable error threshold of the blade edge steep drop gradient and the minimum continuity threshold of the curvature of the channel bottom surface ;

[0046] Matching determination unit: for receiving the topographic error vector graph, comparing the numerical value and direction information of the blade edge steep drop gradient error vector and the curvature error vector point by point, and performing overall matching evaluation according to the following determination logic:

[0047] If all and , it is determined to be qualified;

[0048] If there is or at any position, it is determined to be unqualified.

[0049] Optionally, the spinneret finished product output module further comprises a result processing unit; wherein:

[0050] Result processing unit: for making corresponding response according to the output result of the matching determination unit, if it is determined to be qualified, outputting the multi-leaf hollow-shaped hole spinneret finished product; if it is determined to be unqualified, extracting the secondary processing area according to the spatial position and error amplitude in the error vector graph, and generating a local fine-tuning instruction set including laser re-engraving path, correction energy density and segmented feed rate, and feeding back to the energy adaptive laser module to perform re-etching operation.

[0051] The beneficial effects of the present application are:

[0052] This invention constructs a multi-level constraint processing model, using the minimum radius of curvature of the blade and the maximum depth-to-diameter ratio of the hollow channel as key input parameters. This drives the energy adaptive laser module to dynamically match the laser pulse energy density and taper compensation path during the etching process, achieving refined processing control of multi-bladed hollow hole structures. This mechanism can effectively improve the response capability to complex structures during the etching process, ensuring that the edge curvature and depth taper of the channel are formed within a controllable range, and avoiding local deformation or processing mismatch problems caused by fixed energy or path.

[0053] This invention acquires the three-dimensional structural point cloud data of the initial shaped channel through a real-time morphology feedback module, and combines it with an error vector generation unit to achieve point-by-point alignment and error quantification analysis between the actual morphology and the theoretical model. The spinneret finished product output module can accurately determine the processing quality and decide whether to trigger a secondary finishing operation based on this data, thereby improving the structural consistency, automation level and yield rate of the spinneret processing. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Fig. 1 This is a schematic diagram of a precision machining system according to an embodiment of the present invention;

[0056] Fig. 2 This is a schematic diagram of the energy adaptive laser module according to an embodiment of the present invention. Detailed Implementation

[0057] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0058] like Figs. 1-2 As shown, a precision machining system based on a multi-leaf hollow spinneret includes a geometric constraint modeling module, an energy adaptive laser module, a real-time topography feedback module, and a spinneret finished product output module; wherein:

[0059] Geometric constraint modeling module: used to generate a multi-level constraint machining model based on the minimum radius of curvature of the blades of the target spinneret and the maximum depth-to-diameter ratio of the hollow channel, and output it to the energy adaptive laser module;

[0060] Energy adaptive laser module: dynamically match laser pulse energy density based on minimum value of blade curvature radius in multi-level constraint machining model, and generate taper compensation cutting path according to maximum value of hollow channel depth-diameter ratio to etch multi-leaf hollow channels on spinneret substrate, and output initial etching channel matrix to topography real-time feedback module;

[0061] Topography real-time feedback module: scan actual blade edge steep gradient and continuous channel bottom curvature of initial etching channel matrix to generate topography error vector map and input to spinneret finished product output module;

[0062] Spinneret finished product output module: used for matching and determining topography error vector map and multi-level constraint machining model, and outputting spinneret finished product or generating fine repair instructions feedback to energy adaptive laser module according to determination result.

[0063] The geometric constraint modeling module includes a curvature analysis unit, a depth-diameter ratio evaluation unit, a constraint level construction unit, and a machining model generation unit; wherein:

[0064] Curvature analysis unit: used for fitting calculation of geometric edges of each blade on target spinneret, extracting local curvature variation interval, and selecting minimum value of blade curvature radius as lower limit parameter of curvature constraint; let the minimum value of blade curvature radius be , its expression is: , wherein, represents blade edge contour function, wherein and are coordinate axes; is the first derivative of the contour function, representing the tangent slope of the edge curve in the direction; is the second derivative of the contour function, representing the curvature variation rate of the edge curve in the direction;

[0065] Depth-diameter ratio evaluation unit: used for obtaining hole depth and hole diameter values of each hollow channel in spinneret pre-design structure, calculating maximum value of hollow channel depth-diameter ratio as longitudinal processing constraint index; let the maximum value of hollow channel depth-diameter ratio be , its expression is: , wherein, represents the depth of the th channel, represents the corresponding hole diameter;

[0066] Constraint level construction unit: used for dividing spinneret processing process into three levels of geometric difficulty levels according to lower limit parameter of curvature constraint and longitudinal processing constraint index, and setting allowable range of corresponding laser process window parameters for each level;

[0067] The processing model generation unit is used to integrate the geometric difficulty levels of each level and the corresponding laser process window parameters, generate a multi-level constraint processing model with clear structure levels and closed parameter boundaries, and output to the energy self-adaptive laser module. The above unit can realize quantitative measurement of the target spinneret edge shape and longitudinal structure by introducing specific formula to calculate the minimum curvature radius and the maximum depth-diameter ratio, and avoid manual estimation error. Then, the constraint level construction unit classifies different processing difficulties, and the processing model generation unit establishes a complete parameter model, effectively ensuring the consistency of multi-leaf hollow hole processing and the adaptability of complex structure.

[0068] The constraint level construction unit includes:

[0069] The parameter normalization sub-unit is used to normalize the curvature constraint lower limit parameter and the longitudinal processing constraint index respectively, and calculate the normalized value and The calculation formula is: ; wherein, and are the lower and upper boundary values of the curvature radius supported by the system; and are the minimum and maximum values of the preset depth-diameter ratio, and the normalized value range is limited between 0 and 1;

[0070] The difficulty interval judgment sub-unit is used to jointly analyze the intervals of and to construct three types of geometric difficulty levels, which specifically include:

[0071] When and , it is the low difficulty level 1;

[0072] When or , it is the medium difficulty level 2;

[0073] When and , it is the high difficulty level 3;

[0074] The grade label generation subunit is configured to construct a unique geometric difficulty label for each target spinneret according to the geometric difficulty grade, and output the corresponding label to the machining model generation unit to drive the matching configuration of the subsequent laser machining strategy; the parameter normalization subunit is configured to realize the conversion of multi-dimensional machining features in a unified scale, the difficulty interval determination subunit is configured to construct a clear geometric complexity partition standard in a two-dimensional space, and finally the grade label generation subunit is configured to output a classification identifier that can directly drive the laser strategy, so that the machining system can accurately adapt the energy density and cutting path according to the curvature and depth features of the target structure, thereby improving the practicability and generalization ability of the multi-level constraint model.

[0075] The energy adaptive laser module comprises an energy density dynamic matching unit, a taper path planning unit and a channel etching execution unit; wherein:

[0076] The energy density dynamic matching unit is configured to receive the minimum blade curvature radius in the multi-level constraint machining model, and adaptively adjust and determine the laser pulse energy density matched with the minimum blade curvature radius according to the preset curvature-energy mapping relationship;

[0077] The taper path planning unit is configured to receive the maximum hollow channel depth-diameter ratio in the multi-level constraint machining model, generate a laser cutting path capable of geometrically compensating the maximum hollow channel depth-diameter ratio based on a taper compensation strategy, and set the feeding mode and feeding rate of the cutting process;

[0078] The channel etching execution unit is configured to receive the laser pulse energy density output by the energy density dynamic matching unit and the laser cutting path output by the taper path planning unit, and accurately etch a multi-leaf hollow channel on the spinneret substrate surface, and then output the initial channel matrix.

[0079] The energy density dynamic matching unit comprises:

[0080] The curvature recognition subunit is configured to extract the minimum blade curvature radius corresponding to the current machining area from the multi-level constraint machining model ;

[0081] The energy interval mapping subunit is configured to map the minimum curvature radius to the corresponding laser energy density interval according to the preset curvature-energy mapping table, and the mapping process is linearly decreasing, that is, the smaller the curvature, the higher the required laser energy density, so as to realize high-resolution control of machining details;

[0082] Table 1: Curvature-energy mapping table

[0083]

[0084] In the above table 1, the curvature radius interval is used to segment the minimum curvature radius of the target spinner blade; the mapping level is used to quickly match the processing complexity level label, which is linked with the constraint level construction unit; the laser pulse energy density interval represents the laser energy output range corresponding to the actual curvature condition; the mapping relationship table can be pre-set in the control system for the energy interval mapping sub-unit to query, and when the system detects that the corresponding laser pulse energy density interval is automatically called, and the pulse density calculation sub-unit is used to perform linear interpolation, and finally the accurate adaptive laser pulse energy density output value is generated. This mechanism can effectively improve the response speed and edge etching consistency in the laser processing process.

[0085] Pulse density calculation sub-unit: used to calculate the corresponding laser pulse energy density according to the mapped laser energy density interval and the current relative position, the formula is: , wherein, is the laser pulse energy density; is the minimum value of the blade curvature radius; is the lower and upper limits of the set curvature radius; is the lower and upper limits of the corresponding energy density; by setting the curvature recognition sub-unit to extract and verify the structure boundary condition, the monotonic mapping relationship between curvature and energy is realized by combining the energy interval mapping sub-unit, and then the required laser energy density is quantitatively calculated by the pulse density calculation sub-unit. The system can accurately adapt to the laser output when facing different blade curvature characteristics, and realize high-quality etching control of complex edge structures.

[0086] Taper path planning unit includes:

[0087] Deep diameter ratio analysis sub-unit: used to receive the maximum value of the deep diameter ratio of the hollow channel in the multi-stage constraint processing model ;

[0088] Taper angle calculation sub-unit: based on the compensation target deep diameter ratio (pre-set processing reference), calculate the taper compensation angle needed to be applied, the formula is: ;

[0089] Path curve generation sub-unit: generates a radial compensation function in the hole depth direction according to the compensation angle , the expression is: , wherein, is the laser trajectory radius at the depth is the initial diameter of the orifice; Designing depth for the hole;

[0090] The feeding parameter setting subunit sets the helical undercut feeding mode according to the radial compensation function and the material thermal influence threshold, and configures the feeding rate by depth segmentation , the formula is: , wherein, is the feeding rate at the depth ; is the orifice reference rate; is the feeding attenuation coefficient; the quantification compensation of the longitudinal structure constraint is realized by the depth-diameter ratio analysis and the taper angle calculation, the continuous helical trajectory is output by the path curve generation subunit, and the feeding parameter setting subunit dynamically reduces the deep area feeding rate, which can effectively inhibit the deep hole wall overburning phenomenon and ensure the taper consistency, thereby significantly improving the forming precision and surface quality of the multi-leaf hollow hole.

[0091] The morphology real-time feedback module includes a morphology scanning unit, a gradient calculation unit, a curvature continuity evaluation unit and an error vector generation unit; wherein:

[0092] The morphology scanning unit is used for high-precision scanning of the blade edge and the hole bottom of the initial engraved hole body by using a three-dimensional profile measurement method to obtain three-dimensional coordinate point cloud data;

[0093] The gradient calculation unit is used for extracting the blade edge contour line from the three-dimensional coordinate point cloud data, and calculating the steep gradient of the actual blade edge by segment according to the position change of adjacent point cloud data; the formula is:

[0094] , wherein, and are three-dimensional coordinates of two adjacent point cloud data, represents the spatial slope of the edge contour of the segment;

[0095] The curvature continuity evaluation unit is used for extracting three-dimensional coordinate point cloud data of the hole bottom area, fitting the actual surface of the bottom, and calculating the local curvature change value on the actual surface to form a continuous hole bottom curvature; the calculation formula is: , wherein, is the internal angle of the adjacent triangular mesh of the point, is the area of the region corresponding to the point, represents the curvature at the point;

[0096] Error Vector Generation Unit: This unit aligns and compares the steep gradient data of the blade edge obtained by the gradient calculation unit with the continuous curvature data of the bottom surface of the duct obtained by the curvature continuity evaluation unit with the corresponding theoretical values ​​in the multi-level constraint processing model point by point to generate a topography error vector map, which is then output to the spinneret finished product output module. The topography scanning unit acquires high-precision three-dimensional actual processing data, and the gradient calculation and curvature continuity evaluation respectively realize the quantitative characterization of processing details. The error vector generation subunit then accurately compares the actual and theoretical data to form a quantitative error result, which can provide a clear basis for subsequent fine-tuning decisions and effectively improve the overall processing accuracy and production efficiency.

[0097] The error vector generation unit includes:

[0098] Coordinate mapping subunit: Used to map the actual point cloud coordinate data output by the gradient calculation unit and the curvature continuity evaluation unit to the theoretical coordinate system in the multi-level constraint machining model point by point, based on a unified spatial reference system and machining datum calibration value, to ensure that the spatial alignment accuracy does not exceed the set error threshold.

[0099] Error calculation subunit: After coordinate alignment, it calculates the difference vector between the theoretical and actual values ​​at each scanning position, obtaining the blade edge gradient error vector and the orifice bottom surface curvature error vector, and recording the magnitude and direction information of each vector; the calculation formula is as follows: ; ,in and The first The steep gradient and curvature values ​​obtained from the actual scan at each location and These are the theoretical values ​​corresponding to the multi-level constraint processing model. and These are the blade edge gradient error vector and the duct bottom surface curvature error vector, respectively.

[0100] The vector encoding subunit is used to group and encode all error vectors according to their spatial location and error type, construct a structured error vector data structure that includes error amplitude, directionality, spatial index, and type identifier, and store it in the form of a graph array. This serves as the input basis for comparison and judgment by the spinneret finished product output module. By simplifying the functional division, the three-step closed-loop process of "identification-calculation-encoding" in the error vector generation unit is retained, so that the error data can be accurately fed back to the spinneret finished product output module.

[0101] The spinneret output module includes an error threshold setting unit and a matching determination unit; wherein:

[0102] Error threshold setting unit: for pre-setting and storing the corresponding theoretical index threshold parameters in the multi-level constraint machining model, the indexes including the maximum allowable error threshold of the blade edge steep drop gradient With the minimum continuity threshold of the curvature of the hole bottom surface , for limiting the acceptable machining deviation range;

[0103] Matching determination unit: for receiving the topography error vector diagram, comparing the blade edge steep drop gradient error vector point by point With the numerical value and direction information of the curvature error vector , and overall matching evaluation is carried out according to the following determination logic:

[0104] If all And , it is determined to be qualified;

[0105] If there is Or in any position, it is determined to be unqualified.

[0106] The spinneret finished product output module further comprises a result processing unit; wherein:

[0107] The result processing unit: for making corresponding response according to the output result of the matching determination unit, if it is determined to be qualified, output the multi-leaf hollow-shaped hole spinneret finished product; if it is determined to be unqualified, extract the secondary machining area according to the spatial position and error amplitude in the error vector diagram, and generate a local fine-tuning instruction set, including laser re-engraving path, correction energy density and segmented feed rate, and feedback to the energy adaptive laser module to perform re-etching operation; the error threshold setting unit clearly defines the machining quality boundary, the matching determination unit realizes point-by-point comparison and overall evaluation, and finally the result processing unit realizes the fine-tuning closed loop or the automatic decision mechanism of product output, which can greatly improve the consistency and intelligent machining efficiency of the spinneret finished product, avoid human misjudgment and reduce the rework rate.

[0108] The present application covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present application. In order to make the public have a thorough understanding of the present application, specific details are described in the following preferred embodiments of the present application, and the present application can also be completely understood without the description of these details for those skilled in the art. In addition, in order to avoid unnecessary confusion to the essence of the present application, well-known methods, processes, procedures, elements and circuits are not described in detail.

[0109] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principle of the present application, a number of improvements and refinements can be made, which should also be regarded as the protection scope of the present application.

Claims

1. A precision machining system based on a multi-leaf hollow orifice spinneret, characterized by, The system comprises a geometric constraint modeling module, an energy adaptive laser module, a real-time feedback module, and a spinner plate product output module. The geometric constraint modeling module is configured to generate a multi-stage constraint machining model based on the minimum blade curvature radius and the maximum hollow channel depth-diameter ratio of a target spinner plate, and output the model to the energy adaptive laser module. The energy adaptive laser module is configured to dynamically match the laser pulse energy density based on the minimum blade curvature radius in the multi-stage constraint machining model, and generate a taper compensation cutting path based on the maximum hollow channel depth-diameter ratio to etch the multi-leaf hollow channel on the spinner plate substrate and output the initial etched channel base to the real-time feedback module. The energy adaptive laser module comprises an energy density dynamic matching unit, a taper path planning unit, and a channel etching execution unit. The energy density dynamic matching unit is configured to receive the minimum blade curvature radius in the multi-stage constraint machining model, and adaptively adjust and determine the laser pulse energy density matched with the minimum blade curvature radius based on a preset curvature-energy mapping relationship. The taper path planning unit is configured to receive the maximum hollow channel depth-diameter ratio in the multi-stage constraint machining model, generate a laser cutting path capable of geometrically compensating the maximum hollow channel depth-diameter ratio based on a taper compensation strategy, and set the feed mode and feed rate of the cutting process. The channel etching execution unit is configured to receive the laser pulse energy density output by the energy density dynamic matching unit and the laser cutting path output by the taper path planning unit, accurately etch the multi-leaf hollow channel on the spinner plate substrate surface, and then output the initial etched channel base. The real-time feedback module is configured to scan the actual blade edge drop gradient and continuous channel bottom curvature of the initial etched channel base, and generate a morphology error vector map input to the spinner plate product output module. The real-time feedback module comprises a morphology scanning unit, a gradient calculation unit, a curvature continuity evaluation unit, and an error vector generation unit. The morphology scanning unit is configured to use a three-dimensional profile measurement method to perform high-precision scanning on the blade edge and channel bottom surface of the initial etched channel base, and obtain three-dimensional coordinate point cloud data. The gradient calculation unit is configured to extract the blade edge contour line from the three-dimensional coordinate point cloud data, and calculate the drop gradient of the actual blade edge in segments based on the position change of adjacent point cloud data. The curvature continuity evaluation unit is configured to extract the three-dimensional coordinate point cloud data of the channel bottom surface region, fit the actual surface of the bottom surface, and calculate the local curvature change value on the actual surface to form a continuous channel bottom curvature. The error vector generation unit is configured to align and compare the blade edge drop gradient data obtained by the gradient calculation unit and the continuous channel bottom curvature data obtained by the curvature continuity evaluation unit with the corresponding theoretical values in the multi-stage constraint machining model point by point, and generate a morphology error vector map. The spinner plate product output module is configured to match and determine the morphology error vector map and the multi-stage constraint machining model, and output the spinner plate product or generate a fine-tuning instruction feedback to the energy adaptive laser module based on the determination result.

2. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The geometric constraint modeling module comprises a curvature analysis unit, a depth-diameter ratio evaluation unit, a constraint level construction unit and a machining model generation unit; wherein: The curvature analysis unit is configured to perform fitting calculation on the geometric edges of each blade on the target spinneret, extract the local curvature variation interval, and select the minimum blade curvature radius as the lower limit parameter of the curvature constraint; The depth-diameter ratio evaluation unit is configured to obtain the hole depth and hole diameter values of each hollow channel in the pre-designed structure of the spinneret, and calculate the maximum depth-diameter ratio of the hollow channel as the longitudinal processing constraint index; The constraint level construction unit is configured to divide the spinneret machining process into three levels of geometric difficulty levels according to the lower limit parameter of the curvature constraint and the longitudinal processing constraint index, and set the allowable range of the corresponding laser process window parameters for each level; The machining model generation unit is configured to integrate the geometric difficulty levels and the corresponding laser process window parameters to generate a multi-level constraint machining model, and output to the energy adaptive laser module.

3. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 2, characterized in that, The constraint level construction unit comprises: The parameter normalization subunit is configured to normalize the curvature constraint lower limit parameter and the longitudinal processing constraint index respectively to obtain normalized values With ; The difficulty interval determination subunit is used for determining the difficulty interval of the test paper, and the difficulty interval determination subunit comprises the following steps: In combination with interval analysis, three types of geometric difficulty levels are constructed, specifically including: In combination with interval analysis, three types of geometric difficulty levels are constructed, specifically including: When and is a low difficulty level 1. When or is a medium difficulty level 2; When and is a high difficulty level 3; The level label generation subunit is configured to construct a unique geometric difficulty label for each target spinneret according to the geometric difficulty level, and output the corresponding label to the machining model generation unit.

4. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The energy density dynamic matching unit comprises: Curvature identification subunit: for extracting the minimum value of the blade curvature radius corresponding to the current machining area from the multi-level constraint machining model ; The energy interval mapping subunit is configured to map the minimum curvature radius to the corresponding laser energy density interval according to the pre-set curvature-energy mapping relationship table; Pulse density calculation subunit: for calculating the corresponding laser pulse energy density according to the mapped laser energy density interval and the current relative position. ​ 5. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The taper path planning unit comprises: a deep-diameter ratio analysis subunit configured to receive a maximum deep-diameter ratio of a hollow hole in a multi-stage constraint machining model ; taper angle calculation subunit: based on the compensation target depth-diameter ratio calculates the taper compensation angle to be applied , the formula is: ; Path curve generating subunit: according to compensation angle In the hole depth direction Generate a radial compensation function, the expression is: , Wherein, The laser track radius at the depth ; The initial diameter of the orifice; The design depth of the hole The feed parameter setting subunit is configured to set the spiral undercut feed mode according to the radial compensation function and the material heat affected threshold, and configure the feed rate by depth segmentation.

6. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The error vector generation unit comprises: The coordinate mapping subunit is configured to map the actual point cloud coordinate data output by the gradient calculation unit and the curvature continuity evaluation unit to the theoretical coordinate system in the multi-level constraint machining model based on the unified space reference system and the machining reference calibration value, point by point, to ensure that the spatial alignment accuracy does not exceed the set error threshold; The error calculation subunit is configured to calculate the difference vector between the theoretical value and the actual value of each scanning position point by point after completing the coordinate alignment, to obtain the blade edge gradient error vector and the channel bottom curvature error vector, and to record the size and direction information of each vector; The vector encoding subunit is configured to group and encode all error vectors according to the spatial position and error type, construct a structured error vector graph data structure containing error amplitude, directionality, spatial index and type identification, and store in the form of a graph array.

7. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The spinneret product output module comprises an error threshold setting unit and a matching determination unit; wherein: error threshold setting unit: for presetting and storing the corresponding theoretical index threshold parameters in the multi-stage constraint machining model, the indexes include the maximum allowable error threshold of the blade edge steep drop gradient the minimum continuity threshold of the curvature of the hole bottom surface ; Matching decision unit: receives topography error vector map, compares blade edge cliff gradient error vector point by point with numerical and directional information of curvature error vector and performs overall matching evaluation according to the following decision logic: If all and then the product is determined to be acceptable; If any position exists or then it is determined as unqualified.

8. The precision machining system based on multi-leaf hollow orifice spinneret according to claim 1, characterized in that, The spinneret product output module further comprises a result processing unit; wherein: The result processing unit is configured to make a corresponding response according to the output result of the matching determination unit, if it is determined to be qualified, output the multi-leaf hollow-shaped hole spinneret product; if it is determined to be unqualified, extract the secondary machining area according to the spatial position and error amplitude in the error vector graph, and generate a local fine-tuning instruction set including laser re-cutting path, corrected energy density and segmented feed rate, and feed back to the energy adaptive laser module for re-etching operation.

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