Control method and control system for skin processing

Abstract

The invention relates to the technical field of skin machining, in particular to a skin machining control method and system, and the method comprises the steps: S1, obtaining a skin machining region through a tool path optimization module, and dividing the skin machining region into # imgabs 0 # sub-regions # imgabs 1 #; s2, a thickness detection module detects skin thickness data of each sub-region; s3, a cutting depth control module optimizes cutting parameters of a cutter according to the skin thickness data, and then a cutter path optimization module generates a cutting path; and S4, a controller of the five-axis machining equipment machines the skin according to the cutting path. The technical problem that in the prior art, skin cutting is difficult is solved, the skin thickness is detected in real time, the tool path and cutting parameters are optimized, and high-precision and high-efficiency skin machining is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of skin processing, and in particular to a control method and a control system for skin processing. Background Art

[0002] Skin is a crucial component of aircraft structures, and its machining quality is directly related to aircraft performance and safety. During skin machining, uneven skin thickness after the drawing process becomes a key factor affecting subsequent machining accuracy. Traditional machining methods struggle to achieve high-precision results when dealing with uneven skin thickness.

[0003] Currently, common skin processing methods include mirror milling and chemical milling. While mirror milling offers high precision, the equipment is expensive, increasing production costs. Chemical milling is less expensive, but the process is outdated and environmentally unfriendly, generating large amounts of chemical waste and polluting the environment. Furthermore, when using conventional five-axis machine milling equipment, the uneven thickness of the skin after stretching makes it impossible to adjust the cutting depth in real time based on the thickness variation. This results in inconsistent thickness after processing, failing to meet the requirements of high-precision machining.

[0004] In terms of thickness measurement technology, traditional methods such as micrometer measurement suffer from large manual reading errors and low efficiency. While non-contact measurement technologies such as laser rangefinders have been applied in some fields, their application in skin processing is still not widespread. While some existing devices offer real-time workpiece thickness detection for skin processing, most suffer from insufficient accuracy and poor adaptability.

[0005] Therefore, developing a system that can detect the skin thickness in real time and adjust the cutting depth in real time according to the detection results is of great significance for improving the skin processing accuracy, reducing production costs and reducing environmental pollution. Summary of the Invention

[0006] The present invention aims to address at least one of the technical problems existing in the related art. To this end, the present invention provides a control method and control system for skin processing, which addresses the technical problem of difficult skin cutting in the prior art. By detecting skin thickness in real time and optimizing tool paths and cutting parameters, high-precision and high-efficiency skin processing is achieved.

[0007] The present invention provides a control method for skin processing, comprising: S1, the tool path optimization module obtains the skin processing area and divides the skin processing area into sub-regions ; S2, a thickness detection module detects the skin thickness data of each sub-region; S3, the cutting depth control module optimizes the cutting parameters of the tool according to the skin thickness data, and then the tool path optimization module generates a cutting path; S4, the controller of the five-axis machining device processes the skin according to the cutting path.

[0008] A further improvement of the control method for skinning processing of the present invention is that after step S4, the method further includes: S41, during the skin processing, the thickness detection module detects the real-time thickness data of the skin in real time ; S42, the cutting depth control module obtains the target machining thickness value of the tool corresponding to the current position of the skin ; The actual required cutting depth is ; S43, set the normal vector of the tool corresponding to the current position of the skin to , then the cutting adjustment amount ; S44, the cutting path point corresponding to the current position of the skin is After the cutting adjustment amount is compensated into the cutting path point, the actual cutting path point is obtained as ; S45, the controller of the five-axis machining equipment cuts the skin according to the actual cutting path points.

[0009] A further improvement of the control method for skinning processing of the present invention is that step S2 specifically includes: Get sub-region Thickness data of each position point , get the sub-region Area , and then calculate the skin thickness data, the calculation formula is: in, Indicates sub-region Skin thickness data.

[0010] A further improvement of the control method for skinning processing of the present invention is that step S3 comprises: The cutting depth control module calculates the cutting depth required by the tool according to the skin thickness data , the calculation formula is: The optimal cutting speed for each sub-region is designed to be in, represents the optimal cutting speed, represents the first constant, represents the second constant, Indicates standard cutting parameters; The feed rate of each of the sub-areas is designed to be in, Indicates the feed rate, represents the third constant, represents the fourth constant, Indicates standard feed parameters.

[0011] A further improvement of the control method of skin processing of the present invention is that according to Determine a number of cutting path points for each of the sub-regions , and then the tool path optimization module is based on and A cutting path for each of the sub-regions is planned.

[0012] A control system for skin processing, the control system is used to execute the control method described above, the control system comprising: A tool path optimization module, wherein the tool path optimization module is used to optimize the cutting path of the tool; A thickness detection module, wherein the thickness detection module is used to detect the thickness of the skin; A cutting depth control module, wherein the cutting depth control module is used to optimize the cutting parameters of the tool; A five-axis machining device comprises a workbench, a motion axis, an ultrasonic sensor, a tool and a controller.

[0013] A further improvement of the control system for skin processing of the present invention is that the thickness detection module is a thickness detection sensor.

[0014] A further improvement of the control system for skin processing of the present invention is that the thickness detection sensor is one or more of an ultrasonic sensor, an eddy current sensor, a laser ranging sensor, and an optical sensor.

[0015] This invention uses real-time thickness detection and cutting depth control, combined with segmentation principles to optimize tool paths and cutting parameters. This effectively solves the problem of inconsistent thickness caused by conventional five-axis milling after skin stretching. Compared with existing technologies, this method offers the advantages of improved machining accuracy, optimized efficiency, reduced costs, and improved environmental friendliness.

[0016] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a schematic diagram of a control method for skin processing provided by the present invention. DETAILED DESCRIPTION

[0019] To make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the embodiments described are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0020] The following combination Figure 1 A control method for skinning processing of the present invention is described, comprising: S1, the tool path optimization module obtains the skin processing area and divides the skin processing area into sub-regions ; S2, a thickness detection module detects the skin thickness data of each sub-region; S3, the cutting depth control module optimizes the cutting parameters of the tool according to the skin thickness data, and then the tool path optimization module generates a cutting path; S4, the controller of the five-axis machining device processes the skin according to the cutting path.

[0021] Preferably, by accurately dividing the skin processing area into multiple sub-areas, the tool path optimization module can more effectively plan the processing path, reduce unnecessary tool movement, and thus improve processing efficiency. The thickness detection module accurately detects the skin thickness data of each sub-area, providing reliable data support for subsequent processing, ensuring that the cutting depth control during the processing is more accurate, and reducing processing errors caused by uneven thickness. The cutting depth control module optimizes the cutting parameters of the tool according to the skin thickness data, making the cutting process smoother and more efficient, and significantly improving the skin processing quality. The control method for skin processing significantly improves processing efficiency and processing quality, and reduces processing costs, by accurately dividing the processing area, accurately detecting the skin thickness, optimizing the cutting parameters, and accurately controlling the processing path.

[0022] In a preferred embodiment of the control method for skin processing of the present invention, after step S4, the following further comprises: S41, during the skin processing process, the thickness detection module detects the real-time thickness data of the skin in real time. ; S42, the cutting depth control module obtains the target machining thickness value of the tool corresponding to the current position of the skin ; The actual required cutting depth is ; S43, set the normal vector of the tool corresponding to the current position of the skin to , then the cutting adjustment amount ; S44, the cutting path point corresponding to the current position of the skin is After the cutting adjustment amount is compensated into the cutting path point, the actual cutting path point is obtained as ; S45, the controller of the five-axis machining equipment cuts the skin according to the actual cutting path points.

[0023] Preferably, the normal vector setting takes into account the curvature of the skin to ensure smooth tool movement along the skin surface during cutting, avoiding excessive cutting forces or cutting errors. During the actual cutting process, the cutting path points are determined based on the preset cutting path and the shape characteristics of the skin. By incorporating the cutting adjustment compensation into the cutting path points, a more accurate actual cutting path point can be obtained, thereby achieving precise control of the skin processing process.

[0024] Furthermore, step S2 specifically includes: Get sub-region Thickness data of each position point , get the sub-region Area , and then calculate the skin thickness data, the calculation formula is: in, Indicates sub-region Skin thickness data.

[0025] Optimally, by accurately measuring the thickness data at each point within the sub-region, uniformity of the skin thickness can be ensured during subsequent processing, thereby improving processing quality. Calculating the area of ​​the sub-region and combining it with the thickness data can yield more accurate skin thickness data, providing an important basis for subsequent cutting path planning and cutting adjustment calculations, further improving processing accuracy and stability.

[0026] Furthermore, step S3 includes: the cutting depth control module calculates the cutting depth required by the tool according to the skin thickness data , the calculation formula is: The optimal cutting speed for each sub-region is designed to be in, represents the optimal cutting speed, represents the first constant, represents the second constant, Indicates standard cutting parameters; The feed rate of each of the sub-areas is designed to be in, Indicates the feed rate, represents the third constant, represents the fourth constant, Indicates standard feed parameters.

[0027] By precisely calculating the cutting depth and optimal cutting speed, we maximize tool efficiency during skin machining, significantly improving production efficiency. Precise feed rate design helps maintain cutting stability, reducing vibration and fluctuations in cutting forces, thereby minimizing surface roughness and the risk of damage. Real-time monitoring and adjustment of cutting parameters can promptly identify and resolve potential issues, avoid scrap, and further reduce production costs.

[0028] Preferably, in a specific implementation case, .

[0029] Specifically, according to Determine a number of cutting path points for each of the sub-regions , and then the tool path optimization module is based on and A cutting path for each of the sub-regions is planned.

[0030] Preferably, a tool path is generated using CAM software based on the optimized parameters of each sub-region, so that the tool path is smooth and an effective transition is made between regions. and combine them into a global toolpath , the calculation formula is: For areas with thicker skin, the cutting speed and feed rate of the tool can be appropriately increased, while for areas with thinner thickness, the cutting parameters should be appropriately reduced to avoid over-cutting.

[0031] A control system for skin processing, the control system is used to execute the control method described above, the control system comprising: a tool path optimization module, the tool path optimization module is used to optimize the cutting path of the tool; a thickness detection module, the thickness detection module is used to detect the thickness of the skin; a cutting depth control module, the cutting depth control module is used to optimize the cutting parameters of the tool; and a five-axis machining device, the five-axis machining device comprising a workbench, a motion axis, an ultrasonic sensor, a tool, and a controller.

[0032] Preferably, the thickness detection module is a thickness detection sensor, which is one or more of an ultrasonic sensor, an eddy current sensor, a laser ranging sensor, and an optical sensor.

[0033] Ideally, a five-axis machining center features five axes of motion, enabling complex motion within space. The center spindle of the five-axis machining center is equipped with a tool and ultrasonic sensor. By flexibly adjusting the position of the spindle and worktable, the thickness sensor is always aligned with the tool processing area, enabling real-time monitoring of the skin thickness. Simultaneously, the five-axis machining center precisely adjusts the tool's cutting depth and path according to controller instructions, achieving high-precision machining of the skin.

[0034] In a specific implementation case, the specific workflow is as follows: Skin clamping: Place the skin after the drawing process on the workbench of the five-axis processing equipment and use a special clamp to fix the skin. The design of the clamp should take into account the shape and processing requirements of the skin to ensure that the skin will not be displaced or deformed during the processing. After the clamping is completed, the skin is preliminarily positioned to determine its approximate position and posture on the workbench. Skin thickness scanning: Start the ultrasonic sensor in the thickness detection module to perform a preliminary thickness scan of the skin, obtain the overall thickness distribution of the skin, and plan the cutting path; Skin processing: During the processing, the ultrasonic sensor in the thickness detection module continuously monitors the thickness of the skin in real time and transmits the detected skin thickness data to the cutting depth control module in real time. The cutting depth control module dynamically adjusts the tool's cutting depth based on the thickness data. For example, when an increase in local skin thickness is detected, the tool's cutting depth is immediately increased, and vice versa. At the same time, the tool path optimization module optimizes the tool's cutting path and cutting parameters based on the thickness changes of the skin, further improving processing accuracy and efficiency. For example, in areas with greater thickness, the tool can use a higher cutting speed and feed rate, while in areas with less thickness, smaller cutting parameters are used to avoid over-cutting.

[0035] After the skin is processed, the control system automatically stops processing when all the processing areas are completed. At this time, the operator can perform a quality inspection on the processed skin to check whether its thickness is uniform and whether the surface quality meets the requirements. If the inspection results meet the process requirements, the processing process ends; if there are any unqualified conditions, the cutting parameters can be adjusted based on the inspection results and the processing can be restarted.

[0036] The present invention can effectively solve the problem of inconsistent thickness caused by using ordinary five-axis equipment for milling after the skin is stretched by real-time monitoring of the skin thickness and real-time adjustment of the cutting depth, thereby improving the accuracy and efficiency of skin processing, reducing production costs, and reducing environmental pollution.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A control method for skin processing, characterized in that: include: S1, the tool path optimization module obtains the skin processing area and divides the skin processing area into sub-regions ; S2, a thickness detection module detects the skin thickness data of each sub-region; S3, the cutting depth control module optimizes the cutting parameters of the tool according to the skin thickness data, and then the tool path optimization module generates a cutting path; S4, the controller of the five-axis machining device processes the skin according to the cutting path.

2. A control method for skin processing according to claim 1, characterized in that: After step S4, the following steps are also included: S41, during the skin processing, the thickness detection module detects the real-time thickness data of the skin in real time ; S42, the cutting depth control module obtains the target machining thickness value of the tool corresponding to the current position of the skin ; The actual required cutting depth is ; S43, set the normal vector of the tool corresponding to the current position of the skin to , then the cutting adjustment amount ; S44, the cutting path point corresponding to the current position of the skin is After the cutting adjustment amount is compensated into the cutting path point, the actual cutting path point is obtained as ; S45, the controller of the five-axis machining equipment cuts the skin according to the actual cutting path points.

3. The control method for skin processing according to claim 1, characterized in that: Step S2 specifically includes: Get sub-region Thickness data of each position point , get the sub-region Area , and then calculate the skin thickness data, the calculation formula is: in, Indicates sub-region Skin thickness data.

4. A control method for skin processing according to claim 3, characterized in that: Step S3 includes: The cutting depth control module calculates the cutting depth required by the tool according to the skin thickness data , the calculation formula is: The optimal cutting speed for each sub-region is designed to be in, represents the optimal cutting speed, represents the first constant, represents the second constant, Indicates standard cutting parameters; The feed rate of each of the sub-areas is designed to be in, Indicates the feed rate, represents the third constant, represents the fourth constant, Indicates standard feed parameters.

5. The control method for skin processing according to claim 4, characterized in that: according to Determine a number of cutting path points for each of the sub-regions , and then the tool path optimization module is based on and A cutting path for each of the sub-regions is planned.

6. A control system for skin processing, characterized in that: The control system is used to execute the control method according to any one of claims 1 to 5, and the control system includes: A tool path optimization module, wherein the tool path optimization module is used to optimize the cutting path of the tool; A thickness detection module, wherein the thickness detection module is used to detect the thickness of the skin; A cutting depth control module, wherein the cutting depth control module is used to optimize the cutting parameters of the tool; A five-axis machining device comprises a workbench, a motion axis, an ultrasonic sensor, a tool and a controller.

7. A skin processing control system according to claim 6, characterized in that: The thickness detection module is a thickness detection sensor.

8. A skin processing control system according to claim 7, characterized in that: The thickness detection sensor is one or more of an ultrasonic sensor, an eddy current sensor, a laser ranging sensor, and an optical sensor.

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