Self-compensation machining method and system for inner cavity of thin-wall cabin

Abstract

The invention provides a self-compensation machining method and system for an inner cavity of a thin-wall cabin. The self-compensation machining method comprises the following steps: (1) preparing a metal blank with uniform and consistent physical characteristics; (2) reasonably installing and positioning a thin-wall cabin on the equipment; (3) setting a machining zero point and compensating the length of the cutter; (4) preposed optimization of a cutter path; (5) the cooling liquid containing the carbon nano tube automatically induces and calibrates the wall thickness; (6) real-time ball-end cutter included angle self-induction thin-wall metal wall thickness calibration is conducted through cooling liquid containing carbon nanotubes; (7) calculating the error between the induction wall thickness and the theoretical wall thickness of the product; (8) automatically compensating and correcting preposed planned cutter spacing data; and (9) traversing the machined inner surface of the thin-wall inner cavity. Real-time effective machining of all point positions of the thin-wall inner cavity can be achieved, and technical support is provided for obtaining a qualified thin-wall cabin through one-time machining.

Description

Technical Field

[0001] The present invention relates to the field of mechanical processing technology, and in particular to a method and system for self-compensation processing of a thin-walled cabin inner cavity, and in particular to a method for high-efficiency, high-precision, self-compensation processing of a thin-walled cabin inner cavity. Background Art

[0002] In the field of aerospace, weapons and equipment design and manufacturing, reducing structural weight is a very important design and manufacturing concept to improve aerospace and aviation carrying capacity and the flight strike distance of weapons and equipment, and has become a development trend of modern advanced manufacturing technology. Among them, thin-walled cabins (wall thickness 1-3mm) are important external parts of strategic weapons missiles and launch vehicles, with high precision requirements (generally the wall thickness tolerance needs to meet ±0.05) and long production cycle.

[0003] Traditional thin-walled cavities mainly rely on the means of installing angle milling heads on traditional equipment, and after rough machining → semi-finishing → finishing, the product wall thickness is gradually measured manually, and the product wall thickness is gradually adjusted by manually adjusting the tool length compensation to make the cabin wall thickness finally meet the requirements. However, traditional methods have problems such as partial over-tolerance of product wall thickness, serious time consumption, and low actual production efficiency.

[0004] Patent document CN116117597A provides an online measurement and compensation processing method for a spacecraft thin-wall cabin lightening groove, including the following steps: installing a thickness probe; setting measurement points on the surface of each lightening groove to be processed and obtaining the theoretical thickness and outer contour position; measuring the actual thickness of each measurement point and obtaining the actual outer contour position; calculating the compensation value of each measurement point according to the theoretical value and measurement value of the thickness and outer contour; judging whether the compensation requirements are met according to the compensation value, if so, compensating the tool length based on the comprehensive compensation value and then processing; if not, reconstructing the processing surface based on the actual thickness and outer contour position, and processing based on the reconstructed processing surface using the initial tool length. However, the accuracy still needs to be improved.

[0005] In view of the technical problems existing in the prior art, the present invention proposes a self-compensating processing method and system for the inner cavity of a thin-walled cabin. This efficient, high-precision, self-compensating processing method for the inner cavity of a thin-walled cabin can realize real-time and effective processing of various points in the thin-walled inner cavity, providing technical support for obtaining a qualified thin-walled cabin body in a single processing. Summary of the invention

[0006] In view of the defects in the prior art, an object of the present invention is to provide a method and system for self-compensation processing of the inner cavity of a thin-walled cabin.

[0007] A thin-wall cabin inner cavity self-compensation processing method provided by the present invention comprises:

[0008] Step S1: preparing a metal blank;

[0009] Step S2: installing and positioning the thin-walled cabin on the equipment;

[0010] Step S3: machining zero point setting and tool length compensation;

[0011] Step S4: tool path pre-optimization;

[0012] Step S5: the coolant containing carbon nanotubes automatically senses and calibrates the wall thickness;

[0013] Step S6: real-time ball-end tool angle self-sensing thin-wall metal wall thickness calibration using a coolant containing carbon nanotubes;

[0014] Step S7: Calculate the error between the induced wall thickness and the theoretical wall thickness of the product;

[0015] Step S8: Automatic compensation and correction of pre-planned tool position data;

[0016] Step S9: traverse and process the inner surface of the thin-walled inner cavity; wherein the thin-walled cavity refers to a wall thickness of 1-3 mm.

[0017] Preferably, the step S1 comprises: selecting a metal cabin body that needs to be processed internally as the original blank, confirming that each spatial position that needs to be processed has the same physical properties, and the error of the physical properties at each position does not exceed 5%;

[0018] The step S2 includes: installing and positioning by tooling, gluing, and pressing plates;

[0019] The step S3 includes: setting the product processing coordinate system according to the characteristics of the thin-walled cabin, installing a ball-end processing tool with internal cooling, and compensating the tool length to the equipment numerical control system; the inner cavity processing tool is a ball-end tool with internal cooling, and the internal cooling opening position is at the center of the ball-end tool.

[0020] Preferably, step S4 includes: planning the optimal inner cavity machining tool position trajectory according to the characteristics of the thin-wall cabin inner cavity, improving the continuity and efficiency of subsequent tool position data self-compensation and the stability of the cutting process; the tool optimized trajectory has the characteristics of smooth tool trajectory, less advance and retreat times, and uniform cutting amount at all locations;

[0021] The step S5 includes: according to the inner surface of the thin-wall cabin, the real-time measurement of the metal thin wall is realized, and the wall thickness induced by the coolant containing carbon nanotubes is calibrated by uniformly taking a point in each set area to measure the wall thickness of the product by ultrasonic measurement, so as to ensure the consistency of the wall thickness at various locations; when the cutting fluid containing carbon nanotubes is sprayed at the cooling hole in the ball-end cutter, due to the conductivity of the carbon nanotubes, according to the electromagnetic physical properties of the metal wall thickness, the cutting fluid containing carbon nanotubes can measure the wall thickness data in real time to sense the wall thickness, thereby realizing the real-time measurement of the product wall thickness by cutting fluid following.

[0022] Preferably, in step S5: the carbon nanotube cutting fluid is conductive, and an electric field Ea of a certain strength is generated from the cabin to the tool handle by fixing an anode and a cathode electrode on the cabin and the tool handle respectively. According to different cutting materials having different electric field strength characteristics, the electric field strength characteristics of different materials are measured by calibration. There is a fixed contact point a between the cutting area and the tool, and the contact point has conductive properties within a certain area S. Different wall thickness areas form different electric potential energies, and the size of the electric potential energy reflects the change in the corresponding wall thickness of the cabin.

[0023] Preferably, step S6 includes: during the actual processing of the inner cavity of the thin-walled cabin, running the optimal tool position trajectory pre-planned in step S4, and obtaining real-time wall thickness data at the point in real time through the coolant containing carbon nanotubes. Different wall thicknesses and different cutting angles jointly determine the final potential difference of the product. By calibrating the influence of different angles on the potential difference, the real-time wall thickness data h of each processing position of the product can be obtained.

[0024] Preferably, in step S6:

[0025] (1) When the angle between the ball-end tool and the thin-walled inner cavity is 90°, the carbon nanotubes in the cutting fluid are evenly distributed at the tip of the ball-end tool, through the distribution area S1, and the electric field strength is E(90); when the angle between the ball-end tool and the thin-walled inner cavity is 90°, the state at this time is considered to be the standard state, and the wall thickness measured at this time is h0;

[0026] (2) When the angle between the ball-end tool and the thin-walled inner cavity is greater than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / b, where f is the carbon nanotube material coefficient and b is the angle influence coefficient. At this time, the electric field intensity E(θ)=E(90)*b / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ);

[0027] (3) When the angle between the ball-end tool and the thin-walled inner cavity is less than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / a, where f is the carbon nanotube material coefficient and a is the angle influence coefficient. At this time, the electric field intensity E(θ)=E(90)*a / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ);

[0028] S1 is the distribution area of ​​the carbon nanotubes in the cutting fluid uniformly distributed on the ball-end tool tip, E(90) is the electric field strength when the angle between the ball-end tool and the thin-walled inner cavity is 90°, and the wall thickness measured when the angle between the ball-end tool and the thin-walled inner cavity is 90° is h0.

[0029] Preferably, the step S7 comprises: collecting the wall thickness data of the spatial point in real time according to the cooling liquid containing carbon nanotubes and comparing it with the theoretical wall thickness data of the spatial point to obtain the actual error of the wall thickness data of the spatial point;

[0030] The method of obtaining the actual error of the spatial point wall thickness data is: by real-time measurement of the actual processing wall thickness h(1) of the product, the theoretical wall thickness of the product is determined according to the design index of the product, which is h(0), and the actual processing error λ=h(1)-h(0);

[0031] The actual error is the specific actual value of undercutting or overcutting caused by deformation of the product during machining according to the theoretical contour.

[0032] Preferably, step S8 includes: by real-time compensation and correction of the point data at the spatial point optimized in advance in step 4, and then correcting the actual tool position trajectory at the point, to achieve real-time self-compensation and self-correction of the tool trajectory, to ensure that the final wall thickness reaches the theoretical wall thickness h(0) of the product; the self-compensation standard procedure in step S8 is: according to the processing error λ obtained in real time, by automatically correcting X, Y, Z of the CNC processing program, to ensure:

[0033]

[0034] Complete the real-time correction of the product tool trajectory to ensure that the final wall thickness reaches the product theoretical wall thickness h(0);

[0035] The step S9 includes: traversing all machining tool position trajectories of step eight to achieve compensation machining of the inner cavity of the thin-walled cabin.

[0036] According to a thin-walled cabin body inner cavity self-compensation processing system provided by the present invention, the thin-walled cabin body inner cavity self-compensation processing method is used for processing.

[0037] A thin-walled cabin body inner cavity provided by the present invention is obtained by processing using the thin-walled cabin body inner cavity self-compensation processing method described above, or by processing using the thin-walled cabin body inner cavity self-compensation processing system described above.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. The present invention realizes the conductive property of the cutting fluid by using the cutting fluid containing carbon nanotubes, thereby realizing the real-time measurement of the wall thickness of the metal thin-wall cabin.

[0040] 2. The present invention measures the wall thickness of the metal thin-wall inner cavity in real time by using a cutting fluid containing carbon nanotubes, thereby obtaining the real-time processing error of the wall thickness of the thin-wall metal cabin.

[0041] 3. The present invention realizes real-time online correction and compensation of products through real-time compensation and correction of tool position points in various planned spaces, achieves uniform wall thickness at various locations of the inner cavity of the thin-walled cabin, and obtains efficient, high-precision, self-compensating processing of the thin-walled metal inner cavity. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0043] Figure 1 Shown is a schematic flow chart of the processing method steps of the present invention.

[0044] Figure 2 It is a schematic diagram of a thin-wall cabin inner cavity = 90° compensation method provided by an embodiment of the present invention.

[0045] Figure 3 It is a schematic diagram of a compensation method for the inner cavity of a thin-walled cabin>90° provided by an embodiment of the present invention.

[0046] Figure 4 It is a schematic diagram of a compensation method for the inner cavity of a thin-wall cabin of less than 90° provided by an embodiment of the present invention.

[0047] The figure shows:

[0048] Metal cabin 1

[0049] Ball end tool with inner coolant hole in the center of the ball end tool 2

[0050] Coolant containing carbon nanotubes3

[0051] Equipment side milling head 4

[0052] Carbon nanotube wall thickness sensing system 5

[0053] Data processing system 6

[0054] Point feedback correction system 7 DETAILED DESCRIPTION

[0055] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0056] The method of the present invention aims to solve the technical problems that the wall thickness of the product cannot be measured online in real time, compensated and measured during the existing processing of the inner cavity of the thin-walled cabin, resulting in uneven wall thickness of the product, serious local deviation, low production efficiency, etc. The present invention mainly installs a ball head tool with internal cooling, a carbon nanotube wall thickness sensing system, a data processing system, and a point feedback correction system on the basis of the traditional angle milling head. The wall thickness of the thin-walled cabin is sensed in real time by the wall thickness sensing system containing carbon nanotube coolant. The data processing system calculates the error between the theoretical wall thickness size at each point and the real-time sensing wall thickness data in real time. The point feedback and correction system corrects the pre-optimized tool trajectory point data in real time, realizing real-time and effective processing of each point in the thin-walled inner cavity, and providing technical support for obtaining a qualified thin-walled cabin in one processing.

[0057] The present invention provides a high-efficiency, high-precision, self-compensation processing method for the inner cavity of a special-shaped thin-walled cabin, the processing method comprising the following steps: (1) preparing a metal blank with uniform physical properties at all locations; (2) reasonably installing and positioning the thin-walled cabin on the equipment; (3) setting the processing zero point and compensating the tool length; (4) pre-optimizing the tool path; (5) automatically sensing and calibrating the wall thickness with a coolant containing carbon nanotubes; (6) self-sensing the thin-wall metal wall thickness calibration with a real-time ball-end tool angle with a coolant containing carbon nanotubes; (7) calculating the error between the product sensing wall thickness and the theoretical wall thickness; (8) automatically compensating and correcting the pre-planned tool position data; (9) traversing the inner surface of the thin-walled inner cavity. Wherein, the thin wall refers to a wall thickness of 1-3 mm.

[0058] The present invention will be described in more detail below.

[0059] The processing method comprises the following steps:

[0060] Step 1: Select any metal cabin that needs to be processed internally as the original blank, such as Figure 2 As shown, the spatial positions of the inner cavity of the metal blank that need to be processed have the same physical properties, and the error of the physical properties at each location does not exceed 5%, so as to reduce the compensation error caused by the subsequent automatic compensation due to the blank material problem;

[0061] Step 2: Use conventional installation and positioning methods such as tooling, gluing, and pressing plates to reliably install the thin-walled cabin on the equipment to prevent product vibration;

[0062] Step 3: Set the product processing coordinate system according to the characteristics of the thin-walled cabin, install a ball-end processing tool with internal cooling, and compensate the tool length to the equipment CNC system; the inner cavity processing tool is a ball-end tool with internal cooling, and the internal cooling hole is located at the center of the ball-end tool;

[0063] Step 4: Plan the optimal tool position trajectory for inner cavity machining according to the characteristics of the inner cavity of the thin-walled cabin body, and improve the continuity and efficiency of subsequent tool position data self-compensation and the stability of the cutting process; the tool optimized trajectory has the characteristics of smooth tool trajectory, less advance and retreat times, and uniform cutting amount at all locations. In the preferred example, there is only one advance and retreat, and the ball-end tool has uniform cutting amount when machining the inner cavity of the thin-walled cabin body, ensuring consistent tool cutting state and stable cutting process;

[0064] Step 5: According to the inner surface of the thin-walled cabin, Figure 2 As shown, the real-time measurement of metal thin walls is realized by measuring the area of ​​each set area, such as 25cm 2 In the area, a point is evenly selected to calibrate the wall thickness induced by the coolant containing carbon nanotubes by ultrasonic measurement of the product wall thickness, so as to ensure that the wall thickness is coordinated and consistent at all locations;

[0065] Among them, when the cutting fluid containing carbon nanotubes is sprayed at the cooling hole in the ball-end cutter, due to the conductivity of carbon nanotubes, according to the electromagnetic physical characteristics of the metal wall thickness, the cutting fluid containing carbon nanotubes can measure the wall thickness data in real time to sense the wall thickness, and then achieve real-time measurement of the product wall thickness by following the cutting fluid. Specifically, the carbon nanotube cutting fluid has conductivity, and by fixing the electrode anode and cathode on the cabin and the tool handle respectively, an electric field Ea of a certain intensity is generated from the cabin to the tool handle. According to the different electric field intensity characteristics of different cutting materials, the electric field intensity characteristics of different materials are measured by calibration. There is a fixed contact point a between the cutting area and the tool, and the contact point has conductive characteristics in a certain area S, and different wall thickness areas form different electric potential energies. The magnitude of the electric potential energy can reflect the change in the corresponding wall thickness of the cabin.

[0066] Step 6: During the actual processing of the thin-wall cabin inner cavity, the optimal tool position trajectory pre-planned in step 4 is run, and the real-time wall thickness data at the point is obtained in real time through the coolant containing carbon nanotubes. Different wall thicknesses and different cutting angles jointly determine the final potential difference of the product. By calibrating the influence of different angles on the potential difference, the real-time wall thickness data h of each processing position of the product can be obtained; Figure 2 The figure shows the processing state when the angle between the ball-end tool and the thin-wall inner cavity is 90°. Figure 3 The angle between the ball-end tool and the thin-wall inner cavity is greater than 90°. Figure 4 The angle between the ball-end tool and the thin-wall inner cavity is less than 90° in the processing state; corresponding to the implementation of step six in three different embodiments:

[0067] (1) When the angle between the ball-end tool and the thin-walled inner cavity is 90°, the carbon nanotubes in the cutting fluid are evenly distributed at the tip of the ball-end tool, through the distribution area S1, and the electric field strength is E(90); when the angle between the ball-end tool and the thin-walled inner cavity is 90°, the state at this time is considered to be the standard state, and the wall thickness measured at this time is h0;

[0068] (2) When the angle between the ball-end tool and the thin-walled inner cavity is greater than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / b, where f is the carbon nanotube material coefficient and b is the angle influence coefficient. At this time, the electric field strength E(θ)=E(90)*b / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ).

[0069] (3) When the angle between the ball-end tool and the thin-walled inner cavity is less than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / a, where f is the carbon nanotube material coefficient and a is the angle influence coefficient. At this time, the electric field intensity E(θ)=E(90)*a / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ).

[0070] In the actual cabin cavity machining process, the inclination angle θ of the tool at any machining moment can be known in real time, and then the wall thickness of the product can be measured in real time based on the above different relationships.

[0071] Step 7: Figure 2 As shown, the data processing system collects the wall thickness data of the spatial point in real time according to the cooling liquid containing carbon nanotubes and compares it with the theoretical wall thickness data of the spatial point to obtain the actual error of the wall thickness data of the spatial point. Specifically, the actual error of the wall thickness data of the spatial point is obtained by measuring the actual processing wall thickness h(1) of the product in real time. The theoretical wall thickness of the product is determined according to the design index of the product, generally h(0), and the actual processing error λ=h(1)-h(0);

[0072] The actual error is the specific actual value of undercutting or overcutting caused by deformation of the product during machining according to the theoretical contour.

[0073] Step 8: Figure 2 As shown in the figure, the point feedback correction system compensates and corrects the point data of the spatial point optimized in step 4 in real time, and then corrects the actual tool position trajectory at that point, realizing real-time self-compensation and self-correction of the tool trajectory, ensuring that the final wall thickness reaches the theoretical wall thickness h(0) of the product. That is, according to the processing error λ obtained in real time, by automatically correcting the X, Y, and Z of the CNC processing program, it is ensured that:

[0074]

[0075] This completes the real-time correction of the product tool trajectory and ensures that the final wall thickness reaches the product's theoretical wall thickness h(0).

[0076] Finally, step nine is to traverse all machining tool position trajectories of step eight to achieve efficient, high-precision, self-compensating machining of the inner cavity of the thin-walled cabin.

[0077] According to a thin-walled cabin body inner cavity self-compensation processing system provided by the present invention, the thin-walled cabin body inner cavity self-compensation processing method is used for processing.

[0078] A thin-walled cabin body inner cavity provided by the present invention is obtained by processing using the thin-walled cabin body inner cavity self-compensation processing method described above, or by processing using the thin-walled cabin body inner cavity self-compensation processing system described above.

[0079] In summary, the present invention provides a method and system for efficient, high-precision, self-compensating processing of the inner cavity of a thin-walled cabin. The method uses a coolant containing carbon nanotubes to automatically sense the thickness of the metal thin wall through the cooling hole in the ball head tool. The data processing system obtains the error between the actual thin-walled cabin wall thickness and the theoretical cabin wall thickness in real time, and then the actual in-place data is self-compensated and self-corrected through the pre-planned point data, thereby achieving real-time and accurate cutting of the actual in-place data, thereby achieving efficient and high-precision processing of the thin-walled cabin cavity.

[0080] In the description of the present application, it should be understood that the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0081] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for self-compensation processing of the inner cavity of a thin-walled cabin, characterized in that: include: Step S1: preparing a metal blank; Step S2: installing and positioning the thin-walled cabin on the equipment; Step S3: machining zero point setting and tool length compensation; Step S4: tool path pre-optimization; Step S5: the coolant containing carbon nanotubes automatically senses and calibrates the wall thickness; Step S6: real-time ball-end tool angle self-sensing thin-wall metal wall thickness calibration using a coolant containing carbon nanotubes; Step S7: Calculate the error between the induced wall thickness and the theoretical wall thickness of the product; Step S8: Automatic compensation and correction of pre-planned tool position data; Step S9: traverse and process the inner surface of the thin-walled inner cavity; wherein the thin-walled cavity refers to a wall thickness of 1-3 mm.

2. The thin-wall cabin inner cavity self-compensation processing method according to claim 1 is characterized in that: The step S1 comprises: selecting a metal cabin body that needs to be processed internally as the original blank, confirming that the spatial positions that need to be processed have the same physical properties, and the error of the physical properties at each position does not exceed 5%; The step S2 includes: installing and positioning by tooling, gluing, and pressing plates; The step S3 includes: setting the product processing coordinate system according to the characteristics of the thin-walled cabin, installing a ball-end processing tool with internal cooling, and compensating the tool length to the equipment numerical control system; the inner cavity processing tool is a ball-end tool with internal cooling, and the internal cooling opening position is at the center of the ball-end tool.

3. The thin-wall cabin inner cavity self-compensation processing method according to claim 1 is characterized in that: Step S4 includes: planning the optimal inner cavity machining tool position trajectory according to the characteristics of the thin-wall cabin inner cavity, improving the continuity and efficiency of subsequent tool position data self-compensation and the stability of the cutting process; the tool optimized trajectory has the characteristics of smooth tool trajectory, less advance and retreat times, and uniform cutting amount at all locations; The step S5 includes: according to the inner surface of the thin-wall cabin, the real-time measurement of the metal thin wall is realized, and the wall thickness induced by the coolant containing carbon nanotubes is calibrated by uniformly taking a point in each set area to measure the wall thickness of the product by ultrasonic measurement, so as to ensure the consistency of the wall thickness at various locations; when the cutting fluid containing carbon nanotubes is sprayed at the cooling hole in the ball-end cutter, due to the conductivity of the carbon nanotubes, according to the electromagnetic physical properties of the metal wall thickness, the cutting fluid containing carbon nanotubes can measure the wall thickness data in real time to sense the wall thickness, thereby realizing the real-time measurement of the product wall thickness by cutting fluid following.

4. The thin-wall cabin inner cavity self-compensation processing method according to claim 3 is characterized in that: In step S5: the carbon nanotube cutting fluid is conductive, and an electric field Ea of a certain strength is generated from the cabin to the tool handle by fixing an anode and a cathode electrode on the cabin and the tool handle respectively. According to different electric field strength characteristics of different cutting materials, the electric field strength characteristics of different materials are measured by calibration. There is a fixed contact point a between the cutting area and the tool, and the contact point has conductive properties within a certain area S. Different wall thickness areas form different electric potential energies, and the size of the electric potential energy reflects the change in the corresponding wall thickness of the cabin.

5. The thin-wall cabin inner cavity self-compensation processing method according to claim 1 is characterized in that: The step S6 includes: during the actual processing of the inner cavity of the thin-walled cabin, the optimal tool position trajectory pre-planned in step S4 is run, and the real-time wall thickness data at the point is obtained in real time through the coolant containing carbon nanotubes. Different wall thicknesses and different cutting angles jointly determine the final potential difference of the product. By calibrating the influence of different angles on the potential difference, the real-time wall thickness data h of each processing position of the product can be obtained.

6. The thin-wall cabin inner cavity self-compensation processing method according to claim 5 is characterized in that: In step S6: (1) When the angle between the ball-end tool and the thin-walled inner cavity is 90°, the carbon nanotubes in the cutting fluid are evenly distributed at the tip of the ball-end tool, through the distribution area S1, and the electric field strength is E(90); when the angle between the ball-end tool and the thin-walled inner cavity is 90°, the state at this time is considered to be the standard state, and the wall thickness measured at this time is h0; (2) When the angle between the ball-end tool and the thin-walled inner cavity is greater than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / b, where f is the carbon nanotube material coefficient and b is the angle influence coefficient. At this time, the electric field intensity E(θ)=E(90)*b / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ); (3) When the angle between the ball-end tool and the thin-walled inner cavity is less than 90°, the distribution area of ​​the carbon nanotubes in the cutting fluid at the ball end is f*S1 / a, where f is the carbon nanotube material coefficient and a is the angle influence coefficient. At this time, the electric field intensity E(θ)=E(90)*a / (f*S1); at this time, the wall thickness is h(δ)=h0*μ, where μ is the angle constant, which is positively correlated with E(θ); S1 is the distribution area of ​​the carbon nanotubes in the cutting fluid uniformly distributed on the ball-end tool tip, E(90) is the electric field strength when the angle between the ball-end tool and the thin-walled inner cavity is 90°, and the wall thickness measured when the angle between the ball-end tool and the thin-walled inner cavity is 90° is h0.

7. The thin-wall cabin inner cavity self-compensation processing method according to claim 1 is characterized in that: The step S7 comprises: collecting the wall thickness data of the spatial point in real time according to the cooling liquid containing carbon nanotubes, and comparing it with the theoretical wall thickness data of the spatial point to obtain the actual error of the wall thickness data of the spatial point; The method of obtaining the actual error of the spatial point wall thickness data is: by real-time measurement of the actual processing wall thickness h(1) of the product, the theoretical wall thickness of the product is determined according to the design index of the product, which is h(0), and the actual processing error λ=h(1)-h(0); The actual error is the specific actual value of undercutting or overcutting caused by deformation of the product during machining according to the theoretical contour.

8. The thin-wall cabin inner cavity self-compensation processing method according to claim 1 is characterized in that: The step S8 comprises: by real-time compensation and correction of the point data at the spatial point optimized in the step 4, and then correcting the actual tool position trajectory at the point, to achieve real-time self-compensation and self-correction of the tool trajectory, to ensure that the final wall thickness reaches the theoretical wall thickness h(0) of the product; the self-compensation standard procedure in the step S8 is: according to the processing error λ obtained in real time, by automatically correcting the X, Y, and Z of the CNC processing program, to ensure: Complete the real-time correction of the product tool trajectory to ensure that the final wall thickness reaches the product theoretical wall thickness h(0); The step S9 includes: traversing all machining tool position trajectories of step eight to achieve compensation machining of the inner cavity of the thin-walled cabin.

9. A thin-wall cabin inner cavity self-compensation processing system, characterized in that: The processing is carried out by adopting the thin-wall cabin inner cavity self-compensation processing method described in any one of claims 1 to 8.

10. A thin-wall cabin inner cavity, characterized in that: It is obtained by processing using the thin-walled cabin body inner cavity self-compensation processing method described in any one of claims 1 to 8, or by processing using the thin-walled cabin body inner cavity self-compensation processing system described in claim 9.

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