Cutting parameter planning method and device for quadratic parabola curve cutting edge tool

Abstract

The present invention provides a cutting parameter planning method and device for a quadratic parabola curve cutting edge tool, and relates to the technical field of tool cutting. The present invention generates a cutting edge cutting force evaluation coefficient and a temperature friction coefficient by analyzing cutting data and cutting temperature, and compares and analyzes the coordinate characteristic parameters of the current tool and the designed quadratic parabola cutting edge, generates a tool cutting edge roughness influence index for reflecting the changing characteristics of the cutting force caused by the influence of the cutting edge roughness during tool cutting, collects tool material data, analyzes it, generates a tool material influence index for reflecting the changing characteristics of the cutting force caused by the influence of the tool's own material, further analyzes and generates a tool cutting force index for reflecting the degree of influence on the cutting force of the current tool, compares it with an influence threshold, and outputs the confidence level of cutting abnormality of the tool cutting edge.

Description

Technical Field

[0001] The invention relates to the technical field of tool cutting, and in particular to a cutting parameter planning method and device for a quadratic parabola curve cutting edge tool. Background Art

[0002] Tool cutting technology is an indispensable part of modern manufacturing. With the advancement of industrial automation and intelligent manufacturing, cutting processing plays an increasingly important role in precision machining, material removal and workpiece forming. As a key component in the cutting process, the performance of the tool directly affects the processing efficiency, product quality and production cost.

[0003] During the cutting process of the tool edge, the cutting force required by the tool for cutting the material is affected by many factors. Among them, the symmetry of the tool edge will affect the contact surface between the tool edge and the cutting material, thereby affecting the cutting force. During the cutting process, the tool and the material rub at high speed, causing the tool to heat up, and the temperature increase will affect the friction coefficient of the edge, thereby affecting the cutting force. At the same time, when the tool is used for a long time, the surface will wear and the surface roughness will also affect the cutting force. The combination of multiple factors makes it difficult for staff to judge through experience whether the current required cutting force is within the normal range.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The object of the present invention is to provide a cutting parameter planning method and device for a quadratic parabola curve cutting edge tool to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The cutting parameter planning method of the quadratic parabola curve cutting edge tool includes the following specific steps:

[0008] S1. Establish a quadratic parabola cutting edge coordinate feature, define a value range of the cutting edge radius R, and perform a correlation analysis to generate a quadratic parabola parameter value range of the quadratic parabola cutting edge coordinate feature, perform a correlation analysis on the quadratic parabola cutting edge coordinate feature, and generate a tool cutting edge asymmetry index;

[0009] S2, collecting cutting data, wherein the cutting data includes the strength of the cut material, the cutting area, and the cutting angle, performing correlation analysis on the cutting data and the tool edge asymmetry index, and generating an edge cutting force evaluation coefficient QPX, wherein the edge cutting force evaluation coefficient QPX is used to reflect the relationship between the cutting data and the cutting force;

[0010] S3. During cutting, the cutting temperature of the tool edge is collected, and the cutting temperature of the tool edge is analyzed to generate a temperature friction coefficient WMX. The temperature friction coefficient WMX is used to reflect the influence of temperature on the friction coefficient of cutting;

[0011] S4. Analyze the current tool edge and generate the edge roughness index , and further analyze to generate the tool edge roughness influence index CYZ;

[0012] S5. Collect current tool material data, perform correlation analysis on the current tool material data, and generate a tool material influence index DCY. The tool material influence index DCY is used to reflect the change characteristics of the cutting force caused by the tool being affected by its own material;

[0013] S6. Perform correlation analysis on the tool material influence index DCY and the tool edge roughness influence index CYZ to generate the tool cutting force index DQZ. The tool cutting force index DQZ is used to reflect the degree of influence on the cutting force of the current tool, and compare it with the influence threshold to output the confidence level of cutting anomaly of the tool edge.

[0014] Furthermore, when establishing the quadratic parabola edge coordinate feature, the edge is taken as the reference, the tip of the blade is the vertex, and the back face is the parabola section. The coordinate system centered on the vertex, the coordinates of any point P on the quadratic parabola are , the inflection point of the back tool face is defined as the back tool face transition point, the inflection point of the rake tool face is defined as the rake tool face transition point, A is the quadratic parabola parameter, which is a unitless constant, and the quadratic parabola deflection angle is , the rake face transition point is , the distance from the rake face transition point to the y-axis is , the transition point of the back cutting edge is , the distance from the flank transition point to the y-axis is , is the wedge angle of the cutting edge, and L is the midpoint of the wedge angle.

[0015] Furthermore, the value range of the cutting edge radius R is defined as 0.01mm-0.1mm, and combined with the quadratic parabola equation The vertex curvature radius of the curve is analyzed for correlation to generate the value range of the quadratic parabola parameter A, based on the following formula: .

[0016] Furthermore, the correlation analysis of the quadratic parabola cutting edge coordinate features is performed to generate the tool cutting edge asymmetry index RB, based on the formula:

[0017]

[0018] The tool edge asymmetry index RB is used to indicate the asymmetry of the tool edge. When is a symmetrical cutting edge, When is the horn edge, when Sometimes it is the edge of a waterfall;

[0019] Strength of cut material , cutting area , cutting angle , and the tool edge asymmetry index RB is used for correlation analysis to generate the edge cutting force evaluation coefficient QPX, based on the formula:

[0020]

[0021] Among them, the cutting area is the area of ​​the material being cut, and the cutting angle It is the angle between the cutting edge and the surface of the material being cut during cutting. is the cutting edge shape factor, It is used to reflect the ratio index between the area of ​​the cutting edge and the area being cut. The cutting edge cutting force evaluation coefficient QPX is used to reflect the relationship between cutting data and cutting force.

[0022] Furthermore, the cutting temperature T of the tool edge is analyzed to generate the temperature friction coefficient WMX, based on the formula:

[0023] The temperature friction coefficient WMX is used to reflect the influence of temperature on the friction coefficient of cutting. is the friction coefficient of the tool edge surface at room temperature, is the activation energy, which is used to represent the energy required to overcome friction. is the gas constant of the cutting environment, T is the cutting temperature of the tool edge, and the unit is Celsius.

[0024] Furthermore, the actual tool edge contour is used as the reference line, and the connecting line of the rake face transition point and the flank face transition point during the tool edge coordinate feature design is used as the baseline. The reference line and the baseline are placed in the coordinate system for comparison and analysis. 100 points with the same spacing are evenly set on the baseline and the reference line. The coordinate of the i-th point of the baseline is , the coordinates of the jth point of the reference line are , for the coordinates of the ith point on the baseline , coordinates of the jth point on the reference line Perform correlation analysis to generate edge roughness index , the formula based on is:

[0025] Edge roughness index It is used to reflect the roughness of the tool edge during actual cutting, among which the rake face transition point The coordinates of , flank transition point The coordinates of .

[0026] Furthermore, the edge roughness index The analysis is performed to generate the tool edge roughness influence index CYZ, based on the formula:

[0027]

[0028] in, is the Brinell hardness characteristic constant of the cut material, v is the tool cutting speed, D is the tool cutting depth, and the tool edge roughness influence index CYZ is used to reflect the change characteristics of the cutting force caused by the influence of the edge roughness when the tool is cutting;

[0029] The tool material data is collected, including the material constant C, the tool Brinell hardness H, the cutting speed v, and the cutting edge radius R. The tool material data is subjected to correlation analysis to generate the tool material influence index DCY, based on the formula:

[0030]

[0031] The tool material influence index DCY is used to reflect the changing characteristics of the cutting force caused by the influence of the tool's own material.

[0032] Furthermore, the correlation analysis of the temperature friction coefficient WMX, the cutting edge cutting force evaluation coefficient QPX, the tool material influence index DCY and the tool edge roughness influence index CYZ was performed to generate the tool cutting force index DQZ, based on the formula:

[0033]

[0034] The tool cutting force index DQZ is used to reflect the degree of influence of the current tool’s cutting force;

[0035] Impact Threshold =0.59, the tool cutting force index DQZ and the impact threshold For comparison, when , indicating that the confidence level of the current tool’s cutting anomaly is 95%, and the tool needs to be repaired or replaced; when , indicating that the cutting abnormality confidence of the current tool is 10%, and the current tool cutting force is within the normal range.

[0036] The present invention also provides a cutting parameter planning device for a quadratic parabola curve cutting edge tool, which is used to execute a cutting parameter planning method for a quadratic parabola curve cutting edge tool, comprising:

[0037] Cutting edge coordinate feature module, used to establish the quadratic parabola cutting edge coordinate feature;

[0038] A range definition module is used to define the value range of the cutting edge radius R, and to perform correlation analysis to generate the value range of the quadratic parabola parameter of the quadratic parabola cutting edge coordinate feature;

[0039] Tool edge analysis module, used to perform correlation analysis on quadratic parabola edge coordinate features and generate tool edge asymmetry index;

[0040] The cutting force evaluation module is used to collect cutting data, perform correlation analysis on the cutting data and the tool edge asymmetry index, and generate the edge cutting force evaluation coefficient;

[0041] The temperature analysis module is used to collect the cutting temperature of the tool edge, analyze the cutting temperature of the tool edge, and generate the temperature friction coefficient;

[0042] The actual cutting force analysis module is used to analyze the current tool edge, generate the tool cutting force index DQZ, compare it with the impact threshold, and output the cutting anomaly confidence of the tool edge.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention establishes a quadratic parabola edge coordinate feature of the tool edge, analyzes the cutting data and the cutting temperature, generates an edge cutting force evaluation coefficient for reflecting the relationship between the cutting data and the cutting force, and a temperature friction coefficient for reflecting the degree of influence of temperature on the friction coefficient of cutting, compares and analyzes the quadratic parabola edge coordinate feature parameters of the current tool and the designed tool edge, generates a tool edge roughness influence index for reflecting the changing characteristics of the cutting force caused by the influence of the edge roughness during tool cutting, collects tool material data, analyzes it, generates a tool material influence index for reflecting the changing characteristics of the cutting force caused by the influence of the tool's own material, further analyzes and generates a tool cutting force index for reflecting the degree of influence of the current tool's cutting force, compares it with the influence threshold, and outputs the cutting abnormality confidence of the tool edge. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0046] Figure 2 It is a schematic diagram of the system flow of the present invention;

[0047] Figure 3 It is a schematic diagram of the characteristic coordinate system of the quadratic parabola cutting edge coordinates of the present invention. DETAILED DESCRIPTION

[0048] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0049] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0050] Example:

[0051] See also Figure 1-3 , the present invention provides a technical solution:

[0052] The cutting parameter planning method of the quadratic parabola curve cutting edge tool includes the following specific steps:

[0053] Step 1, establish a quadratic parabola cutting edge coordinate feature, define the value range of the cutting edge radius R, and perform correlation analysis to generate the quadratic parabola parameter value range of the quadratic parabola cutting edge coordinate feature, perform correlation analysis on the quadratic parabola cutting edge coordinate feature, and generate the tool cutting edge asymmetry index;

[0054] Reference Figure 3 When establishing the quadratic parabola edge coordinate feature, the edge is taken as the reference, the tip of the blade is the vertex, the back face is the parabola section, and the front face is mapped in the coordinate system to establish the quadratic parabola equation The coordinate system centered on the vertex, the coordinates of any point P on the quadratic parabola are expressed as , the inflection point of the back tool face is defined as the back tool face transition point, the inflection point of the rake tool face is defined as the rake tool face transition point, A is the quadratic parabola parameter, which is a unitless constant, and the quadratic parabola deflection angle is , the rake face transition point is , the distance from the rake face transition point to the y-axis is , the transition point of the back cutting edge is , the distance from the flank transition point to the y-axis is , is the cutting edge tip wedge angle, L is the midline of the wedge angle;

[0055] Using quadratic parabola parameters A and quadratic parabola deflection angle , the rake face transition point is , the distance from the rake face transition point to the y axis , Distance from the transition point of the back cutting edge to the y-axis Four parameters determine the geometry of the cutting edge. The parameters are related to each other and cannot directly determine each other. For example, the wedge angle of the cutting edge tip is determined by the front and back angles, and the quadratic parabola deflection angle also needs to be referenced by the wedge angle. Therefore, it is necessary to set the order of parameter determination to characterize a specific cutting edge, referring to the determination order of the ordinary cutting edge: because the A value is the only factor that determines the size of the cutting edge, the A value is determined by measuring the cutting edge coordinate characteristics, and then the front and back angles of the tool are determined according to the cutting conditions, which also determines the wedge angle of the cutting edge tip. Finally, the quadratic parabola deflection angle is given according to the required shape of the cutting edge.

[0056] The definition of the cutting edge radius R is to take any groups of three base points on the cutting edge arc as the reference to form multiple groups of circles. The closest circle is generated as the reference through MATLAB software fitting, and the radius of the circle is used as the cutting edge radius.

[0057] For the value range of parameter A, the reasonable value range of the cutting edge radius is usually 0.01mm-0.1mm, and this range is used as the vertex curvature radius Corresponds to the quadratic parabola equation , we can get the general value range of A.

[0058] Define the range of cutting edge radius R as 0.01mm-0.1mm, and combine it with the quadratic parabola equation The vertex curvature radius of the curve is analyzed for correlation to generate the value range of the quadratic parabola parameter A, based on the following formula: .

[0059] When analyzing the cutting force at the tool edge, the symmetrical edge design can evenly distribute the cutting force on both sides of the tool, reducing vibration and instability. The wide contact surface of the trumpet edge can effectively disperse the cutting force, reduce the unit cutting force, and thus reduce tool wear and cutting heat. The waterfall edge is designed with an inclined cutting angle, so that the cutting force direction forms a certain angle with the cutting motion direction, thereby reducing the cutting force.

[0060] In order to distinguish the trumpet edge and the waterfall edge and analyze their characteristic index, the correlation analysis of the quadratic parabola edge coordinate characteristics is carried out to generate the tool edge asymmetry index RB, based on the formula:

[0061]

[0062] The tool edge asymmetry index RB is used to indicate the asymmetry of the tool edge. When is a symmetrical cutting edge, When is the horn edge, when When it is a waterfall edge, the farther the value of the tool edge asymmetry index RB is from 1, the more asymmetric the edge shape is.

[0063] Step 2, collecting cutting data, wherein the cutting data includes the strength of the cut material, the cutting area, and the cutting angle, performing correlation analysis on the cutting data and the tool edge asymmetry index, and generating an edge cutting force evaluation coefficient QPX, which is used to reflect the relationship between the cutting data and the cutting force;

[0064] When cutting, the higher the strength of the material being cut, the greater the cutting force required. Similarly, the larger the cutting area, the greater the cutting force required. When the cutting angle is 90 degrees, the cutting edge is perpendicular to the material, and the cutting force required is small. The strength of the material being cut, the cutting area, and the cutting angle are analyzed as follows:

[0065] Strength of cut material , cutting area , cutting angle , and the tool edge asymmetry index RB is used for correlation analysis to generate the edge cutting force evaluation coefficient QPX, based on the formula:

[0066]

[0067] Among them, the cutting area is the area of ​​the material being cut, and the cutting angle It is the angle between the cutting edge and the surface of the material being cut during cutting. is the cutting edge shape factor, It is used to reflect the ratio of the cutting edge area to the cut area. , where R is the cutting edge radius, and the cutting edge cutting force evaluation coefficient QPX is used to reflect the relationship between cutting data and cutting force. The larger the cutting edge cutting force evaluation coefficient QPX is, the greater the cutting force required for the cutting edge affected by the cutting data is.

[0068] Step 3: During cutting, the cutting temperature of the tool edge is collected, and the cutting temperature of the tool edge is analyzed to generate a temperature friction coefficient WMX, which is used to reflect the influence of temperature on the friction coefficient of cutting;

[0069] During cutting, an increase in cutting temperature usually leads to a decrease in the friction coefficient. This is because an increase in temperature affects the physical properties of the material. As the temperature rises, the hardness, strength and toughness of the tool material and the workpiece material decrease, the viscosity of the lubricant decreases, and friction is reduced. The surface of the material changes, forming an oxidation or lubricating film, which reduces friction. The smaller the friction, the smaller the cutting force required during cutting. Analysis of the temperature during cutting:

[0070] The cutting temperature T of the tool edge is analyzed to generate the temperature friction coefficient WMX, based on the formula:

[0071] The temperature friction coefficient WMX is used to reflect the influence of temperature on the friction coefficient of cutting. is the friction coefficient of the tool edge surface at room temperature. The friction coefficient is obtained through friction experiments. is the activation energy, which is used to represent the energy required to overcome friction. is the gas constant of the cutting environment, T is the cutting temperature of the tool edge, in degrees Celsius. The gas constant can be obtained from the gas constant database. The larger the value of the temperature friction coefficient WMX, the greater the influence of temperature on friction during cutting.

[0072] Step 4: Analyze the current tool edge and generate the edge roughness index , and further analyze to generate the tool edge roughness influence index CYZ;

[0073] When the tool edge is rough and uneven, it will affect the cutting force of the tool edge. The greater the roughness, the greater the cutting force required.

[0074] The actual tool edge contour is used as the reference line, and the connecting line of the rake face transition point and the flank face transition point during the tool edge coordinate feature design is used as the baseline. The reference line and the baseline are placed in the coordinate system for comparison and analysis. 100 points with the same spacing are evenly set on the baseline and the reference line. The coordinates of the i-th point of the baseline are , the coordinates of the jth point of the reference line are , for the coordinates of the ith point on the baseline , coordinates of the jth point on the reference line Perform correlation analysis to generate edge roughness index , the formula based on is:

[0075] Edge roughness index It is used to reflect the roughness of the tool edge during actual cutting, among which the rake face transition point The coordinates of , flank transition point The coordinates of ;

[0076] Edge roughness index The analysis is performed to generate the tool edge roughness influence index CYZ, based on the formula:

[0077]

[0078] in, is the Brinell hardness characteristic constant of the material being cut. The Brinell hardness characteristic constant is determined by applying a certain load to the material being cut, using a steel ball indenter of a specific diameter to form an indentation on the material surface, and then experimentally measuring the diameter of the indentation to evaluate the value. v is the tool cutting speed, D is the tool cutting depth, and the tool edge roughness influence index CYZ is used to reflect the changing characteristics of the cutting force caused by the influence of the edge roughness during tool cutting; the cutting depth and cutting speed will also interfere with the cutting force, and the degree of interference of the cutting depth increases exponentially relative to the cutting speed. Therefore, the above formula is used to analyze and generate the tool edge roughness influence index CYZ;

[0079] Step 5: Collect current tool material data, perform correlation analysis on the current tool material data, and generate a tool material influence index DCY. The tool material influence index DCY is used to reflect the change characteristics of the cutting force caused by the tool being affected by its own material.

[0080] The tool material data is collected, including the material constant C, the tool Brinell hardness H, the cutting speed v, and the cutting edge radius R. The tool material data is subjected to correlation analysis to generate the tool material influence index DCY, based on the formula:

[0081]

[0082] The tool material influence index DCY is used to reflect the changing characteristics of the cutting force caused by the influence of the tool's own material. The material of the tool itself will also affect the required cutting force. The cutting edge radius R is defined as taking multiple groups of three base points on the cutting edge arc as the reference to form multiple groups of circles. The closest circle is generated by fitting through MATLAB software as the reference, and the radius of the circle is used as the cutting edge radius. The Brinell hardness of the tool is evaluated by applying a certain load to the tool, using a steel ball indenter with a specific diameter to form an indentation on the tool surface, and then experimentally measuring the diameter of the indentation to determine the hardness value. The material constant C can be obtained by querying the material constant of the corresponding tool material.

[0083] Step 6: Perform a correlation analysis on the tool material influence index DCY and the tool edge roughness influence index CYZ to generate the tool cutting force index DQZ. The tool cutting force index DQZ is used to reflect the degree of influence on the cutting force of the current tool, and compare it with the influence threshold to output the confidence level of the cutting anomaly of the tool edge.

[0084] The correlation analysis of the temperature friction coefficient WMX, the cutting edge cutting force evaluation coefficient QPX, the tool material influence index DCY and the tool edge roughness influence index CYZ is performed to generate the tool cutting force index DQZ, based on the formula:

[0085]

[0086] The temperature friction coefficient WMX, edge cutting force evaluation coefficient QPX, tool material influence index DCY and tool edge roughness influence index CYZ are comprehensively analyzed to generate the tool cutting force index DQZ. The tool cutting force index DQZ is used to reflect the degree of influence on the cutting force of the current tool. The larger the value of the tool cutting force index DQZ, the higher the degree of abnormality of the tool cutting force.

[0087] Impact Threshold =0.59, the tool cutting force index DQZ and the impact threshold For comparison, when , indicating that the confidence level of the current tool’s cutting anomaly is 95%, and the tool needs to be repaired or replaced; when , indicating that the current tool cutting abnormality confidence is 10%, and the current tool cutting force is in the normal range. The larger the value of the tool cutting force index DQZ, the higher the tool cutting abnormality confidence, and the greater the probability of abnormal tool cutting force.

[0088] The present invention also provides a cutting parameter planning device for a quadratic parabola curve cutting edge tool, which is used to execute a cutting parameter planning method for a quadratic parabola curve cutting edge tool, comprising:

[0089] Cutting edge coordinate feature module, used to establish the quadratic parabola cutting edge coordinate feature;

[0090] A range definition module is used to define the value range of the cutting edge radius R, and to perform correlation analysis to generate the value range of the quadratic parabola parameter of the quadratic parabola cutting edge coordinate feature;

[0091] Tool edge analysis module, used to perform correlation analysis on quadratic parabola edge coordinate features and generate tool edge asymmetry index;

[0092] The cutting force evaluation module is used to collect cutting data, perform correlation analysis on the cutting data and the tool edge asymmetry index, and generate the edge cutting force evaluation coefficient;

[0093] The temperature analysis module is used to collect the cutting temperature of the tool edge, analyze the cutting temperature of the tool edge, and generate the temperature friction coefficient;

[0094] The actual cutting force analysis module is used to analyze the current tool edge, generate the tool cutting force index DQZ, compare it with the impact threshold, and output the cutting anomaly confidence of the tool edge.

[0095] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0096] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0097] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0098] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A cutting parameter planning method for a quadratic parabola curve cutting edge tool, characterized in that: The specific steps include: S1. Establish a quadratic parabola cutting edge coordinate feature, define a value range of the cutting edge radius R, and perform a correlation analysis to generate a quadratic parabola parameter value range of the quadratic parabola cutting edge coordinate feature, perform a correlation analysis on the quadratic parabola cutting edge coordinate feature, and generate a tool cutting edge asymmetry index; S2, collecting cutting data, wherein the cutting data includes the strength of the cut material, the cutting area, and the cutting angle, performing correlation analysis on the cutting data and the tool edge asymmetry index, and generating an edge cutting force evaluation coefficient QPX, wherein the edge cutting force evaluation coefficient QPX is used to reflect the relationship between the cutting data and the cutting force; S3. During cutting, the cutting temperature of the tool edge is collected, and the cutting temperature of the tool edge is analyzed to generate a temperature friction coefficient WMX. The temperature friction coefficient WMX is used to reflect the influence of temperature on the friction coefficient of cutting; S4. Analyze the current tool edge and generate the edge roughness index , and further analyze to generate the tool edge roughness influence index CYZ; S5. Collect current tool material data, perform correlation analysis on the current tool material data, and generate a tool material influence index DCY. The tool material influence index DCY is used to reflect the change characteristics of the cutting force caused by the tool being affected by its own material; S6. Perform correlation analysis on the tool material influence index DCY and the tool edge roughness influence index CYZ to generate the tool cutting force index DQZ. The tool cutting force index DQZ is used to reflect the degree of influence on the cutting force of the current tool, and compare it with the influence threshold to output the confidence level of cutting anomaly of the tool edge.

2. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 1, characterized in that: When establishing the quadratic parabola edge coordinate feature, the edge is taken as the reference, the tip of the blade is the vertex, and the back face is the parabola section. The coordinate system centered on the vertex, the coordinates of any point P on the quadratic parabola are , the inflection point of the back tool face is defined as the back tool face transition point, the inflection point of the rake tool face is defined as the rake tool face transition point, A is the quadratic parabola parameter, which is a unitless constant, and the quadratic parabola deflection angle is , the rake face transition point is , the distance from the rake face transition point to the y-axis is , the transition point of the back cutting edge is , the distance from the flank transition point to the y-axis is , is the wedge angle of the cutting edge, and L is the midpoint of the wedge angle.

3. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 2, characterized in that: Define the value range of the cutting edge radius R as 0.01mm-0.1mm, and combine it with the quadratic parabola equation The vertex curvature radius of the curve is analyzed for correlation to generate the value range of the quadratic parabola parameter A, based on the following formula: .

4. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 3, characterized in that: The correlation analysis of the quadratic parabola cutting edge coordinate features is performed to generate the tool cutting edge asymmetry index RB, based on the formula: The tool edge asymmetry index RB is used to indicate the asymmetry of the tool edge. When is a symmetrical cutting edge, When is the horn edge, when Sometimes it is the edge of a waterfall; Strength of cut material , cutting area , cutting angle , and the tool edge asymmetry index RB is used for correlation analysis to generate the edge cutting force evaluation coefficient QPX, based on the formula: Among them, the cutting area is the area of ​​the material being cut, and the cutting angle It is the angle between the cutting edge and the surface of the material being cut during cutting. is the cutting edge shape factor, It is used to reflect the ratio index between the area of ​​the cutting edge and the area being cut. The cutting edge cutting force evaluation coefficient QPX is used to reflect the relationship between cutting data and cutting force.

5. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 4, characterized in that: The cutting temperature T of the tool edge is analyzed to generate the temperature friction coefficient WMX, based on the formula: The temperature friction coefficient WMX is used to reflect the influence of temperature on the friction coefficient of cutting. is the friction coefficient of the tool edge surface at room temperature, is the activation energy, which is used to represent the energy required to overcome friction. is the gas constant of the cutting environment, T is the cutting temperature of the tool edge, and the unit is Celsius.

6. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 5, characterized in that: The actual tool edge contour is used as the reference line, and the connecting line of the rake face transition point and the flank face transition point during the tool edge coordinate feature design is used as the baseline. The reference line and the baseline are placed in the coordinate system for comparison and analysis. 100 points with the same spacing are evenly set on the baseline and the reference line. The coordinates of the i-th point of the baseline are , the coordinates of the jth point of the reference line are , for the coordinates of the ith point on the baseline , coordinates of the jth point on the reference line Perform correlation analysis to generate edge roughness index , the formula based on is: Edge roughness index It is used to reflect the roughness of the tool edge during actual cutting, among which the rake face transition point The coordinates of , flank transition point The coordinates of .

7. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 6, characterized in that: Edge roughness index The analysis is performed to generate the tool edge roughness influence index CYZ, based on the formula: in, is the Brinell hardness characteristic constant of the cut material, v is the tool cutting speed, D is the tool cutting depth, and the tool edge roughness influence index CYZ is used to reflect the change characteristics of the cutting force caused by the influence of the edge roughness when the tool is cutting; The tool material data is collected, including the material constant C, the tool Brinell hardness H, the cutting speed v, and the cutting edge radius R. The tool material data is subjected to correlation analysis to generate the tool material influence index DCY, based on the formula: The tool material influence index DCY is used to reflect the changing characteristics of the cutting force caused by the influence of the tool's own material.

8. The cutting parameter planning method of a quadratic parabola curve cutting edge tool according to claim 7, characterized in that: The correlation analysis of the temperature friction coefficient WMX, the cutting edge cutting force evaluation coefficient QPX, the tool material influence index DCY and the tool edge roughness influence index CYZ is performed to generate the tool cutting force index DQZ, based on the formula: The tool cutting force index DQZ is used to reflect the degree of influence of the current tool’s cutting force; Impact Threshold =0.59, the tool cutting force index DQZ and the impact threshold For comparison, when , indicating that the confidence level of the current tool’s cutting anomaly is 95%, and the tool needs to be repaired or replaced; when , indicating that the cutting abnormality confidence of the current tool is 10%, and the current tool cutting force is within the normal range.

9. A cutting parameter planning device for a quadratic parabola curve cutting edge tool, used to execute the cutting parameter planning method for a quadratic parabola curve cutting edge tool according to claim 1, characterized in that: include: Cutting edge coordinate feature module, used to establish the quadratic parabola cutting edge coordinate feature; A range definition module is used to define the value range of the cutting edge radius R, and to perform correlation analysis to generate the value range of the quadratic parabola parameter of the quadratic parabola cutting edge coordinate feature; Tool edge analysis module, used to perform correlation analysis on quadratic parabola edge coordinate features and generate tool edge asymmetry index; The cutting force evaluation module is used to collect cutting data, perform correlation analysis on the cutting data and the tool edge asymmetry index, and generate the edge cutting force evaluation coefficient; The temperature analysis module is used to collect the cutting temperature of the tool edge, analyze the cutting temperature of the tool edge, and generate the temperature friction coefficient; The actual cutting force analysis module is used to analyze the current tool edge, generate the tool cutting force index DQZ, compare it with the impact threshold, and output the cutting anomaly confidence of the tool edge.

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