Metal surface burn detection method and device

Abstract

The invention relates to a metal surface burn detection method and device. The metal surface burn detection method comprises the following steps: acquiring surface characteristic parameters of a to-be-detected cutting workpiece; the surface characteristic parameters of the to-be-detected cutting workpiece are compared with all preset burn grading intervals, the burn degree of the to-be-detected cutting workpiece is determined, all the burn grading intervals correspond to the burn degree of the cutting workpiece in a one-to-one mode, and therefore the burn degree of the to-be-detected cutting workpiece can be determined while the method is suitable for detection of different metal materials. And the detection consistency and accuracy are improved.

Description

Technical Field

[0001] The present application relates to the technical field of metal burn detection, and in particular to a method and device for detecting metal surface burns. Background Art

[0002] Materials such as titanium alloys and nickel-based high-temperature alloys are widely used in the manufacture of parts in the aerospace field, which have high requirements for processing quality. However, the thermal conductivity of the materials is poor. The heat accumulation during the processing leads to high cutting temperatures, which is very likely to cause surface burns, which in turn leads to tiny cracks, pores or local stress concentration, significantly reducing the hardness, strength, toughness and other mechanical properties of the materials, accelerating the aging and fatigue failure of the materials, and having a great impact on the structural integrity. Therefore, metal burn detection plays an important role in ensuring the reliability, safety and long life of metal materials. Accurate and effective detection of metal surface burns is crucial to the precision processing of parts.

[0003] At present, the detection of burns in metal materials mainly adopts visual inspection, pickling, magnetic particle inspection or indirect sensor inspection. However, the above detection methods have problems such as inaccurate results, insensitivity to minor defects, damage to materials, limited scope of use, etc. In addition, different metal materials have different properties and cannot be detected with the same detection equipment. Summary of the invention

[0004] Based on this, the present application provides a metal surface burn detection method and device, which can improve the detection consistency and accuracy while being applicable to the detection of different metal materials.

[0005] The embodiment of the first aspect of the present application provides a metal surface burn detection method, comprising:

[0006] Obtaining surface characteristic parameters of the cutting workpiece to be measured;

[0007] The surface characteristic parameters of the cutting workpiece to be measured are compared with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be measured, and each burn classification interval corresponds to the burn degree of the cutting workpiece.

[0008] In one embodiment, the step of obtaining the surface characteristic parameters of the cutting workpiece to be measured includes:

[0009] Acquiring the color, morphology and roughness of the machined surface of the cutting workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface;

[0010] Acquiring the sub-surface morphology of the cutting workpiece to be measured, and acquiring the thickness of the sub-surface white layer in the sub-surface morphology;

[0011] The compound type of the machined surface of the cutting workpiece to be measured is obtained.

[0012] In one embodiment, each burnt interval includes an unburnt interval range and a burnt interval range, wherein the unburnt interval range includes a first type of color, a first roughness range, a first thickness range, and a first type of compound; and the burnt interval range includes a second type of color, a second roughness range, a second thickness range, and a second type of compound;

[0013] The step of comparing the surface characteristic parameters of the cutting workpiece to be tested with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be tested comprises:

[0014] If the color, roughness, sub-white layer thickness and compound type of the surface characteristic parameters of the cutting workpiece to be tested all fall within the non-burned interval, it indicates that the cutting workpiece to be tested has zero degree of burn, that is, no burn occurs;

[0015] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, sub-white layer thickness, and compound type, falls within the burn interval, it indicates that the cutting workpiece to be tested is burned.

[0016] In one embodiment, the burn interval range includes a first interval range and a second interval range; the first interval range includes a third type of color, a third roughness range, a third thickness range and a third type of compound; the second interval range includes a fourth type of color, a fourth roughness range, a fourth thickness range and a fourth type of compound;

[0017] The step of indicating that the cutting workpiece to be tested is burned if at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, thickness of sub-white layer, and type of compound, falls within the burn interval range comprises:

[0018] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, sub-white layer thickness, and compound type, falls within the first interval, and none of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, sub-white layer thickness, and compound type, falls within the second interval, it indicates that the cutting workpiece to be tested has a first degree of burn;

[0019] If at least one of the surface characteristic parameters of the cut workpiece to be tested, namely, color, roughness, sub-white layer thickness and compound type, falls within the second interval, it indicates that the cut workpiece to be tested has a second degree of burn, which is more severe than the first degree of burn.

[0020] In one embodiment, the step of obtaining the color, morphology and roughness of the machined surface of the cutting workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface, comprises:

[0021] An optical detection method is used to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested.

[0022] In one embodiment, the step of using an optical detection method to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested includes:

[0023] Using an optical microscope to obtain the color of the machined surface of the cutting workpiece to be measured;

[0024] A white light interferometer is used to obtain the topography and roughness of the machined surface of the cutting workpiece to be measured.

[0025] In one embodiment, the step of obtaining the sub-surface morphology of the cutting workpiece to be measured and obtaining the thickness of the sub-surface white layer in the sub-surface morphology includes:

[0026] A metallographic microscope is used to obtain the sub-surface morphology of the cut workpiece to be measured, and the thickness of the sub-surface white layer in the sub-surface morphology is obtained.

[0027] In one embodiment, the step of obtaining the compound type of the machined surface of the cutting workpiece to be measured comprises:

[0028] A surface analysis method is used to obtain the compound type of the machined surface of the cutting workpiece to be tested.

[0029] In one embodiment, the step of obtaining the compound type of the machined surface of the cutting workpiece to be tested by using a surface analysis method comprises:

[0030] The machined surface of the cutting workpiece to be tested is analyzed by using an X-ray photoelectron spectrometer to obtain a fine element spectrum, and the compound type of the machined surface of the cutting workpiece to be tested is determined according to the fine element spectrum.

[0031] The second aspect of the present application provides a metal surface burn detection device, comprising:

[0032] A surface feature parameter acquisition mechanism, used to acquire the surface feature parameters of the cutting workpiece to be measured;

[0033] The processing mechanism is connected to the surface characteristic parameter acquisition mechanism, and is used to compare the surface characteristic parameters of the cutting workpiece to be measured with a preset non-burned interval range and a preset burned interval range, and determine whether the cutting workpiece to be measured is burned.

[0034] The above-mentioned metal surface burn detection method obtains the surface characteristic parameters of the cutting workpiece to be tested; compares the surface characteristic parameters of the cutting workpiece to be tested with the pre-set burn classification intervals, so as to determine the burn degree of the cutting workpiece to be tested. In this way, on the one hand, the burn detection of the cutting workpiece to be tested can be not limited by the material characteristics of the cutting workpiece to be tested, that is, the present application can be applicable to surface burn detection of different metal materials; on the other hand, by comparing the surface characteristic parameters of the cutting workpiece to be tested with the pre-set burn classification intervals, the burn detection of the cutting workpiece to be tested can be realized without damaging the surface of the cutting workpiece to be tested, thereby improving the consistency and accuracy of the detection. In summary, the present application can improve the consistency and accuracy of the detection while being applicable to the detection of different metal materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flow chart of a metal surface burn detection method provided in an embodiment of the present application.

[0036] Figure 2 A color diagram of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when no burn occurs.

[0037] Figure 3 A color diagram of the machined surface of a titanium metal cutting workpiece provided by an embodiment of the present application when a first degree of burn occurs.

[0038] Figure 4 A color diagram of the machined surface of a titanium metal cutting workpiece when second degree burn occurs, provided by an embodiment of the present application.

[0039] Figure 5 This is a topographical diagram of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when no burn occurs.

[0040] Figure 6 This is a topographical diagram of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when a first degree of burn occurs.

[0041] Figure 7 A topographical diagram of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when second degree burn occurs.

[0042] Figure 8 A schematic diagram of the sub-surface structure of a titanium metal cutting workpiece provided in an embodiment of the present application when no burn occurs.

[0043] Fig. 9 A schematic diagram of the sub-surface structure of a titanium metal cutting workpiece when a first degree of burn occurs according to an embodiment of the present application.

[0044] Fig.10 A schematic diagram of the sub-surface structure of a titanium metal cutting workpiece when a second degree burn occurs, provided in one embodiment of the present application.

[0045] Fig.11 This is a detailed element spectrum of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when no burn occurs.

[0046] Fig.12 This is a detailed element spectrum of a titanium metal cutting workpiece when burns occur, provided in one embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0048] In the description of the present application, it should be understood that if the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. appear, the orientation or position relationship indicated by these terms is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0049] In addition, if the terms "first" or "second" appear, these terms are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, if the term "plurality" appears, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0050] In this application, unless otherwise clearly specified and limited, if the terms "installed", "connected", "connected", "fixed" and the like appear, these terms should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integrated connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0051] In the present application, unless otherwise clearly specified and limited, if there is a description that a first feature is "above" or "below" a second feature, etc., or similar descriptions appear, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature being "above", "above" and "above" the second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. The first feature being "below", "below" and "below" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0052] It should be noted that if an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or there may be a central element. If an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. If any, the terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in this application are for illustrative purposes only and do not represent the only implementation method.

[0053] See also Figure 1 In a first aspect, an embodiment of the present application provides a method for detecting burns on a metal surface, comprising:

[0054] S10, obtaining surface characteristic parameters of the cutting workpiece to be measured;

[0055] S20, comparing the surface characteristic parameters of the cutting workpiece to be measured with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be measured, wherein each burn classification interval corresponds to the burn degree of the cutting workpiece.

[0056] The metal surface burn detection method provided in the embodiment of the present application obtains the surface characteristic parameters of the cutting workpiece to be tested; compares the surface characteristic parameters of the cutting workpiece to be tested with each pre-set burn grading interval, so as to determine the burn degree of the cutting workpiece to be tested. In this way, on the one hand, the burn detection of the cutting workpiece to be tested can be not limited by the material characteristics of the cutting workpiece to be tested, that is, the present application can be applicable to surface burn detection of different metal materials; on the other hand, by comparing the surface characteristic parameters of the cutting workpiece to be tested with each pre-set burn grading interval, the burn detection of the cutting workpiece to be tested can be realized without damaging the surface of the cutting workpiece to be tested, thereby improving the consistency and accuracy of the detection. In summary, the present application can improve the consistency and accuracy of the detection while being applicable to the detection of different metal materials.

[0057] It should be noted that the cutting workpiece to be tested refers to a metal workpiece after cutting, and the material of the metal workpiece includes metal materials such as titanium and nickel. Cutting can be milling, turning or grinding. The cutting parameters can be set according to actual needs. If it is necessary to detect the burning condition of the cutting workpiece under different cutting parameters, the surface characteristic parameters of the cutting workpiece under different cutting parameters can be obtained, and the surface characteristic parameters of the cutting workpiece to be tested are compared with the pre-set burn classification intervals to determine the burning degree of the cutting workpiece to be tested under different cutting parameters.

[0058] In one embodiment, S10, obtaining surface characteristic parameters of the cutting workpiece to be measured, specifically includes:

[0059] Obtaining the color, morphology and roughness of the machined surface of the cutting workpiece to be tested, wherein the morphology includes pits and / or adhesions on the surface;

[0060] Obtaining the sub-surface morphology of the cutting workpiece to be measured, and obtaining the thickness of the sub-surface white layer in the sub-surface morphology;

[0061] Obtain the compound type of the machined surface of the cutting workpiece to be measured.

[0062] When the cutting workpiece to be tested is burned, some of the surface characteristic parameters may be able to characterize that the cutting workpiece to be tested is burned, while other parameters still characterize that the cutting workpiece to be tested is not burned. For example, the color of the machined surface of the cutting workpiece to be tested characterizes that the cutting workpiece to be tested is not burned, and the roughness of the machined surface of the cutting workpiece to be tested characterizes that the cutting workpiece to be tested is burned. In this case, if only the color of the machined surface of the cutting workpiece to be tested is used to determine the degree of burn of the cutting workpiece to be tested, it is easy to make a misjudgment. In this embodiment, by obtaining the color, morphology, roughness, sub-surface white layer thickness and compound type of the machined surface of the cutting workpiece to be tested, combining multiple parameters to determine the burn condition of the cutting workpiece to be tested, the consistency and accuracy of metal surface burn detection can be improved to avoid misjudgment.

[0063] It can be understood that the thickness of the subsurface white layer may be an average value of the thickness of the subsurface white layer at various locations of the cut workpiece to be tested.

[0064] In one embodiment, each burnt interval includes an unburnt interval range and a burnt interval range, the unburnt interval range includes a first type of color, a first roughness range, a first thickness range and a first type of compound; the burnt interval range includes a second type of color, a second roughness range, a second thickness range and a second type of compound;

[0065] S20, comparing the surface characteristic parameters of the cutting workpiece to be tested with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be tested, specifically including:

[0066] If the color, roughness, subsurface white layer thickness and compound type of the surface characteristic parameters of the cutting workpiece to be tested all fall within the non-burned interval, it indicates that the cutting workpiece to be tested has zero degree of burn, that is, no burn occurs;

[0067] That is, if the color of the cutting workpiece to be tested is the same as the first color, the roughness falls into the first roughness range, the subsurface white layer thickness falls into the first thickness range, and the compound type falls into the first compound, it indicates that the cutting workpiece to be tested is not burned.

[0068] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness and compound type, falls within the burn interval, it indicates that the cutting workpiece to be tested is burned.

[0069] That is to say, if some of the surface characteristic parameters of the cutting workpiece to be tested, such as color, roughness, sub-surface white layer thickness and compound type, fall into the non-burned interval range, and the other parameters fall into the burned interval range, or if all of the surface characteristic parameters of the cutting workpiece to be tested, such as color, roughness, sub-surface white layer thickness and compound type, fall into the burned interval range, it indicates that the cutting workpiece to be tested is burned.

[0070] In this embodiment, by utilizing that all the surface characteristic parameters of the cutting workpiece to be tested fall within the unsintered interval, or at least one of the surface characteristic parameters of the cutting workpiece to be tested falls within the burned interval, it is possible to conveniently and quickly determine whether the cutting workpiece to be tested is burned, thereby improving the accuracy of metal surface burn detection.

[0071] It should be noted that "part of the surface characteristic parameters of the cutting workpiece to be tested, such as color, roughness, sub-surface white layer thickness and compound type, fall within the unburned interval, and the other part of the parameters fall within the burned interval" can be understood as: part of the surface characteristic parameters of the cutting workpiece to be tested, such as color, roughness, sub-surface white layer thickness and compound type, fall within the corresponding parameter range within the unburned interval, and the other part falls within the corresponding parameter range within the burned interval. For example, the color of the cutting workpiece to be tested is the same as the first color, the roughness falls within the first roughness range, the compound type falls within the first compound, and the white layer thickness falls within the second thickness range.

[0072] “The color, roughness, sub-surface white layer thickness and compound type of the surface characteristic parameters of the cutting workpiece to be tested all fall within the burn interval range” means that the color of the cutting workpiece to be tested is the same as the second category color, the roughness falls within the second roughness range, the white layer thickness falls within the second thickness range; and the compound type falls within the second category compound.

[0073] In one embodiment, the burn interval range includes a first interval range and a second interval range; the first interval range includes a third type of color, a third roughness range, a third thickness range and a third type of compound; the second interval range includes a fourth type of color, a fourth roughness range, a fourth thickness range and a fourth type of compound;

[0074] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the burn interval, the step of indicating that the cutting workpiece to be tested has been burned comprises:

[0075] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the first interval range, and none of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the second interval range, it indicates that the cutting workpiece to be tested has a first degree of burn;

[0076] Specifically, if part of the surface characteristic parameters of the cutting workpiece to be tested, including color, roughness, sub-surface white layer thickness and compound type, fall within the non-burned interval range, and another part falls within the first interval range, or if the color, roughness, sub-surface white layer thickness and compound type of the surface characteristic parameters of the cutting workpiece to be tested all fall within the first interval range, then it indicates that the cutting workpiece to be tested has suffered a first degree of burn.

[0077] If at least one of the surface characteristic parameters of the cutting workpiece to be tested, including color, roughness, subsurface white layer thickness and compound type, falls within the second interval range, it indicates that the cutting workpiece to be tested has a second degree of burn, which is more serious than the first degree of burn.

[0078] That is, as long as at least one of the color, roughness, subsurface white layer thickness, and compound type of the cutting workpiece to be tested falls within the corresponding parameter range in the second interval, it can be determined that the cutting workpiece to be tested has the second degree of burn.

[0079] In this embodiment, by dividing the burn interval range into a first interval range and a second interval range, using the fact that at least one of the surface characteristic parameters of the cutting workpiece to be measured falls into the first interval range, and none of the surface characteristic parameters of the cutting workpiece to be measured falls into the second interval range, or at least one of the surface characteristic parameters of the cutting workpiece to be measured falls into the second interval range, it is convenient to determine whether the cutting workpiece to be measured has a first degree of burn or a second degree of burn, and then the degree of burn of the cutting workpiece to be measured can be accurately determined.

[0080] It should be noted that first degree burns may be mild burns, and second degree burns may be severe burns.

[0081] In one embodiment, the step of obtaining the color, morphology and roughness of the machined surface of the cutting workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface, comprises:

[0082] Optical detection methods are used to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested.

[0083] In this way, the three parameters of color, morphology and roughness of the machined surface of the cutting workpiece to be tested can be obtained without contacting the cutting workpiece to be tested, so that the degree of burn of the cutting workpiece to be tested can be determined by using the color, morphology and roughness of the machined surface of the cutting workpiece to be tested. Therefore, the burn detection of the cutting workpiece to be tested can be realized without damaging the surface of the cutting workpiece to be tested, thereby improving the consistency and accuracy of the detection.

[0084] In a specific embodiment, the step of using an optical detection method to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested includes:

[0085] An optical microscope is used to obtain the color of the machined surface of the cutting workpiece to be measured;

[0086] A white light interferometer is used to obtain the morphology and roughness of the machined surface of the workpiece to be tested.

[0087] In one embodiment, the step of obtaining the sub-surface morphology of the cutting workpiece to be measured and obtaining the thickness of the sub-surface white layer in the sub-surface morphology includes:

[0088] A metallographic microscope is used to obtain the sub-surface morphology of the cut workpiece to be tested, and the thickness of the sub-surface white layer in the sub-surface morphology is obtained.

[0089] In this way, the sub-surface white layer thickness of the cutting workpiece to be measured can be obtained without contacting the cutting workpiece to be measured, so that the degree of burn of the cutting workpiece to be measured can be determined by using the sub-surface white layer thickness of the cutting workpiece to be measured, which is conducive to the burn detection of the cutting workpiece to be measured without damaging the surface of the cutting workpiece to be measured, thereby improving the consistency and accuracy of the detection.

[0090] In one embodiment, the step of obtaining the compound type of the machined surface of the cutting workpiece to be tested includes:

[0091] The surface analysis method is used to obtain the compound type of the machined surface of the cutting workpiece to be tested.

[0092] In a specific embodiment, the step of obtaining the compound type of the machined surface of the cutting workpiece to be tested by using a surface analysis method includes:

[0093] An X-ray photoelectron spectrometer is used to analyze the machined surface of the cutting workpiece to be tested, and a fine element spectrum is obtained. The compound type of the machined surface of the cutting workpiece to be tested is determined according to the fine element spectrum.

[0094] In this way, the compound type of the cutting workpiece to be tested can be obtained without contacting the cutting workpiece to be tested, so as to determine the degree of burn of the cutting workpiece to be tested using the compound type of the machined surface of the cutting workpiece to be tested, which is beneficial for realizing burn detection of the cutting workpiece to be tested without damaging the surface of the cutting workpiece to be tested, thereby improving the consistency and accuracy of the detection.

[0095] The metal surface burn detection method of the embodiment of the present application is described below with reference to specific examples.

[0096] Taking titanium metal cutting workpiece as an example, the metal surface burn detection method provided in the embodiment of the present application is described:

[0097] Metal surface burn detection methods include:

[0098] 1) Obtain the surface characteristic parameters of titanium metal cutting workpieces;

[0099] Surface characteristic parameters include color, morphology, roughness, and compound type of the machined surface, as well as the thickness of the subsurface white layer;

[0100] Specifically, an optical microscope is used to obtain the color of the machined surface of a titanium metal cutting workpiece;

[0101] White light interferometer is used to obtain the morphology and roughness of the machined surface of titanium metal cutting workpieces. The morphology includes pits and adhesions on the machined surface.

[0102] Use metallographic microscope to obtain the subsurface morphology of titanium metal cutting parts, such as the thickness of the subsurface white layer;

[0103] The machined surface of the titanium metal cutting workpiece is analyzed by using an X-ray photoelectron spectrometer to obtain a fine element spectrum, and the compound type of the machined surface of the titanium metal cutting workpiece is determined according to the fine element spectrum.

[0104] 2) Compare the surface characteristic parameters of the titanium metal cutting workpiece with the pre-set burn classification intervals to determine the burn degree of the cutting workpiece to be tested, and each burn classification interval corresponds to the burn degree of the cutting workpiece one by one.

[0105] Specifically, each burn classification interval includes an unburned interval range and a burned interval range, and the burned interval range includes a first interval range and a second interval range; wherein, the unburned interval range includes a silvery white processed surface (see 2), the processed surface has no obvious adhesion and the roughness range is 0 to 0.8 um (see 5), the average thickness of the sub-surface white layer is 0 to 5 um (see 8), and the compound type includes titanium oxide (see 11);

[0106] The first interval includes a yellow-brown processed surface (see 3), with adhesion on the processed surface and a roughness range of 0.8um to 1.6um (see 6), an average thickness of the subsurface white layer of 5 to 15um (see 9), and compound types including titanium nitride (see 12); the second interval includes a purple-black processed surface (see 4), with obvious adhesion on the processed surface and a roughness higher than 1.6um (see Figure 7 As shown), the average thickness of the subsurface white layer is higher than 15um (see 10), and the compound types include titanium carbide (see 12).

[0107] If the surface of the titanium metal cutting workpiece is silvery white, the roughness falls within 0-0.8um, the thickness of the subsurface white layer falls within 0-5um, and the compound type includes titanium oxide, it indicates that the titanium metal cutting workpiece has not been burned;

[0108] If at least one of the color, morphology, roughness and compound type of the titanium metal cutting workpiece falls within the first interval range, and the color, morphology, roughness and compound type of the titanium metal cutting workpiece do not fall within the second interval range, it indicates that the titanium metal cutting workpiece has a first degree burn; the first degree burn can be understood as a mild burn;

[0109] If at least one of the color, morphology, roughness and compound type of the titanium metal cutting workpiece falls within the second interval range, it indicates that the titanium metal cutting workpiece has a second degree burn; the second degree burn can be understood as a severe burn.

[0110] In a second aspect, an embodiment of the present application provides a metal surface burn detection device, comprising:

[0111] A surface feature parameter acquisition mechanism, used to acquire the surface feature parameters of the cutting workpiece to be measured;

[0112] The processing mechanism is connected to the surface feature parameter acquisition mechanism, and is used to compare the surface feature parameters of the cutting workpiece to be measured with the pre-set burn classification intervals to determine the burn degree of the cutting workpiece to be measured, and each burn classification interval corresponds to the burn degree of the cutting workpiece.

[0113] In one embodiment, the surface feature parameter acquisition mechanism includes an optical microscope, a white light interferometer, a metallographic microscope, and an X-ray photoelectron spectrometer.

[0114] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0115] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A method for detecting burns on a metal surface, characterized in that: include: Obtaining surface characteristic parameters of the cutting workpiece to be measured; The surface characteristic parameters of the cutting workpiece to be measured are compared with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be measured, and each burn classification interval corresponds to the burn degree of the cutting workpiece.

2. The metal surface burn detection method according to claim 1, characterized in that: The step of obtaining the surface characteristic parameters of the cutting workpiece to be measured comprises: Acquiring the color, morphology and roughness of the machined surface of the cutting workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface; Acquiring the sub-surface morphology of the cutting workpiece to be measured, and acquiring the thickness of the sub-surface white layer in the sub-surface morphology; The compound type of the machined surface of the cutting workpiece to be measured is obtained.

3. The metal surface burn detection method according to claim 2, characterized in that: Each burnt interval includes an unburnt interval range and a burnt interval range, wherein the unburnt interval range includes a first type of color, a first roughness range, a first thickness range and a first type of compound; and the burnt interval range includes a second type of color, a second roughness range, a second thickness range and a second type of compound; The step of comparing the surface characteristic parameters of the cutting workpiece to be tested with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be tested comprises: If the color, roughness, subsurface white layer thickness and compound type of the surface characteristic parameters of the cutting workpiece to be tested all fall within the non-burned interval, it indicates that the cutting workpiece to be tested has zero degree of burn, that is, no burn occurs; If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the burn interval, it indicates that the cutting workpiece to be tested is burned.

4. The metal surface burn detection method according to claim 3, characterized in that: The burn interval range includes a first interval range and a second interval range; the first interval range includes a third type of color, a third roughness range, a third thickness range and a third type of compound; the second interval range includes a fourth type of color, a fourth roughness range, a fourth thickness range and a fourth type of compound; The step of indicating that the cutting workpiece to be tested has been burned if at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the burn interval range comprises: If at least one of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the first interval, and none of the surface characteristic parameters of the cutting workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the second interval, it indicates that the cutting workpiece to be tested has a first degree of burn; If at least one of the surface characteristic parameters of the cut workpiece to be tested, namely, color, roughness, subsurface white layer thickness and compound type, falls within the second interval, it indicates that the cut workpiece to be tested has a second degree of burn, which is more severe than the first degree of burn.

5. The metal surface burn detection method according to claim 2, characterized in that: The step of obtaining the color, morphology and roughness of the machined surface of the cutting workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface, comprises: An optical detection method is used to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested.

6. The metal surface burn detection method according to claim 5, characterized in that: The step of using an optical detection method to obtain the color, morphology and roughness of the machined surface of the cutting workpiece to be tested comprises: Using an optical microscope to obtain the color of the machined surface of the cutting workpiece to be measured; A white light interferometer is used to obtain the topography and roughness of the machined surface of the cutting workpiece to be measured.

7. The metal surface burn detection method according to claim 2, characterized in that: The step of obtaining the sub-surface morphology of the cutting workpiece to be measured and obtaining the thickness of the sub-surface white layer in the sub-surface morphology comprises: A metallographic microscope is used to obtain the sub-surface morphology of the cut workpiece to be measured, and the thickness of the sub-surface white layer in the sub-surface morphology is obtained.

8. The metal surface burn detection method according to claim 2, characterized in that: The step of obtaining the compound type of the machined surface of the cutting workpiece to be measured comprises: A surface analysis method is used to obtain the compound type of the machined surface of the cutting workpiece to be tested.

9. The metal surface burn detection method according to claim 8, characterized in that: The step of using a surface analysis method to obtain the compound type of the machined surface of the cutting workpiece to be tested comprises: The machined surface of the cutting workpiece to be tested is analyzed by using an X-ray photoelectron spectrometer to obtain a fine element spectrum, and the compound type of the machined surface of the cutting workpiece to be tested is determined according to the fine element spectrum.

10. A metal surface burn detection device, characterized in that: include: A surface feature parameter acquisition mechanism, used to acquire the surface feature parameters of the cutting workpiece to be measured; The processing mechanism is connected to the surface characteristic parameter acquisition mechanism, and is used to compare the surface characteristic parameters of the cutting workpiece to be measured with a preset non-burned interval range and a preset burned interval range, and determine whether the cutting workpiece to be measured is burned.

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