Method and device for detecting burn on metal surface

Abstract

The application 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; comparing the surface characteristic parameters of the to-be-detected cutting workpiece with preset burn sub-intervals, and determining the burn degree of the to-be-detected cutting workpiece, wherein each burn sub-interval corresponds to the burn degree of the cutting workpiece, so that the detection of different metal materials can be applied, and the consistency and accuracy of detection can be 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 burns on a metal surface. Background Art

[0002] Materials such as titanium alloys and nickel-based superalloys are widely used in the manufacture of aerospace components, which place high demands on machining quality. However, these materials have poor thermal conductivity, and heat accumulation during machining leads to high cutting temperatures, which can easily cause surface burns. This, in turn, can lead to microcracks, pores, or localized stress concentrations, significantly reducing mechanical properties such as hardness, strength, and toughness, accelerating aging and fatigue failure, and significantly impacting structural integrity. Therefore, metal burn detection plays a vital role in ensuring the reliability, safety, and longevity of metal materials. Accurately and effectively detecting metal surface burns is crucial for the precision machining of components.

[0003] Currently, burn detection in metal materials mainly relies on visual inspection, pickling, magnetic particle testing, or indirect sensor detection. However, these methods suffer from inaccurate results, insensitivity to minor defects, damage to the material, and limited scope of use. Furthermore, different metal materials have different properties and cannot be tested using the same testing equipment. Summary of the Invention

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

[0005] An embodiment of the first aspect of the present application provides a method for detecting burns on a metal surface, 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 grade intervals to determine the burn degree of the cutting workpiece to be measured, and each burn grade 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 workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface;

[0010] Obtaining a subsurface morphology of the cut workpiece to be measured, and obtaining a thickness of a subsurface white layer in the subsurface morphology;

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

[0012] In one embodiment, each burn interval includes an unburned interval range and a burned interval range, wherein the unburned interval range includes a first color type, a first roughness range, a first thickness range, and a first compound type; and the burned interval range includes a second color type, a second roughness range, a second thickness range, and a second compound type.

[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 includes:

[0014] If the color, roughness, sub-white layer thickness, and compound type of the surface characteristic parameters of the machined part to be tested all fall within the non-burned range, it indicates that the machined part 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 range includes a first range and a second range; the first range includes a third color, a third roughness range, a third thickness range, and a third compound; the second range includes a fourth color, a fourth roughness range, a fourth thickness range, and a fourth compound;

[0017] 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, thickness of a sub-white layer, and type of compound, falls within a burn interval includes:

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

[0019] 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 second interval, it indicates that the cutting workpiece to be tested has suffered 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 measured.

[0022] In one embodiment, the step of obtaining the color, morphology and roughness of the machined surface of the cutting workpiece to be measured by an optical detection method 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 workpiece to be measured.

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

[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 includes:

[0030] An X-ray photoelectron spectrometer is used to analyze the machined surface of the cutting workpiece to be tested to obtain a fine element spectrum, and the compound type of the machined surface of the cutting workpiece to be tested is determined based on the fine element spectrum.

[0031] An embodiment of 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 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 the preset non-burned interval range and the 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, thereby determining 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 is not limited by the material properties of the cutting workpiece to be tested, that is, the present application can be applied 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 achieved 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 Flowchart of a metal surface burn detection method provided in an embodiment of the present application.

[0036] Figure 2 This is 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 This is a color diagram of the machined surface of a titanium metal cutting workpiece provided by an embodiment of the present application when first degree burn occurs.

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

[0039] Figure 5 This is a topography 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 topography diagram of the machined surface of a titanium metal cutting workpiece provided in an embodiment of the present application when first degree burn occurs.

[0041] Figure 7 This is a topography 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 This is 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] Figure 9 A schematic diagram of the sub-surface structure of a titanium metal cutting workpiece when first degree burn occurs, provided by one embodiment of the present application.

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

[0045] Figure 11 This is a fine 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] Figure 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] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. The following description sets forth many specific details to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0048] In the description of this 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 this 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 this application.

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

[0050] In this application, unless otherwise specified or limited, the terms "mounted," "connected," "connected," "fixed," etc., should be interpreted broadly. For example, these terms may refer to fixed connections, removable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediary; and internal communication between two components or interaction between two components, unless otherwise specified. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances.

[0051] In this application, unless otherwise expressly specified or limited, if a first feature is described as being "above" or "below" a second feature, or similar descriptions, this 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. Furthermore, when a first feature is described as being "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is described as being "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower 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 an intermediate 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 an intermediate element. 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 embodiment.

[0053] See 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 tested with the preset burn classification intervals to determine the burn degree of the cutting workpiece to be tested, wherein the burn classification intervals correspond 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 classification interval, thereby determining 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 is not limited by the material properties of the cutting workpiece to be tested, that is, the present application can be applied 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 classification interval, the burn detection of the cutting workpiece to be tested can be achieved without damaging the surface of the cutting workpiece to be tested, thereby improving the consistency and accuracy of detection. In summary, the present application can improve the consistency and accuracy of 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 that has been cut, and the material of the metal workpiece includes metal materials such as titanium and nickel. The cutting process can be milling, turning or grinding. The cutting parameters can be set according to actual needs. If it is necessary to detect the burn 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 can be compared with the pre-set burn classification intervals to determine the burn 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 workpiece to be tested, the morphology including pits and / or adhesions on the surface;

[0060] Obtaining the subsurface morphology of the cut workpiece to be measured, and obtaining the thickness of the subsurface white layer in the subsurface morphology;

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

[0062] When a workpiece burns, some of the surface characteristic parameters may indicate that the workpiece is burned, while other parameters may indicate that the workpiece is not burned. For example, the color of the machined surface of the workpiece indicates that the workpiece is not burned, while the roughness of the machined surface indicates that the workpiece is burned. In this case, if only the color of the machined surface of the workpiece is used to determine the degree of burn, misjudgment is likely to occur. In this embodiment, the burn condition of the workpiece is determined by combining the color, morphology, roughness, subsurface white layer thickness, and compound type of the machined surface of the workpiece. This improves the consistency and accuracy of metal surface burn detection and avoids 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 measured.

[0064] In one embodiment, each burn classification range includes an unburned range and a burned range, the unburned range includes a first color, a first roughness range, a first thickness range, and a first compound; the burned range includes a second color, a second roughness range, a second thickness range, and a second compound;

[0065] S20, comparing the surface characteristic parameters of the cutting workpiece to be tested with the pre-set 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 range, 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 type of color, the roughness falls within the first roughness range, the thickness of the subsurface white layer falls within the first thickness range, and the compound type falls within the first type of 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 within the non-burned range, and the other parameters fall within the burned 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 within the burned range, it indicates that the cutting workpiece to be tested is burned.

[0070] In this embodiment, by utilizing the fact that all the surface characteristic parameters of the cutting workpiece to be tested fall within the unsintered range, or at least one of the surface characteristic parameters of the cutting workpiece to be tested falls within the burned range, 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, including color, roughness, sub-surface white layer thickness and compound type, fall within the unburned interval range, and the other part of the parameters fall within the burned interval range" can be understood as: 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 corresponding parameter range within the unburned interval range, and the other part falls within the corresponding parameter range within the burned interval range. 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, subsurface 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 range includes a first range and a second range; the first range includes a third color, a third roughness range, a third thickness range, and a third compound; the second range includes a fourth color, a fourth roughness range, a fourth thickness range, and a fourth 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 a 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 machined workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within a first interval, and none of the surface characteristic parameters of the machined workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within a second interval, it indicates that the machined workpiece to be tested has suffered 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, falls within the non-burned interval range, and another part falls within the first interval range, or if all 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 first interval range, 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, namely, color, roughness, subsurface white layer thickness, and compound type, falls within a second interval, it indicates that the cutting workpiece to be tested has suffered a second degree of burn, which is more severe 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 falls within the corresponding parameter range in the second interval, it can be determined that the cutting workpiece has suffered 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, it is convenient to determine whether the cutting workpiece to be tested has a first degree burn or a second degree burn, and further accurately determine the burn degree of the cutting workpiece to be tested, by using the fact that at least one of the surface characteristic parameters of the cutting workpiece to be tested falls within the first interval range and none of the surface characteristic parameters of the cutting workpiece to be tested falls within the second interval range, or at least one of the surface characteristic parameters of the cutting workpiece to be tested falls within the second interval range.

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

[0081] In one embodiment, the step of obtaining the color, morphology, and roughness of the machined surface of the 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 the 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 measured 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 topography and roughness of the machined surface of the workpiece to be measured.

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

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

[0089] In this way, the thickness of the sub-surface white layer 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 thickness of the sub-surface white layer 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 measured 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 based on 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 that the degree of burn of the cutting workpiece to be tested can be determined by using the compound type of the machined surface of the cutting workpiece to be tested, which is conducive to 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 workpieces 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) Obtaining surface characteristic parameters of titanium metal cutting workpieces;

[0099] Surface characteristic parameters include the 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 interferometry 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 surface of the titanium metal cutting workpiece is analyzed by X-ray photoelectron spectrometer to obtain a fine element spectrum, and the compound type of the surface of the titanium metal cutting workpiece is determined according to the fine element spectrum.

[0104] 2) Comparing 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.

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

[0106] The first range includes the yellow-brown machined surface (see 3), the machined surface has adhesion and the roughness range is 0.8um to 1.6um (see 6), the average thickness of the subsurface white layer is 5 to 15um (see 9), and the compound type includes titanium nitride (see 12); the second range includes the purple-black machined surface (see 4), the machined surface has obvious adhesion and the roughness is higher than 1.6um (see Figure 7 As shown in Figure 10), the average thickness of the subsurface white layer is higher than 15um (see Figure 10), and the compound types include titanium carbide (see Figure 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, and none of the color, morphology, roughness, and compound type of the titanium metal cutting workpiece falls within the second interval, it indicates that the titanium metal cutting workpiece has suffered a first degree burn; a 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 suffered 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 surface feature parameters of the cutting workpiece to be measured;

[0112] The processing mechanism is connected to the surface feature parameter acquisition mechanism. The processing mechanism 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. 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-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned 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 merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for detecting burns on metal surfaces, characterized in that: include: Obtaining surface characteristic parameters of the cutting workpiece to be measured; Comparing the surface characteristic parameters of the cutting workpiece to be tested with each pre-set burn grade interval to determine the burn degree of the cutting workpiece to be tested, wherein each burn grade interval corresponds to the burn degree of the cutting workpiece; The step of obtaining the surface characteristic parameters of the cutting workpiece to be measured includes: Acquiring the color, morphology, and roughness of the machined surface of the workpiece to be measured, wherein the morphology includes pits and / or adhesions on the surface; Obtaining a subsurface morphology of the cut workpiece to be measured, and obtaining a thickness of a subsurface white layer in the subsurface morphology; Obtaining the compound type of the machined surface of the cutting workpiece to be measured; 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 includes: If the color, roughness, subsurface white layer thickness, and compound type of the surface characteristic parameters of the machined part to be tested all fall within the non-burned range, it indicates that the machined part 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.

2. The metal surface burn detection method according to claim 1, characterized in that: The burn range includes a first range and a second range; the first range includes a third color, a third roughness range, a third thickness range and a third compound; the second range includes a fourth color, a fourth roughness range, a fourth thickness range and a fourth 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 a burn interval includes: If at least one of the surface characteristic parameters of the machined 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 machined workpiece to be tested, namely, color, roughness, subsurface white layer thickness, and compound type, falls within the second interval, it indicates that the machined workpiece to be tested has suffered a first degree of burn; 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 second interval, it indicates that the cutting workpiece to be tested has suffered a second degree of burn, which is more severe than the first degree of burn.

3. The metal surface burn detection method according to claim 1, 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 measured.

4. The metal surface burn detection method according to claim 3, 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 includes: 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 workpiece to be measured.

5. The metal surface burn detection method according to claim 1, 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 includes: A metallographic microscope is used to obtain the subsurface morphology of the cut workpiece to be measured, and the thickness of the subsurface white layer in the subsurface morphology is obtained.

6. The metal surface burn detection method according to claim 1, characterized in that: The step of obtaining the compound type of the machined surface of the cutting workpiece to be measured includes: A surface analysis method is used to obtain the compound type of the machined surface of the cutting workpiece to be tested.

7. The metal surface burn detection method according to claim 6, 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 includes: An X-ray photoelectron spectrometer is used to analyze the machined surface of the cutting workpiece to be tested to obtain a fine element spectrum, and the compound type of the machined surface of the cutting workpiece to be tested is determined based on the fine element spectrum.

8. A metal surface burn detection device, characterized in that: include: a surface characteristic parameter acquisition mechanism for acquiring surface characteristic parameters of the cutting workpiece to be measured; the surface characteristic parameters include the color, morphology, roughness, subsurface morphology, compound type, and thickness of a subsurface white layer in the subsurface morphology of the machined surface of the cutting workpiece to be measured; the morphology includes surface pits and / or adhesions; a processing mechanism connected to the surface characteristic parameter acquisition mechanism, the processing mechanism being configured to compare the surface characteristic parameters of the cutting workpiece to be tested with each pre-set burn classification interval, and determine whether the cutting workpiece to be tested is burned, each of the burn classification intervals corresponding to a burn degree of the cutting workpiece; Each burn interval includes an unburned interval range and a burned interval range, wherein the unburned interval range includes a first color type, a first roughness range, a first thickness range, and a first compound type; and the burned interval range includes a second color type, a second roughness range, a second thickness range, and a second compound type. If the color, roughness, subsurface white layer thickness, and compound type of the surface characteristic parameters of the machined part to be tested all fall within the non-burned range, it indicates that the machined part 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.

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