Cold Spraying Pre-Interface Contamination Detection Method, Device and Equipment

Abstract

The present invention provides a method, device and equipment for detecting interface contamination before cold spraying. The method includes: the timing of the detection is after sandblasting treatment and before cold spray additive manufacturing; photographing the sandblasted surface of the part at a preset photographing multiple to obtain a sandblasted surface image; determining the contaminated area from the sandblasted surface image; selecting a quantitative analysis area from the contaminated area; counting the pollutant parameters in the quantitative analysis area; calculating a surface contamination ratio, a pollutant isolation determination coefficient and a pollutant continuity determination coefficient according to the pollutant parameters; and judging whether the contamination degree of the sandblasted surface of the part is qualified according to the surface contamination ratio, the pollutant isolation determination coefficient and the pollutant continuity determination coefficient. Through the present invention, a quantitative contamination detection method for specimens or parts is carried out after sandblasting pretreatment and before cold spraying, which greatly improves the efficiency and accuracy of contamination detection, and provides an opportunity for corrective rework of products with excessive contamination degree.

Description

Technical Field

[0001] The present invention relates to the technical field of cold spray additive manufacturing, and particularly to a method, device and equipment for detecting interface contamination before cold spraying. Background Art

[0002] Cold spray technology is a coating deposition preparation technology based on aerodynamics, characterized by powder solid-state deposition. This technology uses a low-temperature supersonic gas jet to accelerate spraying particles, so that the particles do not melt and plastically collide with the substrate in a solid state to achieve coating deposition. The general process of cold spray additive manufacturing is: surface cleaning of parts - sandblasting treatment - cold spray additive manufacturing - supplementary machining. Since the additive coating and the substrate are bonded by the interface, the contamination of the sandblasted surface of the substrate will cause interface contaminants to be included, reducing the interface strength. The traditional detection of interface contamination in cold spray additive manufacturing is carried out after spraying. Usually, samples or parts are cut and sampled, and the inclusions, holes and other defects at the interface between the substrate and the coating on the cross-section are observed under an optical microscope to evaluate the interface contamination. This method is destructive to parts, and only samples processed in the same batch or a certain proportion of parts can be selected for detection. At the same time, the detection timing of this method is after the cold spray additive manufacturing of the parts is completed, and the contaminants caused by sandblasting have been included between the substrate and the coating. Even if it is found that the inclusion exceeds the standard, it cannot be reworked, resulting in product scrapping. At the same time, the existing technologies are all qualitative contamination detection and analysis of the interface after part spraying, and the accuracy of the judgment results is greatly affected by the experience of the detection personnel, and the contamination degree after sandblasting cannot be quantitatively evaluated.

[0003] Therefore, for cold spray interface contamination, there is an urgent need for a measurement method that can achieve quantitative evaluation, and this method can be implemented before cold spraying after sandblasting, providing more objective detection data for the surface contamination degree after sandblasting, improving product quality, and at the same time providing an opportunity for correction and rework of products with excessive sandblasting contamination, further reducing the quality cost. Summary of the Invention

[0004] The present application provides a quantitative pollution detection method for the pollution degree of parts before cold spraying sandblasting treatment, and describes the surface pollution degree after sandblasting with the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient; this method is carried out after sandblasting and before cold spraying additive manufacturing, provides more objective pollution degree data, improves product quality, and at the same time provides an opportunity for corrective rework of products with excessive sandblasting pollution, further reducing the quality cost. The detection method provided by the present application can be implemented with a general metallurgical microscope and manually calculated, or can be implemented with the device attached to the present application to improve the detection efficiency. In the specific implementation process, according to the product performance requirements, specific indicators are set for the three parameters of the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient, which are used to determine the qualification of the pollution degree of the product after sandblasting. The cold spraying interface mentioned in the present application refers to the bonding surface between the cold spraying coating and the substrate. After sandblasting and before cold spraying, the sandblasted surface of the special part (after spraying, the sandblasted surface characteristics will be solidified between the substrate and the coating to form an interface).

[0005] In a first aspect, the present invention provides a method for detecting interface pollution before cold spraying, and the method for detecting interface pollution before cold spraying includes:

[0006] Taking a photograph of the surface of the part in the cold spraying area after sandblasting at a preset photographing magnification to obtain an image of the sandblasted surface of the part;

[0007] Determining the pollution area from the image of the sandblasted surface of the part;

[0008] Selecting a quantitative analysis area from the pollution area;

[0009] Counting the pollutant parameters in the quantitative analysis area;

[0010] Calculating the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient according to the pollutant parameters;

[0011] Judging whether the pollution degree of the sandblasted surface of the part is qualified according to the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient.

[0012] Optionally, before the step of taking a photograph of the surface of the part in the cold spraying area after sandblasting at a preset photographing magnification to obtain an image of the sandblasted surface of the part, it further includes:

[0013] Controlling a blowing device to blow and sweep the sandblasted surface of the part, wherein the gas blown out by the blowing device is oil-free and water-free compressed air.

[0014] Optionally, the quantitative analysis area is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area.

[0015] Optionally, the pollutant parameters include the average diameter of polluted particulate matter, the quantity of polluted particulate matter, the area of the quantitative analysis region, the average spacing of polluted particulate matter, the length of the region with the minimum spacing of polluted particulate matter, the average diameter of polluted particulate matter in the region with the minimum spacing of polluted particulate matter, and the quantity of polluted particulate matter in the region with the minimum spacing of polluted particulate matter.

[0016] Optionally, the steps of calculating the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient based on the pollutant parameters include:

[0017] Substitute the average diameter of polluted particulate matter, the quantity of polluted particulate matter, and the area of the quantitative analysis region into the first formula to calculate the surface pollution ratio. The first formula is:

[0018]

[0019] where P is the surface pollution ratio, a1 is the average diameter of polluted particulate matter, m is the quantity of polluted particulate matter, and S is the area of the quantitative analysis region;

[0020] Substitute the average diameter of polluted particulate matter and the average spacing of polluted particulate matter into the second formula to calculate the pollutant isolation determination coefficient. The second formula is:

[0021]

[0022] where Q is the pollutant isolation determination coefficient and L1 is the average spacing of polluted particulate matter;

[0023] Substitute the length of the region with the minimum spacing of polluted particulate matter, the average diameter of polluted particulate matter in the region with the minimum spacing of polluted particulate matter, and the quantity of polluted particulate matter in the region with the minimum spacing of polluted particulate matter into the third formula to calculate the pollutant continuity determination coefficient. The third formula is:

[0024]

[0025] where R is the pollutant continuity determination coefficient, L2 is the length of the region with the minimum spacing of polluted particulate matter, a2 is the average diameter of polluted particulate matter in the region with the minimum spacing of polluted particulate matter, and n is the quantity of polluted particulate matter in the region with the minimum spacing of polluted particulate matter.

[0026] In a second aspect, the present invention further provides a device for detecting interface pollution before cold spraying. The device for detecting interface pollution before cold spraying includes:

[0027] A photographing module, configured to photograph the surface of the part after sandblasting in the cold spraying area according to a preset photographing multiple to obtain an image of the sandblasted surface of the part;

[0028] A first partitioning module, configured to determine the polluted area from the image of the sandblasted surface of the part;

[0029] A second division module, configured to select a quantitative analysis area from the contaminated area;

[0030] A statistics module, configured to count the pollutant parameters in the quantitative analysis area;

[0031] A calculation module, configured to calculate a surface pollution ratio, a pollutant isolation determination coefficient, and a pollutant continuity determination coefficient based on the pollutant parameters;

[0032] A judgment module, configured to judge whether the pollution degree of the sandblasted surface of the part is qualified according to the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient.

[0033] Optionally, the interface pollution detection device before cold spraying further includes a preprocessing module, configured to:

[0034] Control a blowing device to blow the sandblasted surface of the part, wherein the gas blown by the blowing device is oil-free and water-free compressed air.

[0035] Optionally, the pollutant parameters include an average diameter of pollution particles, a number of pollution particles, an area of the quantitative analysis area, an average spacing of pollution particles, a length of the minimum spacing area of pollution particles, an average diameter of pollution particles in the minimum spacing area of pollution particles, and a number of pollution particles in the minimum spacing area of pollution particles.

[0036] Optionally, the calculation module is specifically configured to:

[0037] Substitute the average diameter of pollution particles, the number of pollution particles, and the area of the quantitative analysis area into a first formula to calculate the surface pollution ratio, and the first formula is:

[0038]

[0039] wherein, P is the surface pollution ratio, a1 is the average diameter of pollution particles, m is the number of pollution particles, and S is the area of the quantitative analysis area;

[0040] Substitute the average diameter of pollution particles and the average spacing of pollution particles into a second formula to calculate the pollutant isolation determination coefficient, and the second formula is:

[0041]

[0042] wherein, Q is the pollutant isolation determination coefficient, and L1 is the average spacing of pollution particles;

[0043] Substitute the length of the minimum spacing area of pollution particles, the average diameter of pollution particles in the minimum spacing area of pollution particles, and the number of pollution particles in the minimum spacing area of pollution particles into a third formula to calculate the pollutant continuity determination coefficient, and the third formula is:

[0044]

[0045] Among them, R is the pollutant continuity determination coefficient, L2 is the length of the minimum spacing area of the polluted particles, a2 is the average diameter of the polluted particles in the minimum spacing area of the polluted particles, and n is the number of polluted particles in the minimum spacing area of the polluted particles.

[0046] In a third aspect, the present invention also provides a pre-cold spraying interface pollution detection device, which includes a processor, a memory, and a pre-cold spraying interface pollution detection program stored on the memory and executable by the processor. When the pre-cold spraying interface pollution detection program is executed by the processor, the steps of the pre-cold spraying interface pollution detection method described above are implemented.

[0047] In the present invention, the surface of the sandblasted part in the cold spraying area is photographed at a preset shooting magnification to obtain an image of the sandblasted surface of the part; the polluted area is determined from the image of the sandblasted surface of the part; a quantitative analysis area is selected from the polluted area; the pollutant parameters in the quantitative analysis area are counted; according to the pollutant parameters, the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient are calculated; whether the pollution degree of the sandblasted surface of the part is qualified is judged according to the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient. Through the present invention, based on a quantitative pollution detection method for samples or parts after sandblasting pretreatment and before cold spraying, the efficiency and accuracy of pollution detection are greatly improved, and an opportunity for corrective rework is provided for products with excessive pollution. Description of the Drawings

[0048] Figure 1 It is a schematic hardware structure diagram of the pre-cold spraying interface pollution detection device involved in the embodiment scheme of the present invention;

[0049] Figure 2 It is a schematic flowchart of an embodiment of the pre-cold spraying interface pollution detection method of the present invention;

[0050] Figure 3 It is an image of the polluted area after the quantitative analysis area is demarcated in an embodiment;

[0051] Figure 4 It is an image of the polluted area with the pollutant parameters calibrated in the quantitative analysis area in an embodiment;

[0052] Figure 5 It is a schematic functional module diagram of an embodiment of the pre-cold spraying interface pollution detection device of the present invention.

[0053] The implementation, functional features, and advantages of the present invention will be further described in conjunction with embodiments and with reference to the accompanying drawings. Detailed implementation manners

[0054] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0055] In a first aspect, an embodiment of the present invention provides an interface pollution detection device before cold spraying.

[0056] Referring to Figure 1 , Figure 1 , which is a schematic diagram of the hardware structure of the interface pollution detection device before cold spraying involved in the embodiment scheme of the present invention. In the embodiment of the present invention, the interface pollution detection device before cold spraying may include a processor 1001 (such as a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components; the user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-FIdelity, WI-FI interface); the memory 1005 may be a high-speed random access memory (random access memory, RAM) or a stable memory (non-volatile memory), such as a disk memory, and the memory 1005 may optionally also be a storage device independent of the aforementioned processor 1001. Those skilled in the art can understand that Figure 1 the hardware structure shown in

[0057] does not constitute a limitation to the present invention and may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements. Figure 1 Continuing to refer to Figure 1 , in the memory 1005 as a computer storage medium, there may be an operating system, a network communication module, a user interface module, and an interface pollution detection program before cold spraying. Among them, the processor 1001 may call the interface pollution detection program stored in the memory 1005 and execute the interface pollution detection method provided by the embodiment of the present invention.

[0058] In a second aspect, an embodiment of the present invention provides an interface pollution detection method before cold spraying.

[0059] In one embodiment, referring to Figure 2 , Figure 2This is a flow chart of an embodiment of the method for detecting interface contamination before cold spraying of the present invention. Figure 2 As shown, the method for detecting interface contamination before cold spraying includes:

[0060] Step S10, photographing the sandblasted surface of the cold sprayed area of the part according to a preset photographing magnification to obtain an image of the sandblasted surface of the part;

[0061] In this embodiment, there will be more or less contamination particles on the surface of the part after sandblasting. In order to facilitate the contamination detection of the sandblasted surface of the part, it is necessary to take a picture of the sandblasted surface of the part to obtain an image of the sandblasted surface of the part. However, the size of the contamination particles on the sandblasted surface of the part is negligible relative to the objects in the macroscopic world, so the image of the sandblasted surface of the part obtained by magnifying and photographing with an ordinary camera is not convenient for detection and analysis. Therefore, it is necessary to connect the electron microscope to the computer, use the camera function of the electron microscope, and take pictures according to the preset shooting magnification to obtain the image of the sandblasted surface of the part and display it on the computer. At the same time, different microscopes are also needed for parts of different sizes. Usually, smaller part styles such as small specimens are detected using a desktop stereo microscope, and large-sized parts are detected using a portable digital microscope, where the digital microscope should be equipped with an auxiliary positioning bracket.

[0062] For example, if you need to inspect part A for contamination, you need to place part A under a microscope connected to a computer and photograph it to obtain an image of its sandblasted surface. When photographing, you need to select a preset magnification. Generally, a magnification of 45x or 70x is used. This provides an accurate and clear interface image. Of course, the magnification can be adjusted appropriately depending on the actual situation. After obtaining the image of the sandblasted surface of part A, you can begin the subsequent steps of contamination inspection.

[0063] Furthermore, in one embodiment, before step S10, the method further includes:

[0064] The blowing equipment is controlled to perform a blowing treatment on the sandblasting surface of the parts, wherein the gas blown out by the blowing equipment is oil-free and water-free compressed air.

[0065] In this embodiment, the step before step S10 is the pretreatment of the sandblasted surface of the part. Among them, sandblasting the surface of the part can make the surface of the part present a certain roughness, increase the contact area between the coating and the part substrate during the subsequent cold spraying process, and improve the adhesion of the coating to the substrate. After sandblasting, there may be some pollutants such as dust on the part substrate. In order to facilitate the subsequent pollution detection and cold spraying operation on the sandblasted surface, it is necessary to control the blowing equipment to carry out purging treatment. At the same time, in order to avoid other pollution when purging dust, the gas blown out by the blowing equipment should have strict requirements, preferably oil-free and water-free compressed air.

[0066] For example, for the existing part B, before pollution detection, it is necessary to carry out pretreatment on it. First, sandblast the surface of the substrate of part B, use compressed air as the power to form a high-speed jet beam, and spray the spraying materials (such as copper ore sand, quartz sand, iron sand, sea sand, emery, etc.) onto the surface of part B at high speed, so that the appearance of the surface of part B changes. Due to the impact and cutting action of the abrasive on the workpiece surface, the workpiece surface obtains a certain cleanliness and different roughness, so that it is convenient to carry out pollution detection and cold spraying on part B. Then, use a blowing equipment with oil-free and water-free compressed air as the blown gas to purge the surface of part B to blow off the dust of part B. Similarly, such an operation is convenient for subsequent pollution detection and cold spraying on part B. For the pretreatment of part B, although it is not in the steps of pollution detection, it can greatly improve the accuracy of pollution detection.

[0067] Step S20, determine the pollution area from the image of the sandblasted surface of the part.

[0068] In this embodiment, after obtaining the image of the sandblasted surface of the part, in order to facilitate the pollution detection of the sandblasted surface of the part, the sandblasted surface of the part is divided into a non-pollution area and a pollution area.

[0069] For example, for the pollution detection of part C, in the image of the sandblasted surface of part C, the number of pollution particles in a connected part of the area is 100, and the number of pollution particles in the remaining area is 5. The connected area with 100 pollution particles is divided into the pollution area, and the remaining area with 5 pollution particles is the non-pollution area. Another example is for the pollution detection of part D. In the image of the sandblasted surface of part D, the number of pollution particles in a connected part of the area is 1000, and the number of pollution particles in the remaining area is 10. The connected area with 1000 pollution particles is divided into the pollution area, and the remaining area with 10 pollution particles is the non-pollution area.

[0070] Step S30, select a quantitative analysis area from the pollution area;

[0071] In this embodiment, in order to perform subsequent quantitative pollution detection on the sandblasted surface of the part, a quantitative analysis area needs to be selected in the pollution area. The quantitative analysis area can be selected according to the actual situation. For example, the quantitative analysis area can be selected according to the size and number of pollution particles in the pollution area.

[0072] For example, for pollution detection of part E, the average diameter of the pollution particles in the pollution area on the sandblasted surface of part E is 1 micron. Now, the quantitative analysis area in the pollution area on the sandblasted surface of part E is defined as the area where two lines symmetric about the horizontal center line intersect with the boundary of the pollution area. Among them, the distance between the two lines symmetric about the horizontal center line is set to 8 microns, which is 8 times the average diameter of the pollution particles. Of course, there is more than one method for selecting the quantitative analysis area. For another example, the selection criteria for the quantitative analysis area in the pollution area on the sandblasted surface of part E can be appropriately adjusted. The horizontal center line is changed to an oblique center line, and there are multiple specific directions. The distance between the two lines symmetric about the horizontal center line is set to 10 microns, and there are also multiple specific distances.

[0073] Further, in one embodiment, the quantitative analysis area is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area.

[0074] In this embodiment, referring to Figure 3 , Figure 3 is an image of the pollution area after the quantitative analysis area is demarcated in one embodiment. As Figure 3 shown, the marked area in the figure is the quantitative analysis area, and the remaining area is the non - quantitative analysis area. Among them, the quantitative analysis area is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area. The center line is the horizontal center line, and the two boundary lines symmetric about the center line of the pollution area are parallel to the center line. Of course, Figure 3 the demarcation method of the quantitative analysis area shown is only one embodiment method. As long as it is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area, it can be used as the quantitative analysis area. For example, for a part F, in the quantitative analysis area on the sandblasted surface of part F, the center line is obtained by rotating the horizontal center line counterclockwise by 45 degrees. Among the two boundary lines symmetric about the center line of the pollution area, the upper boundary line is obtained by rotating counterclockwise by 50 degrees, and the lower boundary line is symmetric with the upper boundary line based on the center line. The quantitative analysis area obtained in this way is also one of many embodiments.

[0075] Step S40, statistically analyze the pollutant parameters in the quantitative analysis area;

[0076] In this embodiment, both the pollution detection and the analysis based on the results of the pollution detection are quantitative. Therefore, it is necessary to count the pollutant parameters in the quantitative analysis area as the input for subsequent pollution detection and analysis. For the accuracy of the count, instruments such as computers should be used to measure and count the pollutant parameters in the quantitative analysis area. For example, when detecting the pollution of part G, it is necessary to count the pollutant parameters in the quantitative analysis area of the sandblasted surface image of part G. Now, computer software A is used to measure and count the pollutant parameters in the quantitative analysis area of the sandblasted surface image of part G, and finally a series of pollutant parameter values are obtained. Of course, according to actual needs, not only can different computer software be used for counting pollutant parameters, but other measuring and counting instruments besides computers can also be used to measure and count the pollutant parameters in the quantitative analysis area of the sandblasted surface image of part G.

[0077] Further, in one embodiment, the pollutant parameters include the average diameter of pollution particulate matter, the number of pollution particulate matter, the area of the quantitative analysis area, the average spacing of pollution particulate matter, the length of the area with the minimum spacing of pollution particulate matter, the average diameter of pollution particulate matter in the area with the minimum spacing of pollution particulate matter, and the number of pollution particulate matter in the area with the minimum spacing of pollution particulate matter.

[0078] In this embodiment, in order to facilitate the quantification of the pollution detection results, it is necessary to measure a series of pollutant parameters as described above. Of course, there will be certain errors in the process of measuring the above pollutant parameters. In addition to the pollutant parameters listed above, different types of pollutant parameters can also be measured according to different pollution degree judgment criteria. For example, if the minimum spacing of pollution particulate matter is required when judging the pollution degree, and the length of the area with the minimum spacing of pollution particulate matter is not required, the types of pollutant parameter counts can be changed according to actual needs.

[0079] Step S50, calculate the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient according to the pollutant parameters;

[0080] In this embodiment, in order to judge the pollution degree, a series of the above-mentioned counted pollutant parameters are used as the input, and the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient are output. Among them, the surface pollution ratio can be used as the quantitative analysis basis for the pollution degree per unit area, and the pollutant isolation determination coefficient and the pollutant continuity determination coefficient can be used as the quantitative analysis basis for the distribution of pollution particulate matter in the quantitative analysis area.

[0081] Further, in one embodiment, the step of calculating the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient according to the pollutant parameters includes:

[0082] Substitute the average diameter of the polluted particulate matter, the number of polluted particulate matters, and the area of the quantitative analysis region into the first formula to calculate the surface pollution ratio. The first formula is:

[0083]

[0084] Wherein, P is the surface pollution ratio, a1 is the average diameter of the polluted particulate matter, m is the number of polluted particulate matters, and S is the area of the quantitative analysis region;

[0085] Substitute the average diameter of the polluted particulate matter and the average spacing of the polluted particulate matter into the second formula to calculate the pollutant isolation determination coefficient. The second formula is:

[0086]

[0087] Wherein, Q is the pollutant isolation determination coefficient, and L1 is the average spacing of the polluted particulate matter;

[0088] Substitute the length of the minimum spacing region of the polluted particulate matter, the average diameter of the polluted particulate matter in the minimum spacing region of the polluted particulate matter, and the number of polluted particulate matters in the minimum spacing region of the polluted particulate matter into the third formula to calculate the pollutant continuity determination coefficient. The third formula is:

[0089]

[0090] Wherein, R is the pollutant continuity determination coefficient, L2 is the length of the minimum spacing region of the polluted particulate matter, a2 is the average diameter of the polluted particulate matter in the minimum spacing region of the polluted particulate matter, and n is the number of polluted particulate matters in the minimum spacing region of the polluted particulate matter.

[0091] In this embodiment, refer to Figure 4 , Figure 4 is an image of a polluted area with pollutant parameters calibrated in the quantitative analysis region in an embodiment. As Figure 4 shown, a1 is the average diameter of the polluted particulate matter, L1 is the average spacing of the polluted particulate matter, L2 is the length of the minimum spacing region of the polluted particulate matter, and a2 is the average diameter of the polluted particulate matter in the minimum spacing region of the polluted particulate matter. Continuing the statistics, the number of polluted particulate matters m, the area S of the quantitative analysis region, and the number of polluted particulate matters n in the minimum spacing region of the polluted particulate matter can be obtained. Substitute the numerical values of the statistically obtained pollutant parameters into the first formula, the second formula, and the third formula to obtain the surface pollution ratio P, the pollutant isolation determination coefficient Q, and the pollutant continuity determination coefficient R.

[0092] For example, for part H, after processing the sandblasted surface image of part H into a contaminated area where the quantitative analysis area has been divided, through statistics, the average diameter a1 of the contaminated particulate matter is A1, the number m of the contaminated particulate matter is M1, the area S of the quantitative analysis area is S1, the average spacing L1 of the contaminated particulate matter is l1, the length L2 of the area with the minimum spacing of the contaminated particulate matter is l2, the average diameter a2 of the contaminated particulate matter in the area with the minimum spacing of the contaminated particulate matter is A2, and the number n of the contaminated particulate matter in the area with the minimum spacing of the contaminated particulate matter is N1. Substituting the statistically obtained pollutant parameter values into the first formula, the second formula, and the third formula, the surface contamination ratio P1 is [3.14 × A1 2 / 4] × M1 / S1, the pollutant isolation determination coefficient Q1 is l1 / A1, and the pollutant continuity determination coefficient R1 is l2 / (A2 × N1).

[0093] Step S60: Determine whether the contamination degree of the sandblasted surface of the part is qualified according to the surface contamination ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient.

[0094] In this embodiment, the contamination degree of the sandblasted surface of the part is determined by the magnitudes of the surface contamination ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient. Since the surface contamination ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient are all calculated values, the defect of inaccurate qualitative judgment of the interface contamination degree is thus remedied.

[0095] For example, for the sandblasted surface of part I, after detecting the contamination and completing the statistics of the pollutant parameters, the surface contamination ratio is calculated to be 8% through the first formula, the second formula, and the third formula, the pollutant isolation determination coefficient is 6, and the pollutant continuity determination coefficient is 2. Assuming that part I is made of aluminum alloy material and the judgment criteria are that the surface contamination ratio is less than 9%, the pollutant isolation determination coefficient is greater than 5, and the pollutant continuity determination coefficient is greater than 1.25, then the contamination degree is qualified. Through comparison, the contamination degree of the interface of part I is qualified. Of course, for different part materials, the judgment of the contamination degree is not the same, and the judgment criteria can also be adjusted according to actual needs.

[0096] In this embodiment, the sandblasted surface of the part is photographed at a preset photographing multiple to obtain an image of the sandblasted surface of the part; a contaminated area is determined from the image of the sandblasted surface of the part; a quantitative analysis area is selected from the contaminated area; the pollutant parameters in the quantitative analysis area are counted; based on the pollutant parameters, a surface contamination ratio, a pollutant isolation determination coefficient, and a pollutant continuity determination coefficient are calculated; and whether the contamination degree of the sandblasted surface of the part is qualified is judged according to the surface contamination ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient. Through this embodiment, a quantitative contamination detection method for specimens or parts after sandblasting pretreatment and before cold spraying greatly improves the efficiency and accuracy of contamination detection, and provides an opportunity for rectification and rework of products with excessive contamination degrees.

[0097] In a third aspect, an embodiment of the present invention further provides an interface contamination detection device before cold spraying.

[0098] In one embodiment, referring to Figure 5 , Figure 5 is a schematic diagram of functional modules of an embodiment of the interface contamination detection device before cold spraying of the present invention. As shown in Figure 5 , the interface contamination detection device before cold spraying includes:

[0099] A photographing module 10, configured to photograph the surface of the part after sandblasting in the cold spraying area of the part at a preset photographing multiple to obtain an image of the sandblasted surface of the part;

[0100] A first partitioning module 20, configured to determine a contaminated area from the image of the sandblasted surface of the part;

[0101] A second partitioning module 30, configured to select a quantitative analysis area from the contaminated area;

[0102] A statistics module 40, configured to count the pollutant parameters in the quantitative analysis area;

[0103] A calculation module 50, configured to calculate a surface contamination ratio, a pollutant isolation determination coefficient, and a pollutant continuity determination coefficient according to the pollutant parameters;

[0104] A judgment module 60, configured to judge whether the contamination degree of the sandblasted surface of the part is qualified according to the surface contamination ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient.

[0105] Further, in one embodiment, the interface contamination detection device before cold spraying further includes a pretreatment module, configured to:

[0106] Control a blowing device to blow the sandblasted surface of the part, wherein the gas blown by the blowing device is oil-free and water-free compressed air.

[0107] Further, in one embodiment, the quantitative analysis area is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area.

[0108] Further, in one embodiment, the pollutant parameters include the average diameter of pollution particulate matter, the number of pollution particulate matter, the area of the quantitative analysis area, the average spacing of pollution particulate matter, the length of the area with the minimum spacing of pollution particulate matter, the average diameter of pollution particulate matter in the area with the minimum spacing of pollution particulate matter, and the number of pollution particulate matter in the area with the minimum spacing of pollution particulate matter.

[0109] Further, in one embodiment, the calculation module 50 is specifically configured to:

[0110] Substitute the average diameter of pollution particulate matter, the number of pollution particulate matter, and the area of the quantitative analysis area into the first formula to calculate the surface pollution ratio. The first formula is:

[0111]

[0112] where P is the surface pollution ratio, a1 is the average diameter of pollution particulate matter, m is the number of pollution particulate matter, and S is the area of the quantitative analysis area;

[0113] Substitute the average diameter of pollution particulate matter and the average spacing of pollution particulate matter into the second formula to calculate the pollutant isolation determination coefficient. The second formula is:

[0114]

[0115] where Q is the pollutant isolation determination coefficient and L1 is the average spacing of pollution particulate matter;

[0116] Substitute the length of the area with the minimum spacing of pollution particulate matter, the average diameter of pollution particulate matter in the area with the minimum spacing of pollution particulate matter, and the number of pollution particulate matter in the area with the minimum spacing of pollution particulate matter into the third formula to calculate the pollutant continuity determination coefficient. The third formula is:

[0117]

[0118] where R is the pollutant continuity determination coefficient, L2 is the length of the area with the minimum spacing of pollution particulate matter, a2 is the average diameter of pollution particulate matter in the area with the minimum spacing of pollution particulate matter, and n is the number of pollution particulate matter in the area with the minimum spacing of pollution particulate matter.

[0119] Wherein, the function implementation of each module in the above interface pollution detection device before cold spraying corresponds to each step in the above interface pollution detection method embodiment before cold spraying, and its function and implementation process will not be elaborated herein one by one.

[0120] It should be noted that, in this document, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article or system comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "comprising one..." does not exclude the presence of additional identical elements in the process, method, article or system comprising such element.

[0121] The serial numbers of the above embodiments of the present invention are for description only and do not represent the superiority or inferiority of the embodiments.

[0122] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium as described above (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device to execute the methods described in the various embodiments of the present invention.

[0123] The above are only the preferred embodiments of the present invention and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the description of the present invention and the accompanying drawings, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for detecting interface contamination before cold spraying, characterized in that, The pre-cold spraying interface pollution detection method describes the surface pollution degree after sandblasting using the surface pollution ratio, pollutant isolation determination coefficient, and pollutant continuity determination coefficient. The specific features include: The timing of this detection is after sandblasting and before cold spray additive manufacturing; The surface of the cold spraying area of the part after sandblasting is photographed at a preset magnification to obtain an image of the sandblasted surface of the part; The pollution area is determined from the image of the sandblasted surface of the part; A quantitative analysis area is selected from the pollution area; The pollutant parameters in the quantitative analysis area are counted; Based on the pollutant parameters, the surface pollution ratio, pollutant isolation determination coefficient, and pollutant continuity determination coefficient are calculated; Based on the surface pollution ratio, pollutant isolation determination coefficient, and pollutant continuity determination coefficient, it is judged whether the pollution degree of the sandblasted surface of the part is qualified; The steps of calculating the surface pollution ratio, pollutant isolation determination coefficient, and pollutant continuity determination coefficient based on the pollutant parameters include: Substitute the average diameter of pollution particles, the number of pollution particles, and the area of the quantitative analysis area into the first formula to calculate the surface pollution ratio. The first formula is: Where P is the surface pollution ratio, a1 is the average diameter of pollution particles, m is the number of pollution particles, and S is the area of the quantitative analysis area; Substitute the average diameter of pollution particles and the average spacing of pollution particles into the second formula to calculate the pollutant isolation determination coefficient. The second formula is: Where Q is the pollutant isolation determination coefficient and L1 is the average spacing of pollution particles; Substitute the length of the minimum spacing area of pollution particles, the average diameter of pollution particles in the minimum spacing area of pollution particles, and the number of pollution particles in the minimum spacing area of pollution particles into the third formula to calculate the pollutant continuity determination coefficient. The third formula is: Where R is the pollutant continuity determination coefficient, L2 is the length of the minimum spacing area of pollution particles, a2 is the average diameter of pollution particles in the minimum spacing area of pollution particles, and n is the number of pollution particles in the minimum spacing area of pollution particles.

2. The cold spray pre-interface pollution detection method according to claim 1, characterized in that, Before the step of photographing the surface of the cold spraying area of the part after sandblasting at a preset magnification to obtain an image of the sandblasted surface of the part, it further includes: Controlling a blowing device to blow the sandblasted surface of the part, wherein the gas blown by the blowing device is oil-free and water-free compressed air.

3. The method for detecting interfacial contamination before cold spraying according to claim 1, wherein, The quantitative analysis area is an area formed by the intersection of two boundary lines symmetric about the center line of the pollution area and the boundary of the pollution area.

4. The method for detecting interface contamination before cold spraying according to claim 1, wherein, The pollutant parameters include the average diameter of pollution particles, the number of pollution particles, the area of the quantitative analysis area, the average spacing of pollution particles, the length of the minimum spacing area of pollution particles, the average diameter of pollution particles in the minimum spacing area of pollution particles, and the number of pollution particles in the minimum spacing area of pollution particles.

5. A device for detecting interface contamination before cold spraying, characterized in that, The pre-cold spraying interface pollution detection device includes: A photographing module for photographing the surface of the cold spraying area of the part after sandblasting at a preset magnification to obtain an image of the sandblasted surface of the part; A first partitioning module for determining the pollution area from the image of the sandblasted surface of the part; A second partitioning module for selecting a quantitative analysis area from the pollution area; A statistical module for statistically analyzing pollutant parameters in a quantitative analysis area; A calculation module for calculating a surface pollution ratio, a pollutant isolation determination coefficient, and a pollutant continuity determination coefficient based on the pollutant parameters; A judgment module for judging whether the pollution degree of the sandblasted surface of the part is qualified according to the surface pollution ratio, the pollutant isolation determination coefficient, and the pollutant continuity determination coefficient; The calculation module is specifically used for: Substituting the average diameter of the pollution particles, the number of the pollution particles, and the area of the quantitative analysis area into the first formula to calculate the surface pollution ratio, and the first formula is: Wherein, P is the surface pollution ratio, a1 is the average diameter of the pollution particles, m is the number of the pollution particles, and S is the area of the quantitative analysis area; Substituting the average diameter of the pollution particles and the average spacing of the pollution particles into the second formula to calculate the pollutant isolation determination coefficient, and the second formula is: Wherein, Q is the pollutant isolation determination coefficient, and L1 is the average spacing of the pollution particles; Substituting the length of the minimum spacing area of the pollution particles, the average diameter of the pollution particles in the minimum spacing area of the pollution particles, and the number of the pollution particles in the minimum spacing area of the pollution particles into the third formula to calculate the pollutant continuity determination coefficient, and the third formula is: Wherein, R is the pollutant continuity determination coefficient, L2 is the length of the minimum spacing area of the pollution particles, a2 is the average diameter of the pollution particles in the minimum spacing area of the pollution particles, and n is the number of the pollution particles in the minimum spacing area of the pollution particles.

6. The pre-cold spraying interface contamination detection device according to claim 5, wherein, The pre-treatment module is further included in the interface pollution detection device before cold spraying, and is used for: Controlling the blowing device to blow the sandblasted surface of the part, wherein the gas blown by the blowing device is oil-free and water-free compressed air.

7. The cold spraying pre-interface pollution detection device according to claim 5, characterized in that, The pollutant parameters include the average diameter of the pollution particles, the number of the pollution particles, the area of the quantitative analysis area, the average spacing of the pollution particles, the length of the minimum spacing area of the pollution particles, the average diameter of the pollution particles in the minimum spacing area of the pollution particles, and the number of the pollution particles in the minimum spacing area of the pollution particles.

8. A device for detecting interface contamination before cold spraying, characterized in that, The interface pollution detection device before cold spraying includes a processor, a memory, and a cold spraying interface pollution detection program stored on the memory and executable by the processor. When the cold spraying interface pollution detection program is executed by the processor, the steps of the cold spraying interface pollution detection method according to any one of claims 1 to 4 are implemented.

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