Titanium and titanium alloy recycling scrap high-density inclusion sorting method

Abstract

This invention discloses a method for sorting high-density inclusions in recycled titanium and titanium alloy scrap. The method includes: step one, crushing and magnetic separation of the scrap; step two, acquisition and transmission of X-ray transmission images; step three, processing of the X-ray transmission images and determination of grayscale and area; and step four, determination of the thickness of the high-density scrap to be sorted. The method of this invention is simple in steps and rationally designed. By determining the grayscale and area of ​​the X-ray transmission images of titanium and titanium alloy scrap, high-density inclusions in the scrap are removed, thereby improving the quality of the sorted scrap. Furthermore, by determining the thickness of the titanium and titanium alloy scrap, the influence of scrap thickness is eliminated, and high-density inclusions in the titanium and titanium alloy scrap are sorted out.

Description

Technical Field

[0001] This invention belongs to the field of titanium and titanium alloy scrap processing technology, specifically relating to a high-density inclusion sorting method for recycled titanium and titanium alloy scrap. Background Technology

[0002] Currently, my country's titanium industry has a promising future. The processing of titanium and titanium alloy products requires turning to meet specific requirements. However, the turning shavings still contain a significant amount of recyclable material; discarding them directly would be wasteful. Therefore, it is necessary to reuse titanium and titanium alloy shavings to conserve titanium resources.

[0003] Each year, China produces approximately 20 million tons of titanium and titanium alloy scrap. There is a huge potential for the recycling and reuse of titanium and titanium alloy scrap. In the actual recycling process, titanium and titanium alloy scrap may contain tungsten tool particles, which increases the density of the scrap. Therefore, in order to improve the quality of the scrap during the recycling process, it is necessary to remove high-density inclusions and magnetic material inclusions. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a high-density inclusion sorting method for titanium and titanium alloy recycled scrap. The method has simple steps and reasonable design. First, magnetic material inclusions are removed. Then, the grayscale and area of ​​the X-ray transmission image of the titanium and titanium alloy scrap are judged. Furthermore, the thickness of the titanium and titanium alloy scrap is judged to eliminate the influence of scrap thickness, thereby removing high-density inclusions in the scrap and improving the quality of the sorted scrap.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for high-density inclusion separation of recycled titanium and titanium alloy scrap, characterized in that the method includes the following steps:

[0006] Step 1: Crushing and magnetic separation of the scrap material:

[0007] Step 101: Crush the titanium and titanium alloy scrap to be recycled to obtain crushed scrap; wherein the particle size of the crushed scrap is 2mm to 15mm.

[0008] Step 102: The crushed material is fed into the vibrating feeder through the hopper and then conveyed by the belt conveyor.

[0009] Step 103: During the conveyor belt process of the crushed material, the magnetic separator removes the magnetic material from the material to obtain the material to be identified.

[0010] Step 2: Acquisition and transmission of X-ray perspective images:

[0011] Step 201: As the debris to be identified moves along the conveyor belt, the computer controls the X-ray generator to emit X-rays to the debris to be identified. The X-ray detector receives and collects the X-rays passing through the debris and sends them to the computer. The computer obtains an X-ray perspective view of the debris to be identified; wherein, the X-ray perspective view is a grayscale image.

[0012] Step 3: Processing X-ray perspective images and determining grayscale and area:

[0013] Step 301: The computer performs Gaussian filtering on the X-ray perspective image to obtain the Gaussian-filtered X-ray perspective image.

[0014] Step 302: The computer performs binarization processing on the Gaussian filtered X-ray perspective view to obtain a binarized image of the scrap material;

[0015] Step 303: The computer uses a connected component labeling algorithm to label the connected components of the binarized image of the scrap material, resulting in multiple connected regions of the scrap material.

[0016] Step 304: Use a computer to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray perspective image; where j is a positive integer.

[0017] Step 305: If the connected region of the j-th chip does not meet the grayscale sorting requirements, then the j-th chip corresponding to the connected region of the j-th chip is the high-density chip to be judged, and proceed to step four; If the connected region of the j-th chip in the X-ray perspective image meets the grayscale sorting requirements, then the j-th chip corresponding to the connected region of the j-th chip is the sorted and recycled chip, and enters the collection bucket for collection.

[0018] Step 4: Determining the thickness of the high-density scrap material to be judged:

[0019] Step 401: As the high-density scrap material to be judged continues to move with the conveyor belt, the computer controls the X-ray source to emit X-rays to the high-density scrap material to be judged. The X-ray probe obtains the X-ray transmission intensity through the high-density scrap material to be judged and sends it to the computer. The computer obtains the thickness of the high-density scrap material to be judged based on the incident intensity and X-ray transmission intensity of the X-ray source.

[0020] Step 402: The computer compares the thickness of the high-density scrap to be judged with the set value of the scrap thickness. If the thickness of the high-density scrap to be judged is less than the set value of the scrap thickness, the high-density scrap to be judged is a high-density inclusion. The nozzle is activated to make the high-density inclusion deviate from the free fall path and enter the waste bin.

[0021] If the thickness of the high-density scrap to be judged is greater than the set value of scrap thickness, then the scrap is recycled after sorting and enters the collection bin for collection.

[0022] The above-mentioned method for high-density inclusion separation of recycled titanium and titanium alloy scrap is characterized in that: before the acquisition and transmission of the X-ray perspective image in step two, the X-ray generator is adjusted to meet the separation requirements, and the specific process is as follows:

[0023] Step A: Tighten the adjusting nut and ensure that the end of the adjusting nut is tightened, so that the threaded adjusting rod is screwed out of the sleeve, thereby causing the mounting plate X-ray generator and X-ray detector to move closer to the conveyor belt's process surface;

[0024] Step B: As the X-ray generator and X-ray detector on the mounting plate move closer to the conveyor belt's progress surface, the distance sensor detects the distance between the mounting plate and the conveyor belt's progress surface in real time to meet the sorting distance requirements.

[0025] The above-mentioned method for high-density inclusion sorting of titanium and titanium alloy recycled scrap is characterized in that: in step 304, a computer is used to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray imaging, and the specific process is as follows:

[0026] Step 3041: Use a computer to obtain the grayscale values ​​of each pixel in the j-th connected region of the chip from the X-ray perspective view and perform mean processing to obtain the mean grayscale value of the j-th connected region of the chip. ;

[0027] Step 3042: Use a computer to calculate the average gray value of the connected region of the j-th chip. With grayscale setting threshold ,when If the pixel value of the j-th connected region of the scrap meets the grayscale sorting requirements, proceed to steps 3043 and 3044; otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, proceed to step 305.

[0028] Step 3043: Use a computer to obtain the total number of pixels in the connected region of the j-th chip from the X-ray perspective view and record it as... ;

[0029] Step 3044: Use a computer to calculate the total number of pixels in the connected region of the j-th chip. Set a threshold with the number of pixels ,when If the pixel value of the j-th connected region of the scrap meets the area sorting requirements, then step 305 is executed. Otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, then step 305 is executed.

[0030] Compared with the prior art, the present invention has the following advantages:

[0031] 1. This invention uses a connected component labeling algorithm to label connected regions in the binarized image of scrap materials, resulting in multiple connected regions of scrap materials. Each connected region of scrap materials corresponds to a titanium or titanium alloy scrap material. By judging the gray level and area of ​​the connected regions of scrap materials, the different densities of each titanium or titanium alloy scrap material can be identified.

[0032] 2. This invention extracts grayscale values ​​from X-ray perspective images, averages the grayscale values ​​corresponding to pixels in the connected regions of the scrap material, and then compares them with a grayscale threshold, thereby improving the accuracy of grayscale sorting.

[0033] 3. The method of the present invention has simple steps and reasonable design. First, the material is crushed and magnetically separated. Second, the X-ray perspective image is acquired and transmitted. Next, the X-ray perspective image is processed and grayscale and area are judged. Finally, the thickness of the high-density material to be judged is judged.

[0034] In summary, the method of the present invention is simple in steps and reasonable in design. First, magnetic material inclusions are removed. Then, the grayscale and area of ​​the X-ray transmission image of titanium and titanium alloy scrap are judged. Furthermore, the thickness of the titanium and titanium alloy scrap is judged to eliminate the influence of scrap thickness, thereby removing high-density inclusions in the scrap and improving the quality of the sorted scrap.

[0035] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0036] Figure 1 This is a flowchart of the present invention.

[0037] Figure 2 This is a schematic diagram of the structure of the present invention.

[0038] Figure 3 This is a schematic diagram of the structure of the adjustment bracket of the present invention.

[0039] Explanation of reference numerals in the attached figures:

[0040] 1-Hopper; 2-Vibrating feeder; 3-Belt conveyor;

[0041] 4-1-X-ray generator; 4-2-X-ray detector; 5-Magnetic separator;

[0042] 6- Nozzle; 7- Waste bin; 8- Collection bin;

[0043] 9-1-X-ray source; 9-2-X-ray probe; 10-1-Top plate;

[0044] 10-2-Sleeve; 10-3-Adjusting nut; 10-4-Threaded adjusting rod;

[0045] 10-5-Mounting plate; 10-6-Distance sensor. Detailed Implementation

[0046] like Figures 1 to 3 As shown, the present invention includes the following methods:

[0047] Step 1: Crushing and magnetic separation of the scrap material:

[0048] Step 101: Crush the titanium and titanium alloy scrap to be recycled to obtain crushed scrap; wherein the particle size of the crushed scrap is 2mm to 15mm.

[0049] Step 102: The crushed material is fed into the vibrating feeder 2 through the hopper 1 and then conveyed by the belt conveyor 3.

[0050] Step 103: During the conveying process of the crushed material through the belt conveyor 3, the magnetic separator 5 removes the magnetic material from the material to obtain the material to be identified.

[0051] Step 2: Acquisition and transmission of X-ray perspective images:

[0052] Step 201: As the debris to be identified moves along the conveyor belt 3, the computer controls the X-ray generator 4-1 to emit X-rays to the debris to be identified. The X-ray detector 4-2 receives and collects the X-rays passing through the debris to be identified and sends them to the computer. The computer obtains an X-ray perspective view of the debris to be identified; wherein, the X-ray perspective view is a grayscale image.

[0053] Step 3: Processing X-ray perspective images and determining grayscale and area:

[0054] Step 301: The computer performs Gaussian filtering on the X-ray perspective image to obtain the Gaussian-filtered X-ray perspective image.

[0055] Step 302: The computer performs binarization processing on the Gaussian filtered X-ray perspective view to obtain a binarized image of the scrap material;

[0056] Step 303: The computer uses a connected component labeling algorithm to label the connected components of the binarized image of the scrap material, resulting in multiple connected regions of the scrap material.

[0057] Step 304: Use a computer to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray perspective image; where j is a positive integer.

[0058] Step 305: If the connected region of the j-th chip does not meet the grayscale sorting requirements, then the j-th chip corresponding to the connected region of the j-th chip is the high-density chip to be judged, and step four is executed; If the connected region of the j-th chip in the X-ray perspective image meets the grayscale sorting requirements, then the j-th chip corresponding to the connected region of the j-th chip is the sorted and recycled chip, and enters the collection bucket 8 for collection.

[0059] Step 4: Determining the thickness of the high-density scrap material to be judged:

[0060] Step 401: As the high-density scrap to be judged continues to move along the conveyor belt 3, the computer controls the X-ray source 9 to emit X-rays to the high-density scrap to be judged, and the X-ray probe 10 obtains the X-ray transmission intensity through the high-density scrap to be judged and sends it to the computer. The computer obtains the thickness of the high-density scrap to be judged based on the incident intensity and X-ray transmission intensity of the X-ray source 9.

[0061] Step 402: The computer compares the thickness of the high-density scrap to be judged with the set value of the scrap thickness. If the thickness of the high-density scrap to be judged is less than the set value of the scrap thickness, the high-density scrap to be judged is a high-density inclusion. The nozzle 6 is activated to make the high-density inclusion deviate from the free fall path and enter the waste bin 7.

[0062] If the thickness of the high-density scrap to be judged is greater than the set value of the scrap thickness, then the scrap is recycled after sorting and enters the collection bin 8 for collection.

[0063] In this embodiment, before the acquisition and transmission of the X-ray perspective image in step two, the X-ray generator 4-1 is adjusted to meet the sorting requirements. The specific process is as follows:

[0064] Step A: Tighten the adjusting nut 10-3 and ensure that the adjusting nut 10-3 is in contact with the end of the sleeve 10-2, thereby driving the threaded adjusting rod 10-4 to unscrew the sleeve 10-2, thereby driving the mounting plate 10-5, X-ray generator 4-1, and X-ray detector 4-2 to move closer to the process surface of the belt conveyor 3.

[0065] Step B: As the X-ray generator 4-1 and X-ray detector 4-2 on the mounting plate 10-5 move closer to the process surface of the belt conveyor 3, the distance sensor 10-6 detects the distance between the mounting plate 10-5 and the process surface of the belt conveyor 3 in real time to meet the sorting distance requirements.

[0066] In this embodiment, step 304 uses a computer to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray imaging. The specific process is as follows:

[0067] Step 3041: Use a computer to obtain the grayscale values ​​of each pixel in the j-th connected region of the chip from the X-ray perspective view and perform mean processing to obtain the mean grayscale value of the j-th connected region of the chip. ;

[0068] Step 3042: Use a computer to calculate the average gray value of the connected region of the j-th chip. With grayscale setting threshold ,when If the pixel value of the j-th connected region of the scrap meets the grayscale sorting requirements, proceed to steps 3043 and 3044; otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, proceed to step 305.

[0069] Step 3043: Use a computer to obtain the total number of pixels in the connected region of the j-th chip from the X-ray perspective view and record it as... ;

[0070] Step 3044: Use a computer to calculate the total number of pixels in the connected region of the j-th chip. Set a threshold with the number of pixels ,when If the pixel value of the j-th connected region of the scrap meets the area sorting requirements, then step 305 is executed. Otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, then step 305 is executed.

[0071] In this embodiment, it should be noted that the particle size of the crushed material is the maximum length of the crushed material.

[0072] In this embodiment, in actual use, the magnetic separator 5 can refer to a permanent magnet magnetic separator, or other magnetic separators that can achieve the same function.

[0073] In this embodiment, in actual use, the method for determining each connected region of the scrap in the X-ray fluoroscopy image is the same, and the determination of each connected region of the scrap is completed according to the method described in step 304.

[0074] In this embodiment, in actual use, a grayscale threshold is set. Setting a threshold for the number of pixels It can be set according to actual needs.

[0075] In this embodiment, in actual use, it is further preferred that titanium and titanium alloy scraps that meet the recycling requirements are pre-processed through steps one to 3041 to obtain the grayscale value of each pixel in the connected area of ​​each scrap, and the average grayscale value of each pixel in the connected area of ​​each scrap is used as the average value. Furthermore, the total number of pixels within each connected region of the chip is obtained, and the average number of pixels within each connected region of the chip is used as the threshold for the number of pixels. .

[0076] In this embodiment, it is further preferred that the thickness of the crushed scrap is [missing information]. ,and The value range is 0.5mm to 1.5mm.

[0077] In this embodiment, it is further preferred that the thickness of the scrap is set to a value of It can also be set according to actual needs.

[0078] In summary, the method of the present invention is simple in steps and reasonable in design. First, magnetic material inclusions are removed. Then, the grayscale and area of ​​the X-ray transmission image of titanium and titanium alloy scrap are judged. Furthermore, the thickness of the titanium and titanium alloy scrap is judged to eliminate the influence of scrap thickness, thereby removing high-density inclusions in the scrap and improving the quality of the sorted scrap.

[0079] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for high-density inclusion separation of recycled titanium and titanium alloy scrap, characterized in that, The method includes the following steps: Step 1: Crushing and magnetic separation of the scrap material: Step 101: Crush the titanium and titanium alloy scrap to be recycled to obtain crushed scrap; wherein the particle size of the crushed scrap is 2mm to 15mm. Step 102: The crushed material is fed into the vibrating feeder (2) through the hopper (1) and then conveyed by the belt conveyor (3); Step 103: During the conveying process of the crushed scrap through the belt conveyor (3), the magnetic separator (5) removes the magnetic material from the scrap to obtain the scrap to be identified; Step 2: Acquisition and transmission of X-ray perspective images: Step 201: As the scrap to be identified moves along the conveyor belt (3), the computer controls the X-ray generator (4-1) to emit X-rays to the scrap to be identified. The X-ray detector (4-2) receives and collects the X-rays passing through the scrap to be identified and sends them to the computer. The computer obtains the X-ray perspective view of the scrap to be identified; wherein, the X-ray perspective view is a grayscale image. Step 3: Processing X-ray perspective images and determining grayscale and area: Step 301: The computer performs Gaussian filtering on the X-ray perspective image to obtain the Gaussian-filtered X-ray perspective image. Step 302: The computer performs binarization processing on the Gaussian filtered X-ray perspective view to obtain a binarized image of the scrap material; Step 303: The computer uses a connected component labeling algorithm to label the connected components of the binarized image of the scrap material, resulting in multiple connected regions of the scrap material. Step 304: Use a computer to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray perspective image; where j is a positive integer. Step 305: If the connected area of ​​the jth chip does not meet the gray scale sorting requirements, then the jth chip corresponding to the connected area of ​​the jth chip is the high-density chip to be judged, and step four is executed; If the connected area of ​​the jth chip in the X-ray perspective image meets the gray scale sorting requirements, then the jth chip corresponding to the connected area of ​​the jth chip is the sorted and recycled chip, and enters the collection bucket (8) for collection. Step 4: Determining the thickness of the high-density scrap material to be judged: Step 401: As the high-density scrap to be judged continues to move along the conveyor belt (3), the computer controls the X-ray source (9) to emit X-rays to the high-density scrap to be judged, and the X-ray probe (10) obtains the X-ray transmission intensity through the high-density scrap to be judged and sends it to the computer. The computer obtains the thickness of the high-density scrap to be judged based on the incident intensity and X-ray transmission intensity of the X-ray source (9). Step 402: The computer compares the thickness of the high-density scrap to be judged with the set value of the scrap thickness. If the thickness of the high-density scrap to be judged is less than the set value of the scrap thickness, the high-density scrap to be judged is a high-density inclusion. The nozzle (6) is started to work so that the high-density inclusion deviates from the free fall path and enters the waste bin (7). If the thickness of the high-density scrap to be judged is greater than the set value of the scrap thickness, then the scrap is the scrap to be recycled after sorting and enters the collection bucket (8) for collection; In step 304, a computer is used to determine the grayscale and area of ​​the j-th connected region of the scrap in the X-ray imaging. The specific process is as follows: Step 3041: Use a computer to obtain the grayscale values ​​of each pixel in the j-th connected region of the chip from the X-ray perspective view and perform mean processing to obtain the mean grayscale value of the j-th connected region of the chip. ; Step 3042: Use a computer to calculate the average gray value of the connected region of the j-th chip. With grayscale setting threshold ,when If the pixel value of the j-th connected region of the scrap meets the grayscale sorting requirements, proceed to steps 3043 and 3044; otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, proceed to step 305. Step 3043: Use a computer to obtain the total number of pixels in the connected region of the j-th chip from the X-ray perspective view and record it as... ; Step 3044: Use a computer to calculate the total number of pixels in the connected region of the j-th chip. Set a threshold with the number of pixels ,when If the pixel value of the j-th connected region of the scrap meets the area sorting requirements, then step 305 is executed. Otherwise, if the pixel value of the j-th connected region of the scrap does not meet the sorting requirements, then step 305 is executed.

2. The method for high-density inclusion separation of recycled titanium and titanium alloy scrap according to claim 1, characterized in that: Before acquiring and transmitting the X-ray perspective image in step two, adjust the X-ray generator (4-1) to meet the sorting requirements. The specific process is as follows: Step A: Tighten the adjusting nut (10-3) and ensure that the adjusting nut (10-3) is in contact with the end of the sleeve (10-2), thereby driving the threaded adjusting rod (10-4) to unscrew the sleeve (10-2), thereby driving the mounting plate (10-5), X-ray generator (4-1) and X-ray detector (4-2) to move closer to the process surface of the belt conveyor (3); Step B: As the X-ray generator (4-1) and X-ray detector (4-2) on the mounting plate (10-5) move closer to the process surface of the belt conveyor (3), the distance sensor (10-6) detects the distance between the mounting plate (10-5) and the process surface of the belt conveyor (3) in real time to meet the sorting distance requirements.

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