Titanium product processing method

Abstract

The invention provides a titanium product machining method. The method comprises the steps that S1, a plate is cleaned and then blanked, and a titanium product blank is obtained; s2, visual identification burr detection and preliminary directional grinding; s3, magnetic rough polishing; s4, titanium wire wheel polishing is conducted, specifically, the blank obtained after rough polishing is washed with clear water and then dried, the blank is fixed to a polishing machine clamp, a pure titanium wire wheel is adopted for polishing and dry polishing, and a polishing agent is not added; s5, magnetic fine polishing; s6, punching a cotton bag: washing and drying the finely polished blank, wrapping the blank with the cotton bag, and punching the to-be-punched part of the blank in a low-speed punching manner; and S7, inspecting and packaging a finished product. According to the characteristics that titanium metal is tough in texture and needs to retain the primary color, a traditional stainless steel machining technology is abandoned, abrasive belt polishing is replaced with visual identification directional grinding and magnetic polishing, sparks are avoided, and potential safety hazards are eliminated; meanwhile, the problems that the titanium plate has many burrs and is difficult to polish are solved, and the machining efficiency and safety are improved.

Description

Technical Field

[0001] This invention relates to the field of hardware product processing technology, specifically to a method for processing titanium products. Background Technology

[0002] Currently, most hardware tableware and kitchen utensils on the market are made of stainless steel. Although stainless steel is low in cost and has mature processing technology, it has the problems of being heavy and having high thermal conductivity. During use, the high thermal conductivity can easily cause the grip area to get hot, resulting in burns to the user and affecting the user experience.

[0003] Titanium is lightweight, sturdy, chemically stable, and has poor thermal conductivity, making it ideal for hardware tableware and kitchenware where rapid heat conduction is not required. Therefore, using titanium instead of stainless steel in hardware tableware and kitchenware can significantly improve the user experience and quality. However, titanium is tough, and its processing technology differs significantly from stainless steel. Directly using stainless steel processing techniques will lead to several problems: for example, titanium sheets produce far more burrs on the edges during stamping and cutting than stainless steel. Direct polishing would be difficult, inefficient, and uneconomical. Traditional stainless steel processing uses belt polishing to remove burrs, which generates sparks and poses safety hazards, making it unsuitable for the processing requirements of titanium products. Furthermore, current titanium surface treatments often involve crystallization and sandblasting, but these methods cannot preserve the original color of titanium, failing to meet the clean appearance requirements of hardware tableware and kitchenware.

[0004] Therefore, given the characteristics of titanium and the product demands of metal tableware and kitchenware, there is an urgent need for a processing method suitable for titanium products (tableware and kitchenware) to solve the problems mentioned above in the processing process, achieve efficient and safe processing of titanium products, and preserve the original color of titanium. Summary of the Invention

[0005] The purpose of this invention is to provide a method for processing titanium products that does not have at least one of the disadvantages mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for processing titanium products, comprising the following steps: S1: Pre-treatment, the titanium product blank is obtained by cleaning the sheet metal and then punching it; S2: Visual recognition burr detection and preliminary directional grinding: The blank is scanned by a visual recognition scanning device, and the burr distribution is captured by the curve array scanning frame and several high-density areas with burr density M1 greater than the threshold are identified. The high-density areas are then ground by the grinding head in a direction that is tangential to the edge of the blank and does not contact the surface of the blank. The scanning frame uses several arc parts with curvature greater than a preset value in the outline of the billet as reference points, and the scanning frames between two adjacent reference points are equidistantly distributed along the outline of the billet. S3: Magnetic coarse polishing: The blank is placed in a magnetic polishing machine and coarsely polished with a magnetic steel rod, ceramic abrasive and polishing liquid; S4: Titanium wire wheel polishing: After rinsing the rough polished blank with clean water and drying it, fix the blank on the polishing machine fixture and use pure titanium wire wheel for dry polishing without adding polishing agent; S5: Magnetic Fine Polishing: Place the workpiece into a magnetic polishing machine and use magnetic steel rods, nylon abrasives and polishing fluid for fine polishing; S6: Cotton bag punching: After rinsing and drying the polished blank, wrap the blank in a cotton bag and punch the part of the blank to be punched using a low-speed punching method. S7: Finished product inspection and packaging.

[0007] Furthermore, in step S2, the pressure exerted by the grinding head on the edge of the blank is preset to the standard extrusion pressure F0. After grinding, the scanning frame detects the burr density M2 in several high-density areas, and calculates the burr peeling difficulty coefficient G=N2 / N1 based on the average value N2 of several M2 and the average value N1 of M1. In step S3, the magnetic polishing machine dynamically adjusts the polishing speed and polishing time according to the peeling difficulty coefficient G.

[0008] Furthermore, in step S3, the magnetic polishing machine is preset with a standard polishing time T0 corresponding to the standard value G0 when the difficulty coefficient of burr removal is the standard value. In the actual polishing process, the magnetic polishing machine calculates the actual polishing time T1=a*T0*G / G0 based on T0 and G, where a is an adjustment coefficient.

[0009] Furthermore, in step S3, after obtaining a number of burr densities M2, the burr uniformity index Z is calculated using a number of burr densities M1 that are less than a threshold and a number of M2. The magnetic polishing machine is preset with a standard polishing time T0 corresponding to the standard value Z0 when the burr uniformity index is the standard value. In the actual polishing process, the magnetic polishing machine calculates the actual polishing time T2=b*T0*(k1*Z / Z0+k2*G / G0) based on T0, Z0, G and G0, where b is the adjustment coefficient, k1 and k2 are weighting coefficients, and k1+k2=1.

[0010] Furthermore, in step S3, the magnitudes of k1 and k2 are proportional to the magnitudes of Z / Z0 and G / G0, that is, when Z / Z0>G / G0, k1>k2.

[0011] Further, in step S3, the burr uniformity index Z = σ / M3; where σ is the standard value corresponding to a number of M1s less than the threshold and a number of M2s, and M3 is the average value corresponding to a number of M1s less than the threshold and a number of M2s.

[0012] Further, in step S3, the magnetic force polishing machine presets a standard polishing speed V0 corresponding to a standard value G0 of the burr stripping difficulty coefficient, and during the actual polishing process, the magnetic force polishing machine calculates the polishing speed V1 = c*V0*G / G0 according to V0 and G, where c is an adjustment coefficient.

[0013] Further, in step S3, the magnetic force polishing machine calculates the actual polishing speed V2 = V1*f(Z) according to V1 and Z, where when Z ≤ 0.1, f(Z) = 1; when 0.1 < Z ≤ 0.5, f(Z) = 1 - (10*Z - 1) / 8; when 0.5 < Z ≤ 1, f(Z) = 0.5 - (10*Z - 5) / 20; when 1 < Z, f(Z) = 0.25.

[0014] Further, in step S2, the standard array density L0 of the scanning frame corresponding to the standard mean value N0 of a number of M2s is preset, and the visual recognition scanning device calculates the actual standard array density L1 = d*L0*N2 / N0 of the scanning frame according to N0, L0 and N2, where d is an adjustment coefficient.

[0015] Further, the scanning frame is square, the end parts of the outer contour line of the sheet material located inside the scanning frame are respectively located at the end points of the scanning frame side lines, and the midpoints on the adjacent scanning frame side lines coincide.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. In view of the characteristics that titanium metal is tough in texture and needs to retain its original color, the present invention abandons the traditional stainless steel processing technology, and replaces the sand belt polishing with visual recognition directional grinding and magnetic force polishing, avoiding the generation of sparks and eliminating potential safety hazards; at the same time, it solves the problems of many burrs and difficult polishing of titanium plates, and improves the processing efficiency and safety.

[0017] 2. Adopting processes such as dry polishing with pure titanium wire wheels and punching with cotton bags, it avoids damage to the surface of titanium metal by chemical substances and the processing process, can completely retain the original color and metallic luster of titanium metal itself, and meets the demand for a clean appearance of hardware tableware and kitchen utensils; at the same time, through multiple polishing processes, the surface finish of the product is improved, and the use experience is improved.

[0018] 3. By calculating the burr removal difficulty coefficient G and the burr uniformity index Z, the polishing speed, polishing time and scanning frame array density are dynamically adjusted to adapt the processing parameters to the actual burr distribution, avoid over-polishing or incomplete polishing, and ensure that the precision and quality of batch-processed titanium products are consistent. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the processing technology in this invention; Figure 2 This is a schematic diagram of the overall structure of a stamped kitchen utensil. Detailed Implementation

[0021] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structure, features and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0022] Currently, most hardware tableware and kitchen utensils on the market are made of stainless steel. Although stainless steel is low in cost and has mature processing technology, it has the problems of being heavy and having high thermal conductivity. During use, the high thermal conductivity can easily cause the grip area to get hot, resulting in burns to the user and affecting the user experience.

[0023] Titanium is lightweight, sturdy, chemically stable, and has poor thermal conductivity, making it ideal for hardware tableware and kitchenware where rapid heat conduction is not required. Therefore, using titanium instead of stainless steel in hardware tableware and kitchenware can significantly improve the user experience and quality of the products. For example, titanium spatulas can replace stainless steel spatulas. However, due to titanium's toughness, its processing technology differs significantly from stainless steel. Directly using stainless steel processing techniques will lead to several problems: for instance, titanium sheets produce far more burrs on the edges during stamping and cutting than stainless steel. Direct polishing would be difficult, inefficient, and uneconomical. Traditional stainless steel processing uses abrasive belt polishing to remove burrs, which generates sparks and poses a safety hazard, making it unsuitable for the processing requirements of titanium products. Furthermore, current titanium surface treatments often employ crystallization and sandblasting, but these methods cannot preserve the original color of titanium, failing to meet the clean appearance requirements of hardware tableware and kitchenware.

[0024] Based on the above issues, please refer to Figures 1-2A method for processing titanium products includes the following steps: S1: After cleaning the sheet metal, the titanium product blank is punched out. Specifically, the surface of the titanium sheet metal is first rinsed with clean water to remove dust, oil, and other impurities. For stubborn oil stains, a small amount of neutral detergent can be added to assist in rinsing. After rinsing, the sheet metal is air-dried or dried at a low temperature (to prevent the surface of the titanium sheet metal from oxidizing and discoloring due to high temperature). This is to prevent impurities from embedding into the surface of the titanium metal during subsequent grinding and polishing processes, which would affect the processing accuracy and surface quality. At the same time, it is to prevent impurities from reacting chemically with the titanium metal, thus ensuring the chemical stability of the titanium product. After the sheet metal is completely dry, the blanking operation is carried out using a stamping equipment. The stamping pressure of the stamping equipment is dynamically adjusted according to the thickness of the titanium sheet metal to ensure that the shape of the blank meets the initial processing requirements.

[0025] S2: Visual recognition burr detection and preliminary directional grinding: The blank is scanned using a visual recognition scanning device equipped with an industrial CCD camera and a laser positioning module to perform a full-range scan of the blank surface. During the scanning process, the distribution of burrs on the blank surface and edges is captured by a curved array scanning frame. The array pattern of the scanning frame is perfectly matched to the outline of the blank. The scanned image is processed by common image recognition algorithms to identify several high-density areas where the burr density M1 is greater than the threshold. The burr density threshold is set according to the surface precision grade of the titanium product (the threshold is high for ordinary titanium tableware and low for high precision). High-density areas are where burrs are concentrated and require focused polishing, usually concentrated at blank cutting edges, corners, and other locations. The polishing operation uses CNC polishing equipment equipped with an adjustable-angle polishing head. The movement trajectory of the polishing head is controlled by the CNC system (which can be preset). The high-density areas are polished in a direction tangential to the blank edge without contacting the blank surface. At this time, the polishing head is at a 45° angle to the blank surface, ensuring that the polishing head only acts on the burr area and does not touch the blank surface. Therefore, this invention can remove most of the stubborn burrs in advance by targeted polishing of areas with high curvature and dense burrs, greatly reducing the burden of subsequent magnetic polishing. At the same time, it effectively reduces the unevenness of burrs on the entire blank surface, avoiding the problem of incomplete polishing and insufficient surface flatness caused by excessively dense burrs in local areas (areas with high curvature). This improves the quality and efficiency of subsequent magnetic polishing and ensures consistent surface quality of titanium products. The scanning frame uses several arc sections with curvature greater than a preset value in the outline of the blank as reference points. The preset curvature value can be set according to the complexity of the blank shape. The scanning frames between two adjacent reference points are equidistantly distributed along the outline of the blank to improve the accuracy of scanning and provide accurate data support for subsequent polishing operations. The setting of the curve array scanning frame is adapted to the irregular shape of titanium product blanks (such as the curved edge of tableware and the corner of kitchenware). The reference points are selected from the arc sections with larger curvature to ensure that the burr density at the location with larger curvature can be accurately evaluated. Since the location with larger curvature is more likely to produce burrs, it is used as a reference point. First, it can ensure the accuracy of the data at this location. Second, there are more burrs at this location, which can fully reflect the overall performance status of the burrs.

[0026] S3: Magnetic Rough Polishing: The pre-polished blank is placed into a magnetic polishing machine, and a magnetic steel rod, ceramic abrasive, and polishing fluid are added to the polishing machine. In an optional embodiment, the ceramic abrasive is made of alumina ceramic material, and the abrasive is spherical with moderate hardness, which can effectively remove burrs without causing deep scratches on the titanium metal surface. The purpose of rough polishing is to remove the residual burrs of the blank after the initial polishing, and at the same time to preliminarily repair the surface of the blank, preparing it for the subsequent fine polishing process. Compared with the traditional stainless steel processing using abrasive belt polishing, magnetic polishing produces no sparks, eliminating the safety hazards caused by abrasive belt polishing. Moreover, the grinding method of magnetic polishing is gentler and suitable for the tough and easily scratched characteristics of titanium metal, which can effectively protect the integrity of the blank surface.

[0027] S4: After the magnetic rough polishing is completed, the surface of the blank is first rinsed with clean water to remove the ceramic abrasive debris and polishing liquid residue attached to the surface, so as to avoid the residual impurities affecting the subsequent polishing effect. After rinsing, the blank is placed in a drying equipment to dry at low temperature to ensure that the surface of the blank is completely dry and free of moisture. Then, the dried blank is fixed on the special fixture of the polishing machine. The fixture is made of soft rubber material and the surface is covered with a layer of pure cotton padding. The clamping force of the fixture is adjustable to avoid excessive clamping force from damaging the surface of the blank, while ensuring that the blank does not shift during the polishing process. The polishing process uses pure titanium wire wheels for dry polishing without adding polishing agents. The pure titanium material is consistent with the titanium billet material, with a high degree of matching hardness and toughness. It will not produce scratches during polishing, effectively protecting the integrity of the titanium metal surface. During the dry polishing process, the polishing trajectory adopts a cross polishing method to ensure that all parts of the billet surface are polished evenly, thereby further improving the surface smoothness of the billet. Moreover, since no polishing agents are added, the chemical components in the polishing agents can be avoided from reacting with the titanium metal and destroying the original color of the titanium metal, thus fully preserving the natural metallic luster of the titanium metal.

[0028] S5: After dry polishing with titanium wire wheels, the billet is placed again in a magnetic polishing machine for fine polishing. The magnetic polishing machine used for fine polishing is the same as the rough polishing equipment, but the polishing parameters and consumables are adjusted accordingly. During fine polishing, nylon abrasive is used. Nylon abrasive is soft, smooth, and has a fine particle size, which can effectively remove the fine traces and surface scratches left after titanium wire wheel polishing without causing new damage to the billet surface. Neutral polishing fluid is used to ensure that the titanium metal surface is not corroded, while enhancing the grinding effect of nylon abrasive. During the fine polishing process, a low-speed, long-time grinding method is used to ensure that the billet surface is polished evenly and finely. The purpose of fine polishing is to further optimize the surface quality of the billet, remove the fine traces and micro-protrusions left after titanium wire wheel polishing, and make the billet surface achieve the required smoothness, thereby improving the appearance quality of titanium products.

[0029] S6: After magnetic polishing, the blank surface is first rinsed with clean water to remove nylon abrasive debris and polishing fluid residue. After rinsing, it is placed in a drying device for low-temperature drying to ensure that the blank surface is completely dry and free of moisture and impurities. Then, the blank is completely wrapped in a pure cotton bag. The pure cotton bag is soft and breathable. The bag must fit tightly against the blank surface, especially the smooth surface after polishing. Wrinkles should be avoided during the wrapping process to prevent scratches on the blank surface during the stamping process. After the cotton bag is in place, the blank is placed in a low-speed stamping device to perform the stamping operation on the blank part to be stamped, thereby avoiding burrs and scratches on the blank surface. The stamping pressure can be dynamically adjusted according to the blank thickness and the complexity of the stamping. Therefore, the stamping process of using a cotton bag in this invention can effectively protect the polished layer on the blank surface, avoid direct contact between the mold and the blank during the stamping process, prevent scratches and burrs, and further ensure that the surface quality and the original color of titanium metal after polishing are not damaged.

[0030] S7: Finished Product Inspection and Packaging. After the cotton bag punching is completed, the pure cotton bag on the surface of the blank is removed. The titanium products after the cotton bag punching are then inspected. The inspection adopts a combination of manual inspection and instrument testing to ensure that the inspection results are accurate and reliable. The inspection items mainly include surface roughness, dimensions, burr residue, surface color, chemical stability, etc. For products that fail the inspection, rework is required according to the reasons for failure (e.g., burr residue needs to be re-polished, dimensional deviation needs to be re-punched). After rework, the products need to be inspected again until they pass. Qualified products can then be individually packaged.

[0031] To further improve the processing precision, efficiency, and quality consistency of titanium products in mass production, and to avoid the problem that fixed polishing and scanning parameters in the technical solution cannot adapt to the differences in burr distribution of different blanks, this invention, based on the above technical solution and combined with the processing characteristics of titanium metal and actual production experience, further optimizes and refines the parameter adjustment logic of each key process. The specific optimization scheme is as follows: Due to variations in the blanking process and the different impurity content of the sheet metal, some blanks have stronger adhesion and are more stubborn burrs, while others have relatively loose burrs that are easy to peel off. Fixed polishing parameters cannot adapt to this difference. Either the polishing time is insufficient or the polishing speed is too slow, resulting in stubborn burrs that cannot be completely removed. The residual burrs will affect the effect of subsequent titanium wire wheel polishing and magnetic fine polishing, ultimately leading to burr defects on the finished product surface. Or the polishing time is too long or the polishing speed is too fast, causing excessive wear on the titanium metal surface. This not only wastes energy but may also scratch the titanium metal surface, destroying the original color and texture of the titanium metal, seriously affecting processing accuracy and production efficiency, and increasing rework costs in subsequent processes. To address this issue, in one embodiment of the present invention, in step S2, a standard extrusion force F0 of the grinding head on the edge of the blank is preset to ensure the consistency of the grinding force. This avoids the problem of lack of a benchmark for subsequent calculations due to inconsistent grinding forces between different operators and different processing batches. After the grinding operation is completed, a second inspection is performed on the original high-density burr area to obtain the burr density M2 of each area. By calculating the arithmetic mean N2 of the burr density M2 after grinding and the arithmetic mean N1 of the burr density M1 of the area before grinding, the burr removal difficulty coefficient G=N2 / N1 is calculated to measure the stubbornness of the burrs. In step S3, the magnetic polishing machine receives the value of the burr removal difficulty coefficient G in real time and dynamically adjusts the polishing speed and polishing time according to the magnitude of G to achieve accurate matching between the polishing parameters and the stubbornness of the burrs.

[0032] Among them, M1 reflects the density of burrs in the area before polishing. The larger the M1 value, the more burrs there are in the area before polishing. N1 is calculated by adding the M1 values ​​of all selected high-density burr areas and then dividing by the total number of high-density areas. It comprehensively reflects the overall burr distribution level and density of the billet before polishing. The larger the N1 value, the more burrs there are in the billet before polishing. M2 is the ratio of the number of burrs to the area area obtained by scanning the same area twice after polishing. The smaller the M2 value, the fewer burrs there are in the area after polishing. N2 is the arithmetic mean of M2 of all high-density burr areas after polishing. The calculation method is the same as N1, that is, adding the M2 values ​​of all corresponding detection areas and then dividing by the total number of areas. It comprehensively reflects the overall burr distribution level and density of the billet after polishing. The smaller the N2 value, the fewer burrs there are in the billet after polishing. The difficulty coefficient for burr removal is G=N2 / N1. Its value directly corresponds to the stubbornness of the burr. The larger the G value, the smaller the difference in burr density before and after polishing, and the more difficult and stubborn the burr is to remove. The smaller the G value, the larger the difference in burr density before and after polishing, and the easier and less stubborn the burr is to remove. The standard extrusion pressure F0 can be determined through testing and optimized, and can be finely adjusted according to the thickness of the sheet. The thicker the sheet, the larger the value of F0 can be, and the thinner the sheet, the smaller the value of F0 needs to be, to ensure that the grinding force is matched with the sheet thickness. Therefore, when N1 remains unchanged, an increase in N2 (more burrs remain after grinding) will lead to a synchronous increase in G, indicating that the stubbornness of the burrs has increased. At this time, the magnetic polishing machine needs to increase the polishing speed and extend the polishing time to accurately and thoroughly remove the burrs. Conversely, a decrease in G (burrs are easier to peel off and remove more thoroughly) will result in a synchronous decrease in polishing speed and polishing time to save energy and protect the titanium metal surface. Therefore, this embodiment firstly measures the grinding effect and the degree of burr stubbornness, avoiding errors caused by operators relying on experience, and achieving standardized and objective evaluation of the grinding effect; secondly, it realizes the dynamic adaptive adjustment of magnetic rough polishing parameters, solving the problem that fixed polishing parameters cannot adapt to the differences in the degree of burr stubbornness of different blanks, and avoiding the two situations of incomplete polishing or over-polishing; thirdly, it improves the processing effect and production efficiency of the magnetic rough polishing process, reduces energy waste and rework costs, and at the same time protects the original color texture of the titanium metal surface, further ensuring the surface quality and processing consistency of titanium products, laying the foundation for subsequent titanium wire wheel polishing and magnetic fine polishing processes.

[0033] Regarding the polishing time in the above scheme, in one embodiment of the present invention, the magnetic polishing machine in step S3 is preset with a standard polishing time T0 corresponding to the standard value G0 when the difficulty coefficient of burr removal is G0. In the actual polishing process, the magnetic polishing machine calculates the actual polishing time T1=a*T0*G / G0 based on T0 and G, where a is an adjustment coefficient; where G0 is the standard value of burr stubbornness under normal working conditions, and T0 is the optimal reference time under this standard stubbornness to achieve complete burr removal without causing excessive surface wear. The matching relationship between the two has been verified by experiments to ensure the reliability of the reference parameters. The adjustment coefficient a takes into account that in the actual processing process, in addition to the burr stubbornness, factors such as the purity of the titanium plate, the initial surface roughness, the ambient temperature, and the degree of polishing medium wear will also have a slight impact on the polishing effect. The adjustment coefficient a can be flexibly fine-tuned according to these actual working conditions to make up for the limitations of the standard parameters, ensure the accuracy of the actual polishing time, and adapt to the needs of different processing scenarios. Among them, T1 is the final execution time of the magnetic rough polishing process. Its value accurately corresponds to the actual processing conditions, ensuring that the polishing time of each batch of billets can be adapted to the stubbornness of burrs and the actual processing requirements. 'a' serves as an adjustment coefficient, which can compensate for the deviation between the standard parameters and the actual processing conditions. Specifically, when the titanium plate has low purity, high initial surface roughness, or low ambient temperature and severe polishing media wear, the value of 'a' can be appropriately increased to extend the actual polishing time and ensure the polishing effect. When the titanium plate has high purity, low initial surface roughness, or suitable ambient temperature and good polishing media condition, the value of 'a' can be appropriately decreased to shorten the actual polishing time, save energy, and improve efficiency. The value of T0 is closely related to the billet size and surface area. The smaller the billet size and surface area, the smaller the value of T0; the larger the billet size and surface area, the larger the value of T0. This ensures the compatibility between the reference time and the billet specifications, avoiding unreasonable reference times due to differences in billet specifications.

[0034] Therefore, in this embodiment, with T0, a, and G0 remaining constant, increasing G (resulting in more stubborn burrs and less thorough removal) will simultaneously increase T1, thereby extending the polishing time and improving burr removal efficiency to ensure complete removal of stubborn burrs; conversely, decreasing G (resulting in easier burr removal and more thorough removal) will simultaneously decrease T1, avoiding over-polishing, saving energy, and protecting the titanium surface. This achieves accurate measurement and adjustment of the magnetic coarse polishing time, ensuring thorough removal of stubborn burrs and avoiding problems such as burr residue and product defects caused by insufficient polishing time, while also avoiding drawbacks such as excessive wear on the titanium surface, increased energy consumption, and reduced efficiency caused by excessive polishing time, thus achieving a balance between polishing effect and processing efficiency.

[0035] In actual processing, even if different billets have the same degree of burr stubbornness (i.e., the same G-value), their burr distribution may vary significantly. Some billets have a relatively uniform burr distribution with small differences in burr density across different areas, while others exhibit uneven burr distribution, with some areas having dense burrs and others sparse burrs. This uneven burr distribution means that the polishing time calculated solely based on the G-value cannot meet the processing needs of different areas of the billet. On the one hand, for areas with abnormally dense burrs, the preset polishing time will be insufficient, resulting in the inability to completely remove stubborn burrs. The remaining burrs will affect the subsequent titanium wire wheel polishing and magnetic fine polishing, ultimately leading to burr defects and substandard surface finish on the finished product. On the other hand, for areas with sparse burrs, the preset polishing time will be too long, causing excessive wear on the titanium surface in those areas. This not only wastes energy and polishing media but may also scratch the titanium surface, damaging its original color and texture, resulting in localized scratches, color differences, and other problems.

[0036] Based on this, in step S3 (magnetic rough polishing), firstly, several burr density data of the low burr area (i.e., the area where M1 < preset threshold) before polishing are integrated, as well as several burr density data of the original high burr density area after polishing (i.e., several M2). The burr uniformity index Z is calculated from these data to measure the uniformity of burr distribution on the surface of the blank. At the same time, the standard polishing time T0 corresponding to the burr uniformity index Z being equal to the standard value Z0 is preset. Therefore, in the actual processing, the actual polishing time T2 is calculated by combining the actual burr removal difficulty coefficient G, the adjustment coefficient b, and the weighting coefficients k1 and k2, using the formula T2=b*T0*(k1*Z / Z0+k2*G / G0). Here, b is the adjustment coefficient, used to compensate for slight deviations between the standard parameters and the actual processing conditions. k1 and k2 are weighting coefficients, and always satisfy k1+k2=1, used to balance the influence weights of burr distribution uniformity Z and burr stubbornness G on the actual polishing time T2, ensuring that both are reasonably considered.

[0037] First, the burr uniformity index Z integrates burr density data from low-burr areas and high-density areas after polishing, covering the burr distribution across all areas of the billet. This avoids measurement bias caused by incomplete data and ensures accurate measurement of burr distribution. Second, a two-factor weighted evaluation method combining stubbornness and uniformity is established. Using the standard polishing time T0 as a benchmark, Z / Z0 measures the deviation between the actual burr distribution uniformity and the standard uniformity, while G / G0 measures the deviation between the actual burr stubbornness and the standard stubbornness. Weighting coefficients k1 and k2 balance the influence of both factors, ensuring that Z has a higher weight when burr distribution uniformity has a more significant impact, and G has a higher weight when burr stubbornness has a more significant impact. This achieves a balanced evaluation of polishing time and uniformity. Accurate linkage of key factors; finally, an adjustment coefficient b is introduced to fully consider that, in addition to the stubbornness and uniformity of burrs, factors such as the purity of the titanium sheet, the initial surface roughness, the ambient temperature, and the degree of polishing medium wear will also have a subtle impact on the polishing effect. The adjustment coefficient b can be flexibly fine-tuned according to these actual working conditions to make up for the limitations of standard parameters. Specifically, when the purity of the titanium sheet is low, the initial surface roughness is high, or the ambient temperature is low and the polishing medium wear is severe, the value of b can be appropriately increased to extend the actual polishing time T2 and ensure the polishing effect; when the purity of the titanium sheet is high, the initial surface roughness is low, or the ambient temperature is suitable and the polishing medium is in good condition, the value of b can be appropriately decreased to shorten the actual polishing time T2, save energy and improve processing efficiency. Compared to T1, T2 has stronger adaptability and higher accuracy, effectively avoiding local polishing problems. It can be flexibly adjusted according to the blank size, burr stubbornness, and burr distribution uniformity. The burr uniformity index Z is used to accurately measure the uniformity of burr distribution on the blank surface. Its value is negatively correlated with the burr distribution uniformity. That is, the smaller Z is, the smaller the difference in burr density in different areas of the blank surface, and the more uniform the burr distribution. The larger Z is, the greater the difference in burr density in different areas, and the more uneven the burr distribution. The standard value of the burr uniformity index Z0 corresponds to the burr distribution uniformity level under normal working conditions (medium purity titanium plate, stable punching process, and good grinding effect). After experimental verification, this standard value can cover most conventional processing scenarios, ensuring the universality and reliability of the benchmark parameters. In an optional embodiment, the burr uniformity index Z = σ / M3, where σ is the standard deviation of several M1 < thresholds and several M2, and M3 is the average value of the corresponding data. Therefore, the Z-value is based on the burr density of several low-burr areas and high-density areas after polishing. First, the standard deviation σ is calculated to reflect the data dispersion (i.e., the difference in burr distribution). Then, the average value M3 is calculated to reflect the overall burr level. The ratio of the two measures the uniformity of burr distribution. Specifically, the standard deviation σ reflects the dispersion of the data set consisting of the low-burr area M1 before polishing and the high-density area M2 after polishing; the greater the dispersion, the greater the difference in burr density between the areas. M3 is the arithmetic mean, reflecting the overall burr density level of the above data set. At this point, Z is positively correlated with σ and negatively correlated with M3. When σ increases (the data dispersion increases and the difference in burr density between regions increases), Z increases synchronously when M3 remains unchanged. When M3 increases (the overall burr density increases), Z decreases synchronously when σ remains unchanged. When σ increases and M3 decreases, Z increases significantly (double positive influence), indicating that the burrs are "few overall but extremely dense locally" and the uniformity is extremely poor. When σ decreases and M3 increases, Z decreases significantly (double negative influence), indicating that the burrs are "many overall but evenly distributed" and the uniformity is extremely good. When Z increases (the uniformity deteriorates), T2 increases synchronously, and when Z decreases (the uniformity improves), T2 decreases synchronously.

[0038] The weighting coefficients k1 and k2 always satisfy k1 + k2 = 1, and there are differences in weight distribution. The core function is to distribute the influence weights of the burr distribution uniformity Z and the burr stubbornness G on the actual polishing duration T2. Among them, k1 is the weighting coefficient of the burr distribution uniformity Z. The larger k1 is, the higher the influence weight of Z on T2, and the adjustment of the polishing duration is more inclined to adapt to the burr distribution uniformity. k2 is the weighting coefficient of the burr stubbornness G. The larger k2 is, the higher the influence weight of G on T2, and the adjustment of the polishing duration is more inclined to adapt to the burr stubbornness. The weight distribution of the two can be flexibly adjusted according to the actual processing conditions. Specifically, the weighting coefficients are dynamically adjusted according to the ratio of Z / Z0 to G / G0. When the influence of uneven burr distribution is greater than the burr stubbornness, the weight of k1 is increased and the weight of k2 is decreased, and the adjustment of the polishing duration focuses on the uniformity. Otherwise, the weight of k2 is increased, focusing on the stubbornness, to achieve dynamic adaptation of the weights. Among them, Z / Z0 is the ratio of the actual burr uniformity to the standard uniformity. The larger the ratio, the more uneven the burr distribution, and thus the greater the impact on the polishing effect. G / G0 is the ratio of the actual burr stubbornness to the standard stubbornness. The larger the ratio, the more stubborn the burr, and thus the greater the impact on the polishing effect. Therefore, when Z / Z0 increases (the influence of uneven burr distribution increases), k1 increases synchronously and k2 decreases synchronously; when G / G0 increases (the influence of burr stubbornness increases), k2 increases synchronously and k1 decreases synchronously. And when Z / Z0 > G / G0, k1 > k2, and the adjustment of T2 is more inclined to the influence of Z. When Z increases, the increase amplitude of T2 is more obvious. When Z / Z0 < G / G0, k1 < k2, and the adjustment of T2 is more inclined to the influence of G. When G increases, the increase amplitude of T2 is more obvious. When Z / Z0 = G / G0, k1 = k2 = 0.5, and the influence weights of the two on T2 are equal. This further improves the accuracy of the polishing duration, ensures that blanks with different burr distribution states and different stubbornness can achieve the same polishing effect, and improves the flexibility and adaptability of processing.

[0039] The remaining parameters T0, G, G0, M1, and M2 are completely consistent with the definitions above. The optimized actual polishing time T2 is positively correlated with the burr distribution uniformity index Z, the burr removal difficulty coefficient G, the standard polishing time T0, and the adjustment coefficient b, and negatively correlated with the standard values ​​of the burr uniformity index Z0 and the burr removal difficulty coefficient G0. With G, T0, b, Z0, G0, k1, and k2 remaining constant, as Z increases (the more uneven the burr distribution, the greater the difference in burr density across regions), T2 will increase accordingly. By extending the polishing time, it ensures that densely burr areas are thoroughly polished. To remove burrs, avoid insufficient polishing in certain areas. As Z decreases (the more uniform the burr distribution and the smaller the difference in burr density in different areas), T2 will decrease accordingly, avoiding over-polishing in sparse burr areas, saving energy and protecting the titanium metal surface. With Z, T0, b, Z0, G0, k1, and k2 remaining constant, as G increases (burrs become more stubborn and less thoroughly removed), T2 will increase accordingly, consistent with the logic of G's influence on T1 mentioned earlier, ensuring that stubborn burrs can be completely removed. As G decreases (burrs are easier to peel off and more thoroughly removed), T2 will decrease accordingly, avoiding over-polishing and balancing polishing effect and processing efficiency.

[0040] Furthermore, while changes in weighting coefficients k1 and k2 do not directly alter the numerical range of T2, they do affect the adjustment bias of T2: When k1 increases, k2 decreases simultaneously (because k1 + k2 = 1). In this case, the weight of Z's influence on T2 increases, while the weight of G's influence on T2 decreases. When Z increases, the increase in T2 will be more pronounced, while when G increases, the increase in T2 will be more gradual, adapting to working conditions where the uniformity of burr distribution has a more significant impact. Conversely, when k2 increases, k1 decreases simultaneously. In this case, the weight of G's influence on T2 increases, while the weight of Z's influence on T2 decreases. When G increases, the increase in T2 will be more pronounced, while when Z increases, the increase in T2 will be more gradual, adapting to working conditions where the persistence of burrs has a more significant impact.

[0041] Therefore, this invention eliminates the problem of poor polishing time adaptability caused by only considering the stubbornness of burrs without taking into account the uniformity of burr distribution. It allows the actual polishing time to adapt to both key factors of burr stubbornness and distribution uniformity, effectively avoiding the problems of insufficient or excessive polishing in certain areas. At the same time, by introducing weighting coefficients and adjustment coefficients, the adaptability and accuracy of polishing time are improved, ensuring that blanks with different burr distribution states and different stubbornness can obtain the optimal polishing time, achieving consistent polishing results. It also avoids the surface wear and resource waste of titanium metal caused by over-polishing, protects the original color and texture of titanium metal, and further improves the appearance quality and product competitiveness of titanium products.

[0042] Furthermore, in step S3, a standard polishing speed V0 is pre-set when the burr removal difficulty coefficient G equals the standard value G0, serving as the benchmark for polishing speed adjustment. During actual processing, based on the actual burr removal difficulty coefficient G and the adjustment coefficient c, the actual polishing speed V1 in step S3 is calculated using the formula V1=c*V0*G / G0, where c is the adjustment coefficient used to compensate for minor deviations between the standard parameters and actual processing conditions, adapting to individual working conditions such as titanium plate thickness and initial surface roughness, ensuring the flexibility and accuracy of polishing speed adjustment, and achieving a balance between standardization and personalization. Specifically, when the titanium plate thickness is large, the initial surface roughness is high, or the ambient temperature is low and the polishing medium is severely worn, the value of c can be appropriately increased to slightly increase the actual polishing speed V1, ensuring efficient burr removal. When the titanium plate thickness is small, the initial surface roughness is low, or the ambient temperature is suitable and the polishing medium is in good condition, the value of c can be appropriately decreased to slightly reduce the actual polishing speed V1, avoiding surface scratches and edge deformation of thin plates due to excessive speed, while also saving energy. G0 is the standard value for burr stubbornness under normal working conditions (medium purity titanium sheet, stable punching process, and moderate initial surface roughness). V0 is the optimal reference speed under this standard stubbornness to achieve efficient burr removal without causing scratches on the titanium metal surface. The matching relationship between the two has been verified by experiments, thus ensuring the reliability and universality of the reference parameters. In addition, the value of V0 can be finely adjusted according to the product precision level. The V0 value of high-precision titanium products can be appropriately reduced, and the V0 value of ordinary titanium products can be appropriately increased to ensure that the reference speed is compatible with the product precision requirements. The change in G-value reflects the difference in the stubbornness of burrs during actual processing. This difference can be converted into a corresponding adjustment in polishing speed using a formula. When the G-value increases (burrs are more stubborn), the polishing speed is increased simultaneously to enhance the impact and friction of burr removal, improve burr removal efficiency, and ensure that stubborn burrs can be removed quickly and thoroughly, avoiding burr residue due to insufficient speed. When the G-value decreases (burrs are easier to remove), V1 will decrease simultaneously. By reducing the polishing speed, the friction and impact on the titanium surface are reduced, avoiding surface scratches, protecting the original color and texture of the titanium, and saving energy. Furthermore, when G increases (for more stubborn burrs) and c increases simultaneously (to suit thicker plates), V1 increases significantly, ensuring efficient polishing even with stubborn burrs and thicker plates. Conversely, when G decreases (for easier burr removal) and V0 decreases simultaneously (to suit larger blanks), V1 decreases significantly, ensuring surface quality is protected and scratches are avoided even with large blanks and easily removed burrs. Therefore, this invention solves two problems: first, the fixed speed of magnetic coarse polishing makes it unsuitable for varying degrees of burr stubbornness; and second, it achieves accurate speed matching, ensuring efficient removal of stubborn burrs and avoiding inefficiency and burr residue caused by excessively slow polishing speeds, while also avoiding scratches and color damage to the titanium surface caused by excessively fast polishing speeds. This invention balances polishing effect, surface protection, and processing efficiency.

[0043] In actual processing, adjusting the polishing speed solely based on the difficulty coefficient G of burr removal can easily lead to localized over- or under-polishing due to differences in burr distribution, even at the same G value and V1 speed. This fails to meet the high-precision and high-consistency processing requirements of titanium products and is ill-suited to the surface quality requirements of high-end titanium products. To address this issue, this invention proposes a magnetic rough polishing speed optimization scheme that balances burr stubbornness and distribution uniformity across four different scenarios of burr distribution uniformity. Specifically, using the actual polishing speed V1 (V1=c*V0*G / G0) as a benchmark, and combining the four distribution scenarios corresponding to the burr uniformity index Z, V1 is precisely adjusted a second time using a piecewise adjustment function f(Z). The final actual polishing speed V2=V1*f(Z) is then calculated, achieving "distribution uniformity-adapted speed" control. This ensures that polishing effect, surface protection, and processing efficiency are balanced across different distribution scenarios. The four scenarios are detailed below: Scenario 1: Uniform burr height (corresponding to Z≤0.1); In this scenario, the burr density difference across different areas of the blank surface is minimal, and the burrs are evenly distributed without localized dense or sparse areas. This scenario is suitable for blank processing scenarios with stable punching processes and excellent polishing effects. In this scenario, due to the uniform burr distribution, the calculated actual polishing speed V1 is sufficient to meet overall processing requirements. V1 itself fully considers subtle differences in working conditions such as burr stubbornness G and titanium plate thickness, achieving uniform polishing across the entire area without additional adjustment. This avoids both burr residue caused by insufficient polishing in certain areas and surface scratches caused by excessive polishing in others. Therefore, this scenario sets a piecewise adjustment function f(Z)=1, resulting in a final actual polishing speed V2=V1*1=V1. This means using the baseline speed V1 for processing maximizes the efficiency of the baseline speed, improving processing efficiency while ensuring polishing quality, and avoiding energy waste and efficiency reduction caused by redundant adjustments.

[0044] Scenario 2: The burr uniformity decreases (corresponding to 0.1 < Z ≤ 0.5); at this time, the burrs on the blank surface are relatively evenly distributed, but slight density differences have occurred. The burr density is slightly higher in some local areas and slightly lower in some other areas. This is the most common conventional scenario in actual processing and is suitable for the processing requirements of blanks with no obvious fluctuations in the blanking process and good grinding effects. In this scenario, if the single reference speed V1 is still used, it will result in insufficient polishing in the slightly denser burr area and slightly excessive polishing in the slightly sparser burr area; although it will not cause serious product defects, it will affect the consistency of the surface finish of titanium products and cannot meet the precision requirements of medium and high-end products. Therefore, in this scenario, the piecewise adjustment function f(Z) = 1 - (10*Z - 1) / 8 is set to achieve a linear decrease in the polishing speed: as the Z value increases (the uniformity gradually decreases and the local density difference gradually increases), the f(Z) value decreases linearly with the increase of the Z value, and finally the actual polishing speed V2 also decreases linearly synchronously. This linear adjustment logic can achieve a smooth adaptation of speed and uniformity, not only compensating for the polishing requirements in the local dense area by slightly reducing the speed to avoid burr residues, but also not reducing the processing efficiency too much due to excessive speed reduction.

[0045] Scenario 3: The burrs are severely uneven (corresponding to 0.5 < Z ≤ 1). At this time, the uneven distribution of burrs on the blank surface is relatively obvious, and the burr density differences in each area are large. There are obvious partitions with local burr density and local burr sparsity, which is suitable for the blank processing scenario with slight fluctuations in the blanking process and deviations in the grinding effect. In this scenario, the disadvantages of the single reference speed V1 are particularly prominent: obvious insufficient polishing will occur in the burr-dense area, and the remaining stubborn burrs will affect the effects of subsequent processes, resulting in local defects in the finished product; obvious excessive polishing will occur in the burr-sparse area, causing scratches and original color damage on the titanium metal surface and increasing the rework cost. Therefore, in this scenario, the polishing speed needs to be further reduced, and a more conservative control strategy is adopted. The piecewise adjustment function f(Z) = 0.5 - (10*Z - 1) / 20 is set. Compared with the second scenario, the f(Z) value is lower overall, and the linear decrease rate with the increase of the Z value is more gentle. This setting can ensure that the burr-dense area obtains sufficient polishing time and appropriate polishing force to remove burrs, and at the same time avoid excessive polishing in the burr-sparse area due to too low speed, achieving a balance of "meeting the standard in the dense area and protecting the sparse area" and maximizing the consistency of the surface quality.

[0046] Scenario 4: Extremely uneven burrs (corresponding to 1 < Z). At this time, the burr distribution on the blank surface is extremely uneven, with extreme cases of locally extremely dense burrs and locally extremely sparse burrs, adapting to the blank processing scenario with large fluctuations in the blanking process and poor grinding effect. In this scenario, if the adjustment logic of the first three scenarios is adopted, the problem of insufficient polishing in the locally dense area cannot be solved; because the burr adhesion in the extremely dense area is extremely strong, a lower polishing speed and a longer polishing time are required to completely peel it off. If the speed is too high, the burrs cannot be removed and may even be pressed into the titanium metal surface, seriously affecting the product quality and use safety. Therefore, this scenario adopts the lowest speed guarantee strategy, sets the segmented adjustment function f(Z) = 0.25, and finally the actual polishing speed V2 is fixed at 25% of the initial actual polishing speed V1, and the processing is carried out at a very low fixed speed. This setting can maximize the effective polishing time in the extremely dense burr area, ensure the complete peeling of stubborn burrs, and although the processing efficiency is slightly reduced, it can maximize the overall surface quality, avoid the rejection of finished products due to local burr residues, reduce the rework cost, and adapt to the strict requirements of high-end titanium products for surface quality.

[0047] Therefore, the present invention takes V1 as the benchmark, takes the four burr distribution scenarios as the core, and forms a linkage mechanism of "uniformity adaptation speed" through the segmented adjustment function f(Z). In essence, it converts the difference in burr distribution uniformity into a quantifiable speed adjustment amount; from the benchmark speed in the highly uniform scenario, to the linear speed reduction as the uniformity decreases, then to the conservative speed reduction in the severely uneven scenario, and finally to the lowest speed in the extremely uneven scenario, realizing the accurate matching of speed regulation and distribution scenarios, and solving the problems of excessive or insufficient local polishing.

[0048] In one embodiment, based on the standard target value N0 of the burr density after grinding and the corresponding standard array density L0, combined with the average value N2 of M2 after actual grinding, the actual scanning frame array density is accurately calculated through the formula. The larger N2 is (the worse the grinding effect and the more stubborn the burrs), the higher L1 is (the denser the detection), and at this time, the parameter accuracy involved in dealing with stubborn burrs is increased; the smaller N2 is (the better the grinding effect and the less stubborn the burrs), the lower L1 is (the more efficient the detection), and at this time, the parameter accuracy involved in dealing with non-stubborn burrs is decreased.

[0049] Specifically, when N2 increases (a poorer polishing effect indicates more burrs remaining, signifying stubborn burrs), and other parameters remain unchanged, L1 increases accordingly, resulting in denser and more accurate detection; conversely, when N2 decreases (a better polishing effect indicates less stubborn burrs), and other parameters remain unchanged, L1 decreases accordingly, resulting in more efficient detection. This solution addresses the technical problem of fixed scanning frame array density and the inability to balance detection accuracy and efficiency, enabling dynamic adjustment of array density. It avoids redundant detection and missed burrs, improving the accuracy and efficiency of burr detection, providing reliable data support for subsequent polishing and grinding processes, and further ensuring the processing quality of titanium products.

[0050] In one embodiment, the scanning frame is square, and the ends of the outline of the plate inside the scanning frame are located at the endpoints of the edge lines of the scanning frame, and the midpoints of the adjacent edge lines of the scanning frame coincide. Therefore, this embodiment uses a square scanning frame to meet the inspection requirements of the blank. By aligning the endpoints of the outline with the endpoints of the edge lines of the scanning frame and coinciding with the midpoints of the adjacent scanning frames, the scanning frame and the blank outline are perfectly fitted to form a seamless scanning array, eliminating scanning blind spots and avoiding missed or false detections caused by misalignment.

[0051] It should be noted that when a component is said to be "fixed to" another component, it can be directly attached to the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "upper," "lower," "left," "right," "front," "back," and similar expressions used in this document are for illustrative purposes only.

[0052] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for processing titanium products, characterized in that, Includes the following steps: S1: Pre-treatment, the titanium product blank is obtained by cleaning the sheet metal and then punching it; S2: Visual recognition burr detection and preliminary directional grinding: The blank is scanned by a visual recognition scanning device, and the burr distribution is captured by the curve array scanning frame and several high-density areas with burr density M1 greater than the threshold are identified. The high-density areas are then ground by the grinding head in a direction that is tangential to the edge of the blank and does not contact the surface of the blank. The scanning frame uses several arc parts with curvature greater than a preset value in the outline of the billet as reference points, and the scanning frames between two adjacent reference points are equidistantly distributed along the outline of the billet. S3: Magnetic coarse polishing: The blank is placed in a magnetic polishing machine and coarsely polished with a magnetic steel rod, ceramic abrasive and polishing liquid; S4: Titanium wire wheel polishing: After rinsing the rough polished blank with clean water and drying it, fix the blank on the polishing machine fixture and use pure titanium wire wheel for dry polishing without adding polishing agent; S5: Magnetic Fine Polishing: Place the workpiece into a magnetic polishing machine and use magnetic steel rods, nylon abrasives and polishing fluid for fine polishing; S6: Cotton bag punching: After rinsing and drying the polished blank, wrap the blank in a cotton bag and punch the part of the blank to be punched using a low-speed punching method. S7: Finished product inspection and packaging.

2. The titanium product processing method according to claim 1, characterized in that, In step S2, the pressure exerted by the grinding head on the edge of the blank is preset to the standard extrusion pressure F0. After grinding, the scanning frame detects the burr density M2 in several high-density areas and calculates the burr peeling difficulty coefficient G=N2 / N1 based on the average value N2 of several M2 and the average value N1 of M1. In step S3, the magnetic polishing machine dynamically adjusts the polishing speed and polishing time according to the peeling difficulty coefficient G.

3. The titanium product processing method according to claim 2, characterized in that, In step S3, the magnetic polishing machine is preset with a standard polishing time T0 corresponding to the standard value G0 when the difficulty coefficient of burr removal is the standard value. In the actual polishing process, the magnetic polishing machine calculates the actual polishing time T1=a*T0*G / G0 based on T0 and G, where a is an adjustment coefficient.

4. The titanium product processing method according to claim 3, characterized in that, In step S3, after obtaining a number of burr densities M2, the burr uniformity index Z is calculated using a number of burr densities M1 that are less than a threshold and a number of M2. The magnetic polishing machine is preset with a standard polishing time T0 corresponding to the standard value Z0 when the burr uniformity index is the standard value. In the actual polishing process, the magnetic polishing machine calculates the actual polishing time T2=b*T0*(k1*Z / Z0+k2*G / G0) based on T0, Z0, G and G0, where b is the adjustment coefficient, k1 and k2 are weighting coefficients, and k1+k2=1.

5. The titanium product processing method according to claim 4, characterized in that, In step S3, the magnitudes of k1 and k2 are proportional to the magnitudes of Z / Z0 and G / G0, that is, when Z / Z0>G / G0, k1>k2.

6. The titanium product processing method according to claim 4, characterized in that, In step S3, the burr uniformity index Z = σ / M3; where σ is the standard value corresponding to several M1 and several M2 values ​​that are less than the threshold, and M3 is the average value corresponding to several M1 and several M2 values ​​that are less than the threshold.

7. The titanium product processing method according to claim 6, characterized in that, In step S3, the magnetic abrasive finishing machine presets a standard polishing speed V0 corresponding to a standard burr peeling difficulty coefficient G0. During the actual polishing process, the magnetic abrasive finishing machine calculates the polishing speed V1 = c * V0 * G / G0 according to V0 and G, where c is an adjustment coefficient.

8. The titanium product processing method according to claim 7, characterized in that, In step S3, the magnetic abrasive finishing machine calculates the actual polishing speed V2 = V1 * f(Z) according to V1 and Z, where when Z ≤ 0.1, f(Z) = 1; when 0.1 < Z ≤ 0.5, f(Z) = 1 - (10 * Z - 1) / 8; when 0.5 < Z ≤ 1, f(Z) = 0.5 - (10 * Z - 5) / 20; when 1 < Z, f(Z) = 0.

25.

9. The titanium product processing method according to claim 8, characterized in that, In step S2, a standard array density L0 of the scanning frame corresponding to a standard mean N0 of several M2 is preset. The visual recognition scanning device calculates the actual scanning frame standard array density L1 = d * L0 * N2 / N0 according to N0, L0 and N2, where d is an adjustment coefficient.

10. The titanium product processing method according to claim 9, characterized in that, The scanning frame is square, the end parts of the outer contour line of the sheet located inside the scanning frame are respectively located at the endpoints of the scanning frame side lines, and the midpoints on adjacent scanning frame side lines coincide.

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