Production equipment and preparation method of mobile phone middle frame, and storage medium

Abstract

The invention discloses production equipment and a preparation method of a mobile phone middle frame and a storage medium, and the method comprises the following steps: carrying out finish machining on an initial mold slide according to a middle frame structure drawing and mold slide design parameters; according to a leather texture design scheme and mold slide design parameters, texture carving is conducted on the inner side of the mold slide after finish machining, and a mold slide with precise leather textures is obtained; inputting the basic data into a pre-trained simulation model to obtain an optimal process parameter packet adapted to current production; according to the optimal technological parameter package, the middle frame base material in the molten state is injected into a closed cavity formed by splicing mold slide positions, cooling and curing treatment is conducted, and a middle frame crude product with leather textures is obtained; spraying excimer skin-touch finish paint on the surface of the cleaned middle frame crude product to obtain a middle frame finished product; and performing appearance and performance detection on the middle frame finished product to obtain a quality detection result. According to the method, the consistency of middle frame texture recarving can be ensured, and the appearance texture of a product is improved.

Description

Technical Field

[0001] This application relates to the field of automated processing technology, and in particular to a production equipment and preparation method for a mobile phone mid-frame, as well as a storage medium. Background Technology

[0002] In the field of electronic devices, to enhance the appearance and feel of products, some devices feature leather-textured decorative structures on their mid-frames. In existing technologies, these textured mid-frames are typically manufactured using a split-bonding process. This involves first creating a flat mid-frame substrate through machining, then cutting leather strips to the desired shape based on the mid-frame's dimensions and texture distribution. Adhesive is then applied to the pre-defined bonding areas on the mid-frame substrate, and the leather strips are aligned and bonded together. Finally, the process is completed through pressing, fixing, and edge trimming.

[0003] However, with this processing method, the bonding stability of the adhesive is easily affected by the ambient temperature and humidity and the duration of use, and it is very easy for the adhesive to peel off and curl after long-term use. The bonding process between the leather strip and the mid-frame substrate relies on manual positioning or simple tooling, which makes it difficult to ensure precise alignment between the two, and problems such as texture misalignment and partial exposure of the substrate are likely to occur. At the same time, the edge trimming process after bonding is limited by the characteristics of the leather material and the processing precision, which can easily result in uneven trimming and rough edges, seriously affecting the appearance consistency of the mid-frame and the reliability of the product. Summary of the Invention

[0004] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method for manufacturing a mobile phone mid-frame, which can ensure the integrity and consistency of the mid-frame texture replication, thereby improving the product's appearance and reliability.

[0005] In a first aspect, this application provides a method for manufacturing a mobile phone mid-frame, comprising: Obtain the basic data required for the production of the equipment's middle frame; wherein, the basic data includes the middle frame structure drawings, mold slide design parameters, leather texture design scheme, substrate physical property data, equipment parameters, and quality target data; Based on the aforementioned middle frame structure drawings and mold slide design parameters, the initial mold slide is precision machined; Based on the leather texture design scheme and mold slide design parameters, the inner side of the finished mold slide is engraved with texture to obtain a mold slide with a precise leather texture. The basic data is input into a pre-trained simulation model, and the process parameters are iteratively optimized through simulation and machine learning algorithms to obtain the optimal process parameter package that is suitable for the current production. According to the optimal process parameter package, the molten middle frame substrate is injected into the closed cavity formed by the splicing of the mold positions and cooled and solidified to obtain a rough middle frame with leather texture. The rough middle frame is cleaned, and then an excimer skin-feel topcoat is sprayed onto the cleaned rough middle frame to obtain the finished middle frame. The finished mid-frame is subjected to appearance and performance inspections to obtain quality inspection results, and the parameters of the simulation model are iteratively upgraded based on the quality inspection results.

[0006] The method for preparing a mobile phone mid-frame according to the first aspect of this application has at least the following beneficial effects: First, basic data such as the mid-frame structure, mold positions, leather texture, and substrate properties are obtained. Based on this data, the mold positions are finely processed and the inner side is precisely engraved with leather texture. Then, the basic data is input into a pre-trained simulation model. The optimal process parameter package is obtained through simulation and machine learning algorithms. Subsequently, the molten substrate is injected into the cavity formed by the mold positions according to the parameter package for injection molding. After surface cleaning, excimer laser skin-feel topcoat spraying, and finished product inspection, the simulation model is iteratively upgraded based on the inspection results. This method avoids problems such as delamination, lifting, texture misalignment, and uneven trimming caused by the reliance on adhesive bonding and manual positioning in traditional glue-applied leather processes by combining integrated mold texture design with injection molding. At the same time, by using simulation models and machine learning to accurately optimize process parameters and perform closed-loop iteration, the integrity and consistency of the mid-frame texture replication are ensured, improving the product's appearance and reliability.

[0007] According to some embodiments of the first aspect of this application, the step of engraving texture on the inner side of the finished mold slide according to the leather texture design scheme and mold slide design parameters to obtain a mold slide with a precision leather texture includes: Based on the leather texture design scheme, the texture feature parameters of the leather texture are extracted; the texture feature parameters include texture unit size and texture bump depth; Based on the mold slide design parameters, determine the straight section area and corner section area on the inner side of the mold slide after finishing; Based on the texture feature parameters and the range of the straight line segment region, straight line engraving parameters are generated; wherein, the straight line engraving parameters include continuous straight line engraving trajectory, straight line engraving power, and straight line engraving speed; Based on the texture feature parameters and the curvature of the corner segment region, corner carving parameters are generated; wherein, the corner carving parameters include single carving area, rotation adaptation angle, corner carving power and corner carving speed, and the rotation adaptation angle represents the angle that the mold row needs to rotate after each single carving area of ​​texture carving is completed; Based on the straight engraving parameters and the corner engraving parameters, the laser engraving equipment is controlled to perform texture engraving on the mold row, resulting in a mold row with a precise leather texture.

[0008] According to some embodiments of the first aspect of this application, after the step of texturing the inner side of the finished mold slide, the method further includes: Real-time texture images of the area to be etched inside the mold slide are acquired. The collected real-time texture image is compared point by point with the standard texture file corresponding to the leather texture design scheme, and the texture similarity between the two is calculated by image matching algorithm. When the texture similarity of a local area is detected to be lower than a preset texture similarity threshold, texture carving is stopped and the area is marked as a local texture missing region. Drive the preset blowing device to spray a cleaning airflow into the local texture-deficient area; After the impurities in the local texture-deficient area are removed, the engraving path is traced back to a preset distance before the local texture-deficient area, and engraving continues until all texture engraving on the inner side of the mold row is completed.

[0009] According to some embodiments of the first aspect of this application, the simulation model is pre-trained according to the following steps: Obtain several sets of one-to-one historical production data and historical actual production quality results; Construct the initial simulation model; The historical production data is input into the initial simulation model to obtain candidate process parameters, and the corresponding simulation quality results are predicted based on the candidate process parameters. Calculate the deviation between the simulated quality result and the historical actual production quality result, and adjust the parameter weights of the initial model according to the deviation until the deviation is less than a preset training threshold to obtain a pre-trained simulation model.

[0010] According to some embodiments of the first aspect of this application, the step of injecting the molten mid-frame substrate into a closed cavity formed by the splicing of the mold slides and then cooling and solidifying it according to the optimal process parameter package to obtain a rough mid-frame product with a leather texture includes: Based on the optimal process parameter package, the target pressure range and target temperature range within the closed cavity are preset; Molten middle frame substrate is injected into the closed cavity formed by the splicing of the mold slides, while the actual pressure and temperature values ​​inside the closed cavity are collected in real time. When the actual pressure value is lower than the lower limit of the target pressure range, increase the injection pressure or increase the substrate injection speed until the actual pressure value returns to the target pressure range; when the actual pressure value is higher than the upper limit of the target pressure range, decrease the injection pressure or slow down the substrate injection speed until the actual pressure value returns to the target pressure range. When the actual temperature value is lower than the lower limit of the target temperature range, the heating temperature of the molten substrate is increased or the cooling efficiency of the injection mold is decreased until the actual temperature value returns to the target temperature range; when the actual temperature value is higher than the upper limit of the target temperature range, the cooling efficiency of the injection mold is increased until the actual temperature value returns to the target temperature range.

[0011] According to some embodiments of the first aspect of this application, the step of performing surface cleaning treatment on the rough mid-frame and spraying an excimer skin-feel topcoat onto the cleaned rough mid-frame to obtain the finished mid-frame includes: An alcohol cleaning solution is sprayed onto the surface of the rough middle frame, and a high-pressure clean airflow is output to the rough middle frame. Collect the surface contour information of the cleaned middle frame rough product, and generate the corresponding three-dimensional point cloud model based on the surface contour information; Based on the three-dimensional point cloud model, the planar regions and corner regions in the rough middle frame are identified; Based on the structural characteristics of the planar and corner areas, corresponding planar spraying parameters and corner spraying parameters are set; wherein, the spray gun nozzle diameter in the planar spraying parameters is larger than the spray gun nozzle diameter in the corner spraying parameters, the spraying distance in the planar spraying parameters is greater than the spraying distance in the corner spraying parameters, the number of sprays in the planar spraying parameters is less than the number of sprays in the corner spraying parameters, and the spraying speed in the planar spraying parameters is greater than the spraying speed in the corner spraying parameters; Based on the planar spraying parameters and the corner spraying parameters, first spray the planar area of ​​the rough middle frame with excimer skin-feel topcoat, and then spray the corner area of ​​the rough middle frame with excimer skin-feel topcoat. The rough mid-frame, after being sprayed, is subjected to ultraviolet curing to obtain the finished mid-frame.

[0012] According to some embodiments of the first aspect of this application, the step of performing surface cleaning treatment on the rough mid-frame and spraying an excimer skin-feel topcoat onto the cleaned rough mid-frame to obtain the finished mid-frame includes: The rough middle frame is cleaned, and then an excimer skin-feel topcoat is sprayed onto the cleaned rough middle frame to obtain a semi-finished middle frame. Acquire images of the semi-finished product, namely the mid-frame semi-finished product; Based on the semi-finished product image and the middle frame structure drawing, determine the coordinates of the holes on the semi-finished middle frame; Based on the hole coordinates, the semi-finished middle frame is drilled to obtain the finished middle frame.

[0013] According to some embodiments of the first aspect of this application, the step of performing appearance and performance testing on the finished mid-frame to obtain quality inspection results includes: Acquire initial appearance images of the finished mid-frame from multiple different angles; The initial appearance image is filtered and enhanced to obtain a standardized appearance image; Based on the standardized appearance image, the actual texture features, coating surface features, and actual size data are extracted. Based on the actual texture features and the leather texture design scheme, the leather texture detection results are obtained; Based on the surface characteristics of the coating, a smoothness defect analysis is performed to obtain the spraying inspection results; Based on the actual size data and the quality target data, the dimensional accuracy test results are obtained; The quality inspection results are obtained based on the leather texture detection results, the spraying detection results, and the dimensional accuracy detection results.

[0014] Secondly, this application provides a manufacturing apparatus for a mobile phone mid-frame, comprising: At least one memory; At least one processor; At least one program; The program is stored in the memory, and the processor executes at least one of the programs to implement the method for preparing a mobile phone frame as described in any embodiment of the first aspect.

[0015] Thirdly, this application provides a computer-readable storage medium storing computer-executable signals for performing a method for manufacturing a mobile phone frame as described in any embodiment of the first aspect.

[0016] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0017] Additional aspects and advantages of this application will become apparent and readily understood in conjunction with the following description of the embodiments, in which: Figure 1 Flowcharts illustrating methods for preparing a mobile phone mid-frame according to some embodiments of this application; Figure 2This is a schematic diagram of the structure of a laser engraving device provided in some embodiments of this application; Figure 3 This is a schematic diagram of the structure of a mold slide provided in some embodiments of this application.

[0018] The attached icons are numbered as follows: Laser engraving equipment 100; mold slide 200. Detailed Implementation

[0019] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0020] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0021] In the description of this application, the use of "first" and "second" is for the purpose of distinguishing technical features only, and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0022] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0023] In the field of electronic devices, to enhance the appearance and feel of products, some devices feature leather-textured decorative structures on their mid-frames. In existing technologies, these textured mid-frames are typically manufactured using a split-bonding process. This involves first creating a flat mid-frame substrate through machining, then cutting leather strips to the desired shape based on the mid-frame's dimensions and texture distribution. Adhesive is then applied to the pre-defined bonding areas on the mid-frame substrate, and the leather strips are aligned and bonded together. Finally, the process is completed through pressing, fixing, and edge trimming.

[0024] However, with this processing method, the bonding stability of the adhesive is easily affected by the ambient temperature and humidity and the duration of use, and it is very easy for the adhesive to peel off and curl after long-term use. The bonding process between the leather strip and the mid-frame substrate relies on manual positioning or simple tooling, which makes it difficult to ensure precise alignment between the two, and problems such as texture misalignment and partial exposure of the substrate are likely to occur. At the same time, the edge trimming process after bonding is limited by the characteristics of the leather material and the processing precision, which can easily result in uneven trimming and rough edges, seriously affecting the appearance consistency of the mid-frame and the reliability of the product.

[0025] Based on this, this application provides a production equipment and preparation method for a mobile phone mid-frame, as well as a storage medium to solve the aforementioned technical problems. The technical solutions provided by this application will be described in detail below.

[0026] Firstly, referring to Figure 1 This application provides a method for preparing a mobile phone mid-frame, which may include, but is not limited to, the following steps: Step S110: Obtain the basic data required for the production of the equipment's middle frame; the basic data includes the middle frame structure drawings, mold slide design parameters, leather texture design scheme, substrate physical property data, equipment parameters, and quality target data.

[0027] Step S120: Based on the middle frame structure drawing and mold slide design parameters, perform precision machining on the initial mold slide.

[0028] Step S130: Based on the leather texture design scheme and mold slide design parameters, the inner side of the finished mold slide is textured and engraved to obtain a mold slide with a precise leather texture.

[0029] Step S140: Input the basic data into the pre-trained simulation model, and perform iterative optimization of process parameters through simulation and machine learning algorithms to obtain the optimal process parameter package that is suitable for the current production.

[0030] Step S150: According to the optimal process parameter package, the molten middle frame substrate is injected into the closed cavity formed by the splicing of the mold positions and cooled and solidified to obtain a rough middle frame with leather texture.

[0031] Step S160: Clean the surface of the rough mid-frame and spray an excimer skin-feel topcoat onto the cleaned rough mid-frame to obtain the finished mid-frame.

[0032] Step S170: Perform appearance and performance inspections on the finished mid-frame to obtain quality inspection results, and iteratively upgrade the parameters of the simulation model based on the quality inspection results.

[0033] In steps S110 to S170, basic data such as the mid-frame structure, mold positions, leather texture, and substrate properties are first acquired. Based on this data, the mold positions are finely machined and the inner side is precisely engraved with leather texture. Then, the basic data is input into a pre-trained simulation model. The optimal process parameter package is obtained through simulation and machine learning algorithms. Subsequently, the molten substrate is injected into the cavity formed by the mold positions according to the parameter package for injection molding. After surface cleaning, excimer laser skin-feel topcoat spraying, and finished product inspection, the simulation model is iteratively upgraded based on the inspection results. This method combines integrated mold texture design with injection molding, avoiding problems such as delamination, peeling, texture misalignment, and uneven trimming caused by the reliance on adhesive bonding and manual positioning in traditional glue-applied leather processes. At the same time, the precise optimization and closed-loop iteration of process parameters through simulation models and machine learning ensure the integrity and consistency of the mid-frame texture replication, improving the product's appearance and reliability.

[0034] In the basic data of step S110, the middle frame structure drawing represents the design information of the middle frame, such as its shape, hole positions, and corner curvature, providing dimensional references for mold processing and middle frame forming. The mold slide design parameters include data such as the number of slides, stroke range, and structural dimensions, used to guide the precision machining of the mold slides and ensure that the mold adapts to the middle frame forming requirements. The leather texture design scheme clarifies the style, unit size, and depth of the leather texture, serving as the core basis for mold texture engraving and middle frame texture replication. The substrate physical property data records the physical properties of the middle frame substrate, such as melting temperature and shrinkage rate, providing data support for simulation parameter optimization and injection molding process adjustment. The equipment parameters cover the performance thresholds (such as power and pressure range) of processing, engraving, and injection molding equipment, ensuring that the equipment operation at each stage adapts to production requirements. The quality target data specifies the acceptance standards such as texture replication integrity and dimensional deviation, serving as the judgment criteria for process optimization and finished product inspection.

[0035] The excimer skin-feel topcoat in step S160 has the characteristics of delicate skin feel, anti-fingerprint, wear and scratch resistance. Common types are mainly industrial-grade environmentally friendly coatings, such as water-based polyurethane excimer skin-feel topcoat, acrylic excimer skin-feel topcoat, and silicone-modified acrylic excimer skin-feel topcoat, etc. This application does not limit this type.

[0036] It is understood that step S130 may include, but is not limited to, the following steps: Step S210: Based on the leather texture design scheme, extract the texture feature parameters of the leather texture; the texture feature parameters include the texture unit size and the texture bump depth.

[0037] Step S220: Based on the mold slide design parameters, determine the straight section area and corner section area on the inner side of the mold slide after finishing.

[0038] Step S230: Generate straight line engraving parameters based on texture feature parameters and the range of the straight line segment region; wherein, the straight line engraving parameters include continuous straight line engraving trajectory, straight line engraving power and straight line engraving speed.

[0039] Step S240: Generate corner engraving parameters based on texture feature parameters and the curvature of the corner segment area; wherein, the corner engraving parameters include single engraving area, rotation adaptation angle, corner engraving power and corner engraving speed, and the rotation adaptation angle represents the angle that the mold row needs to rotate after each single engraving area of ​​texture engraving is completed.

[0040] Step S250: Based on the straight engraving parameters and corner engraving parameters, control the laser engraving equipment to perform texture engraving on the mold slides to obtain mold slides with precise leather texture.

[0041] In steps S210 to S250, core texture feature parameters are extracted from the leather texture design scheme, clarifying the key benchmarks for texture replication and providing data support for precise engraving. Simultaneously, by combining the mold's position design parameters to divide the area into straight and corner segments, engraving parameters adapted to the structural characteristics of different areas are generated. Straight segments use continuous trajectories with corresponding power and speed, while corner segments solve the texture discontinuity and deformation problems that easily occur when engraving corners with a fixed laser by setting the single engraving area and rotation adaptation angle. This regionalized, parameterized engraving method ensures the precision and integrity of the leather texture inside the mold's position while improving the adaptability and efficiency of the engraving process. It ensures that the engraved mold can stably replicate the leather texture that meets the design requirements, laying a solid foundation for the texture quality of the subsequent middle frame forming.

[0042] In step S210, the texture unit size refers to the geometric dimensions such as length and width of the basic pattern that repeats in the leather texture, representing the basic shape and size of the texture. The texture convexity depth refers to the vertical height difference between the raised and recessed parts of the texture, representing the degree of three-dimensional undulation of the texture.

[0043] In step S240, the core reason for engraving is that the laser position is fixed, while the corner section of the mold slide has an arc-shaped structure. Direct continuous engraving would cause inconsistencies in the angle and distance between the laser and the surface to be engraved. On the one hand, this ensures that the laser always maintains an adapted posture to the area to be engraved in the corner section, avoiding texture gaps, deformation, or uneven engraving depth caused by angle deviation, ensuring that the leather texture at the corner is as precise and complete as the straight section; on the other hand, it reduces mold damage caused by uneven force on the curved surface during engraving, while making the engraving path more closely fit the corner curvature, improving the accuracy of texture replication, and ultimately ensuring that the corner texture of the subsequently injection-molded middle frame meets the design requirements, avoiding problems such as local texture blurring and misalignment.

[0044] It is understood that after the step of texture engraving on the inner side of the finished mold slide in step S130, the following steps may be included, but are not limited to: Step S310: Real-time acquisition of the texture image of the area to be engraved inside the mold slide.

[0045] Step S320: Compare the collected real-time texture image with the standard texture file corresponding to the leather texture design scheme point by point, and calculate the texture similarity between the two by image matching algorithm.

[0046] Step S330: When the texture similarity of a local area is detected to be lower than the preset texture similarity threshold, stop texture carving and mark it as a local texture missing area.

[0047] Step S340: Drive the preset air blowing device to spray a clean airflow onto the local texture-deficient area.

[0048] Step S350: After the impurities in the local texture missing area are cleared, the engraving path is traced back to the preset distance before the local texture missing area, and the engraving continues until all the texture engraving inside the mold position is completed.

[0049] In steps S310 to S350, real-time texture image acquisition and point-by-point feature comparison during the engraving process enable timely and accurate identification of local texture loss issues. This prevents texture defects caused by impurities and other factors from being overlooked in subsequent production stages, reducing ineffective processing and rework costs. Simultaneously, the design of first removing impurities from the missing area using an air-blowing device and then retracing back to a preset distance to continue engraving eliminates the root cause of texture loss and ensures seamless connection between the missing area and the surrounding already engraved texture, avoiding secondary defects such as texture gaps and misalignments. This closed-loop processing method effectively improves the precision and integrity of texture engraving on the inner side of the mold slide, ensuring a high degree of consistency between the engraved mold texture and the design scheme, providing a reliable guarantee for the stable replication of qualified leather textures in subsequent mid-frame products.

[0050] It is understandable that the simulation model in step S140 is pre-trained through the following steps: Step S410: Obtain several sets of historical production basic data and historical actual production quality results that correspond one-to-one.

[0051] Step S420: Construct the initial simulation model.

[0052] Step S430: Input historical production data into the initial simulation model to obtain candidate process parameters, and predict the corresponding simulation quality results based on the candidate process parameters.

[0053] Step S440: Calculate the deviation between the simulated quality results and the historical actual production quality results, and adjust the parameter weights of the initial model according to the deviation until the deviation is less than the preset training threshold to obtain the pre-trained simulation model.

[0054] In steps S410 to S440, the initial simulation model is iteratively trained based on historical production data and corresponding actual quality results. Through continuous adjustment of parameter weights, the model accurately grasps the inherent correlation between basic data, process parameters, and production quality, effectively overcoming the drawbacks of traditional process parameters relying on human experience, such as insufficient adaptability and high trial-and-error costs. The pre-trained simulation model can output highly targeted and adaptable candidate process parameters based on current production data, providing reliable support for the generation of subsequent optimal process parameter packages. This ensures the process coordination of various stages, such as mold processing and injection molding, and improves the consistency of mid-frame product quality and production reliability.

[0055] It is understood that step S150 may include, but is not limited to, the following steps: Step S510: Based on the optimal process parameter package, preset the target pressure range and target temperature range within the closed cavity.

[0056] Step S520: Inject molten middle frame substrate into the closed cavity formed by the splicing of the mold slides, and simultaneously collect the actual pressure and temperature values ​​inside the closed cavity in real time.

[0057] Step S530: When the actual pressure value is lower than the lower limit of the target pressure range, increase the injection pressure or increase the substrate injection speed until the actual pressure value returns to the target pressure range; when the actual pressure value is higher than the upper limit of the target pressure range, decrease the injection pressure or slow down the substrate injection speed until the actual pressure value returns to the target pressure range.

[0058] Step S540: When the actual temperature value is lower than the lower limit of the target temperature range, increase the heating temperature of the molten substrate or decrease the cooling efficiency of the injection mold until the actual temperature value returns to the target temperature range; when the actual temperature value is higher than the upper limit of the target temperature range, increase the cooling efficiency of the injection mold until the actual temperature value returns to the target temperature range.

[0059] In steps S510 to S540, based on the optimal process parameter package, the target pressure and temperature range of the closed cavity are preset. During the injection molding process, the actual temperature and pressure data inside the cavity are collected in real time and dynamically adjusted to accurately control the key environmental conditions for substrate injection and cooling curing. When the pressure or temperature deviates from the target range, targeted operations such as increasing or decreasing the injection pressure, adjusting the substrate injection speed, or adjusting the mold cooling efficiency can effectively avoid problems such as insufficient texture adhesion and material shortage caused by insufficient pressure, as well as defects such as deformation and uneven shrinkage of the middle frame caused by excessive pressure or abnormal temperature. This ensures that the molten substrate always maintains suitable fluidity and molding state, thereby improving the leather texture replication effect and molding accuracy of the rough middle frame, and ensuring the stability and consistency of product quality.

[0060] It is understood that step S160 may include, but is not limited to, the following steps: Step S610: Spray alcohol cleaning solution onto the surface of the rough middle frame and output high-pressure clean airflow to the rough middle frame.

[0061] Step S620: Collect the surface contour information of the cleaned mid-frame rough material, and generate the corresponding three-dimensional point cloud model based on the surface contour information.

[0062] Step S630: Based on the 3D point cloud model, identify the planar regions and corner regions in the rough frame.

[0063] Step S640: Based on the structural characteristics of the planar area and the corner area, set the corresponding planar spraying parameters and corner spraying parameters; wherein, the spray gun nozzle diameter in the planar spraying parameters is larger than the spray gun nozzle diameter in the corner spraying parameters, the spraying distance in the planar spraying parameters is greater than the spraying distance in the corner spraying parameters, the number of sprays in the planar spraying parameters is less than the number of sprays in the corner spraying parameters, and the spraying speed in the planar spraying parameters is greater than the spraying speed in the corner spraying parameters.

[0064] Step S650: Based on the flat spraying parameters and corner spraying parameters, first spray the excimer skin-feel topcoat onto the flat area of ​​the rough mid-frame, and then spray the excimer skin-feel topcoat onto the corner area of ​​the rough mid-frame.

[0065] Step S660: The rough mid-frame that has been sprayed is subjected to ultraviolet curing treatment to obtain the finished mid-frame.

[0066] In steps S610 to S660, the rough surface of the mid-frame is first automatically cleaned using a combination of alcohol spraying and high-pressure clean airflow, efficiently removing impurities and avoiding residue, providing a clean base for subsequent coating. Then, by utilizing surface contour acquisition and 3D point cloud model construction, planar and corner areas are accurately identified. Differential coating parameters are set based on the structural differences between the two types of areas. Planar areas are treated with a high-efficiency spraying method using a large-diameter nozzle, long distance, high speed, and fewer spray passes, while corner areas are treated with a precise spraying method using a small-diameter nozzle, short distance, slow speed, and more spray passes, adapting to the coating needs of different areas. This spraying sequence—planar areas first, then corners—and subsequent UV curing effectively avoids defects that easily occur with conventional uniform parameter spraying, such as missed areas in corners, excessively thin coatings, or excessively thick coatings and sagging in planar areas. This ensures a uniform coating thickness on the finished mid-frame surface, while also improving the adhesion stability of the excimer laser topcoat, giving the product both a good appearance and a comfortable grip, guaranteeing consistent product quality.

[0067] It is understood that step S160 may include, but is not limited to, the following steps: Step S710: Clean the surface of the rough mid-frame and spray an excimer skin-feel topcoat onto the cleaned surface of the rough mid-frame to obtain a semi-finished mid-frame.

[0068] Step S720: Collect the semi-finished image of the mid-frame semi-finished product.

[0069] Step S730: Determine the coordinates of the holes on the semi-finished middle frame based on the semi-finished product image and the middle frame structure drawing.

[0070] Step S740: Drill holes in the semi-finished middle frame according to the hole coordinates to obtain the finished middle frame.

[0071] In steps S710 to S740, the excimer laser-coated surface layer is first applied to ensure the integrity and uniformity of the coating on the mid-frame surface. Then, drilling is performed based on precisely located hole coordinates. This ensures that the hole size and position closely match the design requirements while preventing scratches or damage to the already formed coating during the drilling process. Simultaneously, the finished mid-frame possesses a uniform, skin-like coating texture while maintaining the machining accuracy of the holes, improving the product's appearance quality and assembly compatibility, and guaranteeing the stability of the production process and the consistency of the finished product.

[0072] It is understood that step S170 may include, but is not limited to, the following steps: Step S810: Collect initial appearance images of the finished mid-frame from multiple different angles.

[0073] Step S820: Filter and enhance the initial appearance image to obtain a standardized appearance image.

[0074] Step S830: Extract the actual texture features, coating surface features and actual size data based on the standardized appearance image.

[0075] Step S840: Obtain the leather texture detection results based on the actual texture features and leather texture design scheme.

[0076] Step S850: Based on the surface characteristics of the coating, perform a smoothness defect analysis to obtain the spraying inspection results.

[0077] Step S860: Obtain the dimensional accuracy test results based on the actual dimensional data and the quality target data.

[0078] Step S870: Obtain the quality inspection results based on the leather texture inspection results, spraying inspection results, and dimensional accuracy inspection results.

[0079] Steps S810 to S870 involve acquiring initial appearance images of the finished mid-frame from multiple angles, and then filtering and enhancing them to obtain standardized appearance images, ensuring the integrity and clarity of the inspection data. Based on the standardized appearance images, actual texture features, coating surface features, and actual size data are extracted. Targeted inspections are then conducted by comparing the leather texture design scheme, analyzing flatness defects, and combining quality target data. Finally, the multi-dimensional inspection results are integrated to form the final quality inspection result, achieving comprehensive coverage and accurate judgment of the core quality indicators of the finished mid-frame. This systematic inspection method effectively avoids the problems of missed detections and misjudgments caused by manual inspection or single-dimensional inspection, ensuring that only products meeting design requirements and quality standards can leave the factory, significantly improving the stability and reliability of product quality.

[0080] Secondly, this application also provides a manufacturing apparatus for a mobile phone mid-frame, comprising: at least one memory; at least one processor; at least one program; the program is stored in the memory, and the processor executes the at least one program to implement the method for manufacturing a mobile phone mid-frame as described in any embodiment of the first aspect.

[0081] In the production equipment for this mobile phone mid-frame, basic data such as the mid-frame structure, mold positions, leather texture, and substrate properties are first acquired. Based on this data, the mold positions are finely machined and the inner side is precisely engraved with leather texture. Then, the basic data is input into a pre-trained simulation model. Through simulation and machine learning algorithms, the optimal process parameter package is obtained through iterative optimization. Subsequently, according to the parameter package, the molten substrate is injected into the cavity formed by the splicing of the mold positions for injection molding. After surface cleaning, excimer laser skin-feel topcoat spraying, and finished product inspection, the simulation model is iteratively upgraded based on the inspection results. This method combines integrated mold texture design with injection molding, avoiding problems such as delamination, lifting, texture misalignment, and uneven trimming caused by the reliance on adhesive bonding and manual positioning in traditional glue-applied leather processes. At the same time, by using simulation models and machine learning to accurately optimize process parameters and conduct closed-loop iteration, the integrity and consistency of the mid-frame texture replication are ensured, improving the product's appearance and reliability.

[0082] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and signals, such as the program instructions / signals corresponding to the processing module in the embodiments of this application. The processor executes various functional applications and data processing by running the non-transitory software programs, instructions, and signals stored in the memory, thereby implementing the method for preparing the mobile phone frame in the above-described method embodiments.

[0083] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data related to the fabrication method of the aforementioned mobile phone frame. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processing module via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0084] One or more signals are stored in a memory, and when executed by one or more processors, the method for preparing the mobile phone frame in any of the above method embodiments is performed.

[0085] Thirdly, embodiments of this application provide a computer-readable storage medium storing a computer program that is executed by one or more processors, enabling the one or more processors to perform the method for preparing the mobile phone frame in the above method embodiments.

[0086] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Based on the above description of the embodiments, those skilled in the art will understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable signals, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible by a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable signals, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0088] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0089] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0090] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0092] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] The embodiments of this application have been described in detail above with reference to the accompanying drawings. However, this application is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of this application.

Claims

1. A preparation method of a mobile phone middle frame, characterized in that, The method comprises the following steps: acquiring basic data required for production of a middle frame of a device; wherein the basic data comprises a middle frame structure drawing, mold row position design parameters, a leather texture design scheme, substrate physical property data, device parameters, and quality target data; finely processing an initial mold row position according to the middle frame structure drawing and the mold row position design parameters; texture engraving the inner side of the finely processed mold row position according to the leather texture design scheme and the mold row position design parameters, to obtain a mold row position with precise leather texture; inputting the basic data into a pre-trained simulation model, iteratively optimizing process parameters through simulation and machine learning algorithms, to obtain an optimal process parameter package suitable for current production; injecting a molten middle frame substrate into a closed cavity formed by the mold row position splicing and performing cooling and solidification treatment according to the optimal process parameter package, to obtain a middle frame rough product with leather texture; performing surface cleaning treatment on the middle frame rough product, spraying an excimer skin-friendly finish on the surface of the cleaned middle frame rough product, to obtain a middle frame finished product; detecting the appearance and performance of the middle frame finished product, to obtain a quality detection result, and iteratively upgrading the parameters of the simulation model according to the quality detection result.

2. The method of claim 1, wherein the method further comprises: The step of texture engraving the inner side of the finely processed mold row position according to the leather texture design scheme and the mold row position design parameters comprises the following steps: extracting texture characteristic parameters of the leather texture according to the leather texture design scheme; the texture characteristic parameters comprise texture unit size and texture concave-convex depth; determining a straight line segment area and a corner segment area of the inner side of the finely processed mold row position according to the mold row position design parameters; generating straight line engraving parameters according to the texture characteristic parameters and the range of the straight line segment area; the straight line engraving parameters comprise continuous straight line engraving track, straight line engraving power, and straight line engraving speed; generating corner engraving parameters according to the texture characteristic parameters and the radian of the corner segment area; the corner engraving parameters comprise single engraving area, rotation adaptation angle, corner engraving power, and corner engraving speed; the rotation adaptation angle represents the angle by which the mold row position needs to be rotated after completing texture engraving of the single engraving area; controlling a laser engraving device to perform texture engraving on the mold row position according to the straight line engraving parameters and the corner engraving parameters, to obtain a mold row position with precise leather texture.

3. The method of claim 1, wherein the method further comprises: After the step of texture engraving the inner side of the finely processed mold row position, the method further comprises the following steps: real-time collecting real-time texture images of a region to be engraved on the inner side of the mold row position; performing point-by-point feature comparison between the collected real-time texture images and a standard texture image file corresponding to the leather texture design scheme, and calculating texture similarity between the two through an image matching algorithm; stopping texture engraving and marking a local texture missing region when detecting that the texture similarity of a local region is lower than a preset texture similarity threshold; driving a preset air blowing device to spray a cleaning gas flow to the local texture missing region; After the impurity removal in the local texture missing area is completed, the engraving path is traced back to a preset distance before the local texture missing area, and engraving is continued until the entire texture engraving of the inside of the mold row position is completed.

4. The method of claim 1, wherein the method further comprises: The simulation model is pre-trained according to the following steps: Obtain a plurality of sets of one-to-one corresponding historical production basic data and historical actual production quality results; Construct an initial simulation model; Input the historical production basic data into the initial simulation model to obtain candidate process parameters, and predict corresponding simulation quality results based on the candidate process parameters; Calculate the deviation value of the simulation quality results and the historical actual production quality results, and adjust the parameter weight of the initial model according to the deviation value until the deviation value is less than a preset training threshold to obtain a pre-trained simulation model.

5. The method of claim 1, wherein the method further comprises: According to the optimal process parameter package, the middle frame base material in a molten state is injected into the closed cavity formed by the mold row position and is subjected to cooling and solidification treatment to obtain a middle frame rough product with leather texture, including: Based on the optimal process parameter package, a target pressure range and a target temperature range in the closed cavity are preset; The molten middle frame base material is injected into the closed cavity formed by the mold row position, and the actual pressure value and the actual temperature value inside the closed cavity are collected in real time; When the actual pressure value is lower than the lower limit of the target pressure range, the injection pressure is increased or the base material injection speed is increased until the actual pressure value returns to the target pressure range; when the actual pressure value is higher than the upper limit of the target pressure range, the injection pressure is reduced or the base material injection speed is reduced until the actual pressure value returns to the target pressure range; When the actual temperature value is lower than the lower limit of the target temperature range, the heating temperature of the molten base material is increased or the cooling efficiency of the injection mold is reduced until the actual temperature value returns to the target temperature range; when the actual temperature value is higher than the upper limit of the target temperature range, the cooling efficiency of the injection mold is increased until the actual temperature value returns to the target temperature range.

6. The method of claim 1, wherein the method further comprises: The surface of the middle frame rough product is cleaned, and a quasi-molecular skin-friendly topcoat is sprayed on the surface of the cleaned middle frame rough product to obtain a middle frame finished product, including: An alcohol cleaning solution is sprayed on the surface of the middle frame rough product, and a high-pressure clean gas flow is output to the middle frame rough product; The surface profile information of the cleaned middle frame rough product is collected, and a corresponding three-dimensional point cloud model is generated based on the surface profile information; According to the three-dimensional point cloud model, the planar region and the corner region in the middle frame rough product are identified; According to the structural characteristics of the planar region and the corner region, corresponding planar spraying parameters and corner spraying parameters are set; wherein the nozzle caliber in the planar spraying parameters is greater than the nozzle caliber in the corner spraying parameters, the spraying distance in the planar spraying parameters is greater than the spraying distance in the corner spraying parameters, the spraying frequency in the planar spraying parameters is less than the spraying frequency in the corner spraying parameters, and the spraying speed in the planar spraying parameters is greater than the spraying speed in the corner spraying parameters. According to the planar spraying parameter and the corner spraying parameter, the planar area of the middle frame rough product is sprayed with the excimer skin feeling finish, and the corner area of the middle frame rough product is sprayed with the excimer skin feeling finish; The middle frame rough product after spraying is subjected to ultraviolet curing treatment, so as to obtain the middle frame finished product.

7. The method of claim 1, wherein the method further comprises: forming a plurality of through holes in the first and second metal plates; and filling the through holes with a conductive material. The surface cleaning treatment is performed on the middle frame rough product, the excimer skin feeling finish is sprayed on the surface of the middle frame rough product after cleaning, so as to obtain the middle frame semi-finished product, which comprises: The surface cleaning treatment is performed on the middle frame rough product, the excimer skin feeling finish is sprayed on the surface of the middle frame rough product after cleaning, so as to obtain the middle frame semi-finished product, which comprises: The semi-finished product image of the middle frame semi-finished product is collected; According to the semi-finished product image and the middle frame structure drawing, the hole position coordinates on the middle frame semi-finished product are determined; According to the hole position coordinates, the middle frame semi-finished product is subjected to hole processing, so as to obtain the middle frame finished product.

8. The method of claim 1, wherein the method further comprises: The appearance and performance detection is performed on the middle frame finished product, so as to obtain the quality detection result, which comprises: The initial appearance images of the middle frame finished product at multiple different angles are collected; The initial appearance images are subjected to filtering and enhancement processing, so as to obtain the standardized appearance images; According to the standardized appearance images, the actual texture features, the coating surface features and the actual size data are extracted; According to the actual texture features and the leather texture design scheme, the leather texture detection result is obtained; According to the coating surface features, the flatness defect analysis is performed, so as to obtain the spraying detection result; According to the actual size data and the quality target data, the size precision detection result is obtained; According to the leather texture detection result, the spraying detection result and the size precision detection result, the quality detection result is obtained.

9. A production device of a mobile phone middle frame, characterized in that, Comprise: At least one memory; At least one processor; At least one program; The program is stored in the memory, and the processor executes at least one program to realize the preparation method of the mobile phone middle frame as claimed in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer executable signals, and the computer executable signals are used to execute the preparation method of the mobile phone middle frame as claimed in any one of claims 1 to 8.

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