Method for carrying out small-batch heat treatment on reversing valve element of hydraulic multi-way valve through laser quenching

Abstract

The invention relates to the technical field of laser quenching, and particularly discloses a method for carrying out small-batch heat treatment on a reversing valve element of a hydraulic multi-way valve through laser quenching, which comprises the following steps: based on the material and plating depth of the reversing valve element, adjusting parameters of a laser beam through a laser control unit; one end of the reversing valve element is clamped on a rotating chuck, and the other opposite end of the reversing valve element is jacked by an ejector pin seat; the motion trail of the mechanical arm is set so that the mechanical arm can drive the laser transmitter to do linear motion in the axial direction of the reversing valve element, and meanwhile the reversing valve element is driven by the rotating chuck to do circular motion so that laser beams generated by the laser transmitter can irradiate the surface of the reversing valve element; and the surface, irradiated by the laser beams, of the reversing valve element is rapidly cooled at the room temperature so that a high-hardness isolation layer can be formed on the surface of the reversing valve element. In this way, laser quenching treatment parameters can be adjusted according to the characteristics of materials and the personalized requirements of users, and possibility is provided for small-batch heat treatment and customized production.

Description

Technical Field

[0001] The present application relates to the technical field of laser quenching, and more specifically, to a method for performing small-batch heat treatment on a hydraulic multi-way valve reversing valve core by laser quenching. Background Art

[0002] Hydraulic multi-way valves play a vital role in modern industry, especially in engineering machinery, agricultural machinery and industrial automation systems. As one of the key components in hydraulic multi-way valves, the performance of the reversing valve core is directly related to the stability and efficiency of the entire hydraulic system. In order to improve the wear resistance, corrosion resistance and service life of the reversing valve core, it is necessary to perform surface heat treatment on it.

[0003] At present, the surface treatment technologies of valve cores are mainly electroplating hardening and heat treatment. Electroplating hardening is to use electroplating technology to plate a layer of metal material (such as nickel, chromium, etc.) on the surface of the valve core to improve its hardness and wear resistance, but harmful chemical solutions are used in the process, which will cause environmental and safety problems. Heat treatment is to change the physical and chemical properties of the valve core through the heating and cooling process of the heating furnace to improve its hardness and strength, but the process is relatively complex, time-consuming, and energy-consuming. High cost is not economical for small-batch production. Specifically, although traditional heat treatment methods such as flame quenching or induction quenching can enhance the hardness of the material, they are usually accompanied by a large heat-affected zone, which may cause deformation or stress concentration of parts. Especially for small-batch production or precision parts, the limitations of these traditional methods are more obvious.

[0004] Therefore, an optimized heat treatment solution for the hydraulic multi-way valve reversing valve core is desired. Summary of the invention

[0005] The present application provides a method for performing small-batch heat treatment on a hydraulic multi-way valve reversing valve core by laser quenching, which can adjust the laser quenching treatment parameters according to the characteristics of the material and the personalized needs of the user, thus providing the possibility for small-batch heat treatment and customized production.

[0006] According to one aspect of the present application, a method for performing small-batch heat treatment on a hydraulic multi-way valve reversing valve core by laser quenching is provided, comprising: Based on the material and coating depth of the reversing valve core, the parameters of the laser beam are adjusted by the laser control unit; Clamp one end of the reversing valve core on a rotating chuck and support the other opposite end of the reversing valve core with a thimble seat; The motion trajectory of the robot arm is set so that the robot arm drives the laser emitter to make a linear motion along the axial direction of the reversing valve core, and at the same time drives the reversing valve core to make a circular motion through the rotating chuck so that the laser beam generated by the laser emitter irradiates the surface of the reversing valve core; The surface of the reversing valve core irradiated with the laser beam is rapidly cooled at room temperature to form a high-hardness isolation layer on the surface of the reversing valve core.

[0007] The present application provides a method for laser quenching to perform small-batch heat treatment on the reversing valve core of a hydraulic multi-way valve. The method adjusts the parameters through a laser control unit. For the reversing valve core material and coating, one end is clamped on a rotating chuck and the other end is fixed by a pin seat. The robotic arm guides the laser transmitter to move axially, while the chuck drives the valve core to rotate so that the laser beam evenly irradiates the surface. After treatment, the surface of the valve core is rapidly cooled at room temperature to form a high-hardness isolation layer. In this way, the laser quenching treatment parameters can be adjusted according to the characteristics of the material and the personalized needs of the user, which provides the possibility for small-batch heat treatment and customized production. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments of the present application are briefly introduced below. Obviously, the drawings described below only relate to some embodiments of the present application, and are not intended to limit the present application.

[0009] Figure 1 A schematic flow chart of a method for performing small-batch heat treatment on a hydraulic multi-way valve reversing valve core by laser quenching according to an embodiment of the present application.

[0010] Figure 2 This is a schematic structural diagram of an apparatus for performing small-batch heat treatment on a hydraulic multi-way valve reversing valve core by laser quenching in an embodiment of the present application.

[0011] Figure 3 This is a schematic flow chart of step S1 in the method for performing small-batch heat treatment on the reversing valve core of a hydraulic multi-way valve by laser quenching according to an embodiment of the present application.

[0012] Figure 4 This is a schematic flow chart of step S15 in the method for performing small-batch heat treatment on the reversing valve core of a hydraulic multi-way valve by laser quenching according to an embodiment of the present application.

[0013] Figure 5 This is a schematic flow chart of step S152 in the method for performing small-batch heat treatment on the reversing valve core of a hydraulic multi-way valve by laser quenching according to an embodiment of the present application.

[0014] Among them, 1. Rotating chuck; 2. Ejector seat; 3. Robot arm; 4. Laser control unit; 5. Laser generator; 6. Reversing valve core. DETAILED DESCRIPTION

[0015] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present application.

[0016] In view of the above technical problems, in the technical solution of the present application, a method for heat treating a hydraulic multi-way valve reversing valve core in small batches by laser quenching is proposed, such as Figure 1 As shown, the method for laser quenching to perform small-batch heat treatment on the reversing valve core of a hydraulic multi-way valve comprises: S1, adjusting the parameters of the laser beam through a laser control unit based on the material and coating depth of the reversing valve core; S2, clamping one end of the reversing valve core on a rotating chuck and supporting the other opposite end of the reversing valve core with a pin seat; S3, setting the movement trajectory of the robot arm so that the robot arm drives the laser emitter to perform linear motion along the axial direction of the reversing valve core, and at the same time drives the reversing valve core to perform circular motion through the rotating chuck so as to irradiate the surface of the reversing valve core with the laser beam generated by the laser emitter; S4, the surface of the reversing valve core after the laser beam irradiation is rapidly cooled at room temperature to form a high-hardness isolation layer on the surface of the reversing valve core.

[0017] In the technical solution of the present application, laser quenching is used to perform small-batch heat treatment on the reversing valve core of the hydraulic multi-way valve. The hardness after quenching meets the use requirements and has the advantages of low cost, environmental protection and no pollution, which is particularly suitable for small-batch production. Specifically, the present application also provides a device for laser quenching to perform small-batch heat treatment on the reversing valve core of the hydraulic multi-way valve, such as Figure 2As shown, it includes: a rotating chuck 1, a pin seat 2, a robot arm 3, a laser control unit 4 (installed on the base of the robot arm, as shown in the figure), and a laser generator 5 (installed at the end of the robot arm, as shown in the figure), wherein the laser control unit 4 is used to adjust the parameters of the laser beam (including parameters such as laser power / spot diameter / laser wavelength) to match the laser beam parameters with the material properties and design requirements of the reversing valve core. The reversing valve core 6 to be processed is clamped by the rotating chuck 1 and supported by the pin seat 2 at the tail end to ensure the coaxiality of the valve core when rotating. The robot arm 3 is integrated with a laser generator 5. The movement of the robot arm 3 can drive the laser beam of the laser generator 5 to make horizontal linear motion on the surface of the reversing valve core, starting from one end of the reversing valve core 6. At the same time, the rotating chuck 1 drives the reversing valve core 6 to make circular motion. The horizontal linear motion rate of the robot arm 3 must meet the heating time of a single position of the reversing valve core 6, so that each position on the surface of the reversing valve core 6 is irradiated by the laser beam at a specific time. The metal on the surface of the reversing valve core 6 will be melted at high temperature in a short time, and the surface irradiated by the laser beam will be quickly cooled at room temperature. After cooling, a high-hardness isolation layer will be generated on the surface of the reversing valve core 6. Reasonable control of parameters will ensure that the valve core surface does not undergo significant deformation, thereby improving the hardness and wear resistance of the material.

[0018] Exemplarily, in step S1, the parameters of the laser beam are adjusted by the laser control unit based on the material and coating depth of the reversing valve core. It should be understood that in the above-mentioned method of laser quenching for small-batch heat treatment of the hydraulic multi-way valve reversing valve core, the process of adjusting the parameters of the laser beam by the laser control unit is crucial. Different reversing valve cores may be made of different types of metals or alloys, and each material responds differently to heat treatment. For example, some materials may achieve the desired hardness improvement at a lower temperature, while others require a higher temperature. Therefore, adjusting the parameters of the laser beam (such as power, wavelength, etc.) according to the specific material properties can ensure that the quenching process does not cause the material to overheat or fail to harden sufficiently. In addition, in order to meet specific application requirements, the hardened layer formed on the surface of the reversing valve core needs to reach a certain depth. If the laser energy is too high or the irradiation time is too long, the hardened layer may be too deep, affecting the internal structure of the valve core; conversely, if the energy is insufficient, a sufficient hardened layer thickness cannot be formed. Therefore, by accurately setting the laser parameters, it can be optimized according to the required coating depth to ensure the established performance indicators.

[0019] Based on this, in the process of adjusting the laser beam parameters, it is necessary to adjust according to the material properties of the reversing valve core and the required coating depth, so that the laser quenching process is more in line with actual needs and ensures high-quality product output. Specifically, in the process of adjusting the parameters of the laser beam based on the material and coating depth of the reversing valve core and through the laser control unit, the technical concept of this application is to collect the surface material state image of the reversing valve core through a high-definition camera, and collect the coating depth data input by the user, and then introduce artificial intelligence-based data processing and image analysis algorithms at the back end to perform cross-domain fine-grained aggregation analysis on the surface material state image of the reversing valve core and the coating depth data, so as to adaptively adjust the laser parameters, such as laser power, to ensure a better quenching effect. In this way, the laser quenching processing parameters can be adjusted according to the characteristics of the material and the personalized needs of the user, which provides the possibility for small-batch heat treatment and customized production.

[0020] Specifically, in the technical solution of the present application, if Figure 3 As shown, based on the material and coating depth of the reversing valve core, the parameters of the laser beam are adjusted by a laser control unit, including: S11, collecting the surface material state image of the reversing valve core by a high-definition camera; S12, obtaining the coating depth data input by the user; S13, extracting the state features of the surface material state image to obtain the surface material state features of the reversing valve core; S14, performing high-dimensional space mapping on the coating depth to obtain the low-dimensional embedded coding features of the coating depth; S15, performing cross-domain fine-grained aggregation analysis on the surface material state features of the reversing valve core and the low-dimensional embedded coding features of the coating depth to obtain the cross-modal fine-grained interactive coding features of the reversing valve core material state-coating depth; S16, performing laser parameter control based on the cross-modal fine-grained interactive coding features of the reversing valve core material state-coating depth to determine the recommended decoding value of the laser power.

[0021] Exemplarily, in step S11, a surface material state image of the reversing valve core is collected by a high-definition camera. It should be understood that the state of the reversing valve core surface is directly related to the effect of laser quenching, including the formation quality of the hardened layer, the hardness distribution, and the final wear resistance. Therefore, before laser quenching, it is very necessary to understand and analyze the material properties of the valve core surface. The high-definition camera can provide high-resolution images, allowing the system to identify surface fine structures and possible defects, such as scratches, oxide layers or other impurities, which will affect the interaction between the laser and the material.

[0022] In one embodiment, the surface material state image of the reversing valve core is collected by a high-definition camera, including: first, the reversing valve core to be processed needs to be placed in a stable position to ensure that it can rotate smoothly under the action of the rotating chuck. Then, a device equipped with a high-definition camera is used to aim at the surface of the reversing valve core to take high-quality photos or video clips from multiple angles. In this process, the camera should have sufficient optical magnification to capture surface details, and it is best to be equipped with appropriate lighting conditions to enhance contrast so as to more clearly show the surface features.

[0023] Exemplarily, in step S12, the coating depth data input by the user is obtained. It should be understood that in the small batch heat treatment process of the hydraulic multi-way valve reversing valve core, the coating depth is a key parameter, which directly affects the performance of the final product, such as hardness, wear resistance and corrosion resistance. Different application scenarios may have different requirements for these properties, so the user needs to specify the required coating depth according to the actual use conditions. By accurately obtaining this information, the system can more accurately adjust the parameters of laser quenching, such as laser power and irradiation time, to ensure that the hardened layer formed is neither too deep nor too shallow, so as to achieve the ideal material properties without affecting the internal structure or causing unnecessary deformation.

[0024] In one embodiment, when preparing for laser hardening, the user enters the desired coating depth value through a human-machine interface (HMI) or other software platform. This interface is usually designed to be intuitive and easy to use, allowing the user to directly enter the value or select from preset options. Once the user provides the coating depth data, the information will be integrated into the overall process control system.

[0025] Exemplarily, in step S13, the state feature extraction of the surface material state image is performed to obtain the state feature of the surface material of the reversing valve core. It should be understood that, considering that the surface material state image of the reversing valve core contains the surface material characteristics of the reversing valve core and the semantic feature information related to the subsequent laser quenching parameter adjustment task. Therefore, it is necessary to capture the state information of the reversing valve core surface at different scales, such as microstructure, texture and possible defects. For laser quenching, understanding this multi-scale information helps to more accurately predict the response of the material to heat treatment. However, since traditional downsampling methods (such as maximum pooling or ordinary convolution) may lose some important details, the hollow pyramid network model can obtain a wide range of contextual information while maintaining high resolution. This is very important for identifying and evaluating the specific situation of the reversing valve core surface, because it ensures that even subtle changes will not be ignored, so that more accurate laser parameter adjustments can be made. Based on this, in the technical solution of the present application, the surface material state image is further passed through a surface material state feature extractor based on a hollow pyramid network model to obtain a surface material state feature map of the reversing valve core. In particular, through the processing of the surface material state feature extractor based on the hollow pyramid network model, the multi-scale feature representation information of the surface material state of the reversing valve core in the surface material state image can be captured, providing a basis for subsequent laser power control. It is worth mentioning that when facing new reversing valve core materials, the model can still provide reliable analysis results, improving the flexibility and adaptability of the entire system.

[0026] In one embodiment, state feature extraction is performed on the surface material state image to obtain the surface material state feature of the reversing valve core, including: passing the surface material state image through a material surface state feature extractor based on a hollow pyramid network model to obtain a reversing valve core surface material state feature map as the reversing valve core surface material state feature.

[0027] Exemplarily, in step S14, the coating depth is mapped to a high-dimensional space to obtain a low-dimensional embedded coding feature of the coating depth. It should be understood that since the coating depth is a laser quenching requirement set by the user, in order to convert it into a form that can be processed by a computer, in the technical solution of the present application, the coating depth is uniquely encoded to obtain a low-dimensional embedded coding vector of the coating depth. By uniquely encoding, the coating depth value can be mapped to a point in a high-dimensional space, which can increase the model's ability to distinguish different coating depths, and help capture more complex patterns, providing a basis for subsequent laser parameter control tasks.

[0028] In one embodiment, high-dimensional space mapping is performed on the coating depth to obtain a low-dimensional embedded coding feature of the coating depth, including: one-hot encoding is performed on the coating depth to obtain a low-dimensional embedded coding vector of the coating depth as the low-dimensional embedded coding feature of the coating depth.

[0029] Exemplarily, in step S15, the reversing valve core surface material state feature and the coating depth low-dimensional embedded coding feature are subjected to cross-domain fine-grained aggregation analysis to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature. It should be understood that since the reversing valve core surface material state feature map and the coating depth low-dimensional embedded coding vector respectively contain multi-scale feature representations of the reversing valve core surface material state and coating depth low-dimensional embedded coding representations, these two features jointly affect the subsequent laser parameter control and small batch heat treatment. In addition, since the surface material characteristics and required coating depth of each reversing valve core may be different, it is difficult for traditional methods to meet such personalized production needs. Based on this, in order to extract the correlation and interactive information between the characteristics of the material state of the reversing valve core surface and the low-dimensional embedded features of the coating depth, and provide a basis for adjusting the laser parameters, in the technical solution of the present application, the characteristics of the material state of the reversing valve core surface and the low-dimensional embedded coding features of the coating depth are further subjected to cross-domain fine-grained aggregation analysis to obtain the cross-modal fine-grained interactive coding features of the reversing valve core material state-coating depth. In particular, through the processing of the cross-domain fine-grained aggregation analysis, the pseudo clustering center between the reversing valve core material state characteristics and the coating depth embedded coding features can be used as an anchor bridge to integrate the data of these two different modes to achieve deeper information extraction and feature representation, thereby performing fine-grained information fusion and aggregation at different feature levels to generate a fine-grained complex semantic structure and interactive coding features that can accurately reflect the cross-modal fine-grained complex semantic features of the reversing valve core material state-coating depth, and provide a basis for subsequent laser parameters.

[0030] In one embodiment, Figure 4 As shown, cross-domain fine-grained aggregation analysis is performed on the reversing valve core surface material state feature and the coating depth low-dimensional embedded coding feature to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature, including: S151, modal kernel feature extraction is performed on the reversing valve core surface material state feature to obtain the reversing valve core surface material state kernel feature; S152, based on the coating depth low-dimensional embedded coding feature and the reversing valve core surface material state kernel feature, fine-grained feature aggregation description processing is performed on the reversing valve core surface material state feature to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature.

[0031] In one embodiment, in step S151, the material state feature of the reversing valve core surface is subjected to modal kernel feature extraction to obtain the material state kernel feature of the reversing valve core surface, including: inputting the material state feature map of the reversing valve core surface into a modal kernel feature extraction network to obtain the reversing valve core surface material state kernel feature encoding vector as the reversing valve core surface material state kernel feature. Specifically, the process can be expressed by the formula: ; in, is a characteristic diagram of the material state of the reversing valve core surface, is the eigendecomposition, , , , and are respectively the first, second, and third in the set of the reversing valve core surface material state feature vectors obtained after the reversing valve core surface material state feature map is subjected to feature decoupling and flattening processing. , and The material state feature vector of the reversing valve core surface, represents the kernel feature extraction operation, represents the one-norm of the eigenvector, The number of vectors in the set of characteristic vectors representing the surface material state of the reversing valve core is reduced by one, yes The corresponding semantic difference value of the reversing valve core surface material state, Indicated by natural constant The exponential function with base , is the number of vectors in the set of characteristic vectors of the surface material state of the reversing valve core, It is the kernel feature encoding vector of the material state of the reversing valve core surface.

[0032] In one embodiment, in step S152, Figure 5As shown, based on the low-dimensional embedded coding feature of the coating depth and the kernel feature of the material state of the reversing valve core surface, the material state feature of the reversing valve core surface is subjected to fine-grained feature aggregation description processing to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature, including: S1521, based on the low-dimensional embedded coding vector of the coating depth and the kernel feature coding vector of the material state of the reversing valve core surface, a laser beam parameter prior clustering center coding vector is determined; S1522, the reversing valve core surface material state feature map is subjected to feature decoupling and feature flattening processing to obtain a set of reversing valve core surface material state feature vectors; S1523, the laser beam parameter prior clustering center coding vector and the set of reversing valve core surface material state feature vectors are input into a cross-domain fine-grained aggregation descriptor based on the clustering center to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector as the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature.

[0033] In one embodiment, in step S1521, based on the coating depth low-dimensional embedding coding vector and the reversing valve core surface material state kernel feature coding vector, determining the laser beam parameter prior cluster center coding vector includes: cascading the coating depth low-dimensional embedding coding vector and the reversing valve core surface material state kernel feature coding vector, and linearly transforming the cascaded reversing valve core material state-coating depth feature vector to obtain the laser beam parameter prior cluster center coding vector. Specifically, the process can be expressed as follows: ; in, is the low-dimensional embedding encoding vector of the coating depth, For cascade operation, is the weight transformation matrix, is the bias vector, is the laser beam parameter prior cluster center encoding vector.

[0034] In one embodiment, in step S1523, the set of the laser beam parameter prior cluster center encoding vector and the reversing valve core surface material state feature vector is input into the cross-domain fine-grained aggregation descriptor based on the cluster center to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive encoding vector as the reversing valve core material state-coating depth cross-modal fine-grained interactive encoding feature, including: using a semantic measurement module of an inverse hyperbolic cosine function to perform semantic distance measurement on each reversing valve core surface material state feature vector in the set of the reversing valve core surface material state feature vector and the laser beam parameter prior cluster center encoding vector to obtain a set of reversing valve core material state-coating depth semantic measurement coefficients. Specifically, the process can be expressed by a formula as follows: ; in, is the square of the vector length, is the inverse hyperbolic cosine function, for and The semantic measurement coefficient of the reversing valve core material state-plating depth between them.

[0035] A binary function is used to perform clustering judgment on the set of semantic metric coefficients of the reversing valve core material state-coating depth to obtain a set of semantic clustering coefficients of the reversing valve core material state-coating depth. Specifically, the process can be expressed by the formula: ; in, is the first in the set of semantic clustering coefficients of reversing valve core material state-plating depth The semantic clustering coefficient of the material state of the reversing valve core and the coating depth, is the preset threshold.

[0036] Based on the set of semantic clustering coefficients of the reversing valve core material state-coating depth, the set of the laser beam parameter prior clustering center encoding vector and the reversing valve core surface material state feature vector are aggregated to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive encoding vector. Specifically, the process can be expressed by the formula: ; in, is the first in the set of semantic clustering coefficients of reversing valve core material state-plating depth The semantic clustering coefficient of the material state of the reversing valve core and the coating depth, It is the cross-modal fine-grained interaction encoding vector of the reversing valve core material state-plating depth.

[0037] Specifically, cross-domain fine-grained aggregation analysis can introduce a modal kernel feature extraction mechanism, which can effectively find a mapping method while maintaining the unique properties of the two modalities, namely, the material state characteristics of the reversing valve core and the embedded coding characteristics of the coating depth, so that the data features from different modalities can be reasonably compared and combined in a common space. In addition, by applying a cross-domain fine-grained aggregation descriptor, it can decouple and flatten the local characteristics of the material state of the reversing valve core surface, and implement weighted aggregation operations based on predefined or dynamically adjusted clustering centers, which can accurately extract information and represent the fine-grained interactive characteristics of the reversing valve core material state-coating depth at a fine-grained level, providing a scientific basis and technical support for laser quenching, which is conducive to subsequent laser parameter control, thereby helping to ensure high-quality product output.

[0038] Exemplarily, in step S16, laser parameter control is performed based on the cross-modal fine-grained interactive coding features of the reversing valve core material state-coating depth to determine the recommended decoding value of the laser power. In one embodiment, laser parameter control is performed based on the cross-modal fine-grained interactive coding features of the reversing valve core material state-coating depth to determine the recommended decoding value of the laser power, including: passing the cross-modal fine-grained interactive coding vector of the reversing valve core material state-coating depth through a decoder-based laser parameter control module to obtain the recommended decoding value of the laser power. In other words, decoding regression is performed using the cross-modal fine-grained interactive representation information between the state characteristics of the reversing valve core material and the semantics of the coating depth, so as to adaptively adjust the laser parameters, such as laser power, to ensure a better quenching effect. In this way, the laser quenching processing parameters can be adjusted according to the characteristics of the material and the personalized needs of the user, which provides the possibility for small-batch heat treatment and customized production.

[0039] In one embodiment, the decoder-based laser parameter control module uses a fully connected network (DenseLayers). Specifically, the task of the first fully connected layer is preliminary dimensionality reduction. It accepts the input encoding vector and performs a linear transformation through a weight matrix and a bias term. It is followed by an activation function, such as ReLU (Rectified LinearUnit), which is used to introduce nonlinear characteristics so that the model can capture complex patterns in the data. The choice of activation function can be adjusted according to actual needs, such as Leaky ReLU or ELU, which can alleviate the gradient vanishing problem to a certain extent and promote the learning of deeper networks. Next, more fully connected layers can be added, and each layer continues to perform similar linear transformation plus nonlinear activation operations, gradually reducing the number of features until a suitable intermediate representation is reached. Finally, an output layer is placed at the end of the entire network, which contains only one neuron because it is responsible for outputting a single laser power recommended decoded value. This output neuron generally uses a linear activation function because the goal of this application is to predict the laser power setting within a continuous value range, rather than a classification task.

[0040] Preferably, considering that the reversing valve core surface material state feature map and the coating depth low-dimensional embedded coding vector represent the semantic coding features of the reversing valve core surface material state image and the coating depth low-dimensional embedded coding features respectively, when performing cross-domain fine-grained aggregation analysis based on modal prior, the significant differences in feature modes, feature depths and feature dimensions will cause the modal prior expression to be distorted, resulting in insufficient long-distance cross-domain fine-grained aggregation representation of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector, thereby reducing the expression effect of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector, affecting the accuracy of the laser power recommended decoding value obtained by inputting the decoder-based laser parameter control module.

[0041] Therefore, in one example, when the reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector is input into a decoder-based laser parameter control module, the reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector is optimized, and the optimization includes the following steps: Arrange the eigenvalues ​​of the reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector in ascending order to form a reversing valve core material state-coating depth cross-modal fine-grained interactive sequential coding vector; In response to the first of the reversing valve core material state-plating depth cross-modal fine-grained interaction sequence encoding vectors The eigenvalue and The absolute value of the difference between the eigenvalues ​​is less than or equal to the distance difference hyperparameter , calculate the The eigenvalues ​​are similar to the The weighted sum between the eigenvalues ​​is the optimized Eigenvalue ,in, and Represent different weight hyperparameters, and The first and second vectors of the cross-modal fine-grained interaction sequence encoding vector of the reversing valve core material state-plating depth are represented respectively. Eigenvalues ​​and Eigenvalues, Represents the optimized Eigenvalue; In response to the first of the reversing valve core material state-plating depth cross-modal fine-grained interaction sequence encoding vectors The eigenvalue and The absolute value of the difference between the eigenvalues ​​is greater than the distance difference hyperparameter : Calculate the square root of the sum of the squares of all eigenvalues ​​of the reversing valve core material state-coating depth cross-modal fine-grained interaction encoding vector, multiply the square root by 2, and then divide it by the square of the length of the reversing valve core material state-coating depth cross-modal fine-grained interaction encoding vector to obtain the reversing valve core material state-coating depth cross-modal fine-grained interaction space primitive value ; The cross-modal fine-grained interaction space primitive value of the reversing valve core material state-plating depth Multiply by the After the eigenvalue, calculate the product with the first The weighted reduction between the eigenvalues ​​is the optimized Eigenvalue ,in, and Represent different weight hyperparameters respectively; The optimization of the cross-modal fine-grained interactive sequential encoding vector of the reversing valve core material state-plating depth is combined. The eigenvalue is used to obtain the optimized reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector, wherein the first eigenvalue of the reversing valve core material state-coating depth cross-modal fine-grained interactive sequential coding vector remains unchanged.

[0042] In this way, in order to address the problem of insufficient global cross-domain fine-grained aggregation representation capability of the feature set of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector under a predetermined eigenvalue sequential distribution due to a long distance exceeding a predetermined local distribution interval threshold, a high-dimensional feature space primitive representation based on self-inner product fusion of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector is used to capture the complex structure of the global network interaction of its eigenvalues, thereby reconstructing the cross-domain fine-grained aggregation relationship between the eigenvalues ​​of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector by simulating the scale-based high-dimensional feature space potential primitives, so as to realize the encoding reconstruction of the real sequence distribution behavior of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector under a long distance, improve the encoding expression effect of the reversing valve core material state-coating depth cross-modal fine-grained interaction coding vector, and improve the accuracy of the laser power recommended decoding value obtained by its input into the decoder-based laser parameter control module. In this way, the laser quenching processing parameters can be adjusted according to the characteristics of the material and the personalized needs of the user, which makes small-batch heat treatment and customized production possible.

[0043] Exemplarily, in step S2, one end of the reversing valve core is clamped on a rotating chuck and the other opposite end of the reversing valve core is supported by a pin seat. It should be understood that in the process of laser quenching for small-batch heat treatment of the hydraulic multi-way valve reversing valve core, it is necessary to ensure the stability and precise position of the reversing valve core. To this end, one end of the reversing valve core is fixed on the rotating chuck during operation, while the other opposite end is supported and fixed by the pin seat. This clamping method not only provides the necessary mechanical stability, but also allows the reversing valve core to achieve precise circular motion during the processing process, thereby ensuring that the laser beam can evenly irradiate every part of the reversing valve core surface. Specifically, the rotating chuck is a precision mechanical device that can firmly clamp one end of the reversing valve core and can rotate smoothly under the drive of a motor. In this way, the reversing valve core can make a circular motion around its own axis so that the entire surface can be covered by the laser beam. At the same time, in order to maintain the straightness of the reversing valve core and prevent it from deflecting or vibrating during rotation, a pin seat is used to apply appropriate support force to the reversing valve core from the other end. The pin seat usually has an adjustable design, and the position of the pin can be adjusted according to the specific size of the reversing valve core to ensure the best contact and support effect.

[0044] Exemplarily, in step S3, the motion trajectory of the robot arm is set so that the robot arm drives the laser emitter to make a linear motion along the axial direction of the reversing valve core, and at the same time, the rotating chuck drives the reversing valve core to make a circular motion so that the laser beam generated by the laser emitter can irradiate the surface of the reversing valve core. It should be understood that in the process of laser quenching for small-batch heat treatment of the reversing valve core of the hydraulic multi-way valve, in order to ensure that the laser beam can evenly and accurately irradiate the entire surface of the reversing valve core, the motion trajectory of the robot arm must be carefully set. This process involves two key actions: on the one hand, the robot arm drives the laser emitter to make a linear motion along the axial direction of the reversing valve core; on the other hand, the rotating chuck drives the reversing valve core to make a circular motion around its axis. The combination of these two movements can achieve full coverage of the surface of the reversing valve core by the laser beam.

[0045] Specifically, the robot arm is a highly flexible and programmable automated device equipped with a precision servo motor and control system that can move precisely along a preset path. In this application, the robot arm is programmed to move linearly along the axial direction of the reversing valve core (i.e., from one end to the other), while keeping the position of the laser emitter always pointing to the surface of the reversing valve core. As the robot arm translates, the laser emitter can scan the entire surface area line by line to ensure that each position can receive a predetermined dose of laser energy. At the same time, the rotating chuck mounted on the base is responsible for clamping and driving the reversing valve core to move in a circular motion. When the robot arm moves along the axial direction, the rotating chuck rotates synchronously, so that different parts of the reversing valve core surface are exposed to the laser beam in turn. This synergy is similar to the spiral scanning method, ensuring that the laser beam can form a continuous and uniform irradiation path on the entire cylindrical surface of the reversing valve core. By adjusting the speed of the robot arm and the rotation speed of the rotating chuck, the time the laser beam stays at each point can be controlled, thereby affecting the heating depth and the thickness of the hardened layer.

[0046] Exemplarily, in step S4, the surface of the reversing valve core after the laser beam irradiation is rapidly cooled at room temperature to form a high-hardness isolation layer on the surface of the reversing valve core. It should be understood that in the process of laser quenching the reversing valve core of the hydraulic multi-way valve, after the laser beam completes the irradiation of the reversing valve core surface, the heated area will be rapidly cooled at room temperature. This rapid cooling process is achieved through natural heat dissipation, that is, no additional cooling medium or equipment is required. Since the high temperature generated during laser beam irradiation is only concentrated in a very thin layer (usually at the micron level) on the surface of the reversing valve core, after the irradiation is completed, the heat can be quickly dissipated into the surrounding environment, causing the temperature of this area to drop sharply. This rapid cooling effect causes the microstructure of the material to undergo a phase change, forming an isolation layer with high hardness and excellent wear resistance. The characteristics of this high-hardness isolation layer are mainly reflected in the following aspects: First, its hardness is significantly higher than that of the original substrate, usually reaching HRC60 or above, and the specific value depends on the substrate material and the laser parameter setting. Secondly, the isolation layer has good corrosion resistance and can effectively protect the reversing valve core from chemical erosion under harsh working conditions. In addition, this layer also exhibits a low coefficient of friction and high fatigue resistance, which helps to extend the service life of the reversing valve core and improve the overall stability of the system.

[0047] In summary, the method of laser quenching for small-batch heat treatment of the reversing valve core of the hydraulic multi-way valve according to the embodiment of the present application is explained, which adjusts the parameters through the laser control unit, and clamps one end of the reversing valve core material and coating on the rotating chuck, and the other end is fixed by the ejector seat. The robotic arm guides the laser transmitter to move axially, and the chuck drives the valve core to rotate, so that the laser beam evenly irradiates the surface. After treatment, the surface of the valve core is rapidly cooled at room temperature to form a high-hardness isolation layer. In this way, the laser quenching treatment parameters can be adjusted according to the characteristics of the material and the personalized needs of the user, which provides the possibility for small-batch heat treatment and customized production.

[0048] The prefixes such as "first" and "second" used in the embodiments of the present application are only used to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers used to distinguish description objects in the embodiments of the present application does not constitute a limitation on the described objects. For the description of the described objects, please refer to the description of the context in the embodiments, and the use of such prefixes should not constitute an unnecessary limitation.

[0049] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0050] In the various embodiments of the present application, unless otherwise specified or logically conflicting, the terms and / or descriptions between the various embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0051] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0052] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0053] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for heat treating a hydraulic multi-way valve reversing valve core in small batches by laser quenching, characterized in that: include: Based on the material and coating depth of the reversing valve core, the parameters of the laser beam are adjusted by the laser control unit; Clamp one end of the reversing valve core on a rotating chuck and support the other opposite end of the reversing valve core with a thimble seat; The motion trajectory of the robot arm is set so that the robot arm drives the laser emitter to make a linear motion along the axial direction of the reversing valve core, and at the same time drives the reversing valve core to make a circular motion through the rotating chuck so that the laser beam generated by the laser emitter irradiates the surface of the reversing valve core; The surface of the reversing valve core after being irradiated by the laser beam is rapidly cooled at room temperature to form a high-hardness isolation layer on the surface of the reversing valve core; Among them, based on the material and coating depth of the reversing valve core, the parameters of the laser beam are adjusted by the laser control unit, including: The surface material state image of the reversing valve core is collected by a high-definition camera; Obtaining coating depth data input by the user; Extracting state features of the surface material state image to obtain the state features of the reversing valve core surface material; Performing high-dimensional spatial mapping on the coating depth to obtain a low-dimensional embedded coding feature of the coating depth; The cross-domain fine-grained aggregation analysis is performed on the reversing valve core surface material state feature and the coating depth low-dimensional embedded coding feature to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature, including: extracting the modal kernel feature of the reversing valve core surface material state feature to obtain the reversing valve core surface material state kernel feature; based on the coating depth low-dimensional embedded coding feature and the reversing valve core surface material state kernel feature, the fine-grained feature aggregation description processing is performed on the reversing valve core surface material state feature to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature; Laser parameter control is performed based on the cross-modal fine-grained interactive coding features of the reversing valve core material state-plating depth to determine the recommended decoding value of the laser power.

2. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 1 is characterized in that: The state feature extraction of the surface material state image is performed to obtain the surface material state feature of the reversing valve core, including: the surface material state image is passed through a material surface state feature extractor based on a hollow pyramid network model to obtain a reversing valve core surface material state feature map as the reversing valve core surface material state feature.

3. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 2 is characterized in that: The coating depth is mapped into a high-dimensional space to obtain a low-dimensional embedding coding feature of the coating depth, including: one-hot encoding the coating depth to obtain a coating depth low-dimensional embedding coding vector as the coating depth low-dimensional embedding coding feature.

4. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 3 is characterized in that: The material state characteristics of the reversing valve core surface are subjected to modal kernel feature extraction to obtain the material state kernel characteristics of the reversing valve core surface, including: inputting the material state characteristic map of the reversing valve core surface into a modal kernel feature extraction network to obtain the material state kernel characteristic encoding vector of the reversing valve core surface as the material state kernel characteristic of the reversing valve core surface.

5. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 4 is characterized in that: Based on the coating depth low-dimensional embedding coding feature and the reversing valve core surface material state kernel feature, the reversing valve core surface material state feature is subjected to fine-grained feature aggregation description processing to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive coding feature, including: Determine a priori cluster center coding vector of laser beam parameters based on the coating depth low-dimensional embedding coding vector and the reversing valve core surface material state kernel feature coding vector; Performing feature decoupling and feature flattening processing on the reversing valve core surface material state feature map to obtain a set of reversing valve core surface material state feature vectors; The set of the laser beam parameter prior cluster center encoding vector and the reversing valve core surface material state feature vector is input into the cross-domain fine-grained aggregation descriptor based on the cluster center to obtain the reversing valve core material state-coating depth cross-modal fine-grained interaction encoding vector as the reversing valve core material state-coating depth cross-modal fine-grained interaction encoding feature.

6. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 5 is characterized in that: Based on the coating depth low-dimensional embedding coding vector and the reversing valve core surface material state kernel feature coding vector, a laser beam parameter prior clustering center coding vector is determined, including: cascading the coating depth low-dimensional embedding coding vector and the reversing valve core surface material state kernel feature coding vector, and linearly transforming the cascaded reversing valve core material state-coating depth feature vector to obtain the laser beam parameter prior clustering center coding vector.

7. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 6 is characterized in that: Inputting the set of the laser beam parameter prior cluster center encoding vector and the reversing valve core surface material state feature vector into a cross-domain fine-grained aggregation descriptor based on the cluster center to obtain the reversing valve core material state-plating depth cross-modal fine-grained interactive encoding vector as the reversing valve core material state-plating depth cross-modal fine-grained interactive encoding feature, including: Using a semantic measurement module of an inverse hyperbolic cosine function, a semantic distance measurement is performed between each reversing valve core surface material state feature vector in the set of the reversing valve core surface material state feature vectors and the laser beam parameter priori cluster center encoding vector to obtain a set of reversing valve core material state-plating depth semantic measurement coefficients; Using a binary function to perform clustering judgment on the set of semantic metric coefficients of the reversing valve core material state-plating depth to obtain a set of semantic clustering coefficients of the reversing valve core material state-plating depth; Based on the set of semantic clustering coefficients of the reversing valve core material state-coating depth, the set of laser beam parameter prior clustering center encoding vectors and the reversing valve core surface material state feature vectors are aggregated to obtain the reversing valve core material state-coating depth cross-modal fine-grained interactive encoding vector.

8. The method for heat treating the hydraulic multi-way valve reversing valve core by laser quenching in small batches according to claim 7 is characterized in that: Based on the reversing valve core material state-coating depth cross-modal fine-grained interactive coding characteristics, laser parameter control is performed to determine the laser power recommended decoding value, including: passing the reversing valve core material state-coating depth cross-modal fine-grained interactive coding vector through a decoder-based laser parameter control module to obtain the laser power recommended decoding value.

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