An intelligent heat treatment production line for thin forks and its control method

Abstract

The present invention belongs to the technical field of production control of heat treatment of thin shift forks, and relates to an intelligent heat treatment production line for thin shift forks and a control method thereof. The control method is characterized in that the material parameters of the workpiece are obtained; the corresponding heat treatment parameters are obtained from a heat treatment sample database; a heat treatment control database is constructed; initial heat treatment control parameters are obtained; a heat treatment parameter control model is constructed according to the material parameters of the workpiece, the corresponding heat treatment parameters and the heat treatment control database; and the real-time deformation parameters of the workpiece are obtained during the heat treatment process to form a real-time deformation parameter set. The beneficial effects of the present invention are: providing real-time deformation parameters, real-time monitoring of the deformation state of the thin shift fork, and real-time correction based on the deformation correction data, providing accurate data and effective improvement measures for fully improving the deformation of the thin shift fork during heat treatment.

Description

Technical Field

[0001] The invention belongs to the technical field of production control of heat treatment of thin shift forks, and in particular relates to an intelligent heat treatment production line for thin shift forks and a control method thereof. Background Art

[0002] The thin shift fork involved in the present invention is a component of an automobile gearbox, connected to a shift handle, located at the lower end of the handle, and is used to shift the intermediate shift wheel to change the input-output speed ratio; the shift fork is a C-shaped flat plate-like part, and since the ratio of its thickness to its length is less than 0.15, it is prone to warping and deformation during heat treatment.

[0003] Chinese invention patent CN201010596419.X discloses a vertical wafer boat support for semiconductor heat treatment equipment, wherein the support is a thin circular ring structure, the upper surface of the ring has a circular groove, and the diameter of the ring is greater than or equal to the diameter of the wafer. The present invention provides a support for assisting the wafer boat in supporting the wafer, which can effectively prevent the wafer from sliding, slipping and elastic deformation during high temperature heat treatment.

[0004] Chinese invention patent CN200610054401.0 discloses a method for correcting a thin flat gasket after heat treatment, which is characterized in that it includes the following steps: 1) clamping and flattening the thin gasket after heat treatment with a die fixture; 2) placing the die fixture in a tempering furnace for tempering, the tempering temperature is 10℃-20℃ higher than the tempering temperature during the first heat treatment, and the tempering time is 90 minutes; 3) taking out the die fixture and cooling it to ambient temperature; 4) taking out the thin gasket to complete the correction. The method of the present invention can correct flat gaskets with a thickness of less than 2 mm and a high hardness. The present invention has a good correction effect, is easy to operate, and can also improve the qualified rate of products.

[0005] The above prior art all discloses clamping thin workpieces by molds or fixtures to correct the deformation of workpieces during heat treatment. However, the carbon content, metallographic structure and stress of each workpiece material are different. Among them, high carbon content means high hardness, but poor toughness, high tendency to crack during heat treatment and poor weldability. Too low carbon content means low hardness, poor hardenability and wear resistance. The uneven heating and cooling during heat treatment and the unequal phase change will produce internal stress, which will cause internal stress plastic deformation under certain plastic conditions. During the heating and cooling process, the different heating and cooling speeds of the inner and outer layers of the parts cause inconsistent temperatures at different locations, resulting in different degrees of thermal expansion and contraction. During the heat treatment process, the tissue specific volumes of various phase structures are different, and volume and size changes will occur during phase change, which is related to the content of carbon and gold elements in austenite, the amount of free phase carbides and ferrite, the difference in tissue specific volume change before and after quenching, the amount of residual austenite and the hardenability of steel.

[0006] Therefore, fixed molds or fixtures for clamping thin workpieces cannot cope with the problem of workpiece deformation during heat treatment in mass production, and deformation correction is still required after heat treatment. Summary of the invention

[0007] The goal to be achieved by the present invention is to solve the technical problem in the prior art that since the carbon content, metallographic structure and stress of each workpiece material are different, fixed molds or fixtures are used to clamp thin workpieces, which cannot cope with the problem of workpiece deformation during heat treatment in mass production, and deformation correction is still required after heat treatment.

[0008] In order to achieve the above objectives, the present invention provides an intelligent heat treatment production line for a thin shift fork and a control method thereof.

[0009] The specific technical solution adopted by the present invention is:

[0010] A control method for an intelligent heat treatment production line of a thin shift fork, to obtain material parameters of the workpiece;

[0011] According to the material parameters of the workpiece, corresponding heat treatment parameters are obtained from a heat treatment sample database;

[0012] Build heat treatment control database;

[0013] Inputting the material parameters of the workpiece and the corresponding heat treatment parameters into a heat treatment control database to obtain initial heat treatment control parameters;

[0014] Constructing a heat treatment parameter control model according to the material parameters of the workpiece, the corresponding heat treatment parameters and a heat treatment control database, wherein the heat treatment parameter control model includes a heat treatment adjustment sub-model and a deformation compensation sub-model;

[0015] Performing heat treatment on the workpiece using the initial heat treatment control parameters, obtaining real-time deformation parameters of the workpiece during the heat treatment process, and forming a real-time deformation parameter set;

[0016] After the real-time deformation parameter set is normalized, it is input into the heat treatment adjustment sub-model to obtain the heat treatment real-time adjustment control parameters; after the real-time deformation parameter set is normalized, it is input into the deformation compensation sub-model to obtain the deformation compensation control parameters;

[0017] The heat treatment real-time adjustment control parameter and the deformation compensation control parameter are used to control the heating furnace and the holding furnace to perform heat treatment on the workpiece until the heat treatment is completed.

[0018] Furthermore, a heat treatment control database is constructed, including;

[0019] According to the material parameters of the workpiece, a plurality of heat treatment sample parameters close to the design parameters of the workpiece are obtained from the heat treatment sample database to form a sample heat treatment set;

[0020] Acquire real-time heat treatment control parameters of the same workpiece under multiple real-time deformation states to form a real-time heat treatment control parameter set;

[0021] A heat treatment control database is constructed using a sample heat treatment set, a real-time heat treatment control parameter set and the real-time deformation parameter set.

[0022] Furthermore, a heat treatment control database is constructed using the sample heat treatment set, the real-time heat treatment control parameter set and the real-time deformation parameter set, including:

[0023] According to the material parameters of the workpiece, multiple heat treatment sample parameters with the same material as the workpiece but different shapes and thicknesses are retrieved from a heat treatment sample database, wherein the heat treatment sample parameters include heating time, holding time, deformation amount, stress concentration point, and deformation correction reference value;

[0024] Obtain the heat treatment temperature and workpiece conveying speed under multiple real-time deformation states of the same workpiece;

[0025] According to the real-time deformation parameters, the control parameters of the reverse deformation of the heating furnace and the holding furnace are obtained; the reverse deformation control parameters include the speed and pressure of forcing the workpiece to deform;

[0026] A heat treatment control database is constructed according to the heating time, holding time, deformation amount, stress concentration point, deformation correction reference value, heat treatment temperature, workpiece conveying speed, speed and pressure of forcing the workpiece to deform.

[0027] Further, the initial heat treatment control parameters include a first initial heat treatment control parameter for controlling the heating furnace and a second initial heat treatment control parameter for controlling the holding furnace;

[0028] The first initial heat treatment control parameter controls the temperature of the heating furnace and the conveying speed of the drag chain conveyor passing through the heating furnace;

[0029] Obtaining a first deformation parameter of the workpiece in the heating furnace;

[0030] Inputting the first deformation parameter and the first initial heat treatment control parameter into the heat treatment adjustment sub-model to obtain the first real-time adjustment control parameter and the first deformation compensation control parameter to control the reverse deformation of the workpiece by the heating furnace and the holding furnace, as well as the temperature of the heating furnace and the conveying speed of the conveyor;

[0031] The second initial heat treatment control parameter controls the temperature of the holding furnace and the conveying speed of the drag chain conveyor passing through the holding furnace;

[0032] The first deformation parameter acquired in real time is formed into a first deformation parameter set, the first deformation parameter set is compared with the initial first control data set to obtain a real-time deformation ratio, and the real-time deformation ratio is input into the deformation compensation sub-model to form a second deformation compensation control parameter to change the compensation coefficient of the workpiece deformation compensation control in the insulation furnace under the second initial heat treatment control parameter.

[0033] Furthermore, the heat treatment adjustment sub-model and the deformation compensation sub-model are constructed, including:

[0034] According to the heat treatment control database, the workpiece obtains heat treatment control parameters every time T in the heating furnace and the holding furnace;

[0035] According to the heat treatment control database, the initial pre-pressure F of the workpiece in the heating furnace, the initial heating temperature M and the initial conveying speed V of the conveyor are obtained, and the initial deformation is set to E, E=1, to form an initial first control data set;

[0036] According to the heat treatment control database, the deformation parameter E1 of the workpiece after time T in the heating furnace, the control parameter F1 of the reverse deformation, the heating temperature M1 and the initial conveying speed V1 of the conveyor are obtained;

[0037] Continue to obtain the deformation parameter En of the workpiece after the Nth time T in the heating furnace, the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor;

[0038] Constructing the mapping relationship between the deformation parameter En and the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor;

[0039] According to the mapping relationship, construct the heat treatment adjustment sub-model;

[0040] Obtain N deformation parameters En, and the difference between the deformation parameter En and the initial deformation E as deformation compensation amount, and the set of N deformation compensation amounts as the deformation compensation set of the deformation compensation sub-model;

[0041] A deformation compensation sub-model is constructed based on the BP neural network, data identification is performed on the deformation compensation set and the first control data set, a deformation compensation training data set is constructed, and the deformation compensation amount is supervised, trained, verified and tested using the deformation compensation training data set until the accuracy of the compensation coefficient output by the deformation compensation sub-model meets the preset requirements, thereby obtaining the constructed deformation compensation sub-model.

[0042] Furthermore, the heat treatment adjustment submodel and the deformation compensation submodel are constructed, including: obtaining N of the deformation parameters En, the control parameter Fn of the reverse deformation, the heating temperature Mn and the initial conveying speed Vn of the conveyor to form a first deformation parameter set; comparing the first deformation parameter set with the initial first control data set to obtain the real-time deformation ratio, inputting the real-time deformation ratio into the deformation compensation submodel to obtain the compensation coefficient.

[0043] An intelligent heat treatment production line for a thin fork based on a control method of an intelligent heat treatment production line for a thin fork, the intelligent heat treatment production line comprising:

[0044] The heating furnace is used to heat the workpiece. The top of the heating furnace is provided with a through slot for the conveyor to pull the workpiece through the heating furnace. The two sides of the furnace wall of the heating furnace are also symmetrically provided with three movable pressing plates, which are the first thin plate, the second thin plate and the third thin plate respectively; the movable pressing plates are driven by a motor or a hydraulic station;

[0045] The holding furnace is used to hold the workpieces in temperature. A through slot is provided on the top of the holding furnace for the conveyor to pull the workpieces through the holding furnace. Three movable pressing plates are symmetrically provided on the two side walls of the holding furnace. The movable pressing plates are respectively the first thin plate, the second thin plate and the third thin plate. The movable pressing plates are driven by another motor or another hydraulic station.

[0046] The conveyor includes a first chain conveyor for driving the suspended workpiece to pass through the heating furnace, and a second chain conveyor for driving the suspended workpiece to pass through the holding furnace;

[0047] A clamping fixture, which is provided in several pieces and is suspended on the first chain conveyor and the second chain conveyor, the clamping fixture corresponds to the shape of the shift fork and is provided with three pairs of pressure detectors;

[0048] The control system includes a temperature detection module arranged on the heating furnace, a speed detection module arranged on the conveyor, a pressure acquisition module and a data processing module arranged on the pressure detector; the temperature detection module, the speed detection module and the pressure acquisition module are all individually connected to the data processing module.

[0049] The temperature detection module is used to obtain the heating temperature Mn, the speed detection module is used to obtain the conveying speed Vn, and the pressure acquisition module is used to obtain the pressure value Yn generated during the deformation of the calculated deformation parameter En.

[0050] The positive effects of the present invention are:

[0051] 1. The control method provided in the present application obtains initial heat treatment control parameters from a heat treatment control database through the material parameters of the workpiece and the corresponding heat treatment parameters, uses the initial heat treatment control parameters to perform heat treatment processing on the workpiece, obtains real-time deformation parameters of the workpiece during the heat treatment process, and forms a real-time deformation parameter set; after normalizing the real-time deformation parameter set, inputs the heat treatment adjustment sub-model to obtain the heat treatment real-time adjustment control parameters; after normalizing the real-time deformation parameter set, inputs the deformation compensation sub-model to obtain the deformation compensation control parameters, and provides accurate design data and deformation correction data for the heat treatment of the workpiece, that is, the heat treatment of the thin fork, and at the same time provides real-time deformation parameters, monitors the deformation state of the thin fork in real time, and performs real-time correction based on the deformation correction data, so as to provide accurate data and effective improvement measures for fully improving the deformation of the thin fork during heat treatment, reduce the process of solving the subsequent shape correction process of the thin fork after heat treatment, save labor and production time, save production costs, and at the same time improve the stress concentration problem of the thin fork, and improve the firmness and durability of the thin fork. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a flow chart of a control method of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0053] Figure 2 It is a flow chart of constructing a heat treatment control database in a control method of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0054] Figure 3 It is a flow chart of constructing a heat treatment control database using a sample heat treatment set, a real-time heat treatment control parameter set and the real-time deformation parameter set in a control method of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0055] Figure 4 In a control method of an intelligent heat treatment production line for a thin shift fork in the present invention, the material parameters of the workpiece and the corresponding heat treatment parameters are input into a heat treatment control database to obtain initial heat treatment control parameters, and a sub-process diagram of controlling a heating furnace and a holding furnace, as well as a conveyor, respectively;

[0056] Figure 5 It is a schematic diagram of a sub-process for constructing an adjustment sub-model and a first method for obtaining a compensation coefficient in a control method of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0057] Figure 6 It is a schematic diagram of a second sub-process for obtaining a compensation coefficient in a control method of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0058] Figure 7It is a structural schematic diagram of an intelligent heat treatment production line for a thin shift fork in the present invention;

[0059] Figure 8 yes Figure 7 The structural diagram of the intelligent heat treatment production line of Zhongyi thin fork is located in the middle of the holding furnace;

[0060] Fig. 9 It is a structural schematic diagram of a clamping tool in an intelligent heat treatment production line of a thin shift fork in the present invention;

[0061] Legend: 1—first motor, 2—first chain conveyor, 3—second motor, 4—second chain conveyor, 5—second guide plate, 6—insulating furnace, 601—padlock, 602—hanging rod, 603—furnace wall, 604—first thin plate, 605—first driving cylinder, 606—second driving cylinder, 607—third driving cylinder, 608—second thin plate, 609—third thin plate, 6091—first clamping block, 6092—second clamping block, 6093—third clamping block, 610—first detector, 611—first clamping plate, 612—second clamping plate, 613—second detector, 614—fourth driving cylinder, 615—fifth driving cylinder, 616—sixth driving cylinder, 6161—first connecting plate, 6162—second connecting plate, 6163—third connecting plate, 617—connecting thin plate, 618—clamp, 7—first guide plate, 8—heating furnace. DETAILED DESCRIPTION

[0062] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in combination with the drawings and embodiments, describes in detail a control method for an intelligent heat treatment production line for a thin shift fork proposed in the present invention, and an intelligent heat treatment production line for a thin shift fork based on a control method for an intelligent heat treatment production line for a thin shift fork, and its specific implementation method, structure, characteristics and effects.

[0063] In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0064] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0065] The acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations.

[0066] The present application is applicable to the intelligent control of heat treatment deformation of thin shift forks in mass production and the improvement of the corresponding heat treatment production line. In order to solve the problem in the prior art that the carbon content, metallographic structure and stress of each workpiece material are different, the fixed form of molds or fixtures are used to clamp the thin workpieces, which cannot cope with the problem of heat treatment deformation of workpieces in mass production, and the deformation correction is still required after heat treatment, the following is a technical explanation of the intelligent heat treatment production line and control method of thin shift forks provided by the present invention in detail with reference to the accompanying drawings.

[0067] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments:

[0068] Embodiment 1:

[0069] like Figure 1 As shown, a control method for an intelligent heat treatment production line of a thin fork includes:

[0070] S100: Obtain material parameters of the workpiece;

[0071] Specifically, the workpiece described in this example is a shift fork, which is used in an automobile gearbox. The shift fork is a C-shaped flat plate part. Since the ratio of its thickness to length is less than 0.15, the material parameters include the carbon content data in the workpiece and the shape data of the workpiece. These data are used to match the heat treatment parameters corresponding to the heat treatment sample database in the early stage of the heat treatment of the workpiece, wherein the shape data of the workpiece is also used to find the corresponding stress concentration point in the heat treatment sample database;

[0072] S200: acquiring corresponding heat treatment parameters from a heat treatment sample database according to the material parameters of the workpiece;

[0073] Specifically, according to the carbon content data and the shape data of the workpiece, the heat treatment sample is screened in the heat treatment sample database, and the sample workpiece processed by the heat treatment sample should be closest to the carbon content data and the shape data of the workpiece mentioned in this embodiment;

[0074] The screening heat treatment samples are screened using a screening function. Specifically, first, the carbon content data is compared, and the difference between all the carbon content samples in the database and the carbon content data is performed, and the carbon content sample with the smallest difference is selected as the first carbon spare heat treatment sample; all the shape data samples of the workpiece in the database are compared with the shape data of the workpiece by pixel by pixel by RGB value or gray value to calculate the similarity, and the one with the highest similarity is selected as the first shape spare heat treatment sample;

[0075] If the first carbon standby heat-treated sample and the first shape standby heat-treated sample are the same heat-treated sample, the heat-treated sample is selected as the heat-treated sample of this embodiment;

[0076] If the first carbon spare heat treatment sample and the first shape spare heat treatment sample are not the same heat treatment sample, the first shape spare heat treatment sample is taken as the benchmark, and all carbon content samples in the database are subtracted from the carbon content data, and the carbon content sample with the smallest difference is selected as the first carbon spare heat treatment sample, and the one with the highest similarity to the first shape spare heat treatment sample is selected as the heat treatment sample of this embodiment.

[0077] S300: constructing a heat treatment control database;

[0078] Preferably, Figure 2 As shown, a heat treatment control database is constructed, including:

[0079] S310: acquiring a plurality of heat treatment sample parameters that are close to the workpiece design parameters in a heat treatment sample database according to the material parameters of the workpiece, and forming a sample heat treatment set;

[0080] Specifically, multiple heat treatment sample parameters close to the workpiece design parameters should be understood as obtaining multiple heat treatment sample parameters close to the workpiece design parameters based on the carbon content data and the shape data of the workpiece; multiple heat treatment sample parameters should be understood as the difference between the carbon content samples and the carbon content data of the multiple heat treatment samples, and the similarity values ​​obtained by comparing the RGB values ​​or grayscale values ​​pixel by pixel, that is, the multiple heat treatment sample parameters when obtaining the first shape spare heat treatment sample and the first carbon spare heat treatment sample mentioned above;

[0081] The heat treatment sample parameters include the heat treatment temperature, preheating time, holding time, the conveying speed of the workpiece in the heat treatment equipment, and the pre-pressure to prevent the workpiece from being applied.

[0082] S311: acquiring real-time heat treatment control parameters of the same workpiece under multiple real-time deformation states to form a real-time heat treatment control parameter set;

[0083] The multiple real-time deformation states should be understood as the states of the workpiece when it is deformed during the preheating stage, the heating stage and the insulation stage.

[0084] S312: constructing a heat treatment control database using the sample heat treatment set, the real-time heat treatment control parameter set and the real-time deformation parameter set.

[0085] Among them, for constructing a heat treatment control database using a sample heat treatment set, a real-time heat treatment control parameter set and the real-time deformation parameter set, this embodiment provides a specific implementation method, such as Figure 3 As shown, including:

[0086] S3121: According to the material parameters of the workpiece, multiple heat treatment sample parameters with the same material as the workpiece but different shapes and thicknesses are retrieved from a heat treatment sample database, wherein the heat treatment sample parameters include heating time, holding time, deformation amount, stress concentration point, and deformation correction reference value;

[0087] S3122: Obtaining the temperature of heat treatment and the conveying speed of the workpiece under multiple real-time deformation states of the same workpiece;

[0088] S3123: acquiring control parameters of reverse deformation of the heating furnace and the holding furnace according to the real-time deformation parameters; the reverse deformation control parameters include speed and pressure forcing the workpiece to deform;

[0089] S3124: Construct a heat treatment control database according to the heating time, holding time, deformation amount, stress concentration point, deformation correction reference value, heat treatment temperature, workpiece conveying speed, speed and pressure of forcing the workpiece to deform.

[0090] S400: inputting the material parameters of the workpiece and the corresponding heat treatment parameters into a heat treatment control database to obtain initial heat treatment control parameters;

[0091] The corresponding heat treatment parameters mentioned here refer to screening heat treatment samples in the heat treatment sample database according to the carbon content data and the shape data of the workpiece, and the sample workpiece processed by the heat treatment sample should be closest to the carbon content data and the shape data of the workpiece mentioned in this embodiment;

[0092] Among them, the initial heat treatment control parameters specifically refer to the initial heat treatment control parameters of the heating furnace and the holding furnace in the heat treatment; Figure 4 As shown, the specific control process is:

[0093] S410: initial heat treatment control parameters, including a first initial heat treatment control parameter for controlling the heating furnace and a second initial heat treatment control parameter for controlling the holding furnace; the first initial heat treatment control parameter controls the temperature of the heating furnace and the conveying speed of the drag chain conveyor passing through the heating furnace;

[0094] S420: Obtaining a first deformation parameter of the workpiece in the heating furnace;

[0095] S430: inputting the first deformation parameter and the first initial heat treatment control parameter into the heat treatment adjustment sub-model to obtain the first real-time adjustment control parameter and the first deformation compensation control parameter to control the reverse deformation of the workpiece by the heating furnace and the holding furnace, as well as the temperature of the heating furnace and the conveying speed of the conveyor;

[0096] S440: The second initial heat treatment control parameters control the temperature of the insulation furnace and the conveying speed of the drag chain conveyor passing through the insulation furnace; the first deformation parameters acquired in real time are formed into a first deformation parameter set, the first deformation parameter set is compared with the initial first control data set to obtain a real-time deformation ratio, and the real-time deformation ratio is input into the deformation compensation sub-model to form a second deformation compensation control parameter to change the compensation coefficient of the workpiece deformation compensation control in the insulation furnace under the second initial heat treatment control parameters.

[0097] S500: constructing a heat treatment parameter control model according to the material parameters of the workpiece, the corresponding heat treatment parameters and a heat treatment control database, wherein the heat treatment parameter control model includes a heat treatment adjustment sub-model and a deformation compensation sub-model;

[0098] In this step, for the construction of the heat treatment adjustment sub-model and the deformation compensation sub-model, this embodiment provides a specific implementation method, such as Figure 5 As shown:

[0099] Constructing the heat treatment adjustment sub-model and the deformation compensation sub-model includes:

[0100] S501: According to the heat treatment control database, the workpiece obtains heat treatment control parameters in the heating furnace and the holding furnace every time T;

[0101] S502: According to the heat treatment control database, the initial pre-pressure F of the workpiece in the heating furnace, the initial heating temperature M and the initial conveying speed V of the conveyor are obtained, and the initial deformation is set to E, E=1, to form an initial first control data set;

[0102] S503: According to the heat treatment control database, the deformation parameter E1 of the workpiece after time T in the heating furnace, the control parameter F1 of the reverse deformation, the heating temperature M1 and the initial conveying speed V1 of the conveyor are obtained;

[0103] S504: Continue to obtain the deformation parameter En of the workpiece after the Nth time T in the heating furnace, the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor;

[0104] S505: constructing a mapping relationship between the deformation parameter En and the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor;

[0105] S506: constructing the heat treatment adjustment sub-model according to the mapping relationship;

[0106] S507: Obtain N deformation parameters En, and the difference between the deformation parameter En and the initial deformation E as the deformation compensation amount, and use the N deformation compensation amount sets as the deformation compensation set of the deformation compensation sub-model;

[0107] S508: Construct a deformation compensation sub-model based on the BP neural network, perform data identification on the deformation compensation set and the first control data set, construct a deformation compensation training data set, and use the deformation compensation training data set to supervise the training, verification and testing of the deformation compensation amount until the accuracy of the compensation coefficient output by the deformation compensation sub-model meets the preset requirements, thereby obtaining the constructed deformation compensation sub-model.

[0108] Specifically, in this embodiment, the initial heat treatment control parameters are the closest heat treatment experience data and experience measures for dealing with heat treatment deformation matched by the system for the workpiece, so as to realize the correction of the deformation of the workpiece during the heat treatment process and the gap between the actual situation. Therefore, this embodiment provides a real-time monitoring and deformation compensation sub-model, which feeds back and compensates to the heat treatment through real-time monitoring of the heat treatment state and deformation value, thereby realizing real-time control of the deformation of the workpiece during heat treatment and improving the problem of heat treatment deformation of the workpiece applied by the present invention.

[0109] It is worth mentioning that the heat treatment deformation improvement control method provided by the present invention is only applicable to thin workpieces and sheet workpieces that are easy to clamp.

[0110] In this embodiment, the deformation compensation sub-model is preferably constructed based on a BP neural network. In order to improve the accuracy of the real-time heat treatment parameter output, the deformation compensation sub-model is trained through a large amount of data. The multiple deformation parameters En and the deformation parameter En are data-labeled to obtain a construction data set, and the deformation compensation sub-model is supervised trained, verified and tested using the construction data set until the accuracy of the deformation compensation sub-model meets the preset requirements, and the deformation compensation sub-model is constructed.

[0111] This embodiment constructs the deformation compensation sub-model based on the BP neural network model, and trains the deformation compensation sub-model based on multiple deformation parameters En and deformation parameters En, so as to obtain the deformation compensation sub-model that can output and meet the requirements of heat treatment compensation accuracy and deformation correction accuracy, and achieves compensation adjustment of workpiece deformation based on real-time heat treatment control parameter monitoring, thereby achieving improvement in the technical problem that thin workpieces, sheet workpieces, and workpieces that are easy to clamp are easy to deform during heat treatment, so that the shape of the workpiece after heat treatment meets the technical requirements, and also reduces the subsequent shape correction process, saving labor and production costs.

[0112] S600: performing heat treatment on the workpiece using the initial heat treatment control parameters, obtaining real-time deformation parameters of the workpiece during the heat treatment process, and forming a real-time deformation parameter set;

[0113] S700: after normalizing the real-time deformation parameter set, input it into the heat treatment adjustment sub-model to obtain the heat treatment real-time adjustment control parameter; after normalizing the real-time deformation parameter set, input it into the deformation compensation sub-model to obtain the deformation compensation control parameter;

[0114] S800: Using the heat treatment real-time adjustment control parameters and deformation compensation control parameters to control the heating furnace and the holding furnace to perform heat treatment on the workpiece until the heat treatment is completed.

[0115] Embodiment 2:

[0116] Based on the same inventive concept as the control method of an intelligent heat treatment production line for a thin shift fork in the aforementioned embodiment, for S500: a heat treatment parameter control model is constructed according to the material parameters of the workpiece, the corresponding heat treatment parameters and a heat treatment control database, wherein the heat treatment parameter control model includes a heat treatment adjustment sub-model and a deformation compensation sub-model;

[0117] In this embodiment, for the construction of the heat treatment adjustment sub-model and the deformation compensation sub-model, this embodiment provides another specific implementation method, such as Figure 6 As shown:

[0118] Constructing the heat treatment adjustment sub-model and the deformation compensation sub-model includes:

[0119] S4401: Obtain N deformation parameters En, reverse deformation control parameters Fn, heating temperature Mn and initial conveying speed Vn of the conveyor to form a first deformation parameter set; S4402: Compare the first deformation parameter set with the initial first control data set to obtain the real-time deformation ratio;

[0120] S4403: Input the real-time deformation ratio into the deformation compensation sub-model to obtain the compensation coefficient.

[0121] When the device is used in a scenario where it cannot interact with big data, this embodiment can accurately obtain the correction value of the workpiece deformation during heat treatment deformation.

[0122] Embodiment three:

[0123] Based on the same inventive concept as the control method of an intelligent heat treatment production line for a thin fork in the aforementioned embodiment, this embodiment provides an intelligent heat treatment production line for a thin fork based on the control method of an intelligent heat treatment production line for a thin fork, such as Figures 7 to 9 As shown, the intelligent heat treatment production line includes:

[0124] The heating furnace is used to heat the workpiece. A through slot is provided on the top of the heating furnace for the conveyor to pull the workpiece through the heating furnace. Three movable pressing plates are symmetrically provided on the two sides of the furnace wall of the heating furnace. The movable pressing plates are respectively the first thin plate, the second thin plate and the third thin plate. The movable pressing plates are driven by a motor or another hydraulic station.

[0125] The holding furnace is used to hold the workpieces. A through slot is provided on the top of the holding furnace for the conveyor to pull the workpieces through the holding furnace. Three movable pressing plates are symmetrically provided on the two sides of the furnace wall of the holding furnace. The movable pressing plates are respectively the first thin plate, the second thin plate and the third thin plate. The movable pressing plates are driven by another motor or another hydraulic station.

[0126] The conveyor includes a first chain conveyor for driving the suspended workpiece to pass through the heating furnace, and a second chain conveyor for driving the suspended workpiece to pass through the holding furnace;

[0127] A clamping fixture, which is provided in several pieces and is suspended on the first chain conveyor and the second chain conveyor, the clamping fixture corresponds to the shape of the shift fork and is provided with three pairs of pressure detectors;

[0128] The control system includes a temperature detection module arranged on the heating furnace, a speed detection module arranged on the conveyor, a pressure acquisition module and a data processing module arranged on the pressure detector; the temperature detection module, the speed detection module and the pressure acquisition module are all individually connected to the data processing module.

[0129] The temperature detection module is used to obtain the heating temperature Mn, the speed detection module is used to obtain the conveying speed Vn, and the pressure acquisition module is used to obtain the pressure value Yn generated during the deformation of the calculated deformation parameter En.

[0130] Among them, Figure 7 As shown, in order to facilitate the adjustment of the different conveying speeds of the workpieces in the heating furnace and the holding furnace, two conveyors are provided in the intelligent heat treatment production line, namely the first chain conveyor 2 and the second chain conveyor 4. The chain conveyor in this embodiment can facilitate the hanging and disassembly of the workpieces. This improvement is relative to the plate chain conveyor.

[0131] The first chain conveyor 2 is driven by a first motor 1; the second chain conveyor 4 is driven by a second motor 3;

[0132] The first chain conveyor 2 is provided with a first guide plate 7, and the first guide plate 7 passes through the heating furnace 8; the second chain conveyor 4 is provided with a second guide plate 5; the second guide plate 5 passes through the insulation furnace 6; the second guide plate 5 and the first guide plate 7 are made of rigid materials, preferably steel, and when the first chain conveyor 2 conveys the workpiece into the heating furnace 8, the first guide plate 7 guides and positions the clamping tooling suspended below the first chain conveyor 2, and when the second chain conveyor 4 conveys the workpiece into the insulation furnace 6, similarly, the second guide plate 5 guides and positions the clamping tooling suspended below the second chain conveyor 4;

[0133] like Figure 8 As shown, a plurality of padlocks 601 are evenly arranged at the bottom of the conveying tracks of the first chain conveyor 2 and the second chain conveyor 4, each padlock 601 is hung with a hanging rod 602, and a clamping tool is movably connected to the bottom of the hanging rod 602, such as Figure 8 and Fig. 9 As shown, the clamping tool in this embodiment is a clamp 618, and the clamp 618 includes three pairs of clamping blocks and three pairs of connecting thin plates 617. Fig. 9 The double-dotted line in the figure shows the structure of the thin fork for heat treatment target workpiece applicable to the present invention, wherein the three pairs of clamping blocks are respectively a first clamping block 6091 and a third clamping block 6093 for clamping the open end of the thin fork, and a second clamping block 6092 for clamping the unopened end of the thin fork;

[0134] The first clamping block 6091, the third clamping block 6093, and the second clamping block 6092 have the same structural style, but different sizes. The shape of the clamping parts is also adaptively changed according to the specific shape of the thin fork, and the coverage of the clamping block to the fork is also adaptively changed according to the actual requirements of the workpiece to meet the requirements of local heat treatment.

[0135] The structure of the clamp block is described by taking the first clamp block 6091 as an example. Figure 8 and Fig. 9As shown, the first clamping block 6091 is provided with a first clamping plate 611 and a second clamping plate 612, the first clamping plate 611 and the second clamping plate 612 are used to clamp the end of the thin fork, the first detector 610 is fixed on the back of the first clamping plate 611, and the second detector 613 is fixed on the back of the second clamping plate 612, the first detector 610 and the second detector 613 have the same structure and function, and the only difference is that the measured positions are different, the first detector 610 and the second detector 613 are both integrated with a temperature detection module and a pressure detector, as well as a data processing module, and are connected to the control system of the production line via Bluetooth, the first detector 610 and the second detector 613 are packaged with a heat insulating material and fixed on the back of the first clamping plate 611 and the second clamping plate 612, and the heat insulating material is recommended to be ceramic fiber or asbestos, and the first detector 610 and the second detector 613 are packaged in a multi-layer spaced arrangement;

[0136] The heating furnace 8 and the holding furnace 6 are symmetrically provided with a plurality of groups of drive cylinders, such as Figure 8 As shown, the drive cylinders are divided into three groups, the first drive cylinder 605 and the sixth drive cylinder 616 are the first group, the second drive cylinder 606 and the fifth drive cylinder 615 are the second group, and the third drive cylinder 607 and the fourth drive cylinder 614 are the third group. Figure 7 As shown, each group of driving cylinders is evenly distributed in a straight line, and the movable rod of each group of driving cylinders penetrates the furnace wall 603 and is fixed to the corresponding thin plate at the same time. The first group of driving cylinders is fixed to the first thin plate 604, the second group of driving cylinders is fixed to the second thin plate 608, and the third group of driving cylinders is fixed to the third thin plate 609; the driving cylinders are preferably oil cylinders or air cylinders; the first thin plate 604, the second thin plate 608, and the third thin plate 609 are all arranged in pairs and pass through the inlet and outlet of the heating furnace or the insulation furnace; the first thin plate 604 contacts the first clamping block 6091, the second thin plate 608 contacts the second clamping block 6092, and the third thin plate 609 contacts the third clamping block 6093;

[0137] The control method of the control system controls different driving cylinders to push the thin plate, forcing the clamping tooling to be at different positions of the heating furnace or the insulation furnace, changing the relative positions of the first clamping block 6091 and the third clamping block 6093 clamping the open end of the thin fork, and the second clamping block 6092 clamping the unopened end of the thin fork, thereby realizing real-time correction of the shape of the thin fork.

[0138] The foregoing has broadly outlined some aspects and features of various embodiments, which should be construed as merely illustrative of various potential applications. Other beneficial results may be obtained by applying the disclosed information in different ways or by combining various aspects of the disclosed embodiments. Other aspects and a more comprehensive understanding may be obtained by reference to the detailed description of the exemplary embodiments in conjunction with the accompanying drawings, within the scope defined by the claims.

[0139] The above embodiments have been described in detail. Of course, the above description is not intended to limit the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions, reductions, and substitutions made by relevant technicians within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A control method for an intelligent heat treatment production line of a thin fork, characterized in that: The control method is applied to an intelligent heat treatment production line for a thin fork, which includes a first chain conveyor for driving a suspended workpiece through a heating furnace, and a second chain conveyor for driving a suspended workpiece through a holding furnace; a clamping tool, which is provided with a plurality of pieces and is suspended on the first chain conveyor and the second chain conveyor, the clamping tool corresponds to the shape of the fork, and is provided with three pairs of pressure detectors; the clamping tool includes three pairs of clamping blocks and three pairs of connecting thin plates, the three pairs of clamping blocks are respectively a first clamping block and a third clamping block for clamping an open end of the thin fork, and a second clamping block for clamping an unopened end of the thin fork; the heating furnace and the holding furnace are symmetrically provided with a plurality of groups of driving cylinders, each group of driving cylinders is linearly and evenly distributed with a plurality of driving cylinders, the movable rod of each group of driving cylinders penetrates the furnace wall and is fixed to the corresponding thin plate at the same time, the first group of driving cylinders is fixed to the first thin plate, the second group of driving cylinders is fixed to the second thin plate, and the third group of driving cylinders is fixed to the third thin plate; the first thin plate, the second thin plate, and the third thin plate are all arranged in pairs, and pass through the inlet and outlet of the heating furnace or the holding furnace; The first thin plate contacts the first clamping block, the second thin plate contacts the second clamping block, and the third thin plate contacts the third clamping block. The control method comprises: Get the material parameters of the workpiece; According to the material parameters of the workpiece, corresponding heat treatment parameters are obtained from a heat treatment sample database; Build heat treatment control database; Inputting the material parameters of the workpiece and the corresponding heat treatment parameters into a heat treatment control database to obtain initial heat treatment control parameters; Constructing a heat treatment parameter control model according to the material parameters of the workpiece, the corresponding heat treatment parameters and a heat treatment control database, wherein the heat treatment parameter control model includes a heat treatment adjustment sub-model and a deformation compensation sub-model; Performing heat treatment on the workpiece using the initial heat treatment control parameters, obtaining real-time deformation parameters of the workpiece during the heat treatment process, and forming a real-time deformation parameter set; After the real-time deformation parameter set is normalized, it is input into the heat treatment adjustment sub-model to obtain the heat treatment real-time adjustment control parameters; after the real-time deformation parameter set is normalized, it is input into the deformation compensation sub-model to obtain the deformation compensation control parameters; The heat treatment real-time adjustment control parameter and the deformation compensation control parameter are used to control the heating furnace and the holding furnace to perform heat treatment on the workpiece until the heat treatment is completed; The initial heat treatment control parameters include a first initial heat treatment control parameter for controlling the heating furnace and a second initial heat treatment control parameter for controlling the holding furnace; The first initial heat treatment control parameter controls the temperature of the heating furnace and the conveying speed of the drag chain conveyor passing through the heating furnace; Obtaining a first deformation parameter of the workpiece in the heating furnace; Inputting the first deformation parameter and the first initial heat treatment control parameter into the heat treatment adjustment sub-model to obtain the first real-time adjustment control parameter and the first deformation compensation control parameter to control the reverse deformation of the workpiece by the heating furnace and the holding furnace, as well as the temperature of the heating furnace and the conveying speed of the conveyor; The second initial heat treatment control parameter controls the temperature of the holding furnace and the conveying speed of the drag chain conveyor passing through the holding furnace; The first deformation parameter acquired in real time forms a first deformation parameter set, the first deformation parameter set is compared with the initial first control data set to obtain a real-time deformation ratio, and the real-time deformation ratio is input into the deformation compensation sub-model to form a second deformation compensation control parameter, so as to change the compensation coefficient of the workpiece deformation compensation control in the insulation furnace under the second initial heat treatment control parameter, so that different driving cylinders can be controlled to push the thin plate, forcing the clamping tooling to be at different positions of the heating furnace or the insulation furnace, changing the relative positions of the first clamping block and the third clamping block clamping the open end of the thin fork, and the second clamping block clamping the unopened end of the thin fork, so as to realize real-time correction of the shape of the thin fork.

2. The control method of the intelligent heat treatment production line of a thin fork according to claim 1 is characterized in that: Build heat treatment control database, including; According to the material parameters of the workpiece, a plurality of heat treatment sample parameters close to the design parameters of the workpiece are obtained from the heat treatment sample database to form a sample heat treatment set; Acquire real-time heat treatment control parameters of the same workpiece under multiple real-time deformation states to form a real-time heat treatment control parameter set; A heat treatment control database is constructed using a sample heat treatment set, a real-time heat treatment control parameter set and the real-time deformation parameter set.

3. The control method of the intelligent heat treatment production line of a thin shift fork according to claim 2 is characterized in that: A heat treatment control database is constructed using a sample heat treatment set, a real-time heat treatment control parameter set and the real-time deformation parameter set, including: According to the material parameters of the workpiece, multiple heat treatment sample parameters with the same material as the workpiece but different shapes and thicknesses are retrieved from a heat treatment sample database, wherein the heat treatment sample parameters include heating time, holding time, deformation amount, stress concentration point, and deformation correction reference value; Obtain the heat treatment temperature and workpiece conveying speed under multiple real-time deformation states of the same workpiece; According to the real-time deformation parameters, the control parameters of the reverse deformation of the heating furnace and the holding furnace are obtained; the control parameters of the reverse deformation include the speed and pressure forcing the workpiece to deform; A heat treatment control database is constructed according to the heating time, holding time, deformation amount, stress concentration point, deformation correction reference value, heat treatment temperature, workpiece conveying speed, speed and pressure of forcing the workpiece to deform.

4. The control method of the intelligent heat treatment production line of a thin fork according to claim 3 is characterized in that: Constructing the heat treatment adjustment sub-model and the deformation compensation sub-model includes: According to the heat treatment control database, the workpiece obtains heat treatment control parameters every time T in the heating furnace and the holding furnace; According to the heat treatment control database, the initial pre-pressure F of the workpiece in the heating furnace, the initial heating temperature M and the initial conveying speed V of the conveyor are obtained, and the initial deformation is set to E, E=1, to form an initial first control data set; According to the heat treatment control database, the deformation parameter E1 of the workpiece after time T in the heating furnace, the control parameter F1 of the reverse deformation, the heating temperature M1 and the initial conveying speed V1 of the conveyor are obtained; Continue to obtain the deformation parameter En of the workpiece after the Nth time T in the heating furnace, the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor; Constructing the mapping relationship between the deformation parameter En and the control parameter Fn of the reverse deformation, the heating temperature Mn and the conveying speed Vn of the conveyor; According to the mapping relationship, construct the heat treatment adjustment sub-model; Obtain N deformation parameters En, and the difference between the deformation parameter En and the initial deformation E as the deformation compensation amount, and the set of N deformation compensation amounts as the deformation compensation set of the deformation compensation sub-model; A deformation compensation sub-model is constructed based on the BP neural network, data identification is performed on the deformation compensation set and the first control data set, a deformation compensation training data set is constructed, and the deformation compensation amount is supervised, trained, verified and tested using the deformation compensation training data set until the accuracy of the compensation coefficient output by the deformation compensation sub-model meets the preset requirements, thereby obtaining the constructed deformation compensation sub-model.

5. The control method of the intelligent heat treatment production line of a thin shift fork according to claim 4 is characterized in that: Constructing the heat treatment adjustment submodel and the deformation compensation submodel includes: obtaining N deformation parameters En, the control parameter Fn of the reverse deformation, the heating temperature Mn and the initial conveying speed Vn of the conveyor to form a first deformation parameter set; comparing the first deformation parameter set with the initial first control data set to obtain the real-time deformation ratio, inputting the real-time deformation ratio into the deformation compensation submodel to obtain the compensation coefficient.

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