Pin shaft surface strengthening process parameter optimization method and system

CN122924070APending Publication Date: 2026-10-16JINING RUIBO CONSTR MASCH CO LTD
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Patent Information

Application Number
CN202611127073.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-28
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0003]传统销轴表面强化过程多由工控机调用工艺卡或历史记录设定强化压力、转速、进给量、作用时间、温度和介质流量,设备运行值与销轴材料、尺寸、强化前表面状态之间关联不足,参数选择依赖固定区间和人工经验,强化中压力、转速、进给、温度等信号难以形成统一偏离判断,检测反馈与后续参数调整衔接有限,批次内销轴加工参数沿用同一设定时,局部状态差异易造成参数执行与检测结果不匹配

Benefits of technology

[0016] In this invention, pin shaft process status data is formed by combining material grade, size specifications, area to be strengthened, and pre-strengthening surface inspection data, thus providing a basis for parameter generation with corresponding input to the object to be processed. Candidate process parameter sets are filtered based on the executable parameter range and process constraints of the surface strengthening execution equipment, reducing the number of parameter combinations exceeding equipment boundaries or process sequence limitations. Parameter execution deviation data is generated by collecting equipment operating signals and comparing them with selected process parameters. A joint correction amount is generated using the parameter execution deviation data, pin shaft process status data, and post-strengthening inspection feedback, establishing a closed-loop control relationship between parameter issuance, process deviation, inspection feedback, and anomaly reversal.

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Abstract

The present application relates to the technical field of process control, in particular to a pin shaft surface strengthening process parameter optimization method and system, comprising the following steps: obtaining the pin shaft material brand, size specification, to-be-strengthened area and surface detection data before strengthening, generating pin shaft process state data, screening candidate process parameter set according to pin shaft process state data, equipment executable range and process constraint relationship, collecting equipment operation signal in execution, comparing with the issued parameters to generate parameter execution deviation data, generating joint correction amount according to parameter execution deviation data and post-strengthening detection feedback, updating candidate process parameter set, when the deviation or feedback meets the abnormal trigger condition, limiting the corresponding process parameter combination and calling the backup parameter set. The present application forms a control relationship among process parameters, pin shaft state, equipment execution state and detection feedback through state input, process deviation comparison, feedback correction and abnormal rollback.
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Description

Technical Field

[0001] This invention relates to the field of process control technology, and in particular to a method and system for optimizing process parameters for surface strengthening of pins. Background Technology

[0002] In the field of process control technology, data acquisition, parameter setting, logical judgment, command issuance, and operation recording typically revolve around production equipment, process objects, measuring instruments, and actuators. Field sensors transmit signals such as temperature, pressure, speed, position, current, and time to programmable logic controllers (PLCs) or industrial control computers (ICCs). The control program generates control commands based on the process formula, threshold ranges, and equipment status, and transmits these commands to motors, pumps, valves, heating devices, or processing equipment via buses, interfaces, or industrial networks. Specifically, the traditional pin surface strengthening process parameter optimization method and system refers to the process of setting, recording, and adjusting process parameters such as strengthening pressure, speed, feed rate, action time, temperature, or medium flow rate for surface strengthening processes like shot peening, rolling, and heat treatment of pins. Typically, measuring instruments acquire pin dimensions, material grade, surface hardness, roughness, and equipment operating values. The ICC retrieves process cards or historical records for comparison. Operators or the control program select process parameters based on parameter ranges, test results, and equipment status, and then issue the set values ​​to the corresponding processing equipment for execution.

[0003] Traditional pin surface strengthening processes often rely on industrial control computers to call process cards or historical records to set strengthening pressure, speed, feed rate, action time, temperature, and medium flow rate. There is insufficient correlation between equipment operating values ​​and pin material, size, and surface condition before strengthening. Parameter selection depends on fixed ranges and human experience. During strengthening, signals such as pressure, speed, feed, and temperature are difficult to correlate with consistent deviations. The connection between detection feedback and subsequent parameter adjustments is limited. When the same settings are used for pin processing parameters within a batch, local differences in condition can easily cause mismatches between parameter execution and detection results. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for optimizing the process parameters of pin surface strengthening, so that the setting of process parameters in the pin surface strengthening process can be combined with the pin material, size, surface condition before strengthening, equipment execution signals and post-strengthening detection feedback. When the parameter execution deviates or the detection feedback meets the abnormal triggering conditions, a corresponding backoff control is formed to solve the problem of insufficient connection between the pin object state, equipment operating state and detection feedback in the traditional process parameter setting process.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for optimizing pin shaft surface strengthening process parameters, comprising the following steps: acquiring the pin shaft material grade, size specifications, area to be strengthened, and surface detection data before strengthening, generating pin shaft process state data; according to the pin shaft process state data, the executable parameter range of the surface strengthening execution equipment, and process constraint relationships, screening a set of candidate process parameters, and issuing the selected process parameters to the surface strengthening execution equipment; collecting at least two types of equipment operating signals from pressure, rotational speed, feed rate, temperature, flow rate, current, and processing time during strengthening execution, comparing the equipment operating signals with the selected process parameters to generate parameter execution deviation data; generating a joint correction amount for at least two process parameters according to the parameter execution deviation data, the pin shaft process state data, and post-strengthening detection feedback, and updating the set of candidate process parameters with the joint correction amount; when the parameter execution deviation data or the post-strengthening detection feedback meets the abnormal triggering conditions, restricting the corresponding process parameter combination and calling the backup parameter set.

[0006] In the progressive scheme of the above method, the pin process status data includes a material category field corresponding to the pin material grade, a geometry field corresponding to the pin diameter, length, and location of the area to be strengthened, and a surface condition field corresponding to the surface hardness, roughness, and dimensional detection values ​​before strengthening. When the detection value in the surface condition field is within the preset allowable range of surface condition conditions, the material category field, the geometry field, and the surface condition field are used as the filtering input for the candidate process parameter set; when the detection value in the surface condition field is within the preset allowable range of surface condition conditions, the filtering of the candidate process parameter set for the corresponding pin is stopped.

[0007] As a further refinement of the candidate parameter selection process, the candidate process parameter set includes basic process card parameters obtained by matching the material category field and the geometry field, equipment boundary parameters determined by the rated operating range of the surface strengthening execution equipment, and state adaptation parameters obtained by comparing the surface state field with preset surface state adaptation conditions. When the basic process card parameters simultaneously satisfy both the equipment boundary parameters and the state adaptation parameters, the corresponding parameter combination is written into the candidate process parameter set; when the basic process card parameters do not satisfy either the equipment boundary parameters or the state adaptation parameters, the corresponding parameter combination is excluded.

[0008] As a further limitation of the process constraints, the process constraints include a pressure feed constraint to limit the correspondence between pressure and feed rate, a rotational speed-time constraint to limit the correspondence between rotational speed and processing time, and a temperature-flow rate constraint to limit the correspondence between temperature and flow rate. The parameter combinations in the candidate process parameter set are progressively filtered according to the pressure feed constraint, the rotational speed-time constraint, and the temperature-flow rate constraint. The parameter combinations that pass the filtering are used to form the selected process parameters, while the parameter combinations that fail the filtering are added to the backup parameter set or restricted from use.

[0009] As a further definition of the process deviation formation method, the parameter execution deviation data includes the pressure deviation obtained by comparing the actual pressure in the equipment operation signal with the set pressure in the selected process parameters, the speed deviation obtained by comparing the actual speed in the equipment operation signal with the set speed in the selected process parameters, and the process deviation obtained by comparing the actual feed rate, actual temperature, actual flow rate, or actual processing time in the equipment operation signal with the corresponding set value in the selected process parameters. When the pressure deviation, the speed deviation, or the process deviation meets the deviation threshold condition, the corresponding deviation is written into the parameter execution deviation data; when the corresponding deviation does not meet the deviation threshold condition, the corresponding deviation is stored as a normal execution record.

[0010] As a further constraint on the timing of equipment operation signal acquisition, the equipment operation signals include pressure sampling values, rotational speed sampling values, feed rate sampling values, temperature sampling values, flow rate sampling values, and processing time sampling values ​​obtained according to the same sampling time window, as well as an execution status identifier received by the programmable controller from feedback from the surface strengthening execution device. When the execution status identifier matches the sampling time window, the pressure sampling value, rotational speed sampling value, feed rate sampling value, temperature sampling value, flow rate sampling value, and processing time sampling value are used to generate the parameter execution deviation data; when the execution status identifier does not match the sampling time window, the equipment operation signals within the corresponding sampling time window are re-acquired.

[0011] As a further definition of the joint correction process, the joint correction amount includes a pressure feed correction amount determined jointly by the pressure deviation and the feed rate deviation in the process deviation; a speed-time correction amount determined jointly by the speed deviation and the machining time deviation in the process deviation; and a temperature-flow rate correction amount determined jointly by the temperature deviation and the flow rate deviation in the process deviation. When the detection deviation between the enhanced detection feedback and the pin process status data meets the correction trigger condition, the candidate process parameter set is updated according to the pressure feed correction amount, the speed-time correction amount, and the temperature-flow rate correction amount; when the detection deviation does not meet the correction trigger condition, the parameter combination corresponding to the selected process parameter is retained.

[0012] As a further limitation on the participation of detection feedback in the correction process, the post-strengthened detection feedback includes a hardness feedback value obtained from the surface hardness detection after pin strengthening, a roughness feedback value obtained from the roughness detection after pin strengthening, and a dimensional change feedback value obtained from the dimensional re-inspection after pin strengthening. When the detection deviation between the hardness feedback value, the roughness feedback value, or the dimensional change feedback value and the corresponding pre-strengthened detection value in the pin process state data satisfies the correction trigger condition, the detection deviation is associated with the selected process parameter and the parameter execution deviation data to form a feedback record, and the candidate process parameter set is updated according to the feedback record.

[0013] As a further constraint on the anomaly rollback process, the backup parameter set includes a switchable parameter group formed by parameter combinations from the candidate process parameter set that satisfy the executable parameter range of the surface strengthening execution device and are not restricted from being called, and rollback screening conditions formed by pressure feed constraints, rotational speed-time constraints, and temperature-flow constraints defined by the process constraint relationships. When the parameter execution deviation data meets the anomaly triggering conditions, the corresponding process parameter combination is marked as a restricted parameter combination, and an alternative parameter combination is called from the switchable parameter group according to the rollback screening conditions; when the post-strengthening detection feedback meets the anomaly triggering conditions, the restricted parameter combination is associated with the post-strengthening detection feedback and stored, and the use of the restricted parameter combination as the selected process parameter for the remaining pins in the same batch or pins of the same specification is stopped.

[0014] This invention also provides a pin surface strengthening process parameter optimization system to support the above-mentioned method. The system includes an industrial control computer, a programmable logic controller (PLC), a detection instrument interface, an equipment operation interface, a parameter processor, and a feedback memory. The detection instrument interface inputs the pin material grade, size specifications, area to be strengthened, and pre-strengthening surface detection data to the industrial control computer. The parameter processor generates a set of candidate process parameters according to the input data, the executable parameter range of the surface strengthening execution device, and the process constraints. The PLC sends selected process parameters from the candidate process parameter set to the surface strengthening execution device. The equipment operation interface collects at least two types of equipment operation signals during the strengthening execution. The parameter processor compares the equipment operation signals with the selected process parameters to generate parameter execution deviation data, and generates a joint correction amount according to the parameter execution deviation data and the post-strengthening detection feedback in the feedback memory, updating the candidate process parameter set. When the parameter execution deviation data or the post-strengthening detection feedback meets the abnormal triggering conditions, the PLC restricts the corresponding process parameter combination and calls the backup parameter set.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0016] In this invention, pin shaft process status data is formed by combining material grade, size specifications, area to be strengthened, and pre-strengthening surface inspection data, thus providing a basis for parameter generation with corresponding input to the object to be processed. Candidate process parameter sets are filtered based on the executable parameter range and process constraints of the surface strengthening execution equipment, reducing the number of parameter combinations exceeding equipment boundaries or process sequence limitations. Parameter execution deviation data is generated by collecting equipment operating signals and comparing them with selected process parameters. A joint correction amount is generated using the parameter execution deviation data, pin shaft process status data, and post-strengthening inspection feedback, establishing a closed-loop control relationship between parameter issuance, process deviation, inspection feedback, and anomaly reversal. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the optimization of surface strengthening process parameters for the pin shaft according to the present invention.

[0019] Figure 2 This is a flow chart illustrating the generation and filtering of input data for the pin shaft process status data in this invention.

[0020] Figure 3 This is a logic diagram for the progressive screening of candidate process parameters for this invention.

[0021] Figure 4 The parameter execution deviation data of this invention generates a signal flow diagram;

[0022] Figure 5 This is a closed-loop diagram of the joint correction and abnormal rollback of the present invention. Detailed Implementation

[0023] The following description, in conjunction with the technical solutions and newly added drawings described in the application documents, illustrates the possible embodiments of the present invention. This description is intended to enable those skilled in the art to understand the specific execution relationships of data acquisition, parameter selection, process deviation formation, feedback correction, and anomaly reversal in the pin surface strengthening process of the present invention. The pin material grade, size specifications, area to be strengthened, surface inspection data before strengthening, inspection feedback after strengthening, equipment operating signals, and process parameters involved in the implementation process are all based on the names in the protection scope text. In the following embodiments, the surface strengthening execution equipment can correspond to shot peening equipment, rolling equipment, heat treatment equipment, or processing equipment capable of strengthening the pin surface; the industrial control computer, programmable controller, detection instrument interface, equipment operating interface, parameter processor, and feedback memory coordinate in the order of data input, parameter processing, control issuance, and feedback recording. The newly added drawings below are from... Figure 1 Begin with numbering, and use it to describe processes, data flows, logical judgments, feedback loops, and system collaboration relationships.

[0024] Please see Figures 1 to 5 This embodiment provides a method for optimizing the process parameters of pin surface strengthening. The method uses the pin as the process object, the current state of the pin and the executable state of the surface strengthening device as inputs, and candidate parameter screening, process deviation comparison, joint correction, and backup parameter rollback as processing chains, thus forming a traceable control process between parameter setting, device execution, and detection feedback.

[0025] During the acquisition phase, the industrial control computer or a data entry terminal connected to it obtains the pin's material grade, dimensions, area to be strengthened, and surface inspection data before strengthening. The pin's material grade can be entered from the process sheet, production batch record, or local process management record; the dimensions can be entered from dimensional inspection instruments or process records; the area to be strengthened can be formed from the machined parts such as journals, end faces, hole edges, or outer cylindrical surfaces recorded in the process card; the surface inspection data before strengthening can be obtained from a hardness tester, roughness tester, and dimensional inspection instrument. After the above data is written into the same process object record, pin process status data is formed. This data characterizes the material, geometry, and surface condition of the pin to be processed, serving as input for subsequent parameter selection.

[0026] The pin's process status data includes a material category field, a geometry field, and a surface condition field. The material category field corresponds to the pin's material grade and is used to distinguish the material's process compatibility during surface strengthening. The geometry field corresponds to the pin's diameter, length, and the location of the area to be strengthened, defining the geometric object to which process parameters are applied. The surface condition field corresponds to the surface hardness, roughness, and dimensional measurements before strengthening, characterizing the pin's surface condition before strengthening treatment. When the measured values ​​in the surface condition field are within the preset allowable range of surface condition conditions, the industrial control computer uses the material category field, geometry field, and surface condition field as inputs for filtering the candidate process parameter set. When the measured values ​​in the surface condition field are within the preset allowable range of surface condition conditions, the industrial control computer stops filtering the candidate process parameter set for the corresponding pin and records the pin's process object as pending confirmation. This process ensures that the data entering the filtering stage has a clear source and boundaries, preventing surface conditions that do not meet the set range of process constraints from directly participating in parameter issuance.

[0027] During the parameter screening phase, the parameter processor filters the set of candidate process parameters based on the pin's process status data, the executable parameter range of the surface strengthening actuator, and process constraints. The executable parameter range of the surface strengthening actuator is determined by the device's rated operating range, drive feedback range, or controller-issued range, and must at least cover relevant parameters from strengthening pressure, rotational speed, feed rate, processing time, temperature, or flow rate. Process constraints are used to limit the matching conditions between different process parameters, ensuring that the parameter combinations entering the candidate process parameter set are simultaneously constrained by the pin object's state, the device's execution boundaries, and the process sequence.

[0028] The candidate process parameter set includes basic process card parameters, equipment boundary parameters, and state adaptation parameters. The basic process card parameters are obtained by matching the material category and geometry fields. The equipment boundary parameters are defined by the rated operating range of the surface strengthening equipment. The state adaptation parameters are obtained by comparing the surface state field with the process constraints. When the basic process card parameters simultaneously satisfy both the equipment boundary parameters and the state adaptation parameters, the parameter processor writes the corresponding parameter combination into the candidate process parameter set. When the basic process card parameters do not satisfy either the equipment boundary parameters or the state adaptation parameters, the parameter processor excludes the corresponding parameter combination. This filtering process does not simply call a fixed process card; instead, it overlays equipment boundary and surface state conditions on top of the basic process card parameters.

[0029] Process constraints include pressure-feed constraints, rotational speed-time constraints, and temperature-flow constraints. Pressure-feed constraints define the relationship between pressure and feed rate; rotational speed-time constraints define the relationship between rotational speed and processing time; and temperature-flow constraints define the relationship between temperature and flow rate. The parameter processor progressively filters parameter combinations in the candidate process parameter set according to these constraints. Parameter combinations that pass the filter are used to form the selected process parameters, while those that fail are added to the backup parameter set or restricted from use. During the progressive filtering process, parameter combinations rejected by a previous constraint do not enter the pass set for the next constraint, and the passed parameter combinations maintain their correspondence according to the equipment's executable state and the pin-axis process object record.

[0030] During the parameter distribution phase, the programmable logic controller (PLC) receives the selected process parameters output by the industrial control computer (ICC) or parameter processor and distributes these parameters to the surface strengthening execution equipment. The selected process parameters must include at least the parameters corresponding to the current strengthening process: strengthening pressure, rotational speed, feed rate, processing time, temperature, or flow rate. The surface strengthening execution equipment performs the pin surface strengthening operation according to the selected process parameters, generating at least two types of operating signals during execution: pressure, rotational speed, feed rate, temperature, flow rate, and processing time. The equipment's operating interface collects these signals and transmits them to the ICC or parameter processor, ensuring that the process status corresponds to the distributed parameters.

[0031] During the process deviation formation stage, the equipment operation interface acquires pressure, rotational speed, feed rate, temperature, flow rate, and processing time samples within the same sampling time window. Simultaneously, the programmable controller receives an execution status identifier from the surface strengthening execution device. This execution status identifier indicates whether the equipment execution segment within the current sampling time window corresponds to the selected process parameter. When the execution status identifier matches the sampling time window, the pressure, rotational speed, feed rate, temperature, flow rate, and processing time samples are used to generate parameter execution deviation data. When the execution status identifier does not match the sampling time window, the equipment operation interface marks the equipment operation signals acquired within that sampling time window as invalid sampling records, refrains from using them for parameter execution deviation data calculation, and continues to acquire equipment operation signals in the next sampling time window.

[0032] Parameter execution deviation data includes pressure deviation, speed deviation, and process deviation. Pressure deviation is obtained by comparing the actual pressure in the equipment operating signal with the set pressure in the selected process parameters; speed deviation is obtained by comparing the actual speed in the equipment operating signal with the set speed in the selected process parameters; process deviation is obtained by comparing the actual feed rate, actual temperature, actual flow rate, or actual processing time in the equipment operating signal with the corresponding set value in the selected process parameters. When the pressure deviation, speed deviation, or process deviation meets the deviation threshold condition, the parameter processor writes the corresponding deviation into the parameter execution deviation data; when the corresponding deviation does not meet the deviation threshold condition, the parameter processor stores the corresponding deviation as a normal execution record. The deviation threshold condition is jointly determined by the process constraints and the equipment execution boundary, specifically including pressure deviation exceeding the set pressure allowable deviation range, speed deviation exceeding the set speed allowable deviation range, or any one of the feed rate deviation, temperature deviation, flow rate deviation, or processing time deviation exceeding the allowable deviation range of the corresponding set value; the allowable deviation range is determined by the process card, the equipment's rated operating range, the controller's output range, or qualified processing records of the same specification pin.

[0033] During the feedback detection phase, after the pin has undergone surface hardening, the detection instrument interface obtains post-hardening detection feedback. This feedback includes hardness feedback, roughness feedback, and dimensional change feedback. The hardness feedback is obtained from the surface hardness detection after pin hardening, the roughness feedback is obtained from the roughness detection after pin hardening, and the dimensional change feedback is obtained from the dimensional re-inspection after pin hardening. The parameter processor compares the hardness, roughness, and dimensional change feedback values ​​with their corresponding pre-hardening detection values ​​in the pin's process state data, forming a detection deviation. When the detection deviation between the hardness, roughness, or dimensional change feedback value and its corresponding pre-hardening detection value in the pin's process state data meets the correction trigger condition, the parameter processor associates the detection deviation with the selected process parameter and parameter execution deviation data to form a feedback record, and updates the candidate process parameter set according to the feedback record. When the detection deviation does not meet the correction trigger condition, the parameter processor retains the parameter combination corresponding to the selected process parameter and saves the execution result as a normal feedback record.

[0034] During the joint correction phase, the parameter processor generates joint correction values ​​for at least two process parameters based on parameter execution deviation data, pin process status data, and post-enhancement detection feedback. These joint correction values ​​include pressure feed correction, speed-time correction, and temperature-flow correction. The pressure feed correction is determined by the pressure deviation and the feed rate deviation within the process deviation; the speed-time correction is determined by the speed deviation and the machining time deviation within the process deviation; and the temperature-flow correction is determined by the temperature deviation and flow rate deviation within the process deviation. When the detection deviation between the post-enhancement detection feedback and the pin process status data meets the correction trigger condition, the parameter processor updates the candidate process parameter set according to the pressure feed correction, speed-time correction, and temperature-flow correction. When the detection deviation does not meet the correction trigger condition, the parameter processor retains the parameter combination corresponding to the selected process parameters. Therefore, the correction process does not rely solely on the independent change of a single parameter, but rather forms a set of parameter adjustment results that can be distributed or filtered based on the correlation between groups of parameters.

[0035] During the anomaly rollback phase, the backup parameter set includes switchable parameter groups and rollback screening conditions. Switchable parameter groups consist of combinations of parameters from the candidate process parameter set that satisfy the executable parameter range of the surface strengthening device and are not restricted from being called. Rollback screening conditions are formed by pressure feed constraints, rotational speed-time constraints, and temperature-flow constraints defined by process constraints. When parameter execution deviations meet the anomaly triggering conditions, the parameter processor marks the corresponding process parameter combination as a restricted parameter combination and calls an alternative parameter combination from the switchable parameter group according to the rollback screening conditions. When post-strengthening detection feedback meets the anomaly triggering conditions, the parameter processor associates and stores the restricted parameter combination with the post-strengthening detection feedback and stops using the restricted parameter combination as the selected process parameter for the remaining pins in the same batch or pins of the same specification. The anomaly triggering conditions are jointly defined by deviation threshold conditions, correction triggering conditions, and the executable parameter range of the device.

[0036] Please see Figure 5This embodiment also provides a pin surface strengthening process parameter optimization system to support the aforementioned pin surface strengthening process parameter optimization method. The system includes an industrial control computer, a programmable logic controller (PLC), a detection instrument interface, an equipment operation interface, a parameter processor, and a feedback memory. The industrial control computer or data input terminal inputs the pin material grade, size specifications, and the area to be strengthened. The detection instrument interface inputs pre-strength surface detection data to the industrial control computer. The parameter processor generates a set of candidate process parameters based on the input data, the executable parameter range of the surface strengthening execution equipment, and process constraints. The PLC sends selected process parameters from the candidate process parameter set to the surface strengthening execution equipment. The equipment operation interface collects at least two types of equipment operation signals during the strengthening execution. The parameter processor compares the equipment operation signals with the selected process parameters to generate parameter execution deviation data, and generates a joint correction amount based on the parameter execution deviation data and the post-strength detection feedback in the feedback memory, updating the candidate process parameter set. When the parameter execution deviation data or the post-strength detection feedback meets the abnormal triggering conditions, the parameter processor restricts the corresponding process parameter combination and calls the backup parameter set. The PLC executes the parameter issuance according to the alternative parameter combination output by the parameter processor.

[0037] The industrial control computer is used to record the pin shaft process object, parameter screening results, and process execution records. The instrument interface receives test data from hardness testers, roughness testers, and dimensional measuring instruments, and also receives hardness feedback values, roughness feedback values, and dimensional change feedback values ​​generated during the post-strengthening testing phase. The equipment operation interface receives pressure sampling values, rotational speed sampling values, feed rate sampling values, temperature sampling values, flow rate sampling values, processing time sampling values, and execution status identifiers from the surface strengthening execution equipment during execution. The parameter processor is used to generate pin shaft process status data, screen candidate process parameter sets, generate parameter execution deviation data, generate joint correction amounts, and call up spare parameter sets. The feedback memory is used to associate and store the pre-strengthening state, selected process parameters, parameter execution deviation data, post-strengthening testing feedback, feedback records, and constrained parameter combinations.

[0038] During system operation, the testing instrument interface writes the pre-strengthening testing data to the industrial control computer (ICC), which then transmits the resulting pin process status data to the parameter processor. After parameter filtering, the parameter processor sends the selected process parameters to the programmable logic controller (PLC). The PLC converts the selected process parameters into setpoints or control commands that the surface strengthening execution device can accept, and controls the device to perform pin surface strengthening. During execution, the equipment operation interface acquires the equipment operation signal and returns it to the parameter processor. After generating parameter execution deviation data, the parameter processor associates the deviation judgment result with the record in the feedback memory. After post-strengthening testing is completed, the testing instrument interface again inputs the post-strengthening testing feedback to the ICC or parameter processor. The parameter processor generates a joint correction amount based on the post-strengthening testing feedback and the parameter execution deviation data. When the parameter execution deviation data or the post-strengthening testing feedback meets the abnormal triggering conditions, the PLC performs parameter switching or restriction processing based on the backup parameter call result output by the parameter processor.

[0039] In the above embodiments, material category fields, geometric fields, surface condition fields, process card basic parameters, equipment boundary parameters, state adaptation parameters, pressure deviation, speed deviation, process deviation, pressure feed correction, speed-time correction, temperature-flow correction, hardness feedback value, roughness feedback value, dimensional change feedback value, feedback records, switchable parameter groups, rollback filtering conditions, and restricted parameter combinations are all considered as data objects or state objects in the technical solutions described in this invention. The source, processing stage, and subsequent use of each data object maintain a corresponding relationship within the aforementioned process; data objects from different sources or with different uses should not be mixed. The invention is not limited by the examples listed herein regarding specific communication methods, storage formats, data table structures, and sampling periods.

[0040] The processes, field states, processing order, judgment conditions, parameter sources, module collaboration, and carrier inheritance relationships of the above specific embodiments are used to explain the possible implementations of the present invention and should not limit the present invention to the specific embodiments listed. Without departing from the technical solutions described in the present invention, any equivalent substitutions, equivalent modifications, equivalent combinations, order adjustments, corresponding module replacements, equivalent changes in field names, equivalent inheritance of the executing entity, or equivalent changes in the carrier form that can be conceived by those skilled in the art should fall within the scope of protection of this patent; however, they should not be extended to unclaimed topics, nor should the substantive correspondence of the technical objects be changed through name changes.

Claims

1. A method for optimizing the surface strengthening process parameters of a pin shaft, characterized in that, Obtain the pin material grade, size specifications, area to be strengthened, and surface inspection data before strengthening, and generate pin process status data; Based on the pin process status data, the range of executable parameters of the surface strengthening actuator, and the process constraint relationship, a set of candidate process parameters is selected, and the selected process parameters are sent to the surface strengthening actuator. Collect at least two types of equipment operation signals from pressure, rotational speed, feed rate, temperature, flow rate, and processing time during enhanced execution, and compare the equipment operation signals with the selected process parameters to generate parameter execution deviation data; The deviation data, the pin process status data, and the enhanced detection feedback are used to generate a joint correction amount for at least two process parameters according to the parameters, and the candidate process parameter set is updated with the joint correction amount. When the parameter execution deviates from the data or the enhanced detection feedback meets the abnormal triggering conditions, the corresponding process parameter combination is restricted and the backup parameter set is called.

2. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 1, characterized in that, The pin shaft process status data includes: The material category field is formed by the material grade of the pin. Geometric fields formed by the pin diameter, length, and the location of the area to be reinforced; The surface condition field is formed by the corresponding values ​​of surface hardness, roughness, and dimensions before strengthening; Specifically, when the detected value in the surface condition field is within the preset allowable range of surface condition conditions, the material category field, the geometry field, and the surface condition field are used as the filtering inputs for the candidate process parameter set. When the detected value in the surface condition field is within the preset allowable range of surface condition conditions, the filtering of the candidate process parameter set for the corresponding pin is stopped.

3. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 2, characterized in that, The candidate process parameter set includes: The basic parameters of the process card are obtained by matching the material category field and the geometry field together; Equipment boundary parameters obtained by defining the rated operating range of the surface strengthening actuator; The state adaptation parameters are obtained by comparing the surface state field with the preset surface state adaptation conditions; Specifically, when the basic parameters of the process card simultaneously satisfy the equipment boundary parameters and the state adaptation parameters, the corresponding parameter combination is written into the candidate process parameter set; when the basic parameters of the process card do not satisfy the equipment boundary parameters or the state adaptation parameters, the corresponding parameter combination is excluded.

4. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 1, characterized in that, The process constraints include: Pressure feed constraint used to define the relationship between reinforcement pressure and feed rate; Spindle-time constraint used to define the relationship between spindle speed and processing time; Temperature-flow constraint used to define the relationship between temperature and flow rate; Specifically, the parameter combinations in the candidate process parameter set are progressively screened according to the pressure feed constraint, the rotation speed and time constraint, and the temperature and flow rate constraint. The parameter combinations that pass the screening are used to form the selected process parameters, while the parameter combinations that fail the screening are restricted from use. The parameter combinations that are not selected as process parameters but simultaneously meet the executable parameter range of the surface strengthening actuator, are not restricted from use, and meet the pressure feed constraint, the rotation speed and time constraint, and the temperature and flow rate constraint are determined to meet the back-down screening conditions and enter the backup parameter set.

5. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 1, characterized in that, The parameter execution deviation data includes: The pressure deviation is obtained by comparing the current pressure in the equipment operation signal with the set pressure in the selected process parameters. The speed deviation is obtained by comparing the current speed in the equipment operation signal with the set speed in the selected process parameters. The current feed rate, current temperature, current flow rate, and current processing time in the equipment operation signal are compared with the corresponding set values ​​in the selected process parameters to obtain the feed rate deviation, temperature deviation, flow rate deviation, and processing time deviation, respectively, and the feed rate deviation, temperature deviation, flow rate deviation, and processing time deviation are taken as process deviations; Specifically, when the pressure deviation, the speed deviation, or the process deviation meets the deviation threshold condition, the corresponding deviation is written into the parameter execution deviation data; when the corresponding deviation does not meet the deviation threshold condition, the corresponding deviation is stored as a normal execution record.

6. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 5, characterized in that, The device operation signals include: Pressure sampling values, rotational speed sampling values, feed rate sampling values, temperature sampling values, flow rate sampling values, and processing time sampling values ​​were obtained within the same sampling time window; The programmable controller receives the execution status indicator fed back by the surface strengthening execution device; Specifically, when the execution status identifier matches the sampling time window, the pressure sampling value, the rotational speed sampling value, the feed rate sampling value, the temperature sampling value, the flow rate sampling value, and the processing time sampling value are used to generate the parameter execution deviation data. When the execution status identifier does not match the sampling time window, the equipment operation signal within the corresponding sampling time window is re-acquired.

7. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 1, characterized in that, The joint correction includes: The pressure feed correction amount is determined jointly by the pressure deviation and the feed rate deviation in the process deviation; The speed-time correction amount is determined jointly by the speed deviation and the machining time deviation in the process deviation; The temperature-flow correction amount is determined by the temperature deviation and flow rate deviation in the process deviation. Specifically, when the detection deviation between the enhanced detection feedback and the pin process status data meets the correction trigger condition, the candidate process parameter set is updated according to the pressure feed correction amount, the speed and time correction amount, and the temperature and flow rate correction amount. When the detection deviation does not meet the correction trigger condition, the parameter combination corresponding to the selected process parameter is retained.

8. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 7, characterized in that, The enhanced detection feedback includes: Hardness feedback data obtained from surface hardness testing after pin reinforcement; Roughness feedback data obtained from roughness testing after pin reinforcement; Dimensional change feedback data obtained from dimensional re-inspection after pin reinforcement; Specifically, when the detection deviation between the hardness feedback data, the roughness feedback data, or the dimensional change feedback data and the corresponding pre-strengthening detection value in the pin process state data meets the correction trigger condition, the detection deviation is associated with the selected process parameter and the parameter execution deviation data to form a feedback record, and the candidate process parameter set is updated according to the feedback record.

9. The method for optimizing the surface strengthening process parameters of a pin shaft according to claim 1, characterized in that, The set of backup parameters includes: A switchable parameter group is formed by a combination of parameters from the candidate process parameter set that satisfy the executable parameter range of the surface strengthening execution device and are not restricted from being called. The back-off screening conditions are formed by the pressure feed constraint, rotation speed and time constraint, and temperature and flow rate constraint defined by the process constraint relationship; When the deviation data of the parameter execution meets the abnormal triggering condition, the corresponding process parameter combination is marked as a restricted parameter combination, and an alternative parameter combination is called from the switchable parameter group according to the rollback screening condition; When the enhanced detection feedback meets the abnormal triggering condition, the restricted parameter combination is associated with the enhanced detection feedback and stored, and the restricted parameter combination is stopped from being used as the selected process parameter for the remaining pins in the same batch or pins of the same specification.

10. A pin surface strengthening process parameter optimization system, used to support the pin surface strengthening process parameter optimization method according to any one of claims 1 to 9, characterized in that, This includes industrial control computers, programmable logic controllers, testing instrument interfaces, equipment operation interfaces, parameter processors, and feedback memory; The testing instrument interface inputs the pin material grade, size specifications, area to be strengthened, and surface testing data before strengthening to the industrial control computer. The parameter processor generates a set of candidate process parameters according to the input data, the range of executable parameters of the surface strengthening execution equipment, and process constraints. The programmable controller sends selected process parameters from the candidate process parameter set to the surface strengthening execution device, and the device operation interface collects at least two types of device operation signals during the strengthening execution. The parameter processor compares the equipment operating signal with the selected process parameters to generate parameter execution deviation data, and generates a joint correction amount based on the parameter execution deviation data and the enhanced post-detection feedback in the feedback memory, thereby updating the candidate process parameter set; When the parameter execution deviates from the data or the enhanced detection feedback meets the abnormal triggering conditions, the programmable controller restricts the corresponding process parameter combination and calls the backup parameter set.