Intelligent ring winding equipment for developing and producing piston rings

Abstract

This invention relates to the field of piston ring production, and more particularly to an intelligent piston ring rolling device for piston ring development and production. It includes a frame, an execution assembly, and a control system with a built-in closed-loop control module. The closed-loop control module matches the set values ​​of the execution assembly's operating parameters based on the input target piston ring forming parameters. The execution assembly is located on the frame and electrically connected to the control system. The execution assembly includes a feeding input unit and an execution unit located on the frame, and two sets of base rods with friction detection hinged to the lower part of the frame and connected to the control system. The two sets of base rods with friction detection collect friction data between the piston ring and the base rods in real time and feed it back to the control system. The control system performs real-time detection of piston ring forming parameters based on the friction data and performs real-time closed-loop correction of the operating parameters of each unit based on the detection results.

Description

Technical Field

[0001] This invention relates to the field of piston ring production, and more particularly to an intelligent ring coiling device for piston ring development and production. Background Technology

[0002] Piston rings are core sealing components in power machinery such as internal combustion engines and compressors, and their forming precision directly affects the sealing performance and service life of the equipment. The ring rolling process is the core step in piston ring production, used to continuously roll straight steel wire material into a threaded piston ring blank that meets design requirements. Currently, conventional piston ring rolling equipment (refer to the Chinese utility model patent with authorization announcement number CN207372192U) can only achieve constant-speed rolling with preset parameters in its feeding unit, inner and outer ring drive unit, and push unit. It has the following core defects: First, it cannot detect key parameters such as the actual total forming length and diameter consistency of the piston ring online in real time. It can only detect them offline after the rolling is completed. Defective products cannot be detected and corrected in time, resulting in a high scrap rate, which is not conducive to piston ring development, trial production, and parameter iteration. Second, the bottom rod of the equipment can only play a supporting and limiting role. It cannot provide real-time feedback on the forming status of the piston ring during the rolling process and has no process detection capability. Third, it cannot perform real-time closed-loop correction of operating parameters based on the actual forming status during the rolling process. Factors such as material fluctuations and equipment wear can lead to deviations in forming accuracy, which cannot meet the high-precision control requirements of piston ring development and production. Summary of the Invention

[0003] To address the aforementioned problems in the existing technology, this invention provides an intelligent ring winding device for piston ring development and production.

[0004] The objective of this invention can be achieved through the following technical solutions: A smart piston ring rolling device for piston ring development and production includes a frame, an execution component, and a control system with a built-in closed-loop control module. The closed-loop control module matches the set values ​​of the execution component's operating parameters based on the input target piston ring forming parameters. The execution component is mounted on the frame and electrically connected to the control system. The execution component includes a feeding input unit and an execution unit mounted on the frame, and two sets of base rods with friction detection hinged to the lower part of the frame and connected to the control system. A triangular support structure is formed between the execution unit and the two sets of base rods to spirally roll the feed material into a piston ring. The two sets of base rods with friction detection collect friction data between the piston ring and the base rods in real time and feed it back to the control system. The control system performs real-time detection of the piston ring forming parameters based on the friction data and performs real-time closed-loop correction of the operating parameters of each unit based on the detection results.

[0005] Furthermore, the surface of the base rod with friction detection is also provided with a friction force detection unit, which is communicatively connected to the control system and is used to collect the friction force signal between the piston ring and the base rod body in real time during the piston ring spiral forward process.

[0006] Furthermore, the friction force detection unit includes an array of friction force sensors and a signal acquisition module. The friction force sensor is a piezoelectric friction force sensor, which is embedded in the surface of the base rod and flush with the surface. The signal acquisition module is electrically connected to the friction force sensor and converts the acquired analog friction force signal into a digital signal and transmits it to the control system.

[0007] Furthermore, the control system performs online verification of the actual total length of the piston ring based on the friction force signal. Specifically, when the piston ring head contacts the bottom rod body, the friction force signal first exceeds the trigger threshold, and the control system uses this as the starting point for timing; when the piston ring tail leaves the bottom rod body, the friction force signal returns to zero and disappears, and the control system uses this as the ending point for timing to obtain the actual friction duration. Combining the piston ring pitch and helical advance linear velocity parameters pre-stored in the model, the actual total length of the piston ring is calculated using the formula L=V×T, where L is the actual total length, V is the helical advance linear velocity, and T is the actual friction duration. The actual total length is compared with the target total length for verification to obtain the length deviation.

[0008] Furthermore, the control system performs real-time detection of piston ring diameter consistency based on the friction force signal. Specifically, the control system collects the amplitude and friction coefficient of the friction force signal in real time and compares them with a preset normal threshold range. When the piston ring diameter is too large, the contact pressure between it and the bottom rod body increases, and the friction force amplitude and friction coefficient increase simultaneously. When the piston ring diameter is too small, the contact pressure between it and the bottom rod body decreases, and the friction force amplitude and friction coefficient decrease simultaneously. When the friction force exceeds the preset threshold range, the control system determines that the piston ring diameter is inconsistent.

[0009] Furthermore, the execution unit includes an inner ring drive unit, an outer ring drive unit, and an outward push unit; the inner ring drive unit and the outer ring drive unit are symmetrically arranged vertically and located on the upper part of the frame, forming a bending gap between them, and the outward push unit is located on one side between the inner ring drive unit and the bottom rod.

[0010] Furthermore, the control system has a built-in closed-loop control module, which matches and outputs the operating parameter settings of the feeding input unit, inner ring drive unit, outer ring drive unit and push unit based on the input piston ring target forming parameters.

[0011] Furthermore, the closed-loop control model is a pre-established multivariate parameter mapping model, which includes obtaining a set of matching parameters for feeding speed, drive speed, and pushing speed under different material materials, wire diameters, target piston ring diameters, pitches, and total lengths through orthogonal experiments. Based on modifying the total length parameter of the target piston ring, the control system adjusts the operating parameters of each execution unit to the corresponding set values ​​in real time.

[0012] Furthermore, the control system is also used to collect the real-time driving speed and real-time driving force of the inner loop drive unit and the outer loop drive unit in real time. When the frictional force is abnormal and causes the real-time driving speed to deviate from the driving speed set by the model, it is determined that the real-time driving force does not match the actual conveying length of the material and there is a risk of length error. The parameter closed-loop correction is immediately triggered.

[0013] Furthermore, the control system includes a PLC controller, a human-machine interface, and a servo drive module. The human-machine interface and the servo drive module are both electrically connected to the PLC controller. The servo drive module is electrically connected to the feed input unit, the inner loop drive unit, the outer loop drive unit, and the extrapolation unit, respectively. The PLC controller has built-in the multi-parameter linkage closed-loop control model and PID correction algorithm. The human-machine interface is used to input target processing parameters and preset thresholds, and to display the equipment operating status, quality inspection results, and abnormal alarm information in real time.

[0014] The beneficial effects of this invention are as follows: This invention establishes a linkage mapping relationship between the total length of the target piston ring and the feeding speed, the inner and outer ring drive speeds, and the outward push speed through a built-in multi-parameter linkage closed-loop control model. Only the total length parameter needs to be modified to automatically complete the matching and adjustment of the operating parameters of each unit, which completely solves the problems of low efficiency and poor matching accuracy of independent parameter adjustment in existing equipment, and greatly improves the debugging efficiency and parameter control accuracy of the equipment.

[0015] This invention integrates a friction detection unit on the bottom support rod, enabling online verification of the total length and real-time detection of the diameter consistency during piston ring processing. It can identify molding defects in real time without offline detection, avoiding the generation of batch scrap and significantly improving quality control efficiency and finished product qualification rate.

[0016] This invention deeply integrates online friction detection data with a multi-parameter linkage control model. Through a PID algorithm, it performs real-time closed-loop correction of the feeding speed, drive speed, and push speed, which can effectively compensate for length errors and molding defects caused by abnormal friction and material performance fluctuations, significantly improving the dimensional accuracy and consistency of the finished piston rings. Attached Figure Description

[0017] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0018] Figure 1 This is the front view of the present invention; Figure 2 This is a schematic diagram of the base rod of the present invention; Legend: 1. Feed input unit; 2. Inner ring drive unit; 3. Outer ring drive unit; 4. Push unit; 5. Bottom rod; 6. Friction detection unit. Detailed Implementation

[0019] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0020] Because the bottom rod 5 of the existing piston ring rolling equipment only has the function of bottom support and limit, it lacks the ability to detect the forming status during the rolling process. It is difficult to obtain the actual forming data of the piston ring online. It can only complete the offline inspection of the finished product after rolling, and it is difficult to correct the operating parameters in real time, resulting in poor forming accuracy and high scrap rate. At the same time, the operating parameters of multiple units need to be manually matched and adjusted one by one, which makes the trial production efficiency of adapting to different specifications of piston rings extremely low, and cannot meet the core requirements of high precision and rapid iteration in development and production.

[0021] In this regard, refer to Figures 1-2 This embodiment provides an intelligent piston ring rolling device for piston ring development and production, including a frame, an execution component, and a control system with a built-in closed-loop control module. The closed-loop control module matches the set values ​​of the execution component's operating parameters based on the input target piston ring forming parameters. The execution component is located on the frame and electrically connected to the control system. The execution component includes a feeding input unit 1 and an execution unit located on the frame, as well as two sets of base rods 5 with friction detection hinged to the frame and connected to the control system. A triangular support structure is formed between the execution unit and the two sets of base rods 5 to spirally roll the feed material into a piston ring. The two sets of base rods 5 with friction detection collect friction data between the piston ring and the base rods 5 in real time during the piston ring rolling process and feed it back to the control system. The control system completes real-time detection of the piston ring forming parameters based on the friction data and performs real-time closed-loop correction of the operating parameters of each unit according to the detection results.

[0022] Specifically, two sets of friction detection base rods 5 are symmetrically and hinged at the bottom of the frame. The bottom of the two sets of base rods 5 is supported by external electric push rods to maintain a vertical state, located below the piston ring to be rolled (as the bottom of the triangular support structure), used to support and limit the piston ring during the rolling process. The drive wheel of the execution unit located at the top of the frame forms a stable triangular support structure with the two sets of base rods 5, so that the bent material advances in a spiral along the axial direction of the base rod 5 assembly, and is finally continuously rolled into a threaded piston ring. This triangular space is the maximum ring diameter of the piston ring.

[0023] Specifically, the base rod 5 with friction detection is a wear-resistant hard alloy rod with an arc-shaped surface matching the outer circle of the piston ring. A friction detection unit 6 is embedded on the arc-shaped surface. The friction detection unit 6 includes an array of piezoelectric friction sensors and a signal acquisition module. The sensing surface of the friction sensor is flush with the surface of the base rod 5 and does not affect the spiral advance of the piston ring. The signal acquisition module is integrated at the end of the base rod 5 body and has built-in signal amplification, filtering and analog-to-digital conversion circuits. It is connected to the control system via a shielded cable to transmit the collected friction signals to the control system in real time. The piezoelectric friction sensor of the friction detection unit 6 collects the contact time between the base rod 5 and the outer circle of the piston ring. Combined with the set output rolling speed, the total length of the piston ring is determined. If there is an error in the contact time, the total length is determined to be incorrect. In addition, since the piston ring spiral axis advances, there is still a certain distance between the piston ring from the cutting end and the single-point acquisition end of the piezoelectric friction sensor. Based on the above, in order to ensure that the piston ring tail end is disengaged from the piezoelectric friction sensor on the base rod 5, the execution unit continues to transport the piston ring an additional distance.

[0024] Because existing piston ring winding equipment struggles to verify the actual total length of the piston ring online, it can only measure it manually or with specialized measuring tools after winding is completed and the machine is stopped. This makes it impossible to obtain length deviations in real time during winding, and to correct operating parameters such as feeding in a timely manner, easily leading to problems with finished product length exceeding tolerances. To address this, the control system performs online verification of the actual total length of the piston ring based on the friction force signal. Specifically: when the piston ring head contacts the base rod 5 body, the friction force signal first exceeds the trigger threshold, and the control system uses this as the starting point for timing; when the piston ring tail leaves the base rod 5 body, the friction force signal returns to zero and disappears, and the control system uses this as the ending point for timing, obtaining the actual friction duration. Combining the piston ring pitch and spiral advance linear velocity parameters pre-stored in the model, the actual total length of the piston ring is calculated using the formula L=V×T, where L is the actual total length, V is the spiral advance linear velocity, and T is the actual friction duration. The actual total length is then compared with the target total length to obtain the length deviation.

[0025] This invention addresses the problems of existing equipment's inability to verify the actual total length of piston rings online, requiring offline testing with downtime, resulting in low testing efficiency and the inability to detect length deviations in real time. It also solves the problem of not being able to acquire length deviations in real time during the rolling process, hindering timely correction of operating parameters and leading to poor finished product length accuracy and high scrap rates. The new method enables non-stop online verification of the total length of piston rings, improving testing efficiency and production continuity. Simultaneously, it accurately locates the beginning and end positions of the piston ring based on the start and end times of friction signals, calculates the actual length using pre-stored parameters, and acquires length deviations in real time, providing accurate verification data for subsequent parameter closed-loop correction. This effectively avoids finished product length deviations and improves the forming accuracy and pass rate of piston ring length dimensions.

[0026] Specifically, the closed-loop control module automatically matches and outputs the operating parameter settings of each unit of the execution component based on the piston ring target forming parameters (such as material type, wire diameter, target circle diameter, pitch, total length, etc.) input by the operator. The execution unit and the two sets of base rods 5 form a triangular support structure for the spiral winding of the feed material into the piston ring. This triangular structure mainly provides three-point limiting on the outer side of the piston ring to be formed. Therefore, the two sets of base rods 5 serve both as limiting triangles and as a support for the piston ring to be rolled. Furthermore, during the rolling process, the two sets of base rods 5 with friction detection collect friction data between the piston ring and the base rods 5 in real time. By introducing a real-time detection and closed-loop correction mechanism based on friction data, dynamic control of the rolling process is achieved, effectively solving the problem of traditional equipment's difficulty in online detection and correction of forming parameters, and improving the rolling accuracy and consistency of the piston ring.

[0027] Specifically, the execution unit comprises a feeding input unit 1, an inner ring drive unit 2, an outer ring drive unit 3, and an outward push unit 4. The inner ring drive unit 2 and outer ring drive unit 3 are symmetrically arranged vertically, located on the upper inner and outer sides of the piston ring to be formed, respectively, forming a rolling gap for bending and forming the material. The discharge end of the feeding input unit 1 is aligned with the rolling gap and is used to continuously feed steel wire material into the rolling gap. The outward push unit 4 is located on the outer side of the discharge side of the rolling gap and is used to apply axial thrust to the rolled material, pushing the material forward axially. (See reference...) Figure 2 The arrow in the image indicates the direction of travel.

[0028] The feeding input unit 1 uses existing technology, with a feeding servo motor electrically connected to the control system to achieve precise closed-loop control of the feeding speed. The inner loop drive unit 2 and outer loop drive unit 3 have identical structures, both including a drive servo motor and a forming drive wheel. The outer circumferential surface of the forming drive wheel has an arc-shaped forming groove matching the cross-section of the steel wire material. The forming grooves of the two sets of forming drive wheels are arranged opposite each other to form a rolling gap. The drive servo motor is electrically connected to the control system, and the two sets of drive servo motors operate synchronously to ensure the stability of the material bending and forming. The outer push unit 4 includes a push servo cylinder and a push head. The push head is fixedly installed to the push rod end of the push servo cylinder by bolts. The push surface of the push head faces the axial end face of the rolled material. The push servo cylinder is electrically connected to the servo drive module of the control system for precise control of the push speed and axial thrust.

[0029] The feeding input unit 1, inner loop drive unit 2, and outer push unit 4 described above all adopt existing technologies, referencing authorization number CN207372192U. The control system includes a PLC controller, a human-machine interface, and a servo drive module. The human-machine interface and servo drive module are electrically connected to the controller via an industrial bus. The servo drive module is electrically connected to the feeding servo motor, the drive servo motor, and the push servo cylinder, respectively. The PLC controller has a built-in closed-loop control model and PID correction algorithm. The human-machine interface is used to input target processing parameters, preset friction thresholds, length tolerances, etc., and simultaneously displays the equipment operating status, quality inspection results, and abnormal alarm information in real time.

[0030] The closed-loop control model is a pre-established multiple linear regression model. Through orthogonal experiments, the optimal matching parameter set for feeding speed, drive speed, and push speed is obtained under different steel wire materials, wire diameters, target piston ring diameters, pitches, and total lengths. The model is then trained using multiple linear regression and pre-stored in the PLC controller. The core input of the model is the total length of the target piston ring, while the auxiliary inputs are the material material, wire diameter, target piston ring diameter, and target piston ring pitch. The outputs are the corresponding set values ​​for feeding speed, drive speed, and push speed. When the operator modifies the total length parameter of the target piston ring through the human-machine interface, the PLC controller automatically calculates and outputs the corresponding parameters based on the model. The servo drive module then adjusts the operating parameters of each execution unit to the set values, achieving one-click parameter matching.

[0031] The specific workflow of this embodiment is as follows: Pre-processing parameter setting: The operator inputs the material parameters (65Mn steel wire, wire diameter 0.8mm), target piston ring parameters (circular diameter 25mm, pitch 1.5mm, total length 300mm), preset friction threshold range, and length tolerance ±0.5mm into the human-machine interface. The PLC controller automatically calculates and outputs the corresponding feed speed of 8m / min, drive speed of 120r / min, and push speed of 1.5mm / r based on the built-in closed-loop control model, and sends them to the servo drive module.

[0032] Rolling Start-up: The equipment starts up, and the feeding servo motor of the feeding input unit 1 drives the feeding roller group to rotate, feeding the steel wire material into the rolling gap through the guide tube; the two sets of drive servo motors of the inner ring drive unit 2 and the outer ring drive unit 3 in the execution unit synchronously drive the forming drive wheel to rotate, and the steel wire material is continuously bent and formed under the extrusion of the two forming drive wheels; the pushing servo electric cylinder of the pushing unit 4 in the execution unit drives the pushing head to move forward, applying axial thrust to the formed material; the two sets of bottom rods 5 support and limit the formed material, and under the constraint of the triangular support structure, the material moves forward in a spiral along the axial direction of the bottom rod 5 body, continuously rolling into a threaded piston ring.

[0033] Online detection and quality verification: During the rolling process, the friction sensor on the bottom rod 5 collects the friction signal between the piston ring and the bottom rod 5 in real time, and sends it to the PLC controller after being processed by the signal acquisition module.

[0034] The PLC controller first performs an online verification of the total length: when the head of the piston ring contacts the bottom rod 5 and the friction force signal first exceeds the trigger threshold of 0.5N, the PLC controller takes this as the starting point for timing; when the tail of the piston ring leaves the body of the bottom rod 5 and the friction force signal returns to zero and disappears, this is taken as the ending point for timing, and the actual friction time T is obtained; combined with the pre-stored spiral forward linear velocity V=180mm / min, the actual total length of the piston ring is calculated using the formula L=V×T, and compared with the target total length of 300mm to obtain the length deviation.

[0035] Meanwhile, the PLC controller performs real-time detection of piston ring diameter consistency: it collects the amplitude of the friction force signal and the real-time friction coefficient in real time and compares them with the preset normal threshold range of 1-3N; when the friction force exceeds this range, it is determined that the piston ring diameter is inconsistent; at the same time, the PLC controller collects the real-time speed and real-time driving force of the drive servo motor in real time. When the abnormal friction force causes the real-time speed to deviate from the set 120r / min, it is determined that the real-time driving force does not match the actual conveying length of the material, and there is a risk of length error.

[0036] Closed-loop correction and anomaly alarm: Based on the acquired real-time data of length deviation and friction, the PLC controller uses a built-in PID algorithm to perform real-time closed-loop correction of the feeding speed, drive speed, and push speed to compensate for length errors and ensure molding accuracy. When the friction abnormally exceeds the preset correction range, or the length deviation exceeds the allowable tolerance of ±0.5mm, the PLC controller immediately triggers a stop alarm and displays the anomaly type on the human-machine interface 702, facilitating timely handling by operators.

[0037] Processing completed: When the actual total length of the piston ring reaches the target total length of 300mm, the PLC controller controls each execution unit to stop running and controls the external electric push rod to reset, causing the two hinged bottom rods 5 to swing around the hinge point, and the piston ring tilts into the hopper, completing this piston ring rolling process.

[0038] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An intelligent ring winding device for piston ring development and production, characterized in that: The system includes a frame, an execution component, and a built-in closed-loop control module. The closed-loop control module matches the set values ​​of the execution component's operating parameters based on the input target piston ring forming parameters. The execution component is located on the frame and electrically connected to the control system. The execution component includes a feeding input unit and an execution unit located on the frame, as well as two sets of base rods with friction detection hinged to the lower part of the frame and connected to the control system. A triangular support structure is formed between the execution unit and the two sets of base rods to spirally roll the feed material into a piston ring. The two sets of base rods with friction detection collect friction data between the piston ring and the base rods in real time and feed it back to the control system. The control system performs real-time detection of the piston ring forming parameters based on the friction data and performs real-time closed-loop correction of the operating parameters of each unit based on the detection results.

2. The intelligent ring winding equipment for piston ring development and production according to claim 1, characterized in that: The bottom rod surface with friction detection is also provided with a friction force detection unit, which is communicatively connected to the control system and is used to collect the friction force signal between the piston ring and the bottom rod body in real time during the piston ring spiral forward process.

3. The intelligent ring winding equipment for piston ring development and production according to claim 2, characterized in that: The friction force detection unit includes an array of friction force sensors and a signal acquisition module. The friction force sensor is a piezoelectric friction force sensor, which is embedded in the surface of the base rod and flush with the surface. The signal acquisition module is electrically connected to the friction force sensor and converts the acquired analog friction force signal into a digital signal and transmits it to the control system.

4. The intelligent ring winding equipment for piston ring development and production according to claim 3, characterized in that: The control system performs online verification of the actual total length of the piston ring based on the friction force signal. Specifically, when the piston ring head contacts the bottom rod body, the friction force signal first exceeds the trigger threshold, and the control system uses this as the starting point for timing. When the piston ring tail leaves the bottom rod body, the friction force signal returns to zero and disappears, and the control system uses this as the ending point for timing to obtain the actual friction duration. Combining the piston ring pitch and helical advance linear velocity parameters pre-stored in the model, the actual total length of the piston ring is calculated using the formula L=V×T, where L is the actual total length, V is the helical advance linear velocity, and T is the actual friction duration. The actual total length is compared with the target total length for verification to obtain the length deviation.

5. The intelligent ring winding equipment for piston ring development and production according to claim 4, characterized in that: The control system performs real-time detection of piston ring diameter consistency based on the friction force signal. Specifically, the control system collects the amplitude and friction coefficient of the friction force signal in real time and compares them with a preset normal threshold range. When the piston ring diameter is too large, the contact pressure between it and the bottom rod body increases, and the friction force amplitude and friction coefficient increase simultaneously. When the piston ring diameter is too small, the contact pressure between it and the bottom rod body decreases, and the friction force amplitude and friction coefficient decrease simultaneously. When the friction force exceeds the preset threshold range, the control system determines that the piston ring diameter is inconsistent.

6. The intelligent ring winding equipment for piston ring development and production according to claim 1, characterized in that: The execution unit includes an inner ring drive unit, an outer ring drive unit, and an outward push unit; the inner ring drive unit and the outer ring drive unit are symmetrically arranged vertically and located on the upper part of the frame, forming a bending gap between them, and the outward push unit is located on one side between the inner ring drive unit and the bottom rod.

7. The intelligent ring coiling equipment for piston ring development and production according to claim 6, characterized in that: The control system has a built-in closed-loop control module. Based on the input target forming parameters of the piston ring, the closed-loop control module matches and outputs the set values ​​of the operating parameters of the feeding input unit, the inner ring drive unit, the outer ring drive unit, and the push unit.

8. The intelligent ring winding equipment for piston ring development and production according to claim 7, characterized in that: The closed-loop control model is a pre-established multivariate parameter mapping model, which includes obtaining a set of matching parameters for feeding speed, drive speed, and pushing speed under different material materials, wire diameters, target piston ring diameters, pitches, and total lengths through orthogonal experiments. Based on modifying the total length parameter of the target piston ring, the control system adjusts the operating parameters of each execution unit to the corresponding set values ​​in real time.

9. The intelligent ring coiling equipment for piston ring development and production according to claim 8, characterized in that: The control system is also used to collect the real-time driving speed and driving force of the inner ring drive unit and the outer ring drive unit in real time. When the frictional force is abnormal and causes the real-time driving speed to deviate from the driving speed set by the model, it is determined that the real-time driving force does not match the actual conveying length of the material and there is a risk of length error. The parameter closed-loop correction is immediately triggered.

10. The intelligent ring winding equipment for piston ring development and production according to claim 9, characterized in that: The control system includes a PLC controller, a human-machine interface, and a servo drive module. The human-machine interface and the servo drive module are electrically connected to the PLC controller. The servo drive module is electrically connected to the feeding input unit and the execution unit, respectively. The PLC controller has the closed-loop control model and PID correction algorithm built in. The human-machine interface is used to input target processing parameters and preset thresholds, and to display the equipment operating status, quality inspection results, and abnormal alarm information in real time.

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