A throttling ring wear diagnosis method based on fluid-structure coupling analysis

Abstract

The application provides a flow-solid coupling-based throttle ring wear fault diagnosis method, which comprises the following steps: establishing a flow-solid coupling fault diagnosis model for a recoil device by using AMESim system simulation software; implanting a fault in the flow-solid coupling fault diagnosis model of the recoil device, simulating the influence law of the fault on characteristic index parameters; analyzing the influence law of the fault on the characteristic indexes to obtain fault diagnosis indexes; obtaining diagnosis indexes and index parameter expressions of the recoil device throttle ring wear fault diagnosis based on the influence law of the fault on the characteristic index parameters and the fault diagnosis indexes; then, calculating a pressure pulse index C f ; and substituting the calculated pulse index into a diagnosis index formula reflecting the throttle ring wear of the recoil device to obtain a wear rate.

Description

Technical Field

[0001] This invention relates to fault diagnosis of mechanical equipment, and in particular to a method for diagnosing the wear of control rings based on fluid-structure interaction analysis. Background Technology

[0002] During normal recoil and return motion, the recoil mechanism generates complex fluid-structure interaction and aero-structure interaction impact vibration phenomena. For a long time, users have not conducted much research on the failure mechanism of recoil mechanisms, especially the wear of the critical component—the control ring, and the fault diagnosis methods are overly simplistic, mostly limited to disassembly-based repair and fault diagnosis. Therefore, this invention proposes using AMESim system simulation software to model the recoil mechanism and incorporate faults such as control ring wear into the simulation to study the impact of these faults on the characteristics of the recoil mechanism. Based on this, a fault diagnosis method for control ring wear based on fluid-structure interaction analysis is proposed. This method can promptly obtain important fault information of the control ring, a crucial component of the recoil mechanism, and then take targeted preventive measures to ensure safer and better mission completion. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of existing technologies and solve the problem of low diagnostic rate of control ring wear in anti-seat devices, and to propose a control ring wear fault diagnosis method based on fluid-structure interaction.

[0004] Specifically, the present invention provides a method for diagnosing wear faults in a control ring based on fluid-structure interaction (FSI), comprising: establishing a FSI fault diagnosis model for an anti-recoil device using AMESim system simulation software; parameterizing the FSI fault diagnosis model of the anti-recoil device, setting initial operating parameters, and simulating the variation curves of system performance characteristic parameters under fault-free conditions; implanting a fault into the FSI fault diagnosis model of the anti-recoil device, and simulating the influence of the fault on characteristic index parameters; analyzing the influence of the fault on the characteristic index, and obtaining fault diagnosis indicators; based on the influence of the fault on the characteristic index parameters and the fault diagnosis indicators, obtaining diagnostic indicators and indicator parameter expressions for the wear fault diagnosis of the control ring of the anti-recoil device; installing a pressure sensor at the air pressure chamber interface of the recoil mechanism of the anti-recoil device, collecting the pressure time-domain signal during the equipment test, and then calculating the peak value p of the pressure signal. p and mean Then, the pressure pulse index C is calculated. f Substitute the calculated pulse index into the formula for the diagnostic index reflecting the wear fault diagnosis of the recoil device control ring, and calculate the relative amount of wear on the diameter of the recoil device control ring.

[0005] Preferably, the fluid-structure interaction fault diagnosis model of the anti-recoil device includes: a bore force input model, a recoil mechanism model, a speed control cylinder model, a recoil mechanism model, and a control ring wear model.

[0006] Preferably, the control ring wear model includes a gap adjustment parameter between the retractor control rod and the control ring, used to simulate the control ring wear rate.

[0007] Preferably, the gap adjustment parameter between the recoil control lever and the control ring is set to 0, so as to express the performance characteristic parameter change curve of the recoil device under the fault-free state of the control ring.

[0008] Preferably, the step of implanting the fault involves assigning different values ​​to the gap adjustment parameter between the recoil mechanism control rod and the control ring to represent various types of wear on the recoil mechanism control ring. The assigned value represents the difference between the cross-sectional area of ​​the control ring after wear and the cross-sectional area of ​​the control rod. After the step of implanting the fault, the fluid-structure interaction fault diagnosis model of the recoil mechanism is simulated to obtain characteristic data under the wear fault of the recoil mechanism control ring.

[0009] Preferably, the fault diagnosis indicators include: vibration velocity pulse, margin, and peak value of the anti-recoil device; peak value and pulse value of the pneumatic chamber of the recoil mechanism; and pulse of the hydraulic chamber of the recoil mechanism.

[0010] Preferably, the peak index Ip is:

[0011]

[0012] In a signal sample, the 10 numbers with the largest absolute values ​​are identified, and the arithmetic mean of these 10 numbers is used as the peak value X. p X rms The mean of the vibration waveform is denoted as C; where the impulse index is C. f for:

[0013]

[0014] Among them, the kurtosis index C q The impact characteristics reflected in the vibration signal are expressed as follows:

[0015]

[0016] Preferably, the diagnostic index for the wear fault diagnosis of the recoil device control ring is a cubic polynomial variation of the pressure pulse index of the recoil machine air chamber or a cubic polynomial of the pulse index of the recoil machine hydraulic chamber.

[0017] Preferably, the pulse index C f The calculation formula is:

[0018]

[0019] Preferably, the formula for the diagnostic indicators is:

[0020] -0.0002x 3 +0.001x 2 -0.0008x + 1.581 = C f

[0021] By solving for the unknown quantity x in the diagnostic index formula, the relative amount (%) of wear on the diameter of the recoil device control ring can be obtained. Attached Figure Description

[0022] Various embodiments or examples (“Examples”) of this disclosure are disclosed in the following detailed description and accompanying drawings. The drawings are not necessarily drawn to scale. Generally, unless otherwise specified in the claims, the products or methods disclosed in this invention can be performed in any order. In the drawings:

[0023] Figure 1 A fluid-structure interaction-based simulation model of the anti-recoil device based on AMESim is shown according to the present invention.

[0024] Figure 2 It shows according to Figure 1 The simulation curve of recoil re-precession stroke-time of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown.

[0025] Figure 3 It shows according to Figure 1 The recoil recovery velocity-time simulation curve of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown.

[0026] Figure 4 It shows according to Figure 1 The recoil recovery acceleration-time simulation curve of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown.

[0027] Figure 5 To investigate the characteristic variation law of peak pressure in the recoil mechanism air chamber of the recoiler under the fault dynamics simulation model of the recoil device under the wear failure of the control ring;

[0028] Figure 6 To investigate the variation law of the pressure pulse index characteristics of the recoil mechanism air chamber in the simulation model of the fault dynamics of the recoil device under the wear failure of the control ring.

[0029] Figure 7 To investigate the characteristic variation law of the pressure margin index of the recoil mechanism air chamber in the simulation model of the failure dynamics of the recoil device under the wear failure of the control ring.

[0030] Figure 8 To investigate the characteristic variation law of the peak pressure index of the hydraulic chamber of the recoil mechanism in the fault dynamics simulation model of the recoil device under the wear failure of the control ring;

[0031] Figure 9 To investigate the variation law of pressure kurtosis index of hydraulic chamber of recoil mechanism under the fault dynamics simulation model of recoil device under control ring wear failure;

[0032] Figure 10 To investigate the variation law of pressure pulse index characteristics in the hydraulic chamber of the recoil mechanism under the fault dynamics simulation model of the recoil device under the wear failure of the control ring;

[0033] Figure 11 To investigate the characteristic variation law of the pressure margin index of the hydraulic chamber of the recoil mechanism in the fault dynamics simulation model of the recoil device under the wear failure of the control ring.

[0034] Figure 12 To investigate the variation law of pressure kurtosis index of recoil mechanism air chamber in the simulation model of recoil mechanism failure dynamics under control ring wear failure;

[0035] Figure 13 To investigate the variation law of the pressure pulse index characteristics of the recoil mechanism air chamber in the simulation model of the fault dynamics of the recoil device under the wear failure of the control ring.

[0036] Figure 14 To investigate the characteristic variation law of the pressure margin index of the recoil mechanism air chamber in the simulation model of the failure dynamics of the recoil device under the wear failure of the control ring.

[0037] Figure 15 This is a flowchart of the control ring wear diagnosis method based on fluid-structure interaction analysis according to the present invention. Detailed Implementation

[0038] Before explaining one or more embodiments of this disclosure in detail, it should be understood that the embodiments are not limited to the construction details in their specific applications, and the steps or methods presented in the following embodiments or drawings. The systems and methods of the present invention will now be described in detail with reference to the accompanying drawings.

[0039] A method for diagnosing wear faults in the control ring of an anti-sag device based on fluid-structure interaction, comprising the following specific steps:

[0040] Step 1: Use AMESim system simulation software to establish a fluid-structure interaction fault diagnosis model for the anti-recoil device.

[0041] This invention utilizes AMESim system simulation software to establish a dynamic fluid-structure interaction fault diagnosis model for the anti-recoil device, including the control loop, as shown below. Figure 1 As shown. Figure 1As shown, the dynamic fluid-structure interaction fault diagnosis model of the recoil mechanism includes a bore force input model, a recoil mechanism model, a speed regulator model, a recoil mechanism model, and a control ring wear model. Specifically, in... Figure 1 In the diagram, 1-the resultant force in the gun barrel, i.e., the input excitation parameter of the model; 2-the mass of the recoil mechanism; 3-the impact vibration displacement output; 4-the non-working vacuum chamber of the recoil mechanism; 5-the left-end buffer spring of the recoil mechanism; 6-the piston inside the non-working chamber of the recoil mechanism; 7-the left working hydraulic chamber of the recoil mechanism; 8-the interface between the control ring and the control rod; 9-the piston adjustment gap of the recoil mechanism; 10-the piston inside the working chamber of the recoil mechanism; 11-the right working hydraulic chamber of the recoil mechanism; 12-the left oil chamber of the speed regulating cylinder of the recoil mechanism; 13-the speed regulating cylinder adjustment... 14-Right oil chamber of recoil mechanism speed regulator cylinder; 15-Speed ​​regulator cylinder gap adjustment function; 16-Speed ​​regulator cylinder calibration coefficient; 17-Speed ​​regulator cylinder flow rate adjustment switch; 18-Recoil mechanism working chamber flow rate adjustment switch; 19-Bow force calibration coefficient; 20-Recoil mechanism gas chamber; 21-Recoil mechanism mass; 22-Recoil mechanism liquid chamber; 23-Recoil mechanism working chamber calibration coefficient; 24-Recoil mechanism control rod and control ring gap adjustment parameter (used to simulate control ring wear rate). Figure 1 The arrows in the diagram indicate the working direction of the fluid-structure model.

[0042] Step 2: Parameterize the fluid-structure interaction fault diagnosis model of the anti-recoil device, set initial operating parameters, and simulate the system performance characteristic parameter change curves under fault-free conditions.

[0043] For the fluid-structure interaction fault diagnosis model of the recoil device established in step 1, at parameter 24 of the gap adjustment between the recoil mechanism control rod and the control ring, an adjustment coefficient with a wear rate of 0 is input, along with the excitation coefficient of the bore resultant force input to the model, and other parameters of the recoil device. The performance characteristic parameter variation curves of the recoil device are then simulated and calculated. For example, the performance characteristic parameter variation curves include parameters such as recoil recovery stroke, recoil recovery time, recoil recovery velocity, and recoil recovery acceleration. The calculation results are as follows: Figures 2 to 4 shown. Specifically, Figure 2 It shows according to Figure 1 The simulation curve of recoil re-precession stroke-time of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown. Figure 3 It shows according to Figure 1 The recoil recovery velocity-time simulation curve of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown. Figure 4 It shows according to Figure 1 The recoil recovery acceleration-time simulation curve of the fault dynamics simulation model of the recoil device under the fault-free state of the control loop is shown.

[0044] Step 3: Implant the fault into the fluid-structure interaction fault diagnosis model of the anti-recoil device and simulate the impact of the fault on the characteristic index parameters.

[0045] The implantation failure of this invention is the degree of wear of the control ring, such as... Figure 1 As shown, the clearance adjustment parameter 24 between the recoil mechanism control rod and the control ring represents various wear patterns of the recoil mechanism control ring, specifically the difference between the cross-sectional area of ​​the worn control ring and the cross-sectional area of ​​the control rod. Substituting this parameter value into the AMESim-based fluid-structure interaction fault diagnosis model for the recoil mechanism, and then performing simulation, fault implantation can be completed, and characteristic data under recoil mechanism control ring wear faults can be obtained. The simulation results are as follows: Figures 5 to 14 As shown.

[0046] Step 4: Analyze the impact of faults on characteristic indicators to obtain fault diagnosis indicators.

[0047] according to Figures 5 to 14 The simulation results after the implantation fault show that the wear fault of the control ring directly leads to an increase in the annular area at the leak, thereby reducing the hydraulic resistance of the recoil mechanism. Therefore, the vibration velocity pulse, margin, and peak value of the recoil mechanism; the peak value and pulse value of the pneumatic chamber pressure of the recoil mechanism; and the pulse value of the hydraulic chamber of the recoil mechanism can effectively reflect the changing pattern of the control ring wear fault. The calculation formulas for parameters such as pulse, margin, and peak value are as follows:

[0048] (1) Peak value, peak value index

[0049] Typical peak X p This refers to the maximum value of a single peak in the vibration waveform X. Within the total length of a signal sample, identify the 10 numbers with the largest absolute values, and use the arithmetic mean of these 10 numbers as the peak value X. p X rms This is the mean value of the vibration waveform.

[0050] Peak metrics:

[0051]

[0052] Peak Index I p and impulse index C f These are all statistical indicators used to detect whether there are impulses in a signal. They are dimensionless relative values.

[0053] (2) Pulse index

[0054]

[0055] Pulse index C f and peak index I pThese are all statistical indicators used to detect whether there are impulses in a signal. They are dimensionless relative values.

[0056] (3) Margin Indicators

[0057]

[0058] Margin index C e Used to detect wear on the recoil mechanism. It is a dimensionless relative value.

[0059] (4) Kurtosis index

[0060]

[0061] This index is the fourth-order moment average of the signal; it is a dimensionless relative value.

[0062] Kurtosis index C q Kurtosis index C reflects the impact characteristics in vibration signals. q It is very sensitive to the impact characteristics in the signal, such as impact vibration caused by excessive gap or broken sliding pair surface.

[0063] Step 5: Based on the influence law of faults on characteristic index parameters and fault diagnosis indicators, the diagnostic indicators and index parameter expressions for the wear fault diagnosis of the control ring of the recoil device are obtained.

[0064] Based on the fluid-structure interaction fault diagnosis model and simulation results of the recoil mechanism, the diagnostic index for the wear fault of the recoil mechanism's control ring is a cubic polynomial variation of the pressure pulse index of the recoil mechanism's pneumatic chamber or a cubic polynomial variation of the pulse index of the recoil mechanism's hydraulic chamber. Multiple simulation results show that, using the least squares method, the fitted cubic polynomial variations of the recoil mechanism's pneumatic chamber pressure pulse index and the cubic polynomial variation of the recoil mechanism's hydraulic chamber pulse index have the smallest relative errors compared to the simulation results.

[0065] Step Six: Install a pressure sensor at the air pressure chamber interface of the recoil recovery mechanism in the actual equipment, collect the pressure time-domain signal during the equipment test, perform noise reduction and other preprocessing on the time-domain signal, and then calculate the peak value p of the pressure signal. p and mean Next, substitute the values ​​into formula (5) below to calculate the pressure pulse index C. f :

[0066]

[0067] Step 7: Substitute the pulse index calculated by formula (5) into the formula for the diagnostic index reflecting the wear fault diagnosis of the anti-recoil device control ring:

[0068] -0.0002x 3+0.001x 2 -0.0008x + 1.581 = C f (6)

[0069] Solving the unknown x in equation (6) will yield the relative amount (%) of wear on the diameter of the recoil control ring.

[0070] Based on the above seven steps of the present invention, the problem of effectively diagnosing the wear failure of the control ring, a major component of the anti-recoil device, is solved.

[0071] Although the invention has been described with reference to embodiments shown in the accompanying drawings, equivalent or alternative means may be used without departing from the scope of the claims. The components described and illustrated in this invention are merely examples of systems / apparatus and methods that can be used to implement embodiments of this disclosure, and may be replaced with other devices and components without departing from the scope of the claims.

Claims

1. A method for diagnosing the wear of a control ring based on fluid-structure interaction analysis, comprising: A fluid-structure interaction fault diagnosis model for the anti-recoil device was established using AMESim system simulation software. The fluid-structure interaction fault diagnosis model of the anti-recoil device was parameterized, initial operating parameters were set, and the system performance characteristic parameter change curves under fault-free conditions were simulated. The fluid-structure interaction fault diagnosis model of the anti-recoil device was implanted with faults to simulate the influence of faults on characteristic index parameters. Analyzing the impact of faults on characteristic indicators yields fault diagnosis indicators; these indicators include: vibration velocity pulse, margin, and peak value of the anti-recoil device; peak value and pulse value of the pneumatic chamber pressure of the recoil mechanism; and pulse value of the hydraulic chamber pressure of the recoil mechanism. The peak value indicator Ip is: In a signal sample, the 10 numbers with the largest absolute values ​​are identified, and the arithmetic mean of these 10 numbers is used as the peak value X. p X rms The mean of the vibration waveform is denoted as C; where the impulse index is C. f for: ； Among them, the kurtosis index C q The impact characteristics reflected in the vibration signal are expressed as follows: ； Based on the influence law of faults on characteristic index parameters and fault diagnosis indicators, the diagnostic indicators and index parameter expressions for the wear fault diagnosis of the control ring of the recoil device are obtained. A pressure sensor was installed at the air pressure chamber interface of the recoil mechanism to collect the pressure time-domain signal during the equipment test, and then the peak value p of the pressure signal was calculated. p and mean Then, the pressure pulse index C is calculated. f ; Substituting the calculated pulse index into the formula for the diagnostic index reflecting the wear fault diagnosis of the recoil device control ring, the relative amount of wear on the diameter of the recoil device control ring is calculated.

2. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 1, characterized in that, The fluid-structure interaction fault diagnosis model for the anti-recoil device includes: borehole force input model, recoil mechanism model, speed control cylinder model, recoil mechanism model, and control ring wear model.

3. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 2, characterized in that, The control ring wear model includes the gap adjustment parameter between the retractor control rod and the control ring, which is used to simulate the wear rate of the control ring.

4. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 3, characterized in that, The gap adjustment parameter between the recoil control lever and the control ring of the recoil mechanism is set to 0 to express the performance characteristic parameter change curve of the recoil device under the fault-free state of the control ring.

5. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 1, characterized in that, The step of implanting the fault involves assigning different values ​​to the gap adjustment parameter between the recoil mechanism control rod and the control ring to represent various wear patterns of the recoil mechanism control ring. The assigned value represents the difference between the cross-sectional area of ​​the control ring after wear and the cross-sectional area of ​​the control rod. After the fault implantation step, the fluid-structure interaction fault diagnosis model of the recoil mechanism is simulated to obtain characteristic data under the wear fault of the recoil mechanism control ring.

6. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 1, characterized in that, The diagnostic index for the wear fault diagnosis of the control ring of the recoil device is a cubic polynomial variation of the pressure pulse index of the recoil machine air chamber or a cubic polynomial of the pulse index of the recoil machine hydraulic chamber.

7. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 1, characterized in that, The pulse index C f The calculation formula is: 。 8. The method for diagnosing control ring wear based on fluid-structure interaction analysis as described in claim 1, characterized in that, The formula for the diagnostic indicators is: By solving for the unknown quantity x in the diagnostic index formula, the relative amount of wear on the diameter of the recoil device control ring can be obtained.

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