Multi-gradient magnetic Pasteur noise nondestructive testing method for grinding burn of cylindrical gear

Abstract

The invention belongs to the technical field of mechanical nondestructive testing, and discloses a cylindrical gear grinding burn multi-gradient magnetic Pasteur noise nondestructive testing method which comprises the following steps: acquiring an MBN nondestructive testing original signal of a tested piece through MBN nondestructive testing system preset equipment; the effective magnetic conductivity of the tested piece material is calculated according to the law of electromagnetic induction; processing the MBN nondestructive testing original signal, wherein the MBN original signal carries grinding burn information of the tested piece; the obtained MBN signal is divided into a plurality of detection frequency bands, and one detection frequency band corresponds to one detection gradient, so that a plurality of detection gradients of the MBN signal can be realized. According to the method, the sensitive characteristic values of the MBN nondestructive testing are extracted from a plurality of different signal frequency bands, so that the number of the characteristic values of an original MBN nondestructive testing method can be effectively increased, the accuracy, effectiveness and completeness of the original MBN nondestructive testing method can be improved, the occurrence probability of false detection and missing detection is reduced, and the accuracy and the subtle degree of detection are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of mechanical nondestructive testing, and in particular relates to a multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burns. Background Art

[0002] At present, the quality inspection methods after gear grinding mainly include pickling, metallographic testing, hardness testing and X-ray testing. However, these methods have many shortcomings in practical applications. For example, the pickling method is time-consuming and damages the test piece, and other methods are mostly suitable for laboratory research and are not suitable for batch testing. In recent years, electromagnetic nondestructive testing technology has developed along with the transformation and upgrading of traditional industries, and has played an important role in achieving the high standardization technical requirements of my country's basic equipment manufacturing industry. In order to solve the problem of rapid nondestructive testing of the degree of grinding burn on the working surfaces of various types of gears in the current domestic high-end equipment manufacturing and precision machinery fields, a multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn is proposed to solve the above problem. Summary of the invention

[0003] The object of the present invention is to provide a multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burns to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burns, comprising the following steps:

[0005] S1: Collect the original signal of MBN nondestructive testing of the tested piece through the preset equipment of MBN nondestructive testing system;

[0006] S2: Collect the excitation current and induced voltage through the preset equipment of the system, and calculate the effective magnetic permeability of the material of the tested piece according to the law of electromagnetic induction;

[0007] S3: processing the MBN nondestructive testing original signal, where the MBN original signal carries grinding burn information of the tested piece;

[0008] S4: dividing the obtained MBN signal into a plurality of detection frequency bands, wherein one detection frequency band corresponds to one detection gradient, thereby realizing a plurality of detection gradients of the MBN signal;

[0009] S5: Use the skin effect formula to calculate the detection depth range corresponding to each frequency band;

[0010] S6: extracting the time domain and frequency domain feature values ​​of each gradient MBN signal;

[0011] S7: Through the comprehensive analysis of the multi-gradient MBN signal characteristic values, the MBN multi-gradient nondestructive detection and evaluation of cylindrical gear grinding burns are realized.

[0012] Preferably, the preset device includes a signal acquisition card.

[0013] Preferably, the MBN detection signal is obtained by an MBN detection probe.

[0014] Preferably, in S2, the effective magnetic permeability is the value of the effective magnetic permeability of the material of the test piece under the excitation current and the induced voltage.

[0015] Preferably, the MBN nondestructive testing system presets equipment to collect the MBN nondestructive testing original signal of the tested piece, as well as the excitation current and the induced voltage, and then further includes the steps of:

[0016] Preprocess the original signal of MBN nondestructive testing.

[0017] Preferably, the preprocessing includes at least one of signal filtering, signal amplification, smoothing, and baseline correction.

[0018] Preferably, in S4, the MBN signal is divided into a plurality of detection frequency bands based on the spectrum characteristics of the MBN signal; the division of each detection frequency band is determined comprehensively based on the spectrum characteristics of the MBN signal, the generation and propagation attenuation characteristics of the MBN signal, and the reachable detection depth range of the MBN signal in the material of the test piece.

[0019] Preferably, S3 specifically includes the steps of:

[0020] The MBN nondestructive testing original signal of the MBN sensor is collected by a signal acquisition card, and the collected MBN original signal is filtered by a signal filter to obtain the MBN nondestructive testing signal carrying the information of different grinding burn degrees on the working surface of the tested cylindrical gear.

[0021] Preferably, the S4 specifically comprises the steps of:

[0022] The MBN nondestructive testing signal carrying different grinding burn degree information of the tested cylindrical gear working surface is reasonably divided into multiple frequency bands to form multiple different MBN nondestructive testing frequency bands. One detection frequency band corresponds to one detection gradient, thereby realizing multiple detection gradients of the MBN signal.

[0023] Preferably, the skin effect formula is:

[0024]

[0025] Where Δ represents skin depth, μ represents magnetic permeability, ω represents angular frequency, and σ represents electrical conductivity.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention performs MBN multi-gradient nondestructive testing and evaluation on grinding burns of cylindrical gears, and can extract sensitive characteristic values ​​of nondestructive testing from multiple different MBN signal frequency bands, which can effectively increase the number of characteristic values ​​of the original MBN detection method, improve the accuracy, effectiveness and completeness of the original MBN detection method, reduce the probability of false detection and missed detection, and improve the accuracy and subtlety of detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention; it is obvious that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 As shown, the present invention provides the following technical solutions:

[0031] A multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burns comprises the following steps:

[0032] S1: The full name of magnetic Barkhausen noise is Magnetic Barkhausen Noi se, hereinafter referred to as MBN. The MBN nondestructive testing original signal of the tested piece is collected through the preset equipment of the MBN nondestructive testing system;

[0033] S2: Collect the excitation current and induced voltage through the preset equipment of the system, and calculate the effective magnetic permeability of the material of the tested piece according to the law of electromagnetic induction;

[0034] S3: processing the MBN nondestructive testing original signal, where the MBN original signal carries grinding burn information of the tested piece;

[0035] S4: dividing the obtained MBN signal into a plurality of detection frequency bands, wherein one detection frequency band corresponds to one detection gradient, thereby realizing a plurality of detection gradients of the MBN signal;

[0036] S5: Use the skin effect formula to calculate the detection depth range corresponding to each frequency band;

[0037] S6: extracting the time domain and frequency domain feature values ​​of each gradient MBN signal;

[0038] S7: Through the comprehensive analysis of the multi-gradient MBN signal characteristic values, the MBN multi-gradient nondestructive detection and evaluation of cylindrical gear grinding burns are realized.

[0039] In addition, in the present invention, the preset device includes a signal acquisition card.

[0040] Furthermore, in the present invention, regarding the above-mentioned MBN signal: the MBN detection signal is obtained through an MBN detection probe.

[0041] Regarding the above S2, the effective magnetic permeability is the effective magnetic permeability value of the material of the test piece under the excitation current and induced voltage.

[0042] In addition, in the present invention, the MBN nondestructive testing system presets equipment to collect the MBN nondestructive testing original signal of the tested piece, as well as the excitation current and the induced voltage, and then further includes the steps of:

[0043] Preprocess the original signal of MBN nondestructive testing.

[0044] Furthermore, in the present invention, regarding the above-mentioned preprocessing: the preprocessing includes at least one of signal filtering, signal amplification, smoothing processing, and baseline correction.

[0045] In addition, in the present invention, the MBN signal is divided into multiple detection frequency bands based on the spectrum characteristics of the MBN signal. The division of each detection frequency band is based on the spectrum characteristics of the MBN signal, the generation and propagation attenuation characteristics of the MBN signal, and the reachable detection depth range of the MBN signal in the material of the test piece for comprehensive determination.

[0046] Regarding the above S3: S3 specifically includes the following steps:

[0047] The MBN nondestructive testing original signal of the MBN sensor is collected by a signal acquisition card, and the collected MBN original signal is filtered by a signal filter to obtain the MBN nondestructive testing signal carrying the information of different grinding burn degrees on the working surface of the tested cylindrical gear.

[0048] Regarding the above S4: S4 specifically includes the steps of:

[0049] The MBN nondestructive testing signal carrying different grinding burn degree information of the tested cylindrical gear working surface is reasonably divided into multiple frequency bands to form multiple different MBN nondestructive testing frequency bands. One detection frequency band corresponds to one detection gradient, thereby realizing multiple detection gradients of the MBN signal.

[0050] In addition, in the present invention, regarding the above skin effect formula: the skin effect formula is:

[0051]

[0052] Where Δ represents skin depth, μ represents magnetic permeability, ω represents angular frequency, and σ represents electrical conductivity.

[0053] Embodiment 1

[0054] An MBN nondestructive testing system was built in the laboratory, including a signal generator, a signal acquisition card, an MBN sensor, an excitation circuit (including a one-ohm resistor for current monitoring) and a data processing computer.

[0055] Signal acquisition: A stable sinusoidal excitation current is generated by a signal generator and applied to the excitation end of the MBN sensor through an excitation circuit. At the same time, a signal acquisition card is used to synchronously acquire the voltage across the one-ohm resistor in series in the excitation circuit (i.e., the original excitation current signal) and the induced voltage signal output by the sensor induction coil, as well as the MBN signal of the MBN sensor coil.

[0056] Electromagnetic parameter calculation: According to the law of electromagnetic induction, the effective magnetic permeability of the material under test is calculated through software algorithms using the collected excitation current and induced voltage signals.

[0057] Signal filtering and signal processing: The original signal of the MBN sensor coil collected by the signal acquisition card is reasonably band-pass filtered through a filter to obtain the MBN non-destructive testing signal.

[0058] Frequency band division and detection depth range calculation: The filtered MBN signal is divided into multiple frequency bands according to the frequency characteristics. The detection depth range corresponding to each frequency band is calculated using the skin effect formula in combination with the electrical conductivity and effective magnetic permeability of the material.

[0059] Feature extraction and evaluation: The MBN signal in each frequency band is analyzed in the time domain and frequency domain to extract sensitive characteristic values, such as peak value, RMS value, frequency component, energy distribution, etc., which are used to evaluate different degrees of grinding burn.

[0060] MBN multi-gradient nondestructive testing and evaluation: one detection frequency band corresponds to one detection gradient and one detection depth range. Combined with the detection characteristic values ​​under each detection gradient, a comprehensive nondestructive testing and evaluation report is formed.

[0061] Embodiment 2

[0062] System integration: Integrate the MBN nondestructive testing system into the production line of cylindrical gears to achieve automated online nondestructive testing. The system includes a fast-response signal generator, a high-sensitivity MBN sensor array, and a real-time data acquisition and processing unit.

[0063] Real-time signal acquisition: When the production line is running, the system automatically starts to collect the excitation current and induced voltage signals in real time, as well as the non-destructive testing signals of the MBN sensor in real time.

[0064] Online data processing: Using embedded processors or cloud computing platforms, the collected data is filtered, divided into frequency bands, and depth ranges are calculated in real time to extract key feature values.

[0065] Instant feedback: Based on the test results, feedback signals are sent to the production line control system immediately to mark or remove gears with grinding burns to ensure product quality.

[0066] Remote monitoring and maintenance: Through the remote monitoring platform, you can view detection data in real time, analyze equipment operating status, and achieve remote fault diagnosis and maintenance.

[0067] Embodiment 3

[0068] Customer demand analysis: Conduct customer demand analysis for cylindrical gears of different industries and specifications to determine key indicators such as detection accuracy requirements and detection speed.

[0069] Detection parameter optimization: According to customer needs, adjust the frequency and amplitude of the excitation current, optimize the layout and parameter settings of the MBN sensor to achieve the best detection effect.

[0070] Customized software development: Develop customized data processing software to implement specific frequency band division, feature extraction algorithms and evaluation models to meet customers' special needs.

[0071] On-site commissioning and verification: Carry out equipment commissioning and test verification at the customer's site to ensure stable operation of the system and accurate and reliable test results.

[0072] Training and technical support: Provide customers with system operation training and technical support services to ensure that customers can skillfully use and maintain MBN nondestructive testing systems.

[0073] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burns, characterized by: The steps include: S1: Collect the original signal of MBN nondestructive testing of the tested piece through the preset equipment of MBN nondestructive testing system; S2: Collect the excitation current and induced voltage through the preset equipment of the system, and calculate the effective magnetic permeability of the material of the tested piece according to the law of electromagnetic induction; S3: processing the MBN nondestructive testing original signal, where the MBN original signal carries grinding burn information of the tested piece; S4: dividing the obtained MBN signal into a plurality of detection frequency bands, wherein one detection frequency band corresponds to one detection gradient, thereby realizing a plurality of detection gradients of the MBN signal; S5: Use the skin effect formula to calculate the detection depth range corresponding to each frequency band; S6: extracting the time domain and frequency domain feature values ​​of each gradient MBN signal; S7: Through the comprehensive analysis of the multi-gradient MBN signal characteristic values, the MBN multi-gradient nondestructive detection and evaluation of cylindrical gear grinding burns are realized.

2. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: The preset device includes a signal acquisition card.

3. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 2, characterized in that: The MBN detection signal is obtained through an MBN detection probe.

4. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 3, characterized in that: In S2, the effective magnetic permeability is the value of the effective magnetic permeability of the material of the test piece under the excitation current and the induced voltage.

5. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: The MBN nondestructive testing system presets equipment to collect the MBN nondestructive testing original signal of the tested piece, as well as the excitation current and the induced voltage, and then further includes the steps of: Preprocess the original signal of MBN nondestructive testing.

6. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 5, characterized in that: The preprocessing includes at least one of signal filtering, signal amplification, smoothing, and baseline correction.

7. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: In S4, the MBN signal is divided into multiple detection frequency bands based on the spectrum characteristics of the MBN signal. The division of each detection frequency band is based on the spectrum characteristics of the MBN signal, the generation and propagation attenuation characteristics of the MBN signal, and the reachable detection depth range of the MBN signal in the material of the test piece.

8. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: The S3 specifically includes the steps of: The MBN nondestructive testing original signal of the MBN sensor is collected by a signal acquisition card, and the collected MBN original signal is filtered by a signal filter to obtain the MBN nondestructive testing signal carrying the information of different grinding burn degrees on the working surface of the tested cylindrical gear.

9. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: The S4 specifically comprises the steps of: The MBN nondestructive testing signal carrying different grinding burn degree information of the tested cylindrical gear working surface is reasonably divided into multiple frequency bands to form multiple different MBN nondestructive testing frequency bands. One detection frequency band corresponds to one detection gradient, thereby realizing multiple detection gradients of the MBN signal.

10. The multi-gradient magnetic Babbitt noise nondestructive testing method for cylindrical gear grinding burn according to claim 1, characterized in that: The skin effect formula is: Where Δ represents skin depth, μ represents magnetic permeability, ω represents angular frequency, and σ represents electrical conductivity.

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