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CN-121978202-A - Method and system for detecting surface defects of precise alloy strip for aviation

CN121978202ACN 121978202 ACN121978202 ACN 121978202ACN-121978202-A

Abstract

The invention relates to the technical field of nondestructive testing, in particular to a method and a system for detecting surface defects of an aviation precise alloy strip. The method comprises the steps of obtaining detection environment data, working condition data and defect feedback data, determining magnetic field influence intensity, determining high-temperature trend factors, determining eddy current error interference factors of all detection points, determining the position goodness of the strip material of all detection points, determining the surface defect saliency of all detection points, calculating short-term saliency fluctuation standard deviation, calculating the material precision superiority of all detection points at the target monitoring moment, calculating alloy detection abnormal indexes of all detection points at the target monitoring moment, and calculating the strip material defect representing degree of the defect saliency of all detection points according to the alloy detection abnormal indexes and the historical point indexes. The invention can improve the accuracy and reliability of the surface defects of the precise alloy strip for aviation.

Inventors

  • BAI YUNCHAO

Assignees

  • 陕西航空精密合金有限公司

Dates

Publication Date
20260505
Application Date
20260407

Claims (10)

  1. 1. The method for detecting the surface defects of the precise alloy strip for aviation is characterized by comprising the following steps of: Acquiring detection environment data, working condition data and defect feedback data of the precise alloy strip for aviation in the eddy current flaw detection process; Aiming at any target monitoring moment, determining the magnetic field influence intensity according to the comparison of the environmental magnetic field intensity in the detection environment data and the historical magnetic field intensity data, and determining a high-temperature trend factor according to the temperature of the electrified coil in the working condition data and the short-term fluctuation condition of the electrified coil; combining the magnetic field influence intensity and the high-temperature trend factor to determine eddy current error interference factors of all detection points; comparing the strip vibration intensity of the current precise alloy strip for aviation with a preset reference vibration intensity, and determining the strip detection position goodness of each detection point according to the comparison result and the eddy current error interference factor; comparing the defect action voltage and the eddy current phase in the defect feedback data with corresponding historical data respectively, and determining the surface defect significance of each detection point; Calculating short-term significance fluctuation standard deviation based on the surface defect significance of each monitoring moment in a preset monitoring time period, and calculating the material precision and excellent degree of each detection point according to the short-term significance fluctuation standard deviation and the surface defect significance of the target monitoring moment; Calculating an alloy detection abnormal index of each detection point based on the material precision degree and the strip detection position degree at the target monitoring moment; And calculating the strip defect presentation degree representing the defect significance degree of each detection point according to the alloy detection abnormal index and the history point index.
  2. 2. The method for detecting surface defects of an aerospace precision alloy strip according to claim 1, wherein the determining the magnetic field influence strength according to the comparison of the environmental magnetic field strength in the detected environmental data and the historical magnetic field strength data comprises: For any detection point, acquiring the intensity of an environmental magnetic field of the detection point at the target detection moment; Acquiring a historical environment magnetic field intensity mean value when performing defect detection on a historical strip material with the same material as the aviation precision alloy strip material; calculating the difference value of the average value of the environmental magnetic field intensity and the historical environmental magnetic field intensity, and carrying out normalization processing to obtain the magnetic field influence intensity of the detection point at the target detection moment.
  3. 3. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the determining a high-temperature trend factor according to the temperature of an energizing coil and short-term fluctuation thereof in working condition data comprises: Aiming at any detection point, acquiring the temperature of an electrified coil of the detection point at the target detection moment; acquiring the fluctuation standard deviation of the temperature of the electrified coil of the detection point in a preset time period; And determining the product of the temperature of the electrified coil and the fluctuation standard deviation as a high-temperature trend factor of the detection point at the target detection moment.
  4. 4. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the method for determining eddy current error interference factors of each detection point by combining magnetic field influence intensity and high temperature trend factors comprises the following steps: aiming at any detection point, acquiring the magnetic field influence intensity and the high-temperature trend factor of the detection point at the target detection moment; And calculating the product of the magnetic field influence intensity and the high-temperature trend factor, and carrying out normalization processing to obtain the eddy current error interference factor of the detection point at the target detection moment.
  5. 5. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the comparing the strip vibration intensity of the current aviation precision alloy strip with a preset reference vibration intensity, and determining the strip detection position goodness of each detection point according to the comparison result and the eddy current error interference factor, specifically comprises: Aiming at any detection point, obtaining the vibration intensity and the eddy current error interference factor of the strip at the target detection moment of the detection point; Obtaining preset reference vibration intensity, wherein the preset reference vibration intensity is determined according to the minimum value of the vibration intensity during detecting the defects of the strips made of the same material in the history; and calculating the difference value between the vibration intensity of the strip and the preset reference vibration intensity, and calculating the product of the inverse of the difference value and the inverse of the eddy current error interference factor to obtain the strip detection position goodness of the detection point at the target detection moment.
  6. 6. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the comparing the defect action voltage and the eddy current phase in the defect feedback data with corresponding historical data respectively, and determining the significance of the surface defects of each detection point specifically comprises: aiming at any detection point, obtaining defect action voltage and eddy current phase of the detection point at the target detection moment; Acquiring a historical defect action voltage mean value and a historical vortex phase minimum value when detecting defects of the strips made of the same material; calculating the difference value between the defect action voltage and the average value of the historical defect action voltage, and carrying out normalization processing to obtain the strong defect voltage reflection degree of the detection point at the target detection moment; and calculating the difference value between the vortex phase and the minimum value of the historical vortex phase, calculating the negative exponent of the difference value based on a natural constant, and determining the product of the negative exponent and the strong defect voltage reflection degree as the surface defect significance of the detection point at the target detection moment.
  7. 7. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the calculating short-term saliency fluctuation standard deviation based on the surface defect saliency of each monitoring time in a preset monitoring time period, and calculating the material precision and excellence of each detection point at the target monitoring time according to the short-term saliency fluctuation standard deviation and the surface defect saliency of the target monitoring time specifically comprises: Aiming at any detection point, obtaining the surface defect significance of the detection point at each monitoring moment in a preset monitoring time period; According to the surface defect significance at each monitoring time in a preset monitoring time period, calculating the fluctuation standard deviation of the surface defect significance as the short-term significance fluctuation standard deviation of the detection point; Obtaining the surface defect significance of the detection point at the target detection moment, and obtaining the short-term significance fluctuation standard deviation of the detection point; And calculating the product of the reciprocal of the short-term significance fluctuation standard deviation and the reciprocal of the surface defect significance, and carrying out normalization processing to obtain the material precision and the excellence of the detection point at the target detection moment.
  8. 8. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the calculating of the alloy detection abnormality index for each detection point at the target monitoring time based on the material precision and the strip detection position precision at the target monitoring time comprises: For any detection point, acquiring the precision and excellent degree of the material of the detection point at the target detection moment and the position and excellent degree of the strip detection; and calculating the product of the reciprocal of the precision and the goodness of the material and the reciprocal of the position and goodness of the strip detection, and carrying out normalization treatment to obtain the alloy detection abnormal index of the detection point at the target detection moment.
  9. 9. The method for detecting surface defects of an aviation precision alloy strip according to claim 1, wherein the calculating the strip defect representing degree of defect significance of each detection point according to the alloy detection abnormality index and the history point index comprises the following steps: for any detection point, acquiring an alloy detection abnormal index of the detection point at the target detection moment; Acquiring average values of alloy detection abnormal indexes of all detection points of the history; and calculating a difference value between the alloy detection abnormal index and the average value of the alloy detection abnormal index, and determining the absolute value of the difference value as the strip defect presentation degree representing the defect significance degree of the detection point.
  10. 10. A precision alloy strip surface defect detection system for aviation comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the steps of a precision alloy strip surface defect detection method for aviation as claimed in any one of claims 1 to 9.

Description

Method and system for detecting surface defects of precise alloy strip for aviation Technical Field The invention relates to the technical field of nondestructive testing, in particular to a method and a system for detecting surface defects of an aviation precise alloy strip. Background Aerospace equipment, such as aircraft fuselages, engine blades, rocket bodies, satellite structures, and the like, have extremely high requirements on the strength and structural integrity of the material. Surface defects such as cracks are extremely prone to causing catastrophic failures such as engine explosions or fuselage disintegration under severe conditions such as high pressure, repeated loads and the like. Therefore, the surface defect detection of the precise alloy strip for aviation is an important means for improving the application safety of the precise alloy strip. At present, eddy current flaw detection technology is often adopted to detect defects such as surface cracks and the like of an aviation precision alloy strip. Eddy current flaw detection is a nondestructive detection method based on an electromagnetic induction principle, and the core principle is that eddy currents are induced on the surface of a strip through an alternating magnetic field, and the defects are identified through analysis of the change of the eddy currents. Specifically, when a detection coil carrying an alternating current approaches the surface of the strip, an alternating magnetic field generated by the coil induces eddy currents in the surface layer of the strip. If the surface of the strip has defects such as cracks, the normal distribution of the eddy current is destroyed, and the induced magnetic field generated by the eddy current is further influenced. The induced magnetic field interacts with the original magnetic field of the coil, which causes a change in the impedance of the coil, manifesting as an increase in the applied voltage. Conventional methods typically evaluate the severity of the defect directly from the magnitude of the applied voltage. However, in the actual detection environment, external interference factors such as a strong magnetic field exist, and these factors affect the stability of the vortex field, thereby reducing the accuracy of defect estimation. In addition, the traditional method cannot fully utilize detailed feedback information in the defect detection process, such as the influence of defects on the magnetic field induction time sequence stability, so that the accuracy of detecting the defects on the surface of the precise alloy strip for aviation is further restricted. Disclosure of Invention The invention provides a method and a system for detecting surface defects of an aviation precise alloy strip, which are used for solving the existing problems. The invention relates to a method for detecting surface defects of an aviation precise alloy strip, which adopts the following technical scheme: the embodiment of the invention provides a method for detecting surface defects of an aviation precision alloy strip, which comprises the following steps: Acquiring detection environment data, working condition data and defect feedback data of the precise alloy strip for aviation in the eddy current flaw detection process; Aiming at any target monitoring moment, determining the magnetic field influence intensity according to the comparison of the environmental magnetic field intensity in the detection environment data and the historical magnetic field intensity data, and determining a high-temperature trend factor according to the temperature of the electrified coil in the working condition data and the short-term fluctuation condition of the electrified coil; combining the magnetic field influence intensity and the high-temperature trend factor to determine eddy current error interference factors of all detection points; comparing the strip vibration intensity of the current precise alloy strip for aviation with a preset reference vibration intensity, and determining the strip detection position goodness of each detection point according to the comparison result and the eddy current error interference factor; comparing the defect action voltage and the eddy current phase in the defect feedback data with corresponding historical data respectively, and determining the surface defect significance of each detection point; Calculating short-term significance fluctuation standard deviation based on the surface defect significance of each monitoring moment in a preset monitoring time period, and calculating the material precision and excellent degree of each detection point according to the short-term significance fluctuation standard deviation and the surface defect significance of the target monitoring moment; Calculating an alloy detection abnormal index of each detection point based on the material precision degree and the strip detection position degree at the target monitoring moment; And calculating th