A Novel Optical Fiber Sensor and Detection Method for Detecting Surface Defects of Steel Balls

Abstract

The invention discloses a novel optical fiber sensor for detecting surface defects of steel balls and a detection method. The sensor mainly comprises a laser light source, a sensor probe comprising an optical fiber bundle, an optical fiber fixing filler and a casing, and a photoelectric converter, wherein the laser light source emits infrared light with 820 nanometer wavelength; the optical fiber bundle comprises 19 optical fibers which comprise 1 emitting optical fiber and 18 receiving optical fibers; the emitting optical fiber and the receiving optical fibers are closely arranged to form a two-dimensional equilateral hexagon array; the axis of the array adopts the emitting optical; the cross orthometric receiving optical fibers are sequentially outward from the axis; the cross orthometric receiving optical fibers comprise 6 optical fibers, and are divided into four ways to perform photovoltaic conversion, and are arranged in a cross orthometric way; two ways of ratio processing receiving receiving optical fiber bundles perform photovoltaic conversion singly. The sensor has the benefits that the optical fiber sensing technology is applied to the detection of surface defects of steel balls, multi-parameter automatic nondestructive detection and real-time processing can be performed, the structure is simple, the volume is small, and the measurement accuracy is high.

Description

technical field [0001] The invention relates to an optical fiber sensor for detecting surface defects of steel balls, in particular capable of realizing the measurement of multiple defect parameters of a sensor, and belongs to the field of precision measurement. Background technique [0002] According to the machinery industry standard "Rolling Bearing Steel Ball Surface Defect Atlas and Evaluation Method", steel ball surface defects are divided into spots, pits, scratches, scratches and pits, etc., including roughness detection, defect number detection and defect size. Measurement, defect size includes defect length size, defect width size and defect depth size, which brings a lot of inconvenience to the detection of steel ball surface defects. At present, most of the sensors used for steel ball surface defect detection can only detect one parameter; the profile is widely used in factories. The method of instrument inspection combined with metallographic microscope manual m...

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Problems solved by technology

[0002] According to the machinery industry standard "Rolling Bearing Steel Ball Surface Defect Atlas and Evaluation Method", steel ball surface defects are divided into spots, pits, scratches, scratches and pits, etc., including roughness detection, defect number detection and defect size. Measurement, defect size includes defect length size, defect width size and defect depth size, which brings a lot of inconvenience to the detection of steel ball surface defects. At present, most of the sensors used for steel ball surface defect detection can only detect one parameter; the profile is widely used in factories. The method of instrument inspection combined with metallographic microscope manual measurement is very inefficient. The traditional method of manual visual inspection of surface defects has a high false detection rate, or the introduction of foreign steel ball surface defect automatic detectors is expensive.

The limitation of detection efficiency and the blockade of foreign core technologies lead to domestic steel ball surface quality testing relying on proportional sampling, which reduces the reliability of steel ball quality. This has become a bottleneck restricting the development of my country's steel ball industry.

[0003] At present, in the field of precision measurement, general sensors serve special instruments or devices for a single measured parameter, and can only realize the measurement of a single parameter. Using reflective optical fiber sensors to detect steel ball surface defects, there are still the following technical problems and Insufficient: (1) The change of the reflectivity of the steel ball surface affects the performance of the optical detection method;

[0004] (2) The influence of the spherical surface of the steel ball brings inconvenience to the installation and positioning of the axis of the sensor probe and the center of the ball;

[0005] (3) Defects on the inclined surface of the tested steel ball affect the test results;

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