研究目的
To develop a refined mathematical model for contactless fiber-optic displacement sensors based on the magneto-optical Faraday effect to accurately monitor the displacement and tilt angle of valve plates in hazardous environments, addressing the high discrepancies in existing models.
研究成果
The developed refined mathematical model significantly reduces the modeling error to within 7.2%, enabling accurate monitoring of valve plate positions. This advancement supports the development of efficient error compensation methods and has applications in oil, gas, and other industries for safety-critical valve monitoring.
研究不足
The models may have limitations in accounting for all real-world variations, such as extreme environmental conditions beyond the tested temperature range or complex magnetic field interactions. Optimization could involve further experimental validation and refinement of temperature dependencies.
1：Experimental Design and Method Selection:
The study involved developing mathematical models to simulate the magneto-optical channel of fiber-optic sensors, incorporating non-uniform distributions of magnetic field strength and optical radiation intensity, optical absorption, and temperature dependencies. Theoretical models included equations for magnetic field distribution and optical signal output.
2：Sample Selection and Data Sources:
Prototypes of FOSF were used, with optical elements such as MOE made from iron-yttrium garnet crystals. Data were derived from simulations and experimental studies on these prototypes.
3：List of Experimental Equipment and Materials:
Equipment included laser diodes (e.g., LasersCom LDI-650-FP-10), magneto-optical elements (MOE), polarizers, analyzers, photodiodes, and magnetic circuit components. Materials involved epitaxial films of iron garnet and other optical components.
4：Experimental Procedures and Operational Workflow:
The process involved setting up FOSF prototypes, applying optical radiation from laser diodes, measuring output signals with photodiodes, and comparing simulation results with experimental data. Magnetic field distributions were calculated using differential equations.
5：Data Analysis Methods:
Data were analyzed by comparing simulation outputs from refined models with experimental results, using integral estimations to quantify discrepancies. Statistical methods were implied to ensure accuracy, with errors calculated as percentages.
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