研究目的
To study the possibility of obtaining a product in the form of a sleeve or a ring with a filter element sealed to it, suitable for use at high temperatures in aggressive media.
研究成果
A method for producing high-temperature filters up to 1350°C for aggressive media was developed, successfully silicizing carbon fibers to form silicon carbide filters attached to sleeves or rings. These products are suitable for filtering motor fuel and other applications, though porosity control is inherent to the fabric used.
研究不足
The method does not allow smooth adjustment of porosity parameters, as they are fixed by the initial fabric weaving. The use temperature is limited to 1350°C due to material constraints of siliconized graphite. The process may not ensure reliable attachment in all cases, as seen with some materials separating.
1：Experimental Design and Method Selection:
The study involves developing a method for producing silicon carbide-based filters by silicizing carbon fibers in a silicon melt, with theoretical modeling of the silicization kinetics using diffusion equations.
2：Sample Selection and Data Sources:
Carbon-graphite fabrics (e.g., SCT-A, TMP-5, Ural) and siliconized graphite sleeves or rings are used as materials. Data on silicization kinetics are derived from microphotographs and experimental measurements.
3：List of Experimental Equipment and Materials:
Carbon fibers, silicon melt, vacuum furnace heater, polyvinyl acetate adhesive, siliconized graphite (e.g., SG-M), and carbon foils.
4：Experimental Procedures and Operational Workflow:
Attach carbon fabric layers to siliconized graphite sleeves or rings using polyvinyl acetate, apply crushed silicon, heat in a vacuum furnace above silicon's melting point to silicize the carbon fibers, and mechanically remove excess silicon or carbon foil.
5：Data Analysis Methods:
Analyze microphotographs to measure SiC layer thickness and lumen area, use graphical methods (e.g., histogram in Photoshop 6.0) for porosity analysis, and compare experimental results with theoretical models.
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