Application Of Data Mining In The Preparation Of The Ceramic Coating

In this paper, the author prepared the ceramic coating on the Q235 by thermo-chemical reaction method on the basis of the foundation carries of the predecessor. The X-ray diffraction, scanning electron microscopy and mechanics analysis methods were performed to analyze, Using small sample data mining techniques to optimize the formulation of the ceramic coating the organization structure, the thermal shock resistance, the corrosion resistance and so on.The investigated results indicated that through the small sample data mining optimization plan, the performance of ceramic coating covered on the Q235 matrix by thermo-chemical reaction method were obtained a very big promotion. The small sample data mining proved that, the best solution was that the Al₂O₃ content is 80% in the aggregate; the ratio between aluminum phosphate caking agent and the firming agent is 5:1, and the ratio between aggregate and the caking agent is 1.25:1. Through the thermo-chemical reaction method, it gained nice properties based on aluminum oxidation in pre-spraying Ni-Al coating of Q235. Its X-ray diffraction analysis results indicated that ceramic coating after 600℃solidification produced several new phases which strengthened binding force between the coating and the matrix. The result of scanning electron microscope indicated that the ceramic coating is quite even compactly and the coating has network structure. Besides, there is not obvious boundary between them and the bonding force is perfect. The result of coating performance test manifested that the ceramic coating has highly enhanced the corrosion resistance and wear resistance of Q235 steel.