应用数据挖掘研究活性碳纤维吸附和解吸性能

Study of absorptive and desorptive performance of activated carbon fiber with data mining technique

活性炭纤维可以广泛应用于有机废气的处理,废气中吸附质在活性炭纤维中的吸附和解吸性能严重影响处理效果。将数据挖掘技术应用于醋酸丁酯在活性炭纤维中吸附和解吸性能的研究中,采用多维关联规则对醋酸丁酯在活性炭纤维中的解吸温度、解吸次数、吸附比率和解吸比率的关系进行研究,结果表明随着解吸温度的升高,活性炭纤维对醋酸丁酯的吸附率和解吸率均升高,随着解吸次数的增加,活性炭纤维对醋酸丁酯的吸附比率、解吸比率均降低。

Active carbon fiber can be used to treat organic gas. The disposal effect is influenced by the performance of adsorption and desorption of absorb matter existing in gas in the active carbon fiber. The text applies the technology of date mining on the performance of adsorption and desorption which butyl acetate is in the active carbon fiber. They are studied by many dimensions association rule that the relation between temperature of desorption, the times of desorption and the rate of adsorption and desoption which butyl acetate is in the active carbon. The result proves that the rate of adsorption and desoption which active carbon fiber as to buty lacetate rises along with rising the temperature of desoption, however, the rate of adsorption and desoption which active carbon fiber as to butyl acetate reduces along with increasing the times of desoption.