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纳米磁性流体密封承压能力的回归分析
引用本文:王金刚,田美娥.纳米磁性流体密封承压能力的回归分析[J].西北轻工业学院学报,2006,24(3):69-73.
作者姓名:王金刚  田美娥
作者单位:西安石油大学机械工程学院,陕西西安710065
摘    要:纳米磁性流体密封的应用中最关键的问题是密封能力的确定,其影响因素很多,如纳米磁性流体本身的性质、磁板结构、负载运行过程等,其中磁板结构的设计对密封能力有着决定性的影响。作者从磁板结构的分析出发,通过回归计算研究了典型磁板结构的参数对密封能力的影响规律,得出了回归公式,并进行了密封实验。实验研究表明,所得回归经验公式能较真实的反映密封性能,在考虑一定裕度的情况下,可以用公式指导纳米磁性流体密封装置的设计。

关 键 词:纳米磁性流体密封  磁极结构  回归分析
文章编号:1000-5811(2006)03-0069-05
收稿时间:2006-03-07
修稿时间:2006-03-07

REGRESSIVE ANALYSIS AND COMPUTATION FOR THE PRESSURE CAPABILITY OF NANOFERROFLUID SEALING
WANG Jin-gang,TIAN Mei-e.REGRESSIVE ANALYSIS AND COMPUTATION FOR THE PRESSURE CAPABILITY OF NANOFERROFLUID SEALING[J].Journal of Northwest University of Light Industry,2006,24(3):69-73.
Authors:WANG Jin-gang  TIAN Mei-e
Abstract:The main problem in the application of nanoferrofluid sealing is how to find a way to estimate the sealing capacity. Many factors will contribute to the calculating result ineorrect, for example, the characteristics of Nanoferrofluid, the structure of magnetic pole, the process of load function, and etc. , in which the contracture design of magnetic pole is the most important factor for the seal capability of the magnetic field. This article is focus on arranging or conducting experiment through the method of quadratic regression with 5 factors straightly alternate composition, set each factor and corresponding parameter, to work out the regressive coefficient. Using the regressive computation method carried out series of experiments, the effect rule is obtained, which reflects the influence to seating capacity with the function of special magnetic pole structure parameter. According to the rule, the regressive equation can be deduced. Experiment research shows the calculation method from this obtained empirical regressive equation correctly reflect the sealing capacity, and on condition of a quantitative sealing Margins have been gained, both formulas can be took as the guidance in the process of designing Nanoferrofluid sealing device.
Keywords:nanoferrofluid sealing  structure of magnetic pole  regressive analysis
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