无因次数

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  • dimensionless number
无因次数无因次数
  1. 这个无因次数,很清楚,我将举几个例子。

    And so this dimensionless number is very transparent , and we will show you some examples .

  2. 无因次数群法计算孔板计流量

    Calculation of Orifice metre Flow Rate Using Dimensionless Number Group Method

  3. 通过物理实验,分析了无因次数F与植被阻力系数及植被糙率系数间的关系。

    In physical experiment , the correlation between F and vegetation drag coefficient , as well as vegetation roughness , were analyzed .

  4. 针对冷凝段的换热特点,参照Nusselt理论建立流动模型,分析得到冷凝换热系数的无因次数关联式,得到初步理论解。

    The model has provided an effective method for analysis of the problem . Secondly , based on Nusselt 's theory and the characteristics of the heat transfer in the condensation section , the analysis was conducted and the fundamental theoretical solution was established .

  5. 无因次数的物体意义一般不能清楚地用公式表达。

    The physical meaning of dimensionless numbers cannot usually be formulated clearly .

  6. 试验结果应整理成以相似准数和其他无因次数来表示的函数关系式或绘成曲线。

    Experiment results should be induced to functional relations expressed by similar principle numbers and other zero dimension numbers or drawing curves .

  7. 利用线性代数中有关线性方程组的一些基本概念和定理,对因次分析法中确定无因次数群数目的∏定理,给予了证明,并给出相应的构造无因次数群的计算程序。

    A rigorous proof Buckingham 's Pi theorem and a general procedure to form the dimensionless groups are presented based on linear algebra .

  8. 通过对该模型的无因次分析,找到了影响固体循环速率的无因次数群,并由实验数据回归拟合得到了固体循环速率的定量关联式,它与实验结果符合较好,误差为±29%。

    By non-dimensional analysis of the model , a series of non-dimensional parameters are deduced . The solid circulation rate is obtained by regressing experimental data , which can predict the solid circulation rate within deviation of + 29 % .