Interplant spacings

Consider a parallel-plate electrostatic precipitator across which a 10 kV potential is applied. The interplate spacing is 1 cm. The particle density is 2,000 kg/m3. The total surface area is 10 m2, and the flow rate is 0.5 m3/s. Use the test results provided in Table P7.2 to estimate... 

The situation illustrated in Figure 4. la has by now become familiar. It depicts a gel composed of a parallel stack of plate macroions with a well-defined interplate spacing (in the colloidal range 10 to 100 nm) in equilibrium with a supernatant fluid. Let us think of the boundary of the gel as an effective membrane enclosing the macroions, transforming the picture into Figure 4.1b. This chapter is concerned with the calculation of the distribution of salt between the gel (I) and supernatant fluid (II) in the two-phase region of colloid stability. 

Pool fires tend to be localized in effect and are mainly of concern in establishing the potential for domino eflfects and employee safety zones, rather than for community risk. The primary effects of such fires are due to thermal radiation from the flame source. Issues of intertank and interplant spacing, thermal insulation, fire wall specification, etc., can be addressed on the basis of specific consequence analyses for a range of possible pool fire scenarios. 

MATLAB has several functions for interpolation. The function = interpl(x, y, x) takes the values of the independent variable x and the dependent variable y (base points) and does the one-dimensional interpolation based on x, to find yj. The default method of interpolation is linear. However, the user can choose the method of interpolation in the fourth input argument from nearest (nearest neighbor interpolation), linear (linear interpolation), spline (cubic spline interpolation), and cubic (cubic inteipolation). If the vector of independent variable is not equally spaced, the function interplq may be used instead. It is faster than interpl because it does not check the input arguments. MATLAB also has the function sp/ine to perform one-dimensional interpolation by cubic. splines, using nat-a- not method, ft can also return coefficients of piecewise poiynomiais, if required. The functions interp2, inte.rp3, and interpn perform two-, three-, and n-dimensional interpolation, respectively. 

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