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Design table

Physical Properties. The physical properties of cmde tars vary over a wide range. Investigation has been mainly concerned with estabHshing correlations between the more readily deterrnined chemical and physical properties of the distillate oils and residual pitch, and other properties. Based on the correlations, other properties can be predicted with an accuracy sufficient for such purposes as plant design (Table 4). [Pg.341]

Next consider the case that uses randomized blocking to eliminate the effect of some variable whose effect is of no interest, such as the batch-to-batch variation of the catalysts in the chemical reactor example. Suppose there are k treatments and n experiments in each treatment. The results from nk experiments can be arranged as shown in the block design table within each block, the various treatments are applied in a random order. Compute the block average, the treatment average, as well as the grand average as before. [Pg.506]

GAS ABSORPTION AND GAS-LIQUID SYSTEM DESIGN TABLE 14-22 Terminal Velocity of Standard Air Bubbles Rising in Water at 20 C ... [Pg.1442]

The trend in gas plant design has been to maximize train capacity in an effort to take advantage of the economy of size. At the same time, gas plant designers are constrained by the maximum size of processing equipment of proven design. Table 3-4 shows the trend in gas plant train sizes in the last three decades. [Pg.69]

Modeling of Chemioal Kinetios and Reaotor Design Table 3-6 ... [Pg.178]

Modeling of Chemioal Kinetios and Reaotor Design Table 6-1 The reactor outlet concentration and temperature of a CFSTR with constant heat input ... [Pg.452]

Typical Reactor Design. Table 5.1 lists typical CVD production reactors which include cold-wall and hot-wall reactors operating at low or atmospheric pressures. The decision to use a given system should be made after giving due consideration to all the factors of cost, efficiency, production rate, ease of operation, and quality. [Pg.123]

Typical manufacturer s values of Cv to be used with Eq. (10-29) require the variables to be expressed in the above units, with hv in ft. [For liquids, the value of 0.658 includes the value of the density of water, pw = 62.3 lbm/ft3, the ratio g/gc (which has a magnitude of 1), and 144 (in./ft)2]. For each valve design, tables for the values of the flow coefficients as a function of valve size and percent of valve opening are provided by the manufacturer (see Table 10-3, pages 318-319). In Table 10-3, Km applies to cavitating and flashing liquids and C applies to critical (choked) compressible flow, as discussed later. [Pg.316]

Eight Certified Reference Materials (CRMs) (Table 1) were analyzed, in triplicate random order, for 53 elements by five digestion protocols (Table 2) as shown in the experimental design (Table 3). All final determinations were by ICP-AES and -MS in a single batch using a randomized ordering of the prepared digestions. [Pg.177]

Epidemiological studies have different strengths and weaknesses associated with their design (Table 4) shows some of the strengths and weaknesses of the two main methods of prospective cohort studies and retrospective case-control studies. [Pg.238]

CHOI BASIC IDEAS IN CLINICAL TRIAL DESIGN Table 1.3 Surrogate variable and clinical endpoints... [Pg.22]

Fig. 3—Release profiles from the factorial design. Table 9—Complete linear models... Fig. 3—Release profiles from the factorial design. Table 9—Complete linear models...
After a careful look at the power consumption histogram and discussion with both the production facilities and drilling personnel of the operating company, a new configuration was designed (Table 3—Optimization). [Pg.26]

TABLE 4 Influence of DOC0, Ti02 Concentration, and Temperature on the Photocatalyzed Oxidative Degradation of Waste Water Pollutants in a Pilot Reactor Coefficients (Main Effects and Interactions) Calculated from the Experimental Results of a 23 Factorial Design (Table 3)... [Pg.300]

Figure 32. Three-dimensional representation of the variation of the degradation rate (Y) as a function of DOC0 and TiOz concentration (temperature 50°C), obtained from the results of a 23 factorial design (Table 3) [12]. Figure 32. Three-dimensional representation of the variation of the degradation rate (Y) as a function of DOC0 and TiOz concentration (temperature 50°C), obtained from the results of a 23 factorial design (Table 3) [12].
The adequacy test and the assignment of confidence intervals using a D-optimal design (Table 3.38) are accomplished along the same lines, as in the simplex-lattice method. The variation of with composition, are given in the reference literature [12], In constructing the fourth-order polynomial for the ternary system, the design will be D-optimal at ... [Pg.522]

A shelf or tail suspension apparatus to suspend mice. The apparatuses may be wooden or plastic boxes (e.g., 680 X 365 x 280 mm), painted to contrast with mice. The design of the TST apparatus is usually negotiable, given that the animal is securely attached to a solid suspension apparatus and that this apparatus is at least 35 cm above the nearest surface (18, 19). Several companies provide behavioral tracking software that is flexible with the variations in experimental design and would yield reliable data that would translate between designs (Table 16.1). Additionally, there are also prefabricated apparatuses that can be purchased (see Table 16.2 for details). [Pg.270]

A comparison of this design with the moderate reaction design (Table 6.8) shows that the larger specific reaction rate produces a smaller reactor with less recycle, less heat transfer area, and lower TAC. [Pg.311]

FEHE Model There are no phase changes or small pinch temperatures in the heat exchanger. Therefore a 10-lump model is used for this unit. The steady-state exit temperatures predicted by the lumped model are close to those calculated by the rigorous countercurrent model used in the steady-state design. Table 7.2 compares the steady-state conditions for the process obtained from the dynamic model with those obtained in the steady-state design. [Pg.381]

In the second optimization step, the exact values of the three variables that were identified to have significant effects on nisin and/or lactic acid production were determined using a central composite design (Table 2). The coded and actual values of each variable are given in Table 3. The fermentation media (pH 6.5) were composed of 50 g/L of whey, 5 g/L of polypeptone, 1 g/L of Tween-80, and 30 g/L of CaC03, and the predetermined amount of the three variables was assigned by the central composite design. The content of nisin and lactic acid after 24 h of fermentation at 30°C was measured and are presented as responses in Table 2. [Pg.633]


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