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Panels design parameters

Figure 9.5 Drug release from a cylindrical-reservoir drug delivery system. The cumulative mass of drug released is plotted versus time for cylindrical-reservoir devices with a range of physical characteristics, which are determined principally by the diffusion coefficient for the drug in the polymer and the membrane thickness. In all cases, the overall length of the device, L, and the cross-sectional radius, b, were fixed at 2.7 and 0.5 cm, respectively. In each panel, one of the relevant design parameters was varied (a) hja was varied between 1.2 and 4 with Dj.p = 1x10" and Cl = 20mg/mL (b) Dj.p was varied (for curve A, Dj.p = 5 x 10 cm /s ... Figure 9.5 Drug release from a cylindrical-reservoir drug delivery system. The cumulative mass of drug released is plotted versus time for cylindrical-reservoir devices with a range of physical characteristics, which are determined principally by the diffusion coefficient for the drug in the polymer and the membrane thickness. In all cases, the overall length of the device, L, and the cross-sectional radius, b, were fixed at 2.7 and 0.5 cm, respectively. In each panel, one of the relevant design parameters was varied (a) hja was varied between 1.2 and 4 with Dj.p = 1x10" and Cl = 20mg/mL (b) Dj.p was varied (for curve A, Dj.p = 5 x 10 cm /s ...
A control room configuration was established (see CESSAR-DC Section 18.6) based on accepted HFE principles and on analysis of staffing requirements. Environmental and communications criteria for the ACC were also developed at this time. Standard panel design criteria and algorithms for alarm and parameter validation processing were then developed. [Pg.313]

An essential part of the crihcality safety analysis is to ensme that the computer code accurately predicts the effective multiplication factor. Therefore, the computer code is benchmarked against experimental data, using critical experiments that encompass the pertinent design parameters of the canister basket. The most important parameters are (1) the enrichment, (2) the geometrical spacing between fuel assemblies, (3) the boron loading of the fixed neutron absorbing panels, and (4) the soluble boron concentration in the water. [Pg.383]

The first questions to be considered when designing a control panel are what information is required and how much of it will be appropriate. Too little information may increase the amount of inference that the worker is required to make to predict the state of process parameters that are not directly displayed. This is especially important for emergency situations where the human information processing system is taxed heavily with many tasks. On the other hand, too much redimdant information can overload the worker. It is essential, therefore, that the information needs of the worker are identified through some form of task analysis and worker interviews. [Pg.120]

Accelerated exposure equipment may also be used to test for weatherfastness in plastic materials [106], The natural destructive agents inherent in weather are approximated by filtering the radiation emitted by the xenon arc lamp and by spraying the sample with water under standardized conditions [106], Test programs are designed to relate to actual outdoor exposure to rain and humidity. In a standard program, a 3 minute wet cycle typically alternates with a 17 minute dry period. Weatherfastness tests are carried out and evaluated like lightfastness tests the black panel temperature and other parameters are the same in both procedures. [Pg.90]

Cone penetrometry has the advantages of being simple and economical to use. Also, its results correlate well with testing by sensory panels (Dixon, 1974 Rousseau and Marangoni, 1999). In addition, standardized tests and commercial standards of design are available. The most widely used method is that of the American Oil Chemists Society (AOCS) (Cc 16-60) (AOCS, 1960). According to this method, the depth (d) (in increments of 0.1 mm) to which the cone penetrates the sample is read (AOCS, 1989). This depth is an indicator of consistency and can be related to some structural parameter of the material. Penetrometry results, for example, are often translated into spreadability or hardness values. For example, spreadability (S), as... [Pg.255]

Most mechanical tests developed for fats are empirical in nature and are usually designed for quality control purposes, and they attempt to simulate consumer sensory perception (3, 4). These large-deformation tests measure hardness-related parameters, which are then compared with textural attributes evaluated by a sensory panel (3, 5). These tests include penetrometry using cone, pin, cylinder and several other geometries (3, 6-12), compression (13), extrusion (13, 14), spreadability (15, 16), texture profile analysis (2), shear tests (13), and sectility measurements (14). These methods are usually simple and rapid, and they require relatively inexpensive equipment (3, 4, 17). The majority of these tests are based on the breakdown of structure and usually yield single-parameter measurements such as hardness, yield stress, and spreadability, among others (4, 17-20). The relationship between these mechanical tests and the structure of a fat has, however, not been established. The ultimate aim of any materials science endeavor is to examine the relationship between structure and macroscopic properties. [Pg.166]

Nair, V. Taguchi s parameter design a panel discussion. Technometrics 1992, 34, 127-161. [Pg.2467]

As an example, the Fig. 13.8 demonstrates screen-shots of data analysis for absolute (upper panel) and relative (lower panel) sensitivities. Polymerization charge was varied. In the bottom part of the screen, an operator can select the analyte concentration range for the data analysis, data for either 2 or 4-point resistance measurement mode, abscissa-axis and information on the design of the combinatorial library. In the left part of the screen, an operator can select one of the analyzed parameters initial conductance, changes of conductivity, relative changes in conductivity, resistivity, changes of resistivity, relative changes of resistivity, kinetics... [Pg.324]

When adverse effect was the only contributor to the weighting function, the performance of the designs was of the order described in Section 29.7.2 (see Table 29.2, first panel). When no weight was placed on dose proportionality, but weight was placed on precision of PK parameter estimates (weight = 0.1) and safety (weight=0.9), the outcome was the same (see Table 29.2, second panel). Taking dose... [Pg.773]

The load system for the standard case consisted of three distinct load conditions as specified in Figure 6.17. The panel used is 20 in. x 16 in. made from an [(+6)n]s- angle plied laminate. The influence of the various preassigned parameters and the applied loads on optimum designs are assessed by sensitivity analyses. The sensitivity analyses consist of perturbing the preassigned parameters individually by some fixed percentage of that value which was used in a reference (standard) case. The results obtained were compared to the standard case for comparison and assessment of their effects. [Pg.513]

Design analysis is required to convert applied loads and other external constraints into stress and strain distributions within the product, and to calculate associated deformations. The nature and complexity of these calculations is influenced strongly by the geometric shape of the component. It is most convenient if the component approximates to some simple idealized form, such as a plate or shell (for example a body panel), a beam or tube (for example a chassis member or bumper), or a combination of ideahzed forms (for example a box structure). In these cases, standard design formulae can be provided into which appropriate parameters can be substituted for a particular application. [Pg.619]


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