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Solid modeling bottom

Thermal stress calculations in the five cell stack for the temperature distribution presented above were performed by Vallum (2005) using the solid modeling software ANSYS . The stack is modeled to be consisting of five cells with one air channel and gas channel in each cell. Two dimensional stress modeling was performed at six different cross-sections of the cell. The temperature in each layer obtained from the above model of Burt et al. (2005) is used as the nodal value at a single point in the corresponding layer of the model developed in ANSYS and steady state thermal analysis is done in ANSYS to re-construct a two-dimensional temperature distribution in each of the cross-sections. The reconstructed two dimensional temperature is then used for thermal stress analysis. The boundary conditions applied for calculations presented here are the bottom of the cell is fixed in v-dircction (stack direction), the node on the bottom left is fixed in x-direction (cross flow direction) and y-direction and the top part is left free to... [Pg.149]

Figure 1.21 The gyroid surface discovered by Schoen in the 1960 s. (Top view down [111] axis of a larger partion of the surface bottom solid model.)... Figure 1.21 The gyroid surface discovered by Schoen in the 1960 s. (Top view down [111] axis of a larger partion of the surface bottom solid model.)...
Geometry modeling approach solid modeler/surface modeler top-down/bottom-up... [Pg.234]

Figure 4.10 Experimental competitive adsorption isotherm data of ds- and fraws-andro-sterone. Same phase system as in Figure 4.9. Comparison of the Langmuir competitive model (bottom) and the two-term expansion of the LeVan-Vermeulen isotherm (top). In both cases, the best-fit parameters are used to calculate the Unes. Experimental data A ds-androsterone o trafjs-androsterone. Theory czs-androsterone (dotted lines) trans-androsterone (solid Hnes). a and d 2 1 mixture b and e 1 1 mixture and c and f 1 2 mixture. Reproduced with permission from S. Golshan-Shirazi, J.-X. Huang and G. Guiochon, Anal. Chem., 63 (1991) 1147 (Figs. 1 and 2), ( )1991 American Chemical Society. Figure 4.10 Experimental competitive adsorption isotherm data of ds- and fraws-andro-sterone. Same phase system as in Figure 4.9. Comparison of the Langmuir competitive model (bottom) and the two-term expansion of the LeVan-Vermeulen isotherm (top). In both cases, the best-fit parameters are used to calculate the Unes. Experimental data A ds-androsterone o trafjs-androsterone. Theory czs-androsterone (dotted lines) trans-androsterone (solid Hnes). a and d 2 1 mixture b and e 1 1 mixture and c and f 1 2 mixture. Reproduced with permission from S. Golshan-Shirazi, J.-X. Huang and G. Guiochon, Anal. Chem., 63 (1991) 1147 (Figs. 1 and 2), ( )1991 American Chemical Society.
Fig. 4. (Top panel) radiated (dashed line) and He-burning (solid line) luminosity during the core helium flash for the 1M , Z = 0.004 model. (Bottom panel) mass of the temperature maximum as a function of time. At the flash peak, the maximum temperature is 0.2M0 from the centre of the star. The evolution of a 1M , Z = 0.02 star would be very similar although somewhat less extreme owing to the higher initial metallicity... Fig. 4. (Top panel) radiated (dashed line) and He-burning (solid line) luminosity during the core helium flash for the 1M , Z = 0.004 model. (Bottom panel) mass of the temperature maximum as a function of time. At the flash peak, the maximum temperature is 0.2M0 from the centre of the star. The evolution of a 1M , Z = 0.02 star would be very similar although somewhat less extreme owing to the higher initial metallicity...
Fig. 30. Weighted yield of 12C as a function of the initial mass for the Z = 0.02 (top), the Z = 0.008 (middle) and the Z = 0.004 models (bottom). We show results from [24] (black solid points), [162] (open magenta squares), [112] (solid green squares), [163] (open red circles), [164] (solid aqua triangles), and [79] (blue crosses)... Fig. 30. Weighted yield of 12C as a function of the initial mass for the Z = 0.02 (top), the Z = 0.008 (middle) and the Z = 0.004 models (bottom). We show results from [24] (black solid points), [162] (open magenta squares), [112] (solid green squares), [163] (open red circles), [164] (solid aqua triangles), and [79] (blue crosses)...
Figure 5.16 Top plot is mean concentration-time profile for Drug X administered as an intravenous infusion (Table 5.13). Solid lines are predicted values based on a 2-compartment model fit to the data. Model parameter estimates are shown in Table 5.14. Middle plot is scatter plot of observed versus predicted concentrations under the fitted model Bottom plot is weighted residual plot versus time. Insets are in file semi-log domain. Symbols are defined in Fig. 5.15. Figure 5.16 Top plot is mean concentration-time profile for Drug X administered as an intravenous infusion (Table 5.13). Solid lines are predicted values based on a 2-compartment model fit to the data. Model parameter estimates are shown in Table 5.14. Middle plot is scatter plot of observed versus predicted concentrations under the fitted model Bottom plot is weighted residual plot versus time. Insets are in file semi-log domain. Symbols are defined in Fig. 5.15.
The same tubing example shown in Fig. 19 is employed to illustrate the capabilities offered in Wizard. We start with a polygon mesh that has been segmented, as shown in Fig. 19a. First, we select the exterior region of the main branch and choose Pipe Wizard. Rapidjbrm uses a best fit pipe surface to fit the main branch automatically, as shown in Fig. 19b. Note that the Pipe Wizard generates section profile and guide curve as spatial (non-planar) spline curves, which cannot be parameterized. Also, wall thickness has to be added to the p>ip)e to complete the solid feature. Next, we choose Revolution Wizard to create revolved features for the top and bottom flanges, as shown in Fig. 19c. Note that each individual features are extracted separately. They are not associated. Boolean operations must be applied to these decoupled features for a final solid model. [Pg.180]

Fig. 23.19 (Top) Comparison of experimental data for mean diameter of secondary emulsion drops X5o,3/x5o,3,imaai as a function of We xnof for different emulsion systems (symbols) and model approximation function (23.12) (solid line), (bottom) similar comparison for maximum drop diameter xgo.s/Xgo.s.initiaf both diagrams fit parameters n = —0.169 and m = 0.08... Fig. 23.19 (Top) Comparison of experimental data for mean diameter of secondary emulsion drops X5o,3/x5o,3,imaai as a function of We xnof for different emulsion systems (symbols) and model approximation function (23.12) (solid line), (bottom) similar comparison for maximum drop diameter xgo.s/Xgo.s.initiaf both diagrams fit parameters n = —0.169 and m = 0.08...
Figure Al.3.6. An isolated square well (top). A periodie array of square wells (bottom). This model is used iu the Krouig-Peimey deseriptiou of energy bauds iu solids. Figure Al.3.6. An isolated square well (top). A periodie array of square wells (bottom). This model is used iu the Krouig-Peimey deseriptiou of energy bauds iu solids.
Figure Bl.14.13. Derivation of the droplet size distribution in a cream layer of a decane/water emulsion from PGSE data. The inset shows the signal attenuation as a fiinction of the gradient strength for diflfiision weighting recorded at each position (top trace = bottom of cream). A Stokes-based velocity model (solid lines) was fitted to the experimental data (solid circles). The curious horizontal trace in the centre of the plot is due to partial volume filling at the water/cream interface. The droplet size distribution of the emulsion was calculated as a fiinction of height from these NMR data. The most intense narrowest distribution occurs at the base of the cream and the curves proceed logically up tlirough the cream in steps of 0.041 cm. It is concluded from these data that the biggest droplets are found at the top and the smallest at the bottom of tlie cream. Figure Bl.14.13. Derivation of the droplet size distribution in a cream layer of a decane/water emulsion from PGSE data. The inset shows the signal attenuation as a fiinction of the gradient strength for diflfiision weighting recorded at each position (top trace = bottom of cream). A Stokes-based velocity model (solid lines) was fitted to the experimental data (solid circles). The curious horizontal trace in the centre of the plot is due to partial volume filling at the water/cream interface. The droplet size distribution of the emulsion was calculated as a fiinction of height from these NMR data. The most intense narrowest distribution occurs at the base of the cream and the curves proceed logically up tlirough the cream in steps of 0.041 cm. It is concluded from these data that the biggest droplets are found at the top and the smallest at the bottom of tlie cream.
The trichloroethylene is oxidized, the gaseous products are removed by the flowing air, and the ehlorine is eaptured by the solid soda and forms salt. The solid salt is removed by diseharging the used OXITOX at the bottom of the reaetor. This is a relatively slow reaetion and the central interest is in removing the last traees of toxic chlorinated compounds (for which TCE is only a model eompound), therefore a very simple model was used. Based on conservation prineiples, it was assumed that chloride removed from the gas phase ends up in the solid phase. This was proven in several material balanee ealeulations. No HCl or other ehlorinated compound was found in the gas phase. The eonsumption rate for TCE was expressed as ... [Pg.170]

In its development, it adapted two existing technologies, In the agricultural sector, the mechanics of grain elevators provided a model for how to move solids vertical distances and in closed-loop flow arrangements. Sacony engineers modified the elevator bucket systems traditionally used by the grain industry to carry hot catalyst from the bottom to top of vessels and between vessels. [Pg.992]

Figure 38. Evolution of the proposed surface aspect of a polypyrrole film during an oxidation reaction initiated from high cathodic potentials (E < -800 mV vs. SCE). The chronoamperometric response is shown at the bottom. Experimental confirmation can be seen in the pictures in Ref. 177. (Reprinted from T. F. Otero and E. Angulo, Oxidation-reduction of polypyrrole films. Kinetics, structural model, and applications. Solid State Ionics 63-64, 803, 1993, Figs. 1-3. Copyright 1993. Reprinted with kind permission of Elsevier Science-NL, Sara Burgerhartstraat 25, 1055, KV Amsterdam, The Netherlands.)... Figure 38. Evolution of the proposed surface aspect of a polypyrrole film during an oxidation reaction initiated from high cathodic potentials (E < -800 mV vs. SCE). The chronoamperometric response is shown at the bottom. Experimental confirmation can be seen in the pictures in Ref. 177. (Reprinted from T. F. Otero and E. Angulo, Oxidation-reduction of polypyrrole films. Kinetics, structural model, and applications. Solid State Ionics 63-64, 803, 1993, Figs. 1-3. Copyright 1993. Reprinted with kind permission of Elsevier Science-NL, Sara Burgerhartstraat 25, 1055, KV Amsterdam, The Netherlands.)...
Fig. 4 Predicted versus observed summer Anoxic Factor (AF) in (a, b) Foix Reservoir (Spain), (c, d) San Reservoir (Spain), (e, f) Brownlee Reservoir (USA), and (g, h) Pueblo Reservoir (USA). The results have been arranged to place the systems along a gradient of relative human impact (Foix Reservoir at the top, Pueblo Reservoir at the bottom). Predictions are based on linear models using different independent variables (in brackets) Inflow = streamflow entering the reservoir during the period DOCjjiflow = mean summer river DOC concentration measured upstream the reservoir CljjjAow = mean summer river CU concentration measured upstream the reservoir and Chlepi = mean summer chlorophyll-a concentration measured in the epilimnion of the reservoir. The symbol after a variable denotes a nonsignificant effect at the 95% level. Solid lines represent the perfect fit, and were added for reference. Modified from Marce et al. [48]... Fig. 4 Predicted versus observed summer Anoxic Factor (AF) in (a, b) Foix Reservoir (Spain), (c, d) San Reservoir (Spain), (e, f) Brownlee Reservoir (USA), and (g, h) Pueblo Reservoir (USA). The results have been arranged to place the systems along a gradient of relative human impact (Foix Reservoir at the top, Pueblo Reservoir at the bottom). Predictions are based on linear models using different independent variables (in brackets) Inflow = streamflow entering the reservoir during the period DOCjjiflow = mean summer river DOC concentration measured upstream the reservoir CljjjAow = mean summer river CU concentration measured upstream the reservoir and Chlepi = mean summer chlorophyll-a concentration measured in the epilimnion of the reservoir. The symbol after a variable denotes a nonsignificant effect at the 95% level. Solid lines represent the perfect fit, and were added for reference. Modified from Marce et al. [48]...
Experimental residence time studies are to be carried out in which the solid in the bottom half of the bed is initially mixed with tracer, the bed started and timed samples taken from various locations in the bed annular region. It is desired to model the resulting tracer distribution in the bed in order to find the fraetional slippage rate between the annular tanks and the central bed regions. [Pg.467]

Fig. 6.8 Mossbauer spectra of deoxy-myoglobin, obtained in applied fields of 2 T (left) and 6.2 T (right) at temperatures of 4.2, 10, 15, 20, 30 and 50 K (from bottom to top). The solid lines were calculated using a relaxation model. (Reprinted from [34] copyright 1994 by Springer-Verlag)... Fig. 6.8 Mossbauer spectra of deoxy-myoglobin, obtained in applied fields of 2 T (left) and 6.2 T (right) at temperatures of 4.2, 10, 15, 20, 30 and 50 K (from bottom to top). The solid lines were calculated using a relaxation model. (Reprinted from [34] copyright 1994 by Springer-Verlag)...
Fig. 2. (Left panel) evolutionary tracks using FST in the logTefj vs. log g plane (solid line non gray models with rph = 10 by Montalban et al.,2004) and 2D calibrated MLT (dashed line).(Right panel) Lithium evolution for the solar mass with different assumptions about convection and model atmospheres. The dotted line at bottom represents today s solar lithium abundance. MLT models with AH97 model atmospheres down to Tph = 10 and 100 are shown dotted for cum = 1 and dash-dotted for cpr, = 1.9. The Montalban et al. (2004) MLT models with Heiter et al. (2002) atmospheres down to Tph = 10 (lower) and 100 (upper) are dashed The continuous lines show the non gray FST models for rph = 10 and 100, and, in between, the long dashed model employing the 2D calibrated MLT. Fig. 2. (Left panel) evolutionary tracks using FST in the logTefj vs. log g plane (solid line non gray models with rph = 10 by Montalban et al.,2004) and 2D calibrated MLT (dashed line).(Right panel) Lithium evolution for the solar mass with different assumptions about convection and model atmospheres. The dotted line at bottom represents today s solar lithium abundance. MLT models with AH97 model atmospheres down to Tph = 10 and 100 are shown dotted for cum = 1 and dash-dotted for cpr, = 1.9. The Montalban et al. (2004) MLT models with Heiter et al. (2002) atmospheres down to Tph = 10 (lower) and 100 (upper) are dashed The continuous lines show the non gray FST models for rph = 10 and 100, and, in between, the long dashed model employing the 2D calibrated MLT.
Fig. 1. (a) left) Profiles at the bump, of the total diffusion coefficient (top) and of the degree of differential rotation (bottom) for model B (solid lines) and model C dotted, lines). Hatched regions correspond to the CE. (b) right) Comparison of our models with observations ([4]). Triangles are lower limits. Dots are actual values. [Pg.305]

A fluidized-bed reactor consists of three main sections (Figure 23.1) (1) the fluidizing gas entry or distributor section at the bottom, essentially a perforated metal plate that allows entry of the gas through a number of holes (2) the fluidized-bed itself, which, unless the operation is adiabatic, includes heat transfer surface to control T (3) the freeboard section above the bed, essentially empty space to allow disengagement of entrained solid particles from the rising exit gas stream this section may be provided internally (at the top) or externally with cyclones to aid in the gas-solid separation. A reactor model, as discussed here, is concerned primarily with the bed itself, in order to determine, for example, the required holdup of solid particles for a specified rate of production. The solid may be a catalyst or a reactant, but we assume the former for the purpose of the development. [Pg.584]

Figure 9.6 Comparison of the equilibrium [equation (9.2.2)] and fractional melting [equation (9.3.15)] models for a bulk solid-liquid partition coefficient Dt of 0.1 (top) and 2 (bottom). Although the concentrations predicted by the two models diverge rapidly for incompatible elements in instantaneous melts, they remain virtually identical for compatible elements. Figure 9.6 Comparison of the equilibrium [equation (9.2.2)] and fractional melting [equation (9.3.15)] models for a bulk solid-liquid partition coefficient Dt of 0.1 (top) and 2 (bottom). Although the concentrations predicted by the two models diverge rapidly for incompatible elements in instantaneous melts, they remain virtually identical for compatible elements.
Figure 9.7 The continuous melting model for Dt=0.001 and diverse values of the residual porosity Figure 9.7 The continuous melting model for Dt=0.001 and diverse values of the residual porosity <p. Concentrations in the residue, e.g., solid plus residual melt (top) and the liquid (bottom).
Figure 7. Librational infrared spectra of methanol clusters [93] (bands B and C due to the tetramer, broad profile due to large clusters, cluster size increases from bottom to top) compared to the absorptions in amorphous and crystalline (zig zag) solid methanol [40]. The large clusters compare well to the amorphous solid, whereas the ring tetramer may be viewed as a small model of the zig zag chains in the crystal. Note that the high frequency band C acquires IR intensity through puckering of the methyl groups above (u) and below (d) the hydrogen bond plane. Figure 7. Librational infrared spectra of methanol clusters [93] (bands B and C due to the tetramer, broad profile due to large clusters, cluster size increases from bottom to top) compared to the absorptions in amorphous and crystalline (zig zag) solid methanol [40]. The large clusters compare well to the amorphous solid, whereas the ring tetramer may be viewed as a small model of the zig zag chains in the crystal. Note that the high frequency band C acquires IR intensity through puckering of the methyl groups above (u) and below (d) the hydrogen bond plane.
Fig. 12. Isotherm sorption models for bottom ash solid waste, representing Langmuir (C/Cs vs C), Freundlich (logCs vs log C), and Linear (Csvs C) models... Fig. 12. Isotherm sorption models for bottom ash solid waste, representing Langmuir (C/Cs vs C), Freundlich (logCs vs log C), and Linear (Csvs C) models...
Figure 2.5. Energy level diagram (top) and spectra (bottom) illustrating the two-state model of relaxation. The energy of the absorbed quantum is Av , and the energies of the emitted quanta are hvfl (unrelaxed) and hvF (relaxed). The fluorescence spectrum of the unrelaxed state (solid curve) is shifted relative to the absorption spectrum (dotted curve) due to the Stokes shift. The emission intensity from the unrelaxed state decreases and that from the relaxed state (dashed curve) increases as a result of relaxation. Figure 2.5. Energy level diagram (top) and spectra (bottom) illustrating the two-state model of relaxation. The energy of the absorbed quantum is Av , and the energies of the emitted quanta are hvfl (unrelaxed) and hvF (relaxed). The fluorescence spectrum of the unrelaxed state (solid curve) is shifted relative to the absorption spectrum (dotted curve) due to the Stokes shift. The emission intensity from the unrelaxed state decreases and that from the relaxed state (dashed curve) increases as a result of relaxation.

See other pages where Solid modeling bottom is mentioned: [Pg.360]    [Pg.360]    [Pg.148]    [Pg.203]    [Pg.478]    [Pg.180]    [Pg.38]    [Pg.76]    [Pg.349]    [Pg.233]    [Pg.485]    [Pg.350]    [Pg.1077]    [Pg.88]    [Pg.523]    [Pg.421]    [Pg.73]    [Pg.372]    [Pg.184]    [Pg.872]    [Pg.295]   
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