Performance correlation

Figure 8-152A. Mechanical performance correlations for high-pressure fractionation trays. Used by permission, Capps, R. W., The American institute of Chemical Engineers, Chem. Eng. Prog. V. 89, No. 3, (1993), p. 35, all rights reserved.

Atomizer performance, correlation with spray parameters, 23 189-190 Atomizers, 23 172-173... 

Analytical model, assumptions and practical implications, 52-57 Analytical performance, correlation chromatography, 108 Analytical process, steps of, 7 Aroclors, isomer-specific analysis of, application of SIMCA, 195-232 Atomic absorption spectrometry, determination of iron in water, 116... 

Later we performed correlation GRECP/NOCR calculations of the core properties in YbF [92], BaF [93], again in YbF [94] and in TIF [19]. In 1998, first all-electron Dirac-Fock calculations of the YbF molecule were also... 

Specific to our research, the multidimensional techniques such as MBS, factor analysis, canonical correlation and regression analysis have been used not only to analyze sensory and analytical data, but also to perform correlation between the two sets of data. 

Success of rate-based multistage separation modeling is ultimately tied to underlying equipment hydrodynamics performance correlations for tray or packed columns. For example, the thickness of the film... 

The best traditional quantum-chemical descriptions of chemical reactions involve three different demanding calculations. First, one performs correlated electronic structure calculations at a few most important geometries, minimally those of the reactants, of the transition state, and of the products. The results of these few calculations are then fitted to extrapolate a full potential-energy... 

Smith J.M., Simple Performance Correlations for Agitated Vesels, Proc. 

Cobalt-promoted molybdenum sulfides supported on alumina are widely used in petroleum refining for sulfur removal [1]. However, there is now increasing necessity to further improve their performance (activity, selectivity, and stability), due to more and more stringent legislation on sulfur contents in transportation fuels [2]. It is thus primordial to understand the detailed structure and catalytic behavior of these catalysts. In this respect, controlled preparation of catalysts with desired composition and structure has great importance in permitting fundamental study of structure-performance correlation. 

Smith, 1. M., Simple Performance Correlations for Agitated Vessels, North American Mixing Forum (NAMF) Mixing XIII, Banff, Canada, 1991. 

Coconut shell-based carbon seems to be less susceptible to fouling by NOM and other background water quality parameters, e.g., the precipitation of manganese, iron, or calcium carbonate [28] however, a decrease in adsorption performance correlating with the TOC content of three different natural waters was observed as well [55]. Knappe and Rossner [54] found a reduction of adsorption capacity of up to 60% for the coal-based activated carbons, for the coconut shell-based carbons of around 20%. The presence of NOM in values of 0.5 mg/L TOC resulted in a decrease in adsorption capacity of coconut-based carbons [28,53]. 

The observed influence of the preparation method on the catalytic performance correlates well with the effect that the preparation method has on the reducibility of the catalysts. The samples of easily reducible surface and with higher amount of a-oxygen species were the most active. This is in agreement with TPR results. 

Hence the orbital energies of occupied orbitals pertain to interactions appropriate to a total of A electrons, while the orbital energies of virtual orbitals pertain to a system with A+ 1 electrons. This usually makes SCF virtual orbitals not very good for use in subsequent correlation calculations or for use in interpreting electronic excitation processes. To correlate a pair of electrons that occupy a valence orbital requires double excitations into a virtual orbital of similar size the SCF virtual orbitals are too diffuse. For this reason, significant effort has been devoted to developing methods that produce so-called improved virtual orbitals (IVOs) [46] that are of more utility in performing correlated calculations. 

Abstract Spray nozzles are used in many applications such as cleaning, cutting, and spraying. Spray nozzles come in many varieties, and are usually classified according to the specific mode of atomization they employ. In this chapter, twin fluid, swirl, hydraulic, ultrasonic, rotary, and electrostatic nozzles are discussed. First, their specific mode of atomization is explained, followed by a brief description on the variation on each type of nozzle. Next, a comprehensive list of performance correlations for each type of nozzle is compiled from various sources. Finally, these correlations are explored in more detail for each type of nozzle. 

Unlike airblast nozzles, air-assist nozzles operate at low flow rates, but the air supply is kept under pressure. However there is no restriction on the velocity of the air or liquid. Because the air is kept under a pressurized source, it must only be supplied when it is needed, and not continuously. As the name suggests, in air-assist nozzles, air is supplied only when needed, whereas in airblast nozzles, the air is supplied continuously. Performance correlations can be found in Table 24.3. 

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