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Distributed development

Tailoring of the particle size of the crystals from industrial crystallizers is of significant importance for both product quality and downstream processing performance. The scientific design and operation of industrial crystallizers depends on a combination of thermodynamics - which determines whether crystals will form, particle formation kinetics - which determines how fast particle size distributions develop, and residence time distribution, which determines the capacity of the equipment used. Each of these aspects has been presented in Chapters 2, 3, 5 and 6. This chapter will show how they can be combined for application to the design and performance prediction of both batch and continuous crystallization. [Pg.190]

Mosleh, Kazarians, and Gekler obtained a Bayesian estimate of the failure rate, Z, of a coolant recycle pump in llie hazard/risk study of a chemical plant. The estimate was based on evidence of no failures in 10 years of operation. Nuclear industry experience with pumps of similar types was used to establish tire prior distribution of Z. Tliis experience indicated tliat tire 5 and 95 percentiles of lire failure rate distribution developed for tliis category were 2.0 x 10" per hour (about one failure per 57 years of operation) and 98.3 x 10 per hour (about one failure per year). Extensive experience in other industries suggested the use of a log-nonnal distribution witli tlie 5 and 95 percentile values as llie prior distribution of Z, tlie failure rate of the coolant recycle pump. [Pg.614]

Figure 24 Probability distributions for the waiting time for 10 dihedral transitions. Time is given in units of the average waiting time 10x. The distributions are peaked around 10 = 1 and are much broader than the Poisson distribution but approach it for high T. For low T, a high probability for short waiting times exists and a long time tail of the distribution develops. Figure 24 Probability distributions for the waiting time for 10 dihedral transitions. Time is given in units of the average waiting time 10x. The distributions are peaked around 10 = 1 and are much broader than the Poisson distribution but approach it for high T. For low T, a high probability for short waiting times exists and a long time tail of the distribution develops.
The theory of molecular structure based on the topology of molecular charge distribution, developed by Bader and co-workers (83MI2 85ACR9), enables certain features to be revealed that are characteristic of the systems with aromatic cyclic electron delocalization. To describe the structure of a molecule, it is necessary to determine the number and kind of critical points in its electronic charge distribution, i.e., the points where for the gradient vector of the charge density the condition Vp = 0 is fulfilled. [Pg.333]

Resolution in CMS, like sensitivity, depends on the molecular weight, molecular weight distribution, developer solvent, and light absorption characteristics. With low degrees of chloromethylation (<0.14), resolution of 1 pm lines and spaces has been demonstrated. As the chloromethylation ratio is increased, the resolution is degraded primarily because of overexposure of the top part of the resist layer. [Pg.65]

In summary, one may stress that the two-time-scale description on which the Kramers approach is based (see previously) clearly appears here in the time and spatial domains. During the first stage, the system relaxes rapidly and nonexponentially on a time scale rqs t and behaves as if there is no external force. On the longer time scale t", the system is characterized by the well-defined spatial equilibrium distribution, developed equilibrium values for the dynamical variables, and relaxes exponentially. [Pg.133]

In a column of particulate solids contained in a vertical bin, the pressure at the base will not be proportional to the height of the column because of the friction between the solids and the wall. Moreover, a complex stress distribution develops in the system, which depends on the properties of the particulate solids as well as the loading method. The latter affects the mobilization of friction, both at the wall and within the powder. Finally, arching or doming may further complicate matters. Hence, an exact solution to the problem is hard to obtain. In 1895, Janssen (18) derived a simple equation for the pressure at the base of the bin, which is still frequently quoted and used. The assumptions that he made are the vertical compressive stress is constant over any horizontal plane, the ratio of horizontal and vertical stresses is constant and independent of depth, the bulk density is constant, and the wall friction is fully mobilized, that is, the powder is in incipient slip condition at the wall. [Pg.150]

A more general yet tractable approach to semi-Markov models is the phase-type distribution developed by Neuts [363], who showed that any nondegenerate distribution / (a) of a retention time A with nonnegative support can be approximated, arbitrarily closely, by a distribution of phase type. Consequently, all semi-Markov models in the recent literature are special phase-type distribution models. However, the phase-type representation is not unique, and in any case it will be convenient to consider some restricted class of phase-type distributions. [Pg.225]

Borstar A catalytic process for polymerizing ethylene or propylene, subdivided into Borstar PE and Borstar PP. Use of two reactors — a loop reactor and a gas-phase reactor — allows better control of molecular weight distribution. The loop reactor operates under supercritical conditions to avoid bubble formation. Either Ziegler-Natta or metallocene catalysts can be used. The latest version, Borstar PE 2G, uses a single, multizone gas-phase reactor to make polymers that have bimodal molecular weight distributions. Developed by Borealis A/S. The first commercial unit, for polyethylene, was installed in Porvoo, Finland, in 1995. The first polypropylene plant was operated by Borealis in Schwechat, Austria, in 2000. In 2005, Borstar s total capacity for PE and PP was 1.3 million tons. [Pg.49]

Product particle size distributions of impact ground thermoplastics (specifically PETP and PVC) are interpreted and models describing these distributions developed. Results from multiple and single particle breakage in a hammer mill are used. The values of the model coefficients are related to the brittle-ductile transition grinding conditions and breakage mechanisms. Results are relevant to the separation of thermoplastics, as for example, is required when recycling consumer products such as bottles. 3 refs. [Pg.139]

Thompson, W. (1984). Distribution, development and functioning of mycelial cord systems of decomposer basidiomycetes of the deciduous woodland floor. In The Ecology and Physiology of the Fungal Mycelium, ed. D. H. Jennings A. D. M. Rayner. Cambridge Cambridge University Press, pp. 185-214. [Pg.180]

TriboUet E, Duboisdauphin M, Dreifuss JJ, Barberis C, Jard S (1992) Oxytocin receptors in the central-nervous-system - distribution, development, and species-differences. Ann N Y Acad Sci 652 29-38... [Pg.527]

Fig. 14 Accumulated weight fraction distribution development with and without terminal double bond polymerization... Fig. 14 Accumulated weight fraction distribution development with and without terminal double bond polymerization...
Fig. 22 Crosslinking density distribution development during bulk and emulsion polymerization under Flory s simplifying assumptions, where the initial mole fraction of divinyl monomer is 0.01, and x =0A for emulsion polymerization... Fig. 22 Crosslinking density distribution development during bulk and emulsion polymerization under Flory s simplifying assumptions, where the initial mole fraction of divinyl monomer is 0.01, and x =0A for emulsion polymerization...
On the other hand, Settari et al. (50) used a finite-element analysis in examining the consec[uences of both velocity-dependent and constant dispersion coefficients during a two-dimensional displacement. They found that fingers in the concentration distribution developed when the permeability was homogeneous, so long as the dispersion coefficients were sufficiently small. This was apparently the first successful use of truncation and round-off errors to play the roles of physical perturbations in initiating instabilities. Russell (51) later had a similar experience. [Pg.48]

Perttila, M., Niemisto, L., and Makela, K. (1995). Distribution, development and total amounts of nutrients in the Gulf of Finland. Estuar. Coast. Shelf Sci. 41, 345-360. [Pg.703]

Although we focus primarily on the mid-continental and eastern U.S., it should be noted that areas that have been affected by tectonically driven fluid-flow systems are found worldwide. Therefore, many of the concepts and characteristics of arsenic distribution developed in this paper are extendible to other settings, and examples are given at the end of the chapter. [Pg.130]

Varicella and variola rashes have distinct differences in their distribution, development and appearance. The typical varicella rash has a centripetal distribution, with lesions most prominent on the trunk and rarely seen on the palms and soles. The varicella rash develops in successive groups (crops) of lesions over several days, resulting in lesions of various stages of development and resolution. Varicella lesions are superficial, the lesions appear delicate and not well circumscribed. They rarely become confluent or umbilicated. [Pg.48]

Fig. 5.5. The Saffman force on a particle in a shear flow. The sketch illustrates that this lift force is caused by the pressure distribution developed around the sphere due to particle rotation induced by the shear flow velocity gradient. Fig. 5.5. The Saffman force on a particle in a shear flow. The sketch illustrates that this lift force is caused by the pressure distribution developed around the sphere due to particle rotation induced by the shear flow velocity gradient.
Particle size distribution. Development data should be considered when determining the need for either a dissolution procedure or a particle size distribution procedure. [Pg.402]

Different Subprojects of Distributed Development It should be possible to parameterize tools for a specific context in an apphcation domain, or for well-defined or approved structures of processes or documents. The corresponding adaptation should be possible from one project to the next, or even better during a running project. [Pg.31]

Deviation to allow distributed, models We have also learned that in the case of distributed development, different companies have to share some models but also need local deviations in order to get along with their contextual development cultures. Again, there are first models in column... [Pg.602]

Parameterization can have different granularities A tool is locally parameterized for a specific user, specific habits in a department, or specific knowledge of a subdomain. Moreover, a tool can also be parameterized for the cooperation of different people from different subdomains. An even more comprehensive form is, if a complete development process is parameterized, implying local parameterizations of used specific tools. The latter might happen also for distributed development processes where subprocesses are carried out in different companies, which needs adaptation to the habits of these different companies. [Pg.761]

The idea of building tools on elaborated platforms was strictly followed. Support of distributed development processes was also intensively studied. Tool construction was regarded to be integrated with modeling on different levels. [Pg.762]


See other pages where Distributed development is mentioned: [Pg.286]    [Pg.265]    [Pg.167]    [Pg.34]    [Pg.34]    [Pg.38]    [Pg.41]    [Pg.725]    [Pg.30]    [Pg.170]    [Pg.103]    [Pg.271]    [Pg.605]    [Pg.126]    [Pg.143]    [Pg.224]    [Pg.560]    [Pg.524]    [Pg.69]    [Pg.24]    [Pg.27]    [Pg.758]    [Pg.759]   


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