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Formation modeling

Standard Project for a Format Model for the Exchange of Multitechnique NOT Data. [Pg.922]

It was then a natural evolution to express the need of a standard format model for the exchange of nondestructive examination (NDE) data, which can be recognized by all NDT actors and adapted to the main NDT methods. [Pg.922]

The first attempt to come up with a standard multitechnique NDE format model fulfilling these requirements was one of the main achievements of the TRAPPIST project, led between 1992 and 1994 in the frame of the European RACE Program [1],... [Pg.922]

It is important to note that the draft standard only proposes a format model. A standard or a doeument describing the application programming interfaces is necessary to implement it on a given medium. [Pg.924]

This standard proposal is limited to a format model. So, as it had been pointed out earlier, the implementation of this format requires some complementary work, which can partly be standardized. The definition of the Application Programming Interfaces (A.P.l.) could become a standard in the future. Nonetheless, this would require the creation of a new ad hoc group, with different technical competences. [Pg.927]

Screen formating Models need to be positioned on screen in the way they are to appear in Spartan View. Any graphical surfaces and maps that are to be available to Spartan View need to be displayed. (These will not be displayed upon opening of the SpARTANView screen.)... [Pg.287]

From the electron micrographs, assuming that PVAc particles in the latex are the same size, the formation model of the porous film from the latex film can be illustrated as in Fig. 3 [19]. When the latex forms a dried film over minimum film-forming temperature, it is concluded that PVA coexisted in the latex and is not excluded to the outside of the film during filming, but is kept in spaces produced by the close-packed structure of PVAc particles. [Pg.172]

Figure 3 Formation model of porous PVA film from PVAc latex. Figure 3 Formation model of porous PVA film from PVAc latex.
Shikazono, N. (1992) Formation models for Kuroko and hydrothermal ore deposits on oceanic ridges. Mining Geology, 42, 331-338 (in Japanese with English abst.). [Pg.286]

Takahashi, H. (1988) Wall-rock alteration and ore-formation model of Hosokura Pb-Zn ore deposits, Japan. Mining Geology, 38, 335-346 (in Japanese). [Pg.289]

Combinations of hydrogen peroxide, sulfuric acid, and urea have been proposed [1]. The temperature influences the urea decomposition into ammonia and carbon dioxide that provokes pressure buildup in a formation model and a 19% increase of oil-displacement efficiency in comparison with water. [Pg.204]

It follows from previous discussion that the destabilizing electrostatic contribution grows in absolute value with x (with increasing A.). But the influence of the nonuniform electrical force is overwhelmed by the stabilizing bending and stretching contributions. As a result, the traditional smectic model cannot explain how a small transmembrane voltage can lead to membrane breakdown. The obvious solution is to abandon this approach and to develop an alternative, such as the pore formation model. However, as we noticed before, this approach postulates rather than proves the appearance of hydrophobic pores. [Pg.88]

In our approach to membrane breakdown we have only taken preliminary steps. Among the phenomena still to be understood is the combined effect of electrical and mechanical stress. From the undulational point of view it is not clear how mechanical tension, which suppresses the undulations, can enhance the approach to membrane instability. Notice that pore formation models, where the release of mechanical and electrical energy is considered a driving force for the transition, provide a natural explanation for these effects [70]. The linear approach requires some modification to describe such phenomena. One suggestion is that membrane moduli should depend on both electrical and mechanical stress, which would cause an additional mode softening [111]. We hope that combining this effect with nonlocality will be illuminating. [Pg.94]

Fig. 31 Structural formation model for the initial stage of polymer crystallization [19], N G nucleation and growth of oriented domains, SD spinodal decomposition into oriented and unoriented domains, Tb, Ts, and Tx bimodal, spinodal, and crystallization temperatures, respectively I isotropic, N smectic, and C crystalline... Fig. 31 Structural formation model for the initial stage of polymer crystallization [19], N G nucleation and growth of oriented domains, SD spinodal decomposition into oriented and unoriented domains, Tb, Ts, and Tx bimodal, spinodal, and crystallization temperatures, respectively I isotropic, N smectic, and C crystalline...
Raes (1987) presents the results of additional cluster formation modeling studies based on the methods he presented earlier (Raes, 1985 Raes and Janssens, 1985). These results would suggest that the ultrafine mode is the result of ion-based cluster formation. [Pg.10]

Ruzic [278 ] considered the theoretical aspects of the direct titration of copper in seawaters and the information this technique provides regarding copper speciation. The method is based on a graph of the ratio between the free and bound metal concentration versus the free metal concentration. The application of this method, which is based on a 1 1 complex formation model, is discussed with respect to trace metal speciation in natural waters. Procedures for interpretation of experimental results are proposed for those cases in which two types of complexes with different conditional stability constants are formed, or om which the metal is adsorbed on colloidal particles. The advantages of the method in comparison with earlier methods are presented theoretically and illustrated with some experiments on copper (II) in seawater. The limitations of the method are also discussed. [Pg.170]

In the surface complex formation model the amount of surface charge that can be developed on an oxide surface is restricted by the number of surface sites. (This limitation is inherently not a part of the Gouy-Chapman theory.)... [Pg.49]

Stipp and Hochella (1991), on the basis X-ray photoelectron spectroscopy (XPS) and low energy electron diffraction (LEED), have shown that CaC03 exposed to water, contains at the surface =C03H and =CaOH functional groups and van Capellen (1991) has proposed a surface complex formation model for carbonates. Similarly, Ronngren et al. (1991) have proposed =SH and =ZnOH functional groups for the surface of hydrous ZnS s). [Pg.57]

It is surprising that data on natural particles can be fitted over a range of concentrations (representative of those encountered in natural waters) on the basis of a "single-site" surface complex formation model. Apparently similar types of binding groups are predominant and of importance in these particles. [Pg.378]

For homogeneously doped silicon samples free of metals the identification of cathodic and anodic sites is difficult. In the frame of the quantum size formation model for micro PS, as discussed in Section 7.1, it can be speculated that hole injection by an oxidizing species, according to Eq. (2.2), predominantly occurs into the bulk silicon, because a quantum-confined feature shows an increased VB energy. As a result, hole injection is expected to occur predominantly at the bulk-porous interface and into the bulk Si. The divalent dissolution reaction according to Eq. (4.4) then consumes these holes under formation of micro PS. In this model the limited thickness of stain films can be explained by a reduced rate of hole injection caused by a diffusional limitation for the oxidizing species with increasing film thickness. [Pg.163]

The pore formation models discussed in Section 6.2 are based on the semiconducting properties of the electrode but not on its chemical identity. Consequently electrochemical pore formation has been observed for many semiconductors. [Pg.164]

Even if, from the present standpoint - i.e. after the project was completed - we had excessive demands with these further abstraction steps (regarding type characterisation and justified expectations about the behaviour of innovation systems deducible from that), the project results concerning hypothesis formation, model development and recommendations for action are indeed entirely presentable. [Pg.64]


See other pages where Formation modeling is mentioned: [Pg.923]    [Pg.924]    [Pg.924]    [Pg.108]    [Pg.524]    [Pg.84]    [Pg.88]    [Pg.240]    [Pg.367]    [Pg.436]    [Pg.190]    [Pg.49]    [Pg.253]    [Pg.372]    [Pg.87]    [Pg.99]    [Pg.99]    [Pg.99]    [Pg.101]    [Pg.103]    [Pg.40]    [Pg.717]   
See also in sourсe #XX -- [ Pg.350 , Pg.351 , Pg.352 ]




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Crystal formation modeling

Crystal formation modeling systems

Dimer formation modeling

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Junction zones formation models

Kinetic Models for Microbial Product Formation

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Micelle formation modeling

Micelle formation modeling model

Model Representation in HTML Format

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Modeling of Network Formation

Models core formation

Models for Entanglement Formation

Models for in situ hydrate formation

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Network formation modeling

Network-formation models

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Particle formation model

Particle model craze formation

Porous Silicon Formation Models

Porous formation models

Positronium formation models

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Roller Formation-advection Model

Surface complex formation model

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