Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Two-Dimensional Transformation

Figure 24.21 shows a two-dimensional martensitic transformation in which a parent phase, P, is transformed into a martensitic phase, M, by a lattice deformation, B. Note that there is no invariant line in this two-dimensional transformation. Find a lattice-invariant deformation, S, and a rigid rotation, R, that together with the lattice deformation, B, produce an overall deformation given by... [Pg.584]

Figure 24.21 Two-dimensional transformation of parent phase, P, to martensitic phase, M, by the lattice deformation, B. Figure 24.21 Two-dimensional transformation of parent phase, P, to martensitic phase, M, by the lattice deformation, B.
Figure 24.22 Production of an invariant line (habit line) along AB in a two-dimensional transformation of a parent phase, P, to a martensitic phase, M. The degree of matching of phases is indicated in (d) by shading shared sites in the interface. Figure 24.22 Production of an invariant line (habit line) along AB in a two-dimensional transformation of a parent phase, P, to a martensitic phase, M. The degree of matching of phases is indicated in (d) by shading shared sites in the interface.
Figure 6.29. Coordinate system for the description of the Ht ion, showing the two-dimensional transformation from cartesian to elliptical coordinates. Figure 6.29. Coordinate system for the description of the Ht ion, showing the two-dimensional transformation from cartesian to elliptical coordinates.
A two-dimensional model is required for the wind running onto a forest edge or onto a finite-length fetch (green belts or shelterbelts). In this case, the significant two-dimensional transformation of the air flow takes place from the entry towards the downstream region, where the flow adjusts to an equilibrium state (1.4). A suitable mathematical model uses partial differential equations [155] ... [Pg.5]

Solutions of (6.14) and (6.15), the rectifying and stripping cascade flash trajectories, can be represented in mole fraction space (three dimensional for the IPOAc system). However, we represent the solutions in transformed composition space, which is two dimensional for IPOAc system (for a derivation and properties of these transformed variables [46]). This transformed composition space is a projection of a three dimension mole fraction space onto a two dimensional transformed composition subspace for the IPOAc system. Even though the correspondence between real compositions and transformed compositions is not one-to-one in the kinetic regime, we will make use of these transforms because of ease of visualization of the trajectories, and because overall mass balance for reactive systems (kinetically or equilibrium limited) can be represented with a lever rule in transformed compositions. We use this property to assess feasible splits for continuous RD. [Pg.157]

T.S.Huang Introductioa - H. C. Andrews Two-Dimensional Transforms. -/. G. Hasconaro Two-Dimensional Nunre-cursive Filters. -RR. Read, J. L Shanks,... [Pg.162]

The right-hand side of this expression is the two-dimensional Fourier transform at the spatial frequency (tt = w cos V = w sin ff). Hence, we have the relationship between the projection at angle d and the two-dimensional transform of the object function, written as... [Pg.670]

This is the Fourier slice theorem, which states that the Fourier transform of a parallel projection of an object taken at angle 0 to the a axis in physical space is equivalent to a slice of the two-dimensional transform F(u, v) of the object function f(x, y), inclined at an angle 0 to the u axis in frequency space (Fig. 26.16). [Pg.670]

While the Fourier slice theorem implies that given a sufficient number of projections, an estimate of the two-dimensional transform of the object could be assembled and by inversion an estimate of the object obtained, this simple conceptual model of tomography is not implemented in practice. The approach that is usually adopted for straight ray tomography is that known as the filtered back-projection algorithm. This method has the advantage that the reconstruction can be started as soon as the first projection has been taken. Also, if numerical interpolation is necessary to compute the contribution of each projection to an image point, it is usually more accinate to conduct this in physical space rather than in frequency space. [Pg.672]

The one-dimensional Fourier transformation C t, tp) represents a central cross section. Applying two-dimensional transformations, we can obtain s ti,t2) in the time domain, which in turn can be transformed to 5 ( i,(02) in the firequency... [Pg.476]

Merks R P J and de Beer R 1979 Two-dimensional Fourier transform of electron spin-echo envelope modulation. An alternative for ENDOR J. Phys. Chem. 83 3319-22... [Pg.1589]

For example one forms, within a two-dimensional (2D) sub-Hilbert space, a 2x2 diabatic potential matrix, which is not single valued. This implies that the 2D transformation matrix yields an invalid diabatization and therefore the required dimension of the transformation matrix has to be at least three. The same applies to the size of the sub-Hilbert space, which also has to be at least three. In this section, we intend to discuss this type of problems. It also leads us to term the conditions for reaching the minimal relevant sub-Hilbert space as the necessary conditions for diabatization. ... [Pg.678]

The monolayer resulting when amphiphilic molecules are introduced to the water—air interface was traditionally called a two-dimensional gas owing to what were the expected large distances between the molecules. However, it has become quite clear that amphiphiles self-organize at the air—water interface even at relatively low surface pressures (7—10). For example, x-ray diffraction data from a monolayer of heneicosanoic acid spread on a 0.5-mM CaCl2 solution at zero pressure (11) showed that once the barrier starts moving and compresses the molecules, the surface pressure, 7T, increases and the area per molecule, M, decreases. The surface pressure, ie, the force per unit length of the barrier (in N/m) is the difference between CJq, the surface tension of pure water, and O, that of the water covered with a monolayer. Where the total number of molecules and the total area that the monolayer occupies is known, the area per molecules can be calculated and a 7T-M isotherm constmcted. This isotherm (Fig. 2), which describes surface pressure as a function of the area per molecule (3,4), is rich in information on stabiUty of the monolayer at the water—air interface, the reorientation of molecules in the two-dimensional system, phase transitions, and conformational transformations. [Pg.531]

Linear air jets are formed by slots or rectangular openings with a large aspect ratio. The jet flow s are approximately two-dimensional. Air velocities are symmetric in the plane at which air velocities in the cross-section are maximum. At some distance from the diffuser, linear air jets tend to transform info compact jets. [Pg.447]

Plain Slot The analytical solution for the slot in the two-dimensional case can be obtained by conformal transformation - ... [Pg.835]

Obviously, the theory outhned above can be applied to two- and three-dimensional systems. In the case of a two-dimensional system the Fourier transforms of the two-particle function coefficients are carried out by using an algorithm, developed by Lado [85], that preserves orthogonality. A monolayer of adsorbed colloidal particles, having a continuous distribution of diameters, has been investigated by Lado. Specific calculations have been carried out for the system with the Schulz distribution [86]... [Pg.156]

Using the two-dimensional Fourier-Bessel transform, the PYl equation (7) becomes (cf. Refs. 30,31)... [Pg.183]

Most microscopic theories of adsorption and desorption are based on the lattice gas model. One assumes that the surface of a sohd can be divided into two-dimensional cells, labelled i, for which one introduces microscopic variables Hi = 1 or 0, depending on whether cell i is occupied by an adsorbed gas particle or not. (The connection with magnetic systems is made by a transformation to spin variables cr, = 2n, — 1.) In its simplest form a lattice gas model is restricted to the submonolayer regime and to gas-solid systems in which the surface structure and the adsorption sites do not change as a function of coverage. To introduce the dynamics of the system one writes down a model Hamiltonian which, for the simplest system of a one-component adsorbate with one adsorption site per unit cell, is... [Pg.443]

A linear coordinate transformation may be illustrated by a simple two-dimensional example. The new coordinate system is defined in term of the old by means of a rotation matrix, U. In the general case the U matrix is unitary (complex elements), although for most applications it may be chosen to be orthogonal (real elements). This means that the matrix inverse is given by transposing the complex conjugate, or in the... [Pg.310]

The disproportionation reaction destroys the layered structure and the two-dimensional pathways for lithium-ion transport. For >0.3, delithiated Li, AV02 has a defect rock salt structure without any well-defined pathways for lithium-ion diffusion. It is, therefore, not surprising that the kinetics of lithium-ion transport and overall electrochemical performance of Li, tV02 electrodes are significantly reduced by the transformation from a layered to a defect rock salt structure [76], This transformation is clearly evident from the... [Pg.304]

The same reversible appearance and disappearance of the Pt(lll)-(12xl2)-Na overlayer is shown in Figure 5.51, together with the corresponding two-dimensional Fourier-transform spectra and also in Fig. 5.52, which shows smaller areas of the sodium-free and sodium doped Pt(lll) surface. The reversible electrochemically controlled spillover/backspillover of sodium between the solid electrolyte and the Pt(lll) surface is clearly proven. [Pg.262]

We are now ready to derive an expression for the intensity pattern observed with the Young s interferometer. The correlation term is replaced by the complex coherence factor transported to the interferometer from the source, and which contains the baseline B = xi — X2. Exactly this term quantifies the contrast of the interference fringes. Upon closer inspection it becomes apparent that the complex coherence factor contains the two-dimensional Fourier transform of the apparent source distribution I(1 ) taken at a spatial frequency s = B/A (with units line pairs per radian ). The notion that the fringe contrast in an interferometer is determined by the Fourier transform of the source intensity distribution is the essence of the theorem of van Cittert - Zemike. [Pg.281]

The fundamental quantity for interferometry is the source s visibility function. The spatial coherence properties of the source is connected with the two-dimensional Fourier transform of the spatial intensity distribution on the ce-setial sphere by virtue of the van Cittert - Zemike theorem. The measured fringe contrast is given by the source s visibility at a spatial frequency B/X, measured in units line pairs per radian. The temporal coherence properties is determined by the spectral distribution of the detected radiation. The measured fringe contrast therefore also depends on the spectral properties of the source and the instrument. [Pg.282]


See other pages where Two-Dimensional Transformation is mentioned: [Pg.124]    [Pg.428]    [Pg.353]    [Pg.293]    [Pg.100]    [Pg.17]    [Pg.50]    [Pg.218]    [Pg.719]    [Pg.124]    [Pg.428]    [Pg.353]    [Pg.293]    [Pg.100]    [Pg.17]    [Pg.50]    [Pg.218]    [Pg.719]    [Pg.463]    [Pg.636]    [Pg.290]    [Pg.405]    [Pg.145]    [Pg.146]    [Pg.316]    [Pg.414]    [Pg.714]    [Pg.39]    [Pg.40]    [Pg.14]    [Pg.390]    [Pg.68]    [Pg.23]   


SEARCH



© 2024 chempedia.info