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Rate state models

B. Relation to Prandtl Tomlinson and Rate State Models... [Pg.188]

Rate-state models assume that the friction depends on the rate and a small number of state variables that describe the properties of the interface. Different physical interpretations of the microscopic properties that these state variables describe have been proposed, such as the amount of dilation at the interface [46] or the degree of crystallinity of an intervening film [47,48]. Most approaches leave the nature of the state variable unspecified and merely assume that it depends on some average of recent velocities [49 51]. The coefficients of... [Pg.195]

A simple rate-state model that describes dry sliding friction between rocks, plastics, wood, and many other rough materials [33,52,53] was proposed by Dieterich [50] and developed by Ruina [51]. The instantaneous friction coefficient is written as... [Pg.196]

Physisorbed molecules also provide a natural explanation for the logarithmic increase in kinetic friction with sliding velocity that is observed for many materials and represented by the coefficient A in the rate-state model of Eq. (5). Figure 16 shows calculated values of tq and a as a function of log for a sub monolayer of chain molecules between incommensurate surfaces [195]. The value of To becomes independent of v at low velocities. The value of a, which... [Pg.243]

As discussed in Section I.D, the dependence of friction on past history is often modeled by the evolution of a state variable (Eq. 6) in a rate-state model [50,51]. Heslot et al. [53] have compared one such model, where the state variable changes the height of the potential in a finite-temperature PT model, to their detailed experimental studies of stick-slip motion. They slid two pieces of a special type of paper called Bristol board and varied the slider mass M, pulling... [Pg.249]

The brute-force method of control based on a harmonic modulation of the normal load L t) has been studied within various approaches that include the generalized Tomlinson model [245], one-dimensional rate-state models... [Pg.257]

Markov modeling is a technique for calculating system reliability as exponential transitions between various states of operability, much like atomic transitions. In addition to the use of constant transition rates, the model depends only on the initial and final states (no memory). [Pg.48]

The idea of the activated complex was developed by, among others, Henry Eyring at Princeton in the 1930s. It forms the basis of the transition-state model for reaction rate, which assumes that the activated complex—... [Pg.300]

The Coleman-Fox two state model describes the situation where there is restricted rotation about the bond to the preceding unit (Scheme 4.3). If this is slow with respect to the rate of addition, then at least two conformations of the propagating radical need to be considered each of which may react independently with monomer. The rale constants associated with the conformational equilibrium and two values of Pirn) are required to characterize the process. [Pg.172]

Only true rate constants (i.e., those with no unresolved concentration dependences) can properly be treated by the Arrhenius or transition state models. Meaningful values are not obtained if pseudo-order rate constants or the rates themselves are correlated by Eq. (7-1) or Eq. (7-2). This error is found not uncommonly in the literature. The activation parameters from such calculations, A and AS in particular, are meaningless. [Pg.160]

The rate model contains four adjustable parameters, as the rate constant k and a term in the denominator, Xad, are written using the Arrhenius expression and so require a preexponential term and an activation energy. The equilibrium constant can be calculated from thermodynamic data. The constants depend on the catalyst employed, but some, such as the activation energy, are about the same for many commercial catalysts. Equation (57) is a steady-state model the low velocity of temperature fronts moving through catalyst beds often justifies its use for periodic flow reversal. [Pg.238]

The decay of benzene from the S2 state under collision-free condition has also been studied. J. P. Reilly and co-worker studied the nanosecond UV laser induced multiphoton ionization/fragmentation processes. The rate equation model was used for the simulation and the lifetime of the second excited singlet state was estimated to be 20 ps.19 More recently the... [Pg.179]

Han (H3) and Han and Wilenitz (H4) have also presented steady-state models of fertilizer granulators based on population balance on the granules in the process loop operating in the snowballing mode. From the viewpoint of process control some interesting interrelationships between various recycle ratios, crusher speed, crusher product size, and the granule growth rate have been established. [Pg.112]

Singhal, N. Snow, C. D. Pande, V. S., Using path sampling to build better Markovian state models predicting the folding rate and mechanism of a tryptophan zipper beta hairpin, J. Chem. Phys. Jul 2004,121, 415—425. [Pg.501]

Chemical reactivity differences may be calculated if for the transition state of a rate-determining step of a reaction a structural model can be given which is describable by a force field with known constants. We give only two examples. Schleyer and coworkers were able to interpret quantitatively a multitude of carbonium-ion reactivities (63, 111) in this way. Adams and Kovacic studied the pyrolysis of 3-homoadamantylacetate (I) at 550 °C and considered as transition state models the two bridgehead olefins II and III (112). From kinetic data they estimated II to be about 2 kcal mole-1 more favourable than III. [Pg.207]

A plot of the initial reaction rate, v, as a function of the substrate concentration [S], shows a hyperbolic relationship (Figure 4). As the [S] becomes very large and the enzyme is saturated with the substrate, the reaction rate will not increase indefinitely but, for a fixed amount of [E], it reaches a plateau at a limiting value named the maximal velocity (vmax). This behavior can be explained using the equilibrium model of Michaelis-Menten (1913) or the steady-state model of Briggs and Haldane (1926). The first one is based on the assumption that the rate of breakdown of the ES complex to yield the product is much slower that the dissociation of ES. This means that k2 tj. [Pg.335]

Simple steady-state models may be used in order to relate quantitatively the mean concentration in the lake water column and the residence time of metal ions to the removal rate by sedimentation (for a detailed treatment of lake models see Imboden and Schwarzenbach, 1985). In a simple steady-state model, the inputs to the lake equal the removal by sedimentation and by outflow the water column is considered as fully mixed mean concentrations and residence times in the water column can be derived from the measured sedimentation fluxes. The binding of metals to the particles is fast in comparison to the settling. [Pg.391]


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