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Fourier’s law, first

With respect to an individual food piece, the unit operation of freezing involves unsteady-state heat transfer in other words, the temperature of the food changes with time. In these circumstances heat transfer by conduction is described by Fourier s first law... [Pg.89]

The heat flux due to thermal conduction depends on the temperature gradient and the area according to Fourier s first law (Equation 2.3.1-6a) ... [Pg.81]

Mathematically, heat conduction is modeled and quantified by Fourier s first law (Fig. 6.14) ... [Pg.118]

The equation for the one-dimensional steady heat conduction is Fourier s first law, Eq. (3.1.53). For a plane wall with thickness d and a temperature Tj on one side and a lower temperature T2 on the opposite side we obtain ... [Pg.66]

The conduction of heat is related to the thermal gradient VT by Fourier s first law of heat conduction (similar to Pick s first law of diffusion). [Pg.327]

Mutual Diffusivity, Mass Diffusivity, Interdiffusion Coefficient Diffusivity is denoted by D g and is defined by Tick s first law as the ratio of the flux to the concentration gradient, as in Eq. (5-181). It is analogous to the thermal diffusivity in Fourier s law and to the kinematic viscosity in Newton s law. These analogies are flawed because both heat and momentum are conveniently defined with respec t to fixed coordinates, irrespective of the direction of transfer or its magnitude, while mass diffusivity most commonly requires information about bulk motion of the medium in which diffusion occurs. For hquids, it is common to refer to the hmit of infinite dilution of A in B using the symbol, D°g. [Pg.592]

It is empirically known that a linear relation exists between a potential gradient or the force X and the conjugate flux J, and the laws of Ohm, Fourier, and Pick s first law for electrical conduction, thermal conduction, and diffusion, respectively, within a range of suitably small gradients ... [Pg.119]

Fick first recognized the analogy among diffusion, heat conduction, and electrical conduction and described diffusion on a quantitative basis by adopting the mathematical equations of Fourier s law for heat conduction or Ohm s law for electrical conduction [1], Fick s first law relates flux of a solute to its concentration gradient, employing a constant of proportionality called a diffusion coefficient or diffu-sivity ... [Pg.41]

Heat conduction is described by Fourier s law and diffusion by Fick s first law ... [Pg.47]

Here Dt is a positive proportionality constant ( diffusion constant for Et), Jfz is z-ward flow induced by the gradient, and superscript e denotes eigenmodt character of the associated force or flow. The proportionality (13.25) corresponds to Fick s first law of diffusion when Et is dominated by mass transport or to Fourier s heat theorem when Et is dominated by heat transport, but it applies here more deeply to the metric eigenvalues that control all transport phenomena. In the near-equilibrium limit (13.25), the local entropy production rate (13.24) is evaluated as... [Pg.433]

The quantitative study of diffusion started in 1850-1855 with the works of Adolf Fick and Thomas Graham. From the conclusion of his studies, Fick understood that diffusion obeys a law isomorphic to the Fourier law of heat transfer [17]. This fact allowed him to propose his first equation in order to macroscopically describe the diffusion process, that is, Fick s first law ... [Pg.219]

Familiar examples of the relation between generalized fluxes and forces are Fick s first law of diffusion, Fourier s law of heat transfer, Ohm s law of electricity conduction, and Newton s law of momentum transfer in a viscous flow. [Pg.221]

In these equations T is the temperature, p the mass density, iua the mass fraction of species A. and o,v the. r-component of the fluid velocity vector. The parameter k is the thermal conductivity, D the diffusion coefficient for species A. and / the fluid viscosity from experiment the values of these parameters are all greater than or equal to zero (this is. in fact, a requirement for the system to evolve toward equilibrium). Equation 1.7-2 is known as Fourier s law of heat conduction, Eq. 1.7-." is called Pick s first law of diffusion, and Eq-. 1.7-4 is Newton s law of viscosity. [Pg.28]

We turn first to computation of thermal transport coefficients, which provides a description of heat flow in the linear response regime. We compute the coefficient of thermal conductivity, from which we obtain the thermal diffusivity that appears in Fourier s heat law. Starting with the kinetic theory of gases, the main focus of the computation of the thermal conductivity is the frequency-dependent energy diffusion coefficient, or mode diffusivity. In previous woik, we computed this quantity by propagating wave packets filtered to contain only vibrational modes around a particular mode frequency [26]. This approach has the advantage that one can place the wave packets in a particular region of interest, for instance the core of the protein to avoid surface effects. Another approach, which we apply in this chapter, is via the heat current operator [27], and this method is detailed in Section 11.2. [Pg.249]

Analogous to Newton s law of momentum transport and Fourier s law of heat transfer by conduction. Pick s first law for mass transfer by steady-state equimolar diffusion, is... [Pg.69]

You are likely already familiar with many of the simple direct force/flux pair relationships that are used to describe mass, charge, and heat transport—they include Pick s first law (diffusion). Ohm s law (electrical conduction), Fourier s law (heat conduction), and Poiseuille s law (convection). These transport processes are summarized in Table 4.1 using molar flux quantities. As this table demonstrates. Pick s first law of diffusion is really nothing more than a simplification of Equation 4.7 for... [Pg.88]

Two other relationships have the same form as Pick s first law Fourier s law sa> s that heat flow is proportional to the gradient of the temperature, and Ohm s law says that the flow of electrical current is proportional to the gradient of the voltage (see Chapter 22). [Pg.317]

As with Fourier s Law, Pick s First Law has three components and is a vector, Because of this there are many analogies between heat and mass transfer as we will see later in the text. Units of the molar flux are lb moles/hr ft, g mole/sec cm, and kg mole/sec m. ... [Pg.5]

As was shown earlier, each of the three transport processes is a function of a driving force and a transport coefficient. It is also possible to make the equations even more similar by converting the transport coefficients to the forms of dif-fusivities. Pick s First Law [equation (1-9)] already has its transport coefficient (Dab) in this form. The forms for Fourier s Law [equation (1-7)] and Newton s Law of Viscosity [equation (1-8)] are... [Pg.19]

Transport of heat by conduction, and of matter by diffusion, follows analogous mathematical principles, namely Fourier s law of heat conduction and Fick s first law of diffusion. Both are differential equations. If we simplify the problem and start with the one-dimensional form, we consider two ordinary differential equations. [Pg.74]

The constant of proportionality D is called the diffusion coefficient, which is expressed in m s , c is the concentration in m and hence / is expressed in m s . The negative sign in this expression indicates that the direction of diffusion is opposite to the concentration gradient. This means that diffusion happens from a high- to a low-concentration region. This relationship between concentration gradient and flux is called Pick s first law and is formally identical to the Fourier law that relates thermal flux to temperature gradient. [Pg.385]

To use Fourier s law of heat conduction, a thermal balance must first be constructed. The energy balance is performed over a thin element of the material, x to x + Ax in a rectangular coordinate system. The energy balance is shown in equation 13 ... [Pg.704]


See other pages where Fourier’s law, first is mentioned: [Pg.260]    [Pg.30]    [Pg.30]    [Pg.328]    [Pg.260]    [Pg.30]    [Pg.30]    [Pg.328]    [Pg.703]    [Pg.185]    [Pg.183]    [Pg.128]    [Pg.341]    [Pg.341]    [Pg.139]    [Pg.316]    [Pg.223]    [Pg.103]    [Pg.710]    [Pg.9]   
See also in sourсe #XX -- [ Pg.29 ]




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