Introduction & Context

Fourier's Second Law, also known as the heat diffusion equation, describes the time-dependent distribution of temperature in a medium. In process engineering, this calculation is critical for analyzing unsteady-state heat transfer, where temperatures change over time rather than reaching a steady state. This is particularly vital in applications such as the quenching of metal components, the sterilization of food products in autoclaves, and the thermal processing of polymers. By predicting the temperature profile within a solid, engineers can ensure material integrity, optimize cycle times, and prevent thermal stress-induced failures.

Methodology & Formulas

The calculation utilizes the one-term approximation for a plane wall subjected to a constant surface temperature (equivalent to an infinite Biot number). This approach simplifies the infinite series solution of the heat equation, which is valid for sufficiently large values of the Fourier number.

The dimensionless temperature ratio, θ, is defined as:

\[ \theta = \frac{T(z, t) - T_{\infty}}{T_i - T_{\infty}} \]

The Fourier number (Fo), which characterizes the ratio of the rate of heat conduction to the rate of thermal energy storage, is calculated as:

\[ Fo = \frac{\alpha t}{L_c^2} \]

The temperature at a specific position z and time t is determined by the following one-term approximation:

\[ \theta = C_1 \exp(-\zeta_1^2 Fo) \cos\left(\zeta_1 \frac{z}{L_c}\right) \]

Where the constants for a plane wall with constant surface temperature are defined as:

\[ \zeta_1 = \frac{\pi}{2} \] \[ C_1 = \frac{4}{\pi} \]
Parameter Condition/Threshold Engineering Significance
Fourier Number (Fo) Fo < 0.2 Approximation is inaccurate; higher-order terms are required.
Fourier Number (Fo) Fo ≥ 0.2 One-term approximation is valid for engineering estimates.
Biot Number (Bi) Bi → ∞ Assumes negligible surface convection resistance (constant surface temperature).