With the increase in the computational power, numerical simulations play an increasing role
in designing, development, and optimization of various food processing operations. Inverse …

Inverse heat techniques have been employed to evaluate the unknown parameters such as
heat transfer coefficient, thermal properties, mass diffusivity, and to estimate boundary …

A d-optimum criterion is applied to the three-layer apparatus used for simultaneously
estimating thermal properties (for example, thermal conductivity and effusivity) through the …

Inverse heat transfer is a more efficient method for estimating unknown quantities of variable
interest. The aim of present research work is to successfully predict the energy consumption …

Simultaneous estimation of thermal properties can be challenging, especially when the
parameters are temperature-dependent. Previous research has shown that by using a …

Abstract A two-dimensional (2D) transient thermal conduction problem is examined, and
numerical solutions to the problem generated by ansys and matlab, employing the finite …

Thermal conductivity determination of food at temperatures> 100° C still remains a
challenge. The objective of this study was to determine the temperature-dependent thermal …

An uncertainty quantification (UQ) analysis was conducted for the unsteady Reynolds
Average Navier Stokes Simulation (URANS) of the OECD-NEA cold leg mixing benchmark …

The American Association of State Highway and Transportation Officials (AASHTO) Ware
Pavement–Mechanistic-Empirical (ME) transfer functions need local calibration for reliable …

Thermal properties are critical parameters to design and implement efficient thermal
processes especially for food manufacturing. Current methods to measure temperature …