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Temperature-dependent thermal diffusivity of cupuassu pulp: Mathematical modeling and experimental validation
Jhony T Teleken1, Brenda Sm Barboza1, Suélen M de Amorim1
1Faculty of Chemical Engineering, Federal University of Southern and Southeastern Pará, Marabá, PA, Brazil.
This study determined the thermal diffusivity of cupuassu pulp using an inverse method. A power-law model accurately predicted heat transfer during thermal processing, crucial for food engineering.
Area of Science:
- Food Science and Technology
- Thermodynamics
- Heat Transfer Engineering
Background:
- Cupuassu (Theobroma grandiflorum) pulp is a valuable Amazonian product.
- Understanding its thermophysical properties, especially thermal diffusivity, is key for effective heat treatment design.
Purpose of the Study:
- To determine the thermal diffusivity of cupuassu pulp using experimental data and an inverse method.
- To evaluate different models for temperature-dependent thermal diffusivity.
Main Methods:
- Heating cupuassu pulp in an aluminum capsule and measuring central temperature.
- Employing a 2D transient heat conduction model with Dirichlet boundary conditions.
- Estimating thermal diffusivity (α) via finite difference method and RMSE minimization.
- Iteratively updating α and comparing constant, square-root, linear, and power-law models.
Main Results:
- Temperature-dependent models significantly improved predictive performance.
- The power-law model, α(T) = A + BT^(3/2), provided the best fit with RMSE ≈ 0.1°C.
- The derived α model demonstrated robustness through validation with independent datasets.
Conclusions:
- The power-law model accurately describes the temperature dependence of cupuassu pulp's thermal diffusivity.
- This finding is essential for optimizing thermal processing and ensuring quality in cupuassu-based products.
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