Numerical Simulation of Conjugate Heat and Mass Transfer During Vacuum Freeze-Drying of Mare Milk: Validation and Energy-Optimisation Study

Ayaulym Rakhmatulina1,2

Arshyn Altybay3,4,5, Email

Symbat Satybaldy1,6

1 Department of Mechanical Engineering and Robotics, U. Joldasbekov Institute of Mechanics and Engineering, Almaty, 050000, Kazakhstan

2 Department of Mechanical Engineering, Satbayev University, Almaty, 050000, Kazakhstan

3 Department of Differential Equations, Institute of Mathematics and Mathematical Modeling, Almaty, 050010, Kazakhstan

4 Department of Mathematics: Analysis, Logic and Discrete Mathematics, Ghent University, Ghent, 9000, Belgium

5 Department of Computer Science, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan

6 Departments of Technological Machines and Equipment, Satbayev University, Almaty, 050000, Kazakhstan

Abstract

Vacuum freeze-drying is a preferred method for converting mare’s milk into a shelf-stable powder while retaining its nutritional and sensory qualities. However, the process remains time-consuming and energy-intensive. This study presents a validated three- dimensional numerical model that simulates conjugate heat- and mass-transfer during vacuum freeze-drying under industrially relevant conditions. The governing equations for heat conduction, water-vapour transport (Darcy’s law), and latent-heat removal were solved in COMSOL™ 6.3 using the Deformed Geometry interface to track phase-front motion without remeshing. Simulations were performed on a 50 × 45 × 0.7 cm slab frozen to −50 C, with a shelf temperature of −20 C and chamber pressure rangingfrom 15 to 35 Pa. Validation was conducted in a 0.45 m2 pilot dryer using centre-line temperature measurements and gravimetric moisture-loss data. The model reproduced experimental temperature profiles (R2 = 0.96) and predicted sublimation-front motion within 4% of image-based observations. Thinner samples (3 mm vs. 7 mm) and lower pressures (15 Pa vs. 35 Pa) significantly reduced drying time, though gains diminished below 15 Pa. This model offers a practical framework for optimising freeze-drying conditions and is extendable to other porous food and biopharmaceutical products.