What does this research mean for the field?

A mathematical model incorporating variable thermophysical properties and a simplified analytical relationship for the drying coefficient accurately predicts grain heating and drying kinetics with reduced computational complexity. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to develop and identify a mathematical model for grain heating and drying kinetics.

May 17, 2026Energy and automationOpen Access

Features of identification of grain thermal processing

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Authors

RKR. Kalinichenko

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Implication

Randomized trial evaluated grain drying kinetics, suggesting improved energy efficiency and quality control.

Key Points

The aim is to develop and identify a mathematical model for grain heating and drying kinetics.
Used a system of differential equations proposed by O.V. Lykov for a thin grain layer.
Identified model parameters based on experimental data using the inverse problem method.
Simulated numerical results to validate the model against experimental data.
The model showed a high correlation coefficient (R = 0.96–0.99) with experimental data.
Proposed a simplified analytical relationship for the drying coefficient to reduce computational complexity.
Empirical dependences of model coefficients on initial grain moisture content were established.

Cite This Study

R. Kalinichenko (2026) studied this question.

synapsesocial.com/papers/6a095c037880e6d24efe1eef https://doi.org/10.31548/energiya1(83).2026.038

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Features of identification of grain thermal processing

Discussion

Member takes

Implication

Key Points

Cite This Study

Features of identification of grain thermal processing

Discussion

Member takes

Implication

Key Points

Cite This Study

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