Industrial-scale dynamic characterization and apparent heat-transfer calibration of a rotary drum dryer using passive operational data

Rotary dryers are critical in tobacco primary processing, where outlet moisture must be tightly controlled for product quality. We characterize a KLD-2 industrial rotary drum dryer using 1.5 years of 1 Hz passive plant data (5.53 million rows; 905 stable batches). Cross-correlation of the within-batch demeaned signals identifies a dominant delay of 171 s between the drum wall temperature and the outlet moisture, interpreted as a combined transport–thermal–mass-transfer lag rather than a pure transport delay. An inverse energy balance calibrates an apparent overall heat-transfer coefficient UA=2.83 kW/K (95% interval 2.74–2.91), corresponding to U≈41.7 W·m−2·K−1, within the range reported for indirectly heated rotary dryers, and the calibrated steady-state gain (−0.086 %/°C) is reproduced by the mechanistic energy balance. Under a strict chronological train/test split, a parsimonious ridge model is best or tied-best at all horizons from 30 to 480 s (RMSE 0.037–0.050%); deep sequence networks approach but do not exceed it. The results are explained by the low variance, high autocorrelation and noise-floor-bounded nature of closed-loop production data, and provide engineering-grade parameters for dryer control and soft sensing.

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Publication Details

Journal
Drying Technology
Published
2026-10-29
DOI
https://doi.org/10.1080/07373937.2026.2754141
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
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article

Industrial-scale dynamic characterization and apparent heat-transfer calibration of a rotary drum dryer using passive operational data

Jie Liu, Jun Xia, Lan Fang, Ruihan Guo et al.
Drying Technology
Food Drying and Modeling
article

Industrial-scale dynamic characterization and apparent heat-transfer calibration of a rotary drum dryer using passive operational data

Jie Liu, Jun Xia, Lan Fang, Ruihan Guo, Changrong Sun, Liang Huang
article en

Abstract

Rotary dryers are critical in tobacco primary processing, where outlet moisture must be tightly controlled for product quality. We characterize a KLD-2 industrial rotary drum dryer using 1.5 years of 1 Hz passive plant data (5.53 million rows; 905 stable batches). Cross-correlation of the within-batch demeaned signals identifies a dominant delay of 171 s between the drum wall temperature and the outlet moisture, interpreted as a combined transport–thermal–mass-transfer lag rather than a pure transport delay. An inverse energy balance calibrates an apparent overall heat-transfer coefficient UA=2.83 kW/K (95% interval 2.74–2.91), corresponding to U≈41.7 W·m−2·K−1, within the range reported for indirectly heated rotary dryers, and the calibrated steady-state gain (−0.086 %/°C) is reproduced by the mechanistic energy balance. Under a strict chronological train/test split, a parsimonious ridge model is best or tied-best at all horizons from 30 to 480 s (RMSE 0.037–0.050%); deep sequence networks approach but do not exceed it. The results are explained by the low variance, high autocorrelation and noise-floor-bounded nature of closed-loop production data, and provide engineering-grade parameters for dryer control and soft sensing.

Drying Technology
University of Electronic Science and Technology of China (CN), China Tobacco (CN)
Openalex Percentile: Top 16%
Food Drying and Modeling
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