Research on the Prediction Model and Formation Law of Drying Cracks of Paddy Based on Multi-Physical Field Coupling

Hongchao Wang, Ziyu Wang, Gang Che (), Lin Wan and Zhengfa Chen
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Hongchao Wang: College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Ziyu Wang: College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Gang Che: College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Lin Wan: College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Zhengfa Chen: College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China

Agriculture, 2025, vol. 15, issue 4, 1-20

Abstract: Cracking in paddy during processing and storage can significantly degrade its quality and economic value. This study elucidates the crack formation law in paddy across various drying stages through experiments and simulations that integrate multiple physical fields. A predictive model for crack occurrence, based on the relationship between the probability of cracking and drying time, is developed by introducing a critical moisture evaporation coefficient to delineate safe regio for cracking. The findings indicate a sharp increase in the percentage of drying cracks during the initial rapid drying phase, with continued escalation through the slower drying phase. The predictive model’s coefficient of determination exceeded 0.85, demonstrating its efficacy in forecasting crack progression. The primary driver for crack initiation and growth was identified as the cumulative effect of the moisture gradient, with the yield stress proving inadequate to counteract the stresses induced by this gradient, leading to cracking in paddy grains. These results furnish valuable insights for accurately predicting and managing crack development in paddy.

Keywords: paddy; crack; multiple physical fields; drying; predictive model; critical moisture evaporation coefficient (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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