2025年小黑麦的水分含量对麦子自热以及筒仓舱壁压力的影响.docx

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Int. Agrophysics, , 15, 247-254
INTERNATIONAL
Agrophysics
-agrophysics
Effect of the triticale grain moisture content on the spontaneous heating of grain and on the pressure against the silo wall
E. Kusinska
Department of Engineering and Machinery,University of Agriculture, Doswiadczalna 44, 20-236 Lublin
Received October 9, ; accepted May 29,
author presents the results of studies on the temperature and horizontal pressure of triticale grain in a model silo. The studies included grain with an initial moisture content of 13, 16 and 18% . The grain storage duration was 25 days. The study showed that grain temperature is affected by its initial moisture content. The highest temperature values were observed in grain with an initial moisture content of 18% . Also, a higher initial moisture content results in greater increases in pressure.
Keywords: triticale, moisture content, silo, heating
INTRODUCTION
Temperature and moisture content are the most important factors affecting grain quality in the course of its storage. Seasonal and diurnal variation in temperature have a negative effect on stored grain, cause water migration and changes in its distribution within the material stored. The accurate prediction of moisture content and the temperature of grain in storage is necessary for the effective control of the process of ventilation, applied to provide optimum storage conditions for grain and the minimizing of conditions for infestation by insects [2].
The free migration of water depends on a number of factors -the kind and quality of grain in storage, the size and shape of the grain, its temperature, initial moisture content, and atmospheric conditions. It also depends on the duration of storage, as well as on the sorptive and diffusive properties of the grain. Those factors cause the process of water migration to be unstable. Water tends to migrate from warmer to cooler areas within grain mass. The migration rate is faster in grain with a higher moisture content than in dry grain [10].
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EFFECTS OF WATER MIGRATION IN PLANT MATERIALS
Numerous authors have tried to describe the phenomenon of water migration. Holman and Carter [10] studied the process in over a dozen soybean varieties with different bean sizes. They showed that water migration takes place in all soybean varieties, which results from water accumulation in higher layers of material in storage. Schmidt [19] conducted experiments involving measurements of the wheat grain moisture content during storage. He found that water migration generally begins in the second half of September or at the beginning of October.
Hellevang and Hirning [9] performed a study on 16 varieties of beans of various sizes during the period from April to August. They observed an average moisture content drop by % in the upper layer and a % increase in the layer located to m below.
Knowledge of changes occurring in the course of cereal grain storage is very important for practical purposes. The application of a suitable model for the calculation and determination of the quantitative and qualitative distribution of water and temperature within the grain mass in storage, the grain being a commercial commodity, can help the proper storage of various cereals under a variety of climatic conditions.
A numerical model for the calculation of water migration within grain mass in storage has been developed by Khankari [11]. He derived non-linear equations describing the temperature, moisture and rate of free convection, using current weather data. The numerical model for the calculation of water migration was used for the calculation of temperature and moisture distribution in grain, for conditions prevalent in Minnesota. The model was based on the assumption that natural air convection is the prevalent phenomenon within grain mass. The mathematical model was then tested experimentally [13]. For the tests, Khankari used a cylindrical silo, 10 m high and 10 min diameter, in which he stored maize grain with an average moisture content of 14% at an average temperature of 25°C for the period of one year, beginning from October, without ventilation. Values of thermal conductivity calculated by means of the model conformed to the results of the experiment. Khankari et al. [12] also gave the values of the other parameters of diffusion for maize grain. They found that water migration increases with increasing temperature. During the initial period of storage, ., during the autumn rainy period and early winter, water migration is limited to areas close to the silo walls. The effect of natural convection on water flow appears at the end of December and at the beginning of January, when temperatures reach the maximum levels. Therefore, water migration rate is the fastest in winter. The studies showed that the increased thermal conductivity of grain has a limiting effect on natural air convection, and that water migration takes place in silos of all sizes, though it begins earlier in smaller silos. Cooling the grain down to
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0°C in the autumn permits its moisture content to be kept stable throughout the year.
Lo et al. [17] used Chen's and Clayton's equation for the simulation of radial changes in the moisture content of wheat grain stored in a concrete silo. The equation was based on the assumption that moisture content changes are only related to temperature.
Thompson [20] and Fan et al. [3] were involved with modeling the process of ventilation. Thompson [20] developed a model representing temperature changes of grain in storage, its moisture content, and dry mass distribution. He arrived at the conclusion that a true balance between the air and the grain is possible to maintain when the grain is ventilated with ambient air at low flow rates.
Fan et al. [3] studied water diffusion in various varieties of wheat. They found that the coefficient of water diffusion in wheat grain can be expressed in the form of an opposite to the exponential function of absolute temperature, and the coefficient does not change its value for hard wheat within the temperature range of 26-54°C. They determined the coefficients of diffusion for several wheat varieties within a temperature range from 26 to 98°C. The values spanned a range from2x10-12 to 245 x 10-12 m s-1, depending on the temperature and the wheat varieties.
Chang et al. [2] maintain that the average moisture content of grain stored during time t + △t is:
Wu=W0+(H0-Hu)Mr (1)
where: Wu -average moisture content in the grain layer, final or subsequent simulation for △t period, kg kg-1 (decimal, .); W0 -moisture content, initial or prior to simulation for △t period, kg kg-1 (decimal, .); H0 -humidity ratio of ambient air, kg kg-1; Hu -humidity ratio of air leaving the grain layer, kg kg-1; Mr -mass ratio of inlet air to the dry grain during △t.
Chang et al. [1] studied wheat grain with an initial moisture content of %, stored in silos m high and in diameter. On the basis of the studies, they concluded that the simulation values of the grain moisture content coincided with the gain moisture values measured during a period of 15 months and that the moisture content in the layer close to the surface decreased by 2 to % during the summer months, while in the central and bottom parts of the silos, the changes in grain moisture content were only slight.
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Modeling of temperature and the moisture content of rice stored in silos was the subject of interest for Freer [4], and Haugh et al.[8]. Haugh et al. [8] conclude that grain temperature is the most important parameter in grain storage and should be maintained at 10-15°C irrespective of the broad range of the grain moisture content levels. According to those authors, grain temperature is the most significant, though grain moisture content is also very important.
According to Freer et al. [4], the air temperature around the silo should be known in order to calculate the temperature differences between the grain in the silo and the ambient temperature. They presented equations for the calculation of the mean diurnal temperature for the year, taking into account the latitude, and for the determination of the moisture content of unpolished rice, as well as of dry mass losses. The experimental part of their study was performed by mans of a two-dimensional model which they used to analyze changes in temperature and moisture content, the level of dry mass losses, and the level of water condensation. In their study they used initial grain temperatures of 10, 20 and 30°C, moisture content levels of 11, 13 and 15%, and three charging times. In the test program they assessed the initial temperature of grain, the initial grain moisture content, and the charging time (the time of filling the silo with grain). Observations were conducted for 12 months. The charging time was found to have had little effect on the parameters under study. Relatively high losses of dry mass were observed at grain temperature of 30°C at 15% initial moisture content. High initial temperatures and moisture content levels had a significant effect on water migration towards the top of the silo, which means that the top area is more conducive to the grain turning bad and to increased microbial activity.
Increased grain temperature causes an increase in the pressure exerted by grain on the walls and bottom of silos. The effect of the properties of the material stored (sand, shelled maize, wheat, and sorghum) on lateral pressures induced thermally were studied by Puri et al. [18]. The results of the experiments indicate that thermally induced stress in storage tanks depends on the bulk density of the material stored. To calculate the thermal overpressure (Pt) as a function of temperature drop (△T) they used linear equations:
Pt=Cp(△T) (2)
where Cp-thermal pressure coefficient (kPa℃-1).
Zhang et al. [21,23,25] improved the model for the prediction of loads in silos caused by thermal phenomena in the course of grain storage. The new model was developed using finite element analysis. It was based on the elastoplastic theory developed by Lade [14] and Zhang et al. [22]. The theoretical results were tested by the authors experimentally, by measuring the thermally induced stress in the casing of a cylinder made of aluminum sheeting
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mm thick ( m in diameter and m high) and filled with wheat grain. In their experiments they applied three full temperature change cycles within the range of 32-22℃. Stress values were measured at three levels. The authors studied the effect of the cycle order and temperature change on the coefficient of lateral pressure Cp. The mean, for the three levels, increase in pressure, with dropping temperature, was kPa ℃-1 in the first cycle, kPa ℃-1 in the second, and kPa ℃-1 in the third, while with increasing temperature the corresponding values were , and kPa ℃-1, respectively. The authors concluded that the relationship between the lateral thermal pressure and the temperature change was linear, and that the pressures during temperature increase were , and % higher than in the case of the dropping temperature in the first, second and third cycles, respectively.
Another model of granular material in storage, which took into account loads induced by silo walls, as well as the silo wall-grain and silo bottom-grain interfaces, was presented by Zhang et al. [25]. That model did not reflect changes in tempera