陈计远, 王红英, 金楠, 方鹏, 段恩泽, 常楚晨. 饲料原料粉体流动特性预测模型[J]. 农业工程学报, 2019, 35(21): 312-318. DOI: 10.11975/j.issn.1002-6819.2019.21.038
    引用本文: 陈计远, 王红英, 金楠, 方鹏, 段恩泽, 常楚晨. 饲料原料粉体流动特性预测模型[J]. 农业工程学报, 2019, 35(21): 312-318. DOI: 10.11975/j.issn.1002-6819.2019.21.038
    Chen Jiyuan, Wang Hongying, Jin Nan, Fang Peng, Duan Enze, Chang Chuchen. Prediction model of flow properties of feed material powder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(21): 312-318. DOI: 10.11975/j.issn.1002-6819.2019.21.038
    Citation: Chen Jiyuan, Wang Hongying, Jin Nan, Fang Peng, Duan Enze, Chang Chuchen. Prediction model of flow properties of feed material powder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(21): 312-318. DOI: 10.11975/j.issn.1002-6819.2019.21.038

    饲料原料粉体流动特性预测模型

    Prediction model of flow properties of feed material powder

    • 摘要: 为探究粉状饲料原料的流动特性,进而为配料仓、输送设备及混合机的设计和仿真模拟提供依据,减少结拱、鼠洞和堵塞问题,该文分别以3种粉碎筛孔直径(1.5、2.0和2.5 mm)的豆粕和玉米(DDGS distillers dried grains with solubles)为研究对象,采用基于剪切法的粉体流动仪测定了其在不同含水率(10%~14%,湿基)和不同固结应力范围(1~3?kPa)的内聚力,由此表征其流动性的变化,并分析了3个因素对流动性的影响规律,构建了内聚力关于研究变量的预测模型。结果表明:豆粕粉料和DDGS粉料的流动性均受固结应力、含水率和筛孔直径的显著影响,亦受三者交互作用的影响,其中固结应力的影响最为显著,含水率和筛孔直径次之。豆粕粉料的内聚力分别与含水率及固结应力呈非线性正相关,与筛孔直径呈非线性负相关,即豆粕粉体的流动性随含水率及固结应力的增加而变差,随筛孔直径的减小而变差。DDGS粉料表现出类似的规律。豆粕粉料的内聚力在0.113~0.366 kPa范围内变化,DDGS粉料的内聚力变化范围为0.125~0.500 kPa。基于试验数据建立了内聚力关于含水率、固结应力、筛孔直径的多元回归模型(R2>0.957),能够有效预测2种饲料原料的粉体流动特性。研究结果可为粉状饲料原料的储存、运输和混合设备的设计及工艺参数优化提供理论依据。

       

      Abstract: Abstract: In the process of animal feed processing, a large number of powder materials are involved in the process. From the grinding of raw materials to the stock bin, the feeding equipment connecting each process, and the mixing machine, materials are all at the powder state. In the transportation and storage process of powder materials, due to the interaction between particles, problems such as knot arch, rat hole, low flow rate, even blockage will arise. To solve the above problems, it is necessary to explore the flow characteristics of different powders. Select two raw materials that account for a large proportion in the feed formula of livestock and poultry: Soybean meal and corn DDGS. Using respectively equipped with 1.5, 2.0 and 2.5 mm sieve aperture crusher for crushing, obtain the granular powder raw material, the moisture content of raw materials after crushed is about 10%, and after mixing machine, the moisture content is about 14%, so this study powder moisture content (wet basis) gradient is set to 10%, 12% and 14%, respectively. By drying and adding water, obtaining corresponding moisture content of the powder materials. The stress of materials in silos increases with the increase of the height, the consolidation stress range was set as 1-3 kPa based on the stress level of the powder in actual production. This paper chooses three kinds of crushing granularity (shattered screen surface pore size: 1.5, 2.0 and 2.5 mm) of soybean meal and corn DDGS as the research object. Based on the measured shear method of powder flow meter in different moisture content (10% ~ 14%, wet basis) and different consolidation stress(1-3 kPa), explore the characterization of the change of its flowability, and analyzes the three factors on the influence law of liquidity, and build the prediction model of cohesion of research variables. The results showed that the flowability of soybean meal and DDGS powder was significantly affected by consolidation stress, moisture content and particle size, and was also affected by the interaction of the three factors. Consolidation stress was the most significant, moisture content and crushing particle size were the second. With the increase of consolidation stress, the spacing between the particles of soybean meal powder decreased due to compression, which led to the increase of van der Waals force and impeded the movement between the two particles, and thus the flowability of the powder became worse. As the mesh size decreased, the particle size decreased, resulting in more compact powder accumulation, which showed a law of poor flowability. As the moisture content of powder increased, the capillary force between particles increased, thereby increasing the adhesion between particles, thus reducing the flowability of the powder. DDGS powder showed a similar rule. A multiple regression model (R2>0.957) of cohesion on moisture content, consolidation stress and particle size was established based on the experimental data, which could effectively predict the flow characteristics of powder of the two feed materials in the paper. The results provided the theoretical basis for the storage, transportation and mixing process parameters optimization of feed materials powder of raw materials.

       

    /

    返回文章
    返回