水泥混凝土搅拌设备概率筛防堵技术研究
发布时间:2018-10-20 07:54
【摘要】:概率筛装有多层筛网,能够通过一次筛分作业而得到多个级别粒径的物料。在工业水平不断提升的大背景之下,由于工程施工等相关应用领域的规模不断扩大,筛分机械的需求量也不断提升,其中以概率筛的表现尤为突出。与此同时,大量的工程实践表明,筛分作业当中出现的颗粒堵孔现象是非常普遍的,又因为作业过程的复杂程度,因此堵孔问题的发生很难彻底消除,而本文就是针对概率筛使用过程中的堵孔问题展开深入探讨。首先介绍了概率筛的一般结构形式以及设备的作业机理,对概率筛各方面特性有一个较系统的分析。研究分析了概率筛的筛分性能及其作业参数,如设备振动幅值、作业频率、筛网作业面积、筛机作业效果等,以及各个参数的取值影响因素及其求解公式。其次研究了颗粒的堵孔概率及其影响因素,从筛分过程中颗粒的运动与受力状态的分析入手,在现有理论的基础上建立颗粒堵孔概率的数学模型,同时分析影响堵孔的因素,最后选取一些主要的因素展开试验,得出各因素对堵孔的影响规律,根据试验数据绘制关系曲线。然后针对筛网的清理作业进行探讨,分析清理过程中堵孔颗粒的受力状态,并在此基础上得出影响堵孔颗粒脱孔的因素及规律,同时选取最主要的因素开展清理试验,根据试验数据绘制关系曲线。最后分析并总结了振动筛分作业中减少物料颗粒堵孔的方法以及对筛网进行清理作业的方法,并对不同方法进行分析比较得出各自的优缺点。重点对振动轨迹为直线型以及圆型的作业设备进行了分析,得出这两种振动方式机型的最佳清理时机。根据以上分析结果,为概率筛的后续优化设计提出一些合理建议,对未来的深入研究提供有益的指导。
[Abstract]:The probabilistic sieve is equipped with a multilayer screen, which can obtain multiple particle sizes through a single sieving operation. Under the background of continuous upgrading of industrial level, the demand for screening machinery is also increasing because of the continuous expansion of engineering construction and other related application fields, especially the performance of probability sieve. At the same time, a large number of engineering practices show that the phenomenon of particle plugging in screening operations is very common, and because of the complexity of the operation process, it is very difficult to completely eliminate the problem of pore plugging. This paper is aimed at probabilistic sieve in the use of the problem of hole plugging in depth. Firstly, the general structure of the probability screen and the operation mechanism of the equipment are introduced, and the characteristics of the probability screen are analyzed systematically. The sieving performance and operating parameters of the probabilistic sieve, such as the vibration amplitude of the equipment, the operating frequency, the working area of the screen, the operation effect of the screen machine, and the influence factors of each parameter and its solution formula are studied and analyzed. Secondly, the pore plugging probability and its influencing factors are studied. The mathematical model of particle plugging probability is established on the basis of the existing theories, and the factors that affect the pore plugging are analyzed based on the analysis of particle movement and force state in the process of screening. Finally, some main factors are selected to carry out the experiment, and the influence of each factor on the hole plugging is obtained, and the relationship curve is drawn according to the test data. Then the cleaning operation of screen mesh is discussed, and the stress state of the plugged particles in the cleaning process is analyzed. On the basis of this, the factors and rules that affect the removal of the pore plugging particles are obtained, and the most important factors are selected to carry out the cleaning test at the same time. Draw the curve according to the test data. Finally, the methods of reducing material particle plugging and cleaning the screen are analyzed and summarized, and the advantages and disadvantages of different methods are analyzed and compared. The working equipment with linear and circular vibration trajectory is analyzed, and the optimal cleaning time of these two vibration modes is obtained. Based on the above analysis results, some reasonable suggestions are put forward for the further optimization design of the probabilistic sieve, which provides useful guidance for further research in the future.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TQ051.72
本文编号:2282527
[Abstract]:The probabilistic sieve is equipped with a multilayer screen, which can obtain multiple particle sizes through a single sieving operation. Under the background of continuous upgrading of industrial level, the demand for screening machinery is also increasing because of the continuous expansion of engineering construction and other related application fields, especially the performance of probability sieve. At the same time, a large number of engineering practices show that the phenomenon of particle plugging in screening operations is very common, and because of the complexity of the operation process, it is very difficult to completely eliminate the problem of pore plugging. This paper is aimed at probabilistic sieve in the use of the problem of hole plugging in depth. Firstly, the general structure of the probability screen and the operation mechanism of the equipment are introduced, and the characteristics of the probability screen are analyzed systematically. The sieving performance and operating parameters of the probabilistic sieve, such as the vibration amplitude of the equipment, the operating frequency, the working area of the screen, the operation effect of the screen machine, and the influence factors of each parameter and its solution formula are studied and analyzed. Secondly, the pore plugging probability and its influencing factors are studied. The mathematical model of particle plugging probability is established on the basis of the existing theories, and the factors that affect the pore plugging are analyzed based on the analysis of particle movement and force state in the process of screening. Finally, some main factors are selected to carry out the experiment, and the influence of each factor on the hole plugging is obtained, and the relationship curve is drawn according to the test data. Then the cleaning operation of screen mesh is discussed, and the stress state of the plugged particles in the cleaning process is analyzed. On the basis of this, the factors and rules that affect the removal of the pore plugging particles are obtained, and the most important factors are selected to carry out the cleaning test at the same time. Draw the curve according to the test data. Finally, the methods of reducing material particle plugging and cleaning the screen are analyzed and summarized, and the advantages and disadvantages of different methods are analyzed and compared. The working equipment with linear and circular vibration trajectory is analyzed, and the optimal cleaning time of these two vibration modes is obtained. Based on the above analysis results, some reasonable suggestions are put forward for the further optimization design of the probabilistic sieve, which provides useful guidance for further research in the future.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TQ051.72
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