长距离铁精矿输送管道优化设计

发布时间：2018-11-16 10:30

【摘要】：浆体管道输送作为第五大输送方式,其输送优势得到了众多工业行业的认可。随着其长距离、高扬程、高浓度的方向发展,虽然相比传统运输方式(汽车、火车等)有不可比拟的优点,但相应的投资费用也十分巨大。本文在分析了国内外的长距离浆体输送设计方法的基础上,认识到了传统设计方法的不足,进而深入研究了长距离铁精矿输送管道优化设计的方案,以期达到减少总费用投资,提高设计效率和设计精度,增加企业的经济效益和社会效益等目的。首先,本文以整个设计周期内的贴现值总费用的最小值为优化设计模型基础,结合浆体输送技术和两相流理论,确定了管道内径、管道壁厚、泵站数和泵站扬程四个设计变量。根据浆体的输送特性,建立了浆体水力摩阻损失、输送流速、泵站特性和管道参数等约束条件,保证了设计模型的完整性。然后,通过对设计变量和约束条件的角度分析,确定了该模型为一个非线性约束离散变量优化问题。经多种求解方法比对后,最终选定遗传算法作为该模型的求解方法。在深入研究遗传算法操作原理的基础上,详细设计了该模型的求解步骤。最后,以国内的某铁精矿为例,拟建了一条长距离铁精矿输送管线,并在Matlab 7.10软件中进行算法程序的编写。从优化结果分析来看:输送管道的工艺参数和经济指标均满足浆体管道工程设计的变化趋势。通过与传统设计方案所求得的管道参数相比管径仅差0.4mm,壁厚相差1.5mm。然后,将最优方案与其他方案的投资费用相比约有103%~160%的经济差别,可以看出优化效果是显著的。从而,验证了本文所建立的模型和求解方法是可行的,其设计精度也完全可以达到初期工程参数设计的要求。本文所建立的长距离铁精矿输送管道的优化设计方法,是首次将智能算法应用到浆体输送管道的工程设计中。该方法不仅可以提高输送技术的可靠性,还可以合理的降低投资成本。并且,结合实例给出了具体的计算流程,为以后的矿浆管道输送设计提供了一定的参考方向。
[Abstract]:Slurry pipeline transportation as the fifth largest transportation mode, its transport advantages have been recognized by many industrial industries. With the development of long distance, high lift and high concentration, compared with the traditional transportation mode (automobile, train, etc.), it has incomparable advantages, but the corresponding investment cost is also very huge. On the basis of analyzing the design methods of long distance slurry transportation at home and abroad, this paper recognizes the shortcomings of the traditional design methods, and further studies the optimization design scheme of the long distance iron concentrate conveying pipeline in order to reduce the total cost investment. Improve the design efficiency and design accuracy, increase the economic and social benefits of enterprises and other purposes. Firstly, based on the minimum of the total cost of the present value in the whole design cycle, combined with the slurry transportation technology and the two-phase flow theory, four design variables of pipeline inner diameter, pipe wall thickness, pump station number and pumping station head are determined. According to the transport characteristics of slurry, the hydraulic friction loss, conveying velocity, pumping station characteristics and pipeline parameters are established to ensure the integrity of the design model. Then, by analyzing the design variables and constraint conditions, it is determined that the model is a nonlinear constrained discrete variable optimization problem. Genetic algorithm is finally selected as the solution method of the model. On the basis of deeply studying the operation principle of genetic algorithm, the solving steps of the model are designed in detail. Finally, taking a domestic iron concentrate as an example, a long distance iron concentrate transportation pipeline is built, and the algorithm program is written in Matlab 7.10 software. From the analysis of the optimization results, it is found that the technological parameters and economic indexes of the transportation pipeline meet the changing trend of the slurry pipeline engineering design. Compared with the traditional design scheme, the pipe diameter is only 0.4mm, and the wall thickness is 1.5mm. Then, comparing the optimal scheme with the investment cost of other schemes, there is an economic difference of about 103% or 160%, which shows that the optimization effect is remarkable. Thus, it is proved that the model and the solution method are feasible, and the design precision can meet the requirements of the initial engineering parameter design. The optimization design method of long distance iron concentrate transportation pipeline established in this paper is the first time that the intelligent algorithm is applied to the engineering design of slurry transport pipeline. This method can not only improve the reliability of transportation technology, but also reduce the investment cost reasonably. In addition, the concrete calculation flow is given in combination with an example, which provides a certain reference direction for the design of slurry pipeline transportation in the future.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD56

【参考文献】