新型氮爆式液压打桩锤的仿真研究

液压打桩锤是一种新型的打桩设备,其动态性能的好坏直接影响打桩质量及打桩效率;在分析新型氮爆式液压打桩锤工作原理的基础上,建立桩锤上升和下降阶段的数学模型;并对同一控制压力、不同氮气初始压力下的几种工况进行仿真,通过对比、分析,确定该控制压力下的最佳氮气初始压力;为开发液压打桩锤产品和优化桩锤参数提供理论依据.     

一种新的基于可拓理论的工业过程生产操作方法(英文)

To explore the problems of dynamic change in production demand and operating contradiction in production process, a new extension theory-based production operation method is proposed. The core is the demand requisition, contradiction resolution and operation classification. For the demand requisition, the deep and comprehensive demand elements are collected by the conjugating analysis. For the contradiction resolution, the conflict between the demand and operating elements are solved by the extension reasoning, extension transformation and consistency judgment. For the operating classification, the operating importance among the operating elements is calculated by the extension clustering so as to guide the production operation and ensure the production safety. Through the actual application in the cascade reaction process of high-density polyethylene (HDPE) of a chemical plant, cases study and comparison show that the proposed extension theory-based production operation method is significantly better than the traditional experience-based operation method in actual production process, which exploits a new way to the research on the production operating methods for industrial process.     

降低精对苯二甲酸溶剂系统醋酸消耗的研究

Decreasing the acetic acid consumption in purified terephthalic acid （PTA） solvent system has become a hot issue with common concern. In accordance with the technical features, the electrical conductivity is in direct proportion to the acetic acid content. General regression neural network （GRNN） is used to establish the model of electrical conductivity on the basis of mechanism analysis, and then particle swarm optimization （PSO） algorithm with the improvement of inertia weight and population diversity is proposed to regulate the operating conditions. Thus, the method of decreasing the acid loss is derived and applied to PTA solvent system in a chemical plant. Cases studies show that the precision of modeling and optimization are higher. The results also provide the optimal operating conditions, which decrease the cost and improve the profit.