计算机辅助设计中浓淡曲线的设计

本文介绍利用Super Frame软件进行色彩浓淡设计的原理、方法和步骤。据此原理和方法,使用C语言设计开发出了应用实例——折线浓淡分布曲线。     

定向爆破拆除高危烟囱的实践

通过对已产生纵向裂缝、倾斜和基部风化剥蚀严重的高危烟囱的定向（向倾斜相反方向）倒塌爆破实践表明：设计中选用爆破参数及施工措施是有效的。     

Phase equilibria of quasi-binary systems consisting of multicomponent polymers 1 and 2. IV: Poly(ethylene oxide)/poly(propylene oxide) systems

To confirm the reliability of the theory of phase equibria of multicomponent polymer 1/multicomponent polymer 2 systems (i.e. quasi-binary systems) and the method of computer experiment based on this theory (Brit. Polym. J., 23 (1990)285; 23 (1990)299; Polym. Int., 29 (1992)219), could point curves (CPC), two-phase volume ratios ( R ) and critical solution points (CSP) have been determined experimentally for the quasi-binary mixtures of poly(ethylene oxide) (M¯_w = 647, M¯_w/M¯_n = 1.15; M¯_w and M¯_n, the weight-average and numberaverage molecular weights, respectively) and poly(propylene oxide) (M¯_w = 2028, M¯_w/M¯_n = 1.08; and M_w = 2987, M_w/M_n = 1.13). The hydroxyl end groups of both polymers were methoxylated in advance by the Cooper & Booth method (Polymer, 18 (1977)164). The thermodynamic interaction parameter between both polymers, χ₁₂, and the concentration dependence parameters for the above quasi-binary systems were determined by the method proposed in a previous paper (Brit. Polym. J., 23 (1990)299). CPC, R and CSP values calculated on the basis of the theory are in good agreement with the values determined experimentally.     

Geometry-Dependent R-Curve for Quasi-Brittle Materials

Fracture of quasi-brittle materials such as ceramics and cement-based materials can be described by an R -curve, defined as fracture resistance. The R -curve can be constructed as the envelope of the strain energy release rates ( G ). In this study, R -curve is defined as an envelope of G -curves obtained by varying the dimensions of identical specimens, while keeping the geometry and the initial flaw size constant. By approximating the G -curve with a second-order function of the crack length, a simple formulation of the R -curve is derived by solving a differential equation. Three parameters are needed for the proposed R -curve. These parameters can be obtained by testing a notched-beam specimen and using linear elastic fracture mechanics. The proposed R -curve simulates well the geometry dependency as well as other characteristics of the fracture response of quasi-brittle materials.     

塔巴庙区块气层录井参数分析研究

塔巴庙区块气藏属于低压、低渗气藏,储集层物性差异大、含气级别高,但含气非均质性强,录井解释评价困难。针对这一问题,开展了综合判断储集层物性和含气性方面的研究,分别探讨了钻时与全烃、钻井液性能与全烃、钻井液粘度与全烃、气测显示与测井参数和烃组分与气显示之间的关系,分析了其相关性及其在塔巴庙区块气层解释评价中的意义及作用。通过相关性研究,不但摸索出定性解释评价气层的方法,同时为今后深入研究录井相关参数关系,探索其内在规律,为实现准确解释评价储集层奠定了基础。     

气体悬浮焙烧炉内衬烘炉曲线的确定

根据所使用的低水泥浇注料的性能，对中铝山西分公司检修厂4号焙烧炉制定了合理的烘烤曲线，提高了耐火内衬的质量，延长了内衬的使用寿命。     

提高中高含水期油井压裂经济效益的方法

为提高葡北油田中高含水期油井压裂经济效益，合理选择压裂井层尤为重要。应用水驱特征曲线预测出油井压裂前可采储量，从而计算出剩余可采储量及可采储量采出程度，通过绘制油井压裂前剩余可采储量及可采储量采出程度与油井压裂后所创经济效益之间关系曲线，寻找出相关规律，进行优选压裂井，再根据精细地质研究成果，在剩余油富集区选择具体压裂层位。经实际应用，取得了较好效果，提高了油井压裂方案符合率，提高了经济效益，进而总结出一套适合葡北油田中高含水期油井压裂选井选层方法，对今后进一步搞好油井压裂增产工作具有指导意义。     

Computer aided kinetic modeling with KMT and KME

The complexity of many chemical and refining reaction systems and the thus-derived tedious and time-consuming process of building the associated kinetic models have been major obstacles in the use of fundamental kinetics in the solution of chemical engineering problems. This review summarizes work aimed at removing theses obstacles. Our recent work that has led to the enhancement of the Kinetic Modeler's Toolbox (KMT) and the development of the Kinetic Model Editor (KME) presents an end-to-end solution to the kinetic modeling process, including automated feedstock modeling, reaction network construction, kinetic rate estimation, model programming, process system configurations, model customizations, compilations, model execution and results analysis.     

1270轧机弹性曲线的回归及参数估计

首先介绍了轧机弹性曲线的基础知识及 1 2 70轧机AGC系统的基本结构 ,然后论述了数据采集的方法 ,最后根据最小二乘法得到轧机弹性曲线的回归模型及刚度系数的实验结果。     

Step response classification for model-based autotuning via polygonal curve approximation

A model-based autotuning method consists of an identification and a regulator tuning phase. To achieve satisfactory performance and robustness, it is advisable that both phases be tailored a priori to the characteristics of the observed process dynamics. Such characteristics include, but are not limited to, the model structure. For example, overdamped and underdamped models with the same pole-zero structure are parametrised and controlled in different ways. Step response data, that are typically used for the identification phase in the autotuning context, can also be pre-processed to reveal those characteristics. This paper presents a step response classification method suitable for the above purpose. The method is based on a polygonal curve approximation technique for data pre-processing, followed by a neural network classifier. Only normalised I/O data are employed, so that the neural network can be trained off-line with simulated data. Simulation results are reported to show the effectiveness of the proposed classification method in terms of the achievable tuning results.