基于三导向条结构的枪钻深孔加工动力学分析及圆度误差优化

为了改善深孔加工的圆度形貌,依据枪钻深孔结构与加工中的实际受力情况,结合导向块对提高孔加工圆度形貌所起到的作用,设计出具有三个导向块的优化结构。在保证计算精度的前提下,通过有限元分析法及力学模型的特征矩阵推算出深孔加工过程中出现圆度误差的数学表达,并通过数值仿真分析与实验研究,对比分析了两导向块结构和三导向块结构枪钻在相同的加工条件下圆度误差形成的情况。计算结果表明,三导向块结构的枪钻加工孔的圆度误差更小。可见,三导向块结构可以有效降低圆度形貌变形的出现,提高加工质量。     

基于多目标的民用航空发动机典型部件维修间隔确定

发动机部件维修间隔制定得合理与否对民机运行的安全性与维修成本有着至关重要的影响,而MSG-3逻辑思想对维修间隔确定的方法没有提及。为此,本文通过建立数学模型,之后采用遗传算法对模型进行求解来确定发动机上典型部件的维修间隔,从而得到部件的维修间隔理论值。文章选取反推同步锁进行案例分析,将求得的维修间隔值和737NG维修计划文件（MPD）中的维修间隔值对比,发现误差为6.9%,表明了模型和算法的可行性。因此本文方法可以为国内发动机制造商确定部件维修间隔提供参考。     

一类鲁棒凸优化的Mond-Weir型逼近对偶性

通过引入一类含有不确定信息的凸约束优化问题, 先借助鲁棒优化方法, 建立该不确定凸约束优化问题的Mond Weir型鲁棒逼近对偶问题, 再借助一类广义鲁棒逼近KKT条件, 刻画该不确定凸约束优化问题与其Mond Weir型鲁棒逼近对偶问题之间的逼近对偶性关系.     

页岩气低伤害超临界CO2凝胶压裂液研究

针对常规水压裂液会对页岩造成伤害,容易产生水锁,不易返排,还造成水资源消耗和污染环境等问题,制备了低伤害二氧化碳凝胶压裂液。将自备的F2EU和F4EU增稠剂加入到超临界CO₂基液中,探究两种增稠剂的加入量对CO₂凝胶压裂液黏度的影响,综合考虑成本与效果,优选了2%的F4EU增稠剂,可将CO₂的黏度增至15.4 mPa·s。研究了温度、压力以及剪切速率对凝胶压裂液黏度的影响。实验结果表明,随着温度升高黏度总体降低,但中间出现一个短暂升高阶段;随着压力上升压裂液黏度增加;随着剪切速率的增加压裂液黏度下降,属于一种典型的剪切变稀的假塑性流体。F4EU超临界CO₂凝胶压裂液的平均伤害率为1.39%,远远小于常规压裂液对岩芯的伤害率。实验表明,F4EU超临界CO₂凝胶压裂液在页岩气压裂开采中具有良好的应用前景。     

乙烯醇锂的从头算研究

用限制的HF/3-21G和HF/6-31G^*优化乙烯醇锂的几种可能构型,比较了它们的稳定性.用限制的HF/3-1G,从乙醛开始,探讨了气相反应生成乙烯醇锂的机理,并在MP2水平上用6-31G^*基组计算了反应热.     

Trace level vanadium determination using thermal lens spectrophotometry

Trace level vanadium determination is reported using a dual beam thermal lens spectrometer. The thermal lens was generated using an argon ion beam laser (pump beam) which was focused into a sample cuvette. The thermal lens signal (TLs) was monitored with a He-Ne laser beam and a photodiode detector. Multichannel averager software was developed for processing the transient TLs. The optimal set up, ensuring maximum sensitivity and linear calibration graphs was obtained using experimental design techniques. Under optimized conditions, the detection limits for aqueous and ethanol-water (2+3 v/v) and (4+1 v/v) vanadium complex solutions were, respectively, 0.0071 mg/l, 0.0065 and 0.0039 mg/l.     

Improved binary PSO for feature selection using gene expression data

Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. Compared to the number of genes involved, available training data sets generally have a fairly small sample size in cancer type classification. These training data limitations constitute a challenge to certain classification methodologies. A reliable selection method for genes relevant for sample classification is needed in order to speed up the processing rate, decrease the predictive error rate, and to avoid incomprehensibility due to the large number of genes investigated. Improved binary particle swarm optimization (IBPSO) is used in this study to implement feature selection, and the K-nearest neighbor (K-NN) method serves as an evaluator of the IBPSO for gene expression data classification problems. Experimental results show that this method effectively simplifies feature selection and reduces the total number of features needed. The classification accuracy obtained by the proposed method has the highest classification accuracy in nine of the 11 gene expression data test problems, and is comparative to the classification accuracy of the two other test problems, as compared to the best results previously published.     

基于区间套混沌搜索的混合优化方法

基于对Logistic映射混沌变量概率分布的研究,提出了一种区间套混沌搜索方法,避免了混沌搜索的盲目性.将区间套混沌搜索方法与共轭梯度法结合,提出了一种混合优化方法,利用区间套混沌搜索方法搜索到近似最优点,再用共轭梯度法求得最优点.数值计算结果表明,该方法可显著提高优化效率.     

关于田径运动的训练原则分类及其相关内涵探析

从田径运动训练的实践出发，采用文献资料法和归纳法，在广泛研究国内外田径运动训练专家有关田径训练的论述基础上，根据各原则的性质，按照由宏观抽象，到微观具体的思路，将其划分为田径运动的基本训练，专项训练和方法学3类训练原则加以探讨，并具体分析了各原则的内涵。