Al、Mo含量对铸造钛合金力学性能的影响

运用正交实验 ,考察了Al、Mo含量对Ti Al Mo 1Zr系铸造钛合金力学性能的影响。试验结果表明 :随Al、Mo含量提高 ,铸造合金的强度增加 ,塑性和冲击韧性降低 ,但Al、Mo的交互作用却使合金塑性提高 ,强度和冲击韧性降低     

液体低温热导率的测试

介绍了非稳态法测试液体在低温下（－１００～５０℃）的热导率的测试原理、方法，测试了全氟三乙胺的低温热导率。为了提高测试的重复性，采用了相对比较法，并给出了测试装置及测试结果和误差分析。     

水泵水轮机的数值模拟及其应用

采用足够小的直线段拟合机组全特性曲线平直部分，采用二次多项式拟合机组全特性曲线弯曲部分，推导了有关方程，并对模拟的方程进行了处理，编制了较通用的计算机程序，利用该计算机程序对我国蒲石河抽水蓄能电站进行了计算分析，计算结果表明：该计算机程序计算速度较快、计算准确度较高，提出的水泵水轮机的数值模拟方法具有实用价值．     

低温下液体饱和蒸气压的测试

着重介绍了静态法测试低温下（－１００～５０℃）液体饱和蒸气压的原理及方法，给出了低温下液体全氟三乙胺饱和蒸气压的测试结果，并进行了讨论。     

环戊烯催化氧化合成戊二醛及其动力学

对在非水溶剂存在下过氧化氢一步催化氧化环戊烯制备戊二醛过程中的催化体系进行了研究。考察了具有脱水功能的Ｂ２Ｏ３的作用及用量，确立了具有优良催化性能的催化体系ＷＯ３－Ｂ２Ｏ３；实验测定了反应动力学数据，采用非线性回归Ｐｏｗｅｌ共扼法求得了反应动力学方程。在推荐的催化剂体系和工艺条件下，环戊烯转化率６７％，戊二醛收率６３％，选择性９１％。     

Biogeography-based optimization with improved migration operator and self-adaptive clear duplicate operator

Biogeography-based optimization (BBO) is a new emerging population-based algorithm that has been shown to be competitive with other evolutionary algorithms. However, there are some insufficiencies in solving complex problems, such as poor population diversity and slow convergence speed in the later stage. To overcome these shortcomings, we propose an improved BBO (IBBO) algorithm integrating a new improved migration operator, Gaussian mutation operator, and self-adaptive clear duplicate operator. The improved migration operator simultaneously adopts more information from other habitats, maintains population diversity, and preserves exploitation ability. The self-adaptive clear duplicate operator can clear duplicate or almost identical habitats, while also preserving population diversity through a self-adaptation threshold within the evolution process. Simulation results and comparisons from the experimental tests conducted on 23 benchmark functions show that IBBO achieves excellent performance in solving complex problems compared with other variants of the BBO algorithm and other evolutionary algorithms. The performance of the improved migration operator is also discussed.     

Co-evolutionary particle swarm optimization to solve constrained optimization problems

This paper presents a co-evolutionary particle swarm optimization (CPSO) algorithm to solve global nonlinear optimization problems. A new co-evolutionary PSO (CPSO) is constructed. In the algorithm, a deterministic selection strategy is proposed to ensure the diversity of population. Meanwhile, based on the theory of extrapolation, the induction of evolving direction is enhanced by adding a co-evolutionary strategy, in which the particles make full use of the information each other by using gene-adjusting and adaptive focus-varied tuning operator. Infeasible degree selection mechanism is used to handle the constraints. A new selection criterion is adopted as tournament rules to select individuals. Also, the infeasible solution is properly accepted as the feasible solution based on a defined threshold of the infeasible degree. This diversity mechanism is helpful to guide the search direction towards the feasible region. Our approach was tested on six problems commonly used in the literature. The results obtained are repeatedly closer to the true optimum solution than the other techniques.     

大地电磁连续介质反演在庐枞矿集区的应用

在大地电磁数据一维反演方法中,用简单的层状模型来描述地下介质的电性分布是不符合实际情况的,模型空间对比法就是基于对模型的直接修改而不是参数的修改来做的反演。这种方法不仅避开了灵敏度矩阵和线性方程组的求解,进而提高了运算速度,并且能够更真实的逼近实际模型。本文阐述了模型空间对比法的基本原理,通过理论模型进行了验证,得到了较好的效果,对庐枞矿集区进行了连续介质的反演,得到了合理的解释。     

GH2132合金质量问题分析与讨论

通过对GH2132合坌缺陷试样经过金相观察和电子探针分析，确定了斌缺陷属于含W较高的异金属夹杂，并且是在用户的机加工工序中产生的。我公司交付的产品是合格的。