基于正交试验的雾化施液抛光工艺参数研究

为了研究雾化施液化学机械抛光工艺参数对抛光效果的影响,以抛光盘转速、抛光压力、雾化器电压、氧化剂质 量分数为因素,以材料去除率和表面粗糙度为评价指标设计正交试验,再对试验结果进行直观分析和权矩阵分析,得到 了各因素对试验结果的影响趋势和程度,并得到了最佳参数组合。结果表明：在雾化施液抛光过程中抛光效果随抛光盘 转速的增大而增大;随抛光压力的增大呈先增大后减小的趋势;随雾化器电压的增大而增大;随氧化剂质量分数的增大 而增大。且影响程度顺序由大到小为：氧化剂质量分数、抛光压力、雾化器电压、抛光盘转速。当抛光盘转速为60 r／ mm、抛光压力48 kPa、雾化器电压55 V、氧化剂质量分数为2.5%时,得到材料去除率和表面粗糙度均达到最佳,此时的 抛光效果最好。     

螺旋槽丝锥几何参数对切削力的影响

螺旋槽丝锥结构复杂,刀具寿命较短,为了研究螺旋槽丝锥的切削性能,对螺旋槽丝锥进行受力分析,建立丝锥 的力学模型。用SolidWorks建立螺旋槽丝锥的三维模型,用仿真软件AdvantEdge FEM模拟螺旋槽丝锥攻丝过程;采用 正交试验法分析HSS-Co-PM ASP2030高速钢螺旋槽丝锥加工AISI-4/30合金结构钢时的切削性能;利用极差分析法研究 螺旋槽丝锥几何参数端面前角γp、切削锥角,kr、沟槽螺旋角w对切削力的影响。试验结果表明：沟槽螺旋角对切削力的 影响最大,其次是端面前角和切削锥角。螺旋槽丝锥加工合金结构钢取沟槽螺旋角35°,切削锥角12°,端面前角2°时切 削力最小,能有效提高刀具寿命     

Minimum cost linear trend-free 12-run fractional factorial designs

Time trend resistant fractional factorial experiments have often been based on regular fractionated designs where several algorithms exist for sequencing their runs in minimum number of factor-level changes (i.e. minimum cost) such that main effects and/or two-factor interactions are orthogonal to and free from aliasing with the time trend, which may be present in the sequentially generated responses. On the other hand, only one algorithm exists for sequencing runs of the more economical non-regular fractional factorial experiments, namely Angelopoulos et al. [1 P. Angelopoulos, H. Evangelaras, and C. Koukouvinos, Run orders for efficient two-level experimental plans with minimum factor level changes robust to time trends, J. Statist. Plann. Inference 139 (2009), pp. 3718–3724. doi: 10.1016/j.jspi.2009.05.002[Crossref], [Web of Science ®] , [Google Scholar]]. This research studies sequential factorial experimentation under non-regular fractionated designs and constructs a catalog of 8 minimum cost linear trend-free 12-run designs (of resolution III) in 4 up to 11 two-level factors by applying the interactions-main effects assignment technique of Cheng and Jacroux [3 C.S. Cheng and M. Jacroux, The construction of trend-free run orders of two-level factorial designs, J. Amer. Statist. Assoc. 83 (1988), pp. 1152–1158. doi: 10.1080/01621459.1988.10478713[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]] on the standard 12-run Plackett–Burman design, where factor-level changes between runs are minimal and where main effects are orthogonal to the linear time trend. These eight 12-run designs are non-orthogonal but are more economical than the linear trend-free designs of Angelopoulos et al. [1 P. Angelopoulos, H. Evangelaras, and C. Koukouvinos, Run orders for efficient two-level experimental plans with minimum factor level changes robust to time trends, J. Statist. Plann. Inference 139 (2009), pp. 3718–3724. doi: 10.1016/j.jspi.2009.05.002[Crossref], [Web of Science ®] , [Google Scholar]], where they can accommodate larger number of two-level factors in smaller number of experimental runs. These non-regular designs are also more economical than many regular trend-free designs. The following will be provided for each proposed systematic design:

• (1) The run order in minimum number of factor-level changes.

• (2) The total number of factor-level changes between the 12 runs (i.e. the cost).

• (3) The closed-form least-squares contrast estimates for all main effects as well as their closed-form variance–covariance structure.

In addition, combined designs of each of these 8 designs that can be generated by either complete or partial foldover allow for the estimation of two-factor interactions involving one of the factors (i.e. the most influential).     

Single replicate orthogonal block designs for circulant partial diallel crosses

Some incomplete block designs for partial diallel crosses have been given in the literature. These designs are obtained by regarding the number of crosses as treatments, and consequently require several replications of each cross. The need for resorting to a partial diallel cross itself implies that it is desired to have fewer crosses. A method for constructing single replicate incomplete block designs for circulant partial diallel crosses is provided in this paper. The designs are orthogonal, and thus they retain full efficiency for estimation of the contrasts of interest.     

Readouts for echo-state networks built using locally regularized orthogonal forward regression

Echo state network (ESN) is viewed as a temporal expansion which naturally give rise to regressors of various relevance to a teacher output. We illustrate that often only a certain amount of the generated echo-regressors effectively explain the teacher output and we propose to determine the importance of the echo-regressors by a joint calculation of the individual variance contributions and Bayesian relevance using the locally regularized orthogonal forward regression (LROFR). This information can be advantageously used in a variety of ways for an analysis of an ESN structure. We present a locally regularized linear readout built using LROFR. The readout may have a smaller dimensionality than the ESN model itself, and improves robustness and accuracy of an ESN. Its main advantage is ability to determine what type of an additional readout is suitable for a task at hand. Comparison with PCA is provided too. We also propose a radial basis function (RBF) readout built using LROFR, since flexibility of the linear readout has limitations and might be insufficient for complex tasks. Its excellent generalization abilities make it a viable alternative to feed-forward neural networks or relevance-vector-machines. For cases where more temporal capacity is required we propose well studied delay&sum readout.     

Optimal robust parameter designs with qualitative and quantitative factors

Robust parameter design is an effective methodology for reducing variance and improving the quality of a product and a process. Recent work has mainly concentrated on two‐level robust parameter designs. We consider general robust parameter designs with factors having two or more or mixed levels these levels being either qualitative or quantitative. We propose a methodology and develop a generalised minimum aberration optimality criterion for selecting optimal robust parameter designs. A catalogue of 18‐run optimal designs is constructed and tabulated.     

BP神经网络在化学镀工艺优化中的应用

利用BP神经网络预测模型融合正交实验法对化学镀工艺进行优化。对比预测结果和实验结果,证明该模型具有较高的精度,适用于化学镀生产。     

A skew-normal factor model for the analysis of student satisfaction towards university courses

Classical factor analysis relies on the assumption of normally distributed factors that guarantees the model to be estimated via the maximum likelihood method. Even when the assumption of Gaussian factors is not explicitly formulated and estimation is performed via the iterated principal factors’ method, the interest is actually mainly focussed on the linear structure of the data, since only moments up to the second ones are involved. In many real situations, the factors could not be adequately described by the first two moments only. For example, skewness characterizing most latent variables in social analysis can be properly measured by the third moment: the factors are not normally distributed and covariance is no longer a sufficient statistic. In this work we propose a factor model characterized by skew-normally distributed factors. Skew-normal refers to a parametric class of probability distributions, that extends the normal distribution by an additional shape parameter regulating the skewness. The model estimation can be solved by the generalized EM algorithm, in which the iterative Newthon–Raphson procedure is needed in the M-step to estimate the factor shape parameter. The proposed skew-normal factor analysis is applied to the study of student satisfaction towards university courses, in order to identify the factors representing different aspects of the latent overall satisfaction.     

无线光码分多址通信系统编码技术研究

介绍了在光码分多址通信系统中常用的几种编码方式,通过分析、比较各自的优缺点,提出了一种比较适合无线光码分多址通信系统的新编码方案,称为双极性码的单极性实现