IDEF0法建立模具CAD／CAM系统的功能模型

本文阐述了 IDEFO 法建立系统功能模型的步骤、方法和意义,IDEFO 法是一种结构化的系统分析方法,最后用一个简单实例加以说明。     

系统失效的分支-界限分析法及其在桁架可靠性分析中的应用

本文首先介绍了系统失效的分支-界限分析法，然后以空间桁架系统为例用分支-界限分析法进行了可靠性分析。系统失效的分支-界限分析法直观、明了，适合对实际工程中的复杂系统进行可靠性分析。     

外缘内曲翻边毛坯尺寸的计算

通过对外缘内曲翻边应力应变状态的分析,导出了预测变形区的变形和对毛坯尺寸进行修正的解析式,经与有限元数值模拟和实验结果对比,证实该公式有较高的精度,可以用于确定毛坯尺寸。     

Synthesis mechanism of titanium carbide nano-fiber during self-propagating high temperature synthesis

Titanium carbide nano-fiber was synthesized by self-propagating high temperature synthesis (SHS) method. The final products after the SHS reaction were titanium carbide containing excess carbon and metallic titanium, which were removed by additional leaching process. TEM observation revealed that the average diameter is about 20 nm. Neutron diffraction analysis was carried out to study non-stoichiometric number of the titanium carbide. The non-stoichiometric numbers of the titanium carbide were 0.89–0.94. The Rietveld refinement of each patterns converged to good agreement (÷2=0.49–1.34). The formation mechanism of the carbide is related to a liquid-solid reaction including the preferential diffusion process of carbon atom into liquid titanium. This article is based on a presentation made in the 2002 Korea-US symposium on the “Phase Transformations of Nano-Materials,” organized as a special program of the 2002 Annual Meeting of the Korean Institute of Metals and Materials, held at Yonsei University, Seoul, Korea on October 25–26, 2002.     

高钒高速钢碳化钒形态的数值化分析

针对碳化钒的不同形态,设计出定量分析软件,并利用形状因子K,实现了高钒高速钢不同碳化物形态数值化处理,当K介于0.785～1.000之间碳化钒形态为团球状;K≤0.223,碳化钒呈开花状.高钒高速钢当碳含量达到4.2%时,K为0.86和当量直径D为0.78μm,碳化物呈团球状均匀分布.     

Pd—DBS—偶氮胂新显色体系的分光光度法测定钛合金中微量钯

在较高酸度的H_3PO_4介质中钯与DBS—偶氮肿的新显色反应有较高的选择性。钯含量在0～10μg/10ml符合比尔定律,ε_(610)=2.37×10~4。提出不经分离,准确、快速测定钛合金中微量钯的方法。     

Rh(Ⅲ)—钍试剂—高碘酸钾新体系催化光度法测定痕量铑

在pH3.9醋酸盐缓冲溶液中及加热条件下,Rh(Ⅲ)对高碘酸钾氧化钍试剂这一褪色反应有强烈的催化作用,可藉自来水冷却中止反应,研究了催化光度测定痕量铑的影响因素,建立了一个检出限和测定范围分别为0.06ng/ml和0.12～4.5ng/ml铑的催化光度新方法。     

Modeling of tool wear in drilling by statistical analysis and artificial neural network

The useful life of a cutting tool and its operating conditions largely control the economics of the machining operations. Hence, it is imperative that the condition of the cutting tool, particularly some indication as to when it requires changing, to be monitored. The drilling operation is frequently used as a preliminary step for many operations like boring, reaming and tapping, however, the operation itself is complex and demanding.

Back propagation neural networks were used for detection of drill wear. The neural network consisted of three layers input, hidden and output. Drill size, feed, spindle speed, torque, machining time and thrust force are given as inputs to the ANN and the flank wear was estimated. Drilling experiments with 8 mm drill size were performed by changing the cutting speed and feed at two different levels. The number of neurons in the hidden layer were selected from 1, 2, 3, …, 20. The learning rate was selected as 0.01 and no smoothing factor was used. The estimated values of tool wear were obtained by statistical analysis and by various neural network structures. Comparative analysis has been done between statistical analysis, neural network structures and the actual values of tool wear obtained by experimentation.     

隔直电容在弧焊逆变器中抗偏磁能力的分析

本文采用状态平均法建立了隔直电容在知式焊接逆变器中抗偏磁的动态模型，并进行了动态分析，为焊接逆变器的设计提供了理论依据。     

基于逻辑回归模型的木片和树皮的图像识别

为了提高木片生物能的利用率,需要除去木片中的树皮杂质。识别木片和树皮的图像对于实现二者分离具有重要作用。提出一种基于逻辑回归模型来对木片和树皮进行图像识别的算法。算法流程包括计算各种可以描述木片和树皮纹理的参数,利用SAS统计分析出最佳参数,将最佳参数计算所得的样本数据用于SAS LOGISTIC过程得到预测方程,再将预测方程用于逻辑回归模型来实现木片和树皮的图像识别。通过实验可知,最佳参数为灰度方差,该图像识别算法的正确率能达到97.4%。