在高速气流粉碎作用下PVC的力化学降解及形态变化的研究

通过ＧＰＴ、ＦＴ－ＩＲ、ＳＥＭ和力学性能测试，研究了在高速气流作用下聚氯乙烯（ＰＶＣ）的力化学降解反应、颗粒形态和微晶结构变化及其对ＰＶＣ物理、力学性能的影响。实验结果表明，经过高速气流处理ＰＶＣ，分子量将有所降低，晶体结构发生变化，颗粒尺寸和表观密度降低，比表面积增大，加工性能和力学性能得到明显改善。     

数控加工螺旋凸轮的铣床改造

在普通铣床上实施数控改造后，可应用软件程序使步进电机任意变速，并可在加工过程中任意改变这行方向．从而突破了凸轮加工的传统方式，达到了简化程序、提高效率的同的．     

球磨纯铁中纳米铁素体的形成机制

通过形貌观察和硬度测试研究了球磨纯铁中纳米铁素体的形成机制，结果表明，在球磨过程初期，纳米铁素体首先在球磨颗粒的表层区域形成并呈现层片状结构，扫描电镜（SEM），透射电镜（TEM）和高分辨电镜（HREM）观察表明，层片状纳米铁素体区与颗粒内部加工硬化区具有不同的微观结构，而且它们之间的界面十分明显，显微硬度测试试表明，前者的硬度数值明显高于后者，进一步的球磨过程导致颗粒细化并完成转变为纳米铁素体，分析表明，纳米铁素体的形成是由于球磨过程中加工硬化效应产生的位错胞墙结构向晶界结构转变而导致的，这也是造成加工硬化区与纳米铁素体之间存在的硬度差异的原因。     

淬硬钢模具型腔高速加工的试验研究

通过整体硬质合金涂层球头立铣刀高速铣削淬硬钢(55HRC)旋钮模具型腔的单因素法切削试验,研究了不同的切削参数及其变化对模具型腔表面粗糙度的影响规律。     

机械合金化Fe─B非晶合金及纳米合金的形成

在适当条件下机械合金化可以形成急冷法难以得到的单一Ｆｅ６０Ｂ４０非晶合金，而在其他成分内形成亚稳纳米合金。在众多的球磨条件中，球磨机的转速是控制合金化的重要因素，空气中的氧对小颗粒界面产生了强烈的污染作用，从而抑制了原子的相互扩散，难以形成单一的非晶产物。不同球磨条件下的产物含有的非晶相的晶化温度比单一非晶相合金的晶化温度稍高，并且与球磨条件以及成分的关系不大。     

Disinfection of wastewaters: high-energy electron vs gamma irradiation

A study was undertaken to examine the sensitivity of a wastewater population of coliphage, total coliforms and total flora present in raw sewage and secondary effluent after irradiating with similar doses delivered by a high-energy electron beam and y -radiation. The electron beam study was conducted on a large scale at the Virginia Key Wastewater Treatment Plant, Miami, Fla. The facility is equipped with a 1.5 MeV, 50 mA electron accelerator, with a wastewater flow rate of 8 ls⁻¹. Concurrent y-radiation studies were conducted at laboratory scale using a 5000 Ci, ⁶⁰Co y -source. Three logs reduction of all three test organisms were observed at an electron beam dose of 500 krads, while at least four logs reduction were observed at the same dose utilizing the y-source.     

高能球磨AL─Cu合金固态合成反应研究

采用扫描电镜、能谱分析、Ｘ射线衍射和示差扫描量热分析研究了具有较大负混合焓的Ａｌ＿ｘＣｕ＿（１－ｘ）对称扩散系合金的高能球磨固态合成反应。高能球磨时组元晶粒细化达纳米级，造成纳米晶界亚互溶，为室温固态合成反应创造了条件，球磨强度对反应进程影响显著，在ｘ＝０．３～０．７范围内仅形成一种金属间化合物。     

立铣加工过程中的微元铣削力建模分析

针对单纯通过高速切削技术制造某些大型飞机零件过程中,存在难以控制的加工变形和较强表面残余拉应力分布等突出问题,以直齿和螺旋齿立铣加工过程为研究对象,基于微元切削机理,通过对刀齿铣削过程的分析,建立动态铣削加工仿真模型,导出铣削面积、铣削力、主轴扭矩、铣削功率与切削用量的关系.数值模拟结果与试验值较吻合,表明该模型可以实现动态铣削力预测,优化切削用量.     

The statistical modeling of surface roughness in high-speed flat end milling

Surface roughness is one of the most important requirements in machining process. The surface roughness value is a result of the tool wear. When tool wear increase, the surface roughness also increases. The determination of the sufficient cutting parameters is a very important process obtained by means of both minimum surface roughness values and long tool life. The statistical models were developed to predict the surface roughness.This paper presents the development of a statistical model for surface roughness estimation in a high-speed flat end milling process under wet cutting conditions, using machining variables such as spindle speed, feed rate, depth of cut, and step over. First- and second-order models were developed using experimental results of a rotatable central composite design, and assessed by means of various statistical tests. The highest coefficient of correlation (R_adj²) (88%) was obtained with a 10-parameter second-order model. Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting the probable effect of the tool wear on surface roughness. Thus, in order to enhance the estimation capability of the model, another independent variable was included into the model to account for the effect of the tool wear, and the total operating time of the tool was selected as the most suitable variable for this purpose. By inserting this new variable as a linear term into the model, R_adj² was increased to 94% and a good fit was observed between the model predictions and supplementary experimental data.In this study, it was observed that, the order of significance of the main variables is as X₅>X₃>X₄>X₁>X₂ (total machining time, depth of cut, step over, spindle speed and feed rate, respectively).     

数控机床主轴位置自动测量的实现

论述了数控机床主轴的结构以及数控机床主轴位王的测量电路的设计，实现了数控机床主轴位王参数的自动化测量过程。