研究了适配于铁谱显微镜的图像数字化处理系统，探讨了其原理、精度、适用性、以及经济性，并介绍了ImageView图像数字化处理系统的实际试用效果。

从腐蚀极化曲线测试的特点及要求出发，用微机和普通恒电位仪组成其测试系统，由计算机通过D/A转换产生所需的波形电压，代替波形发生器工作，然后用两路A/D分别采集腐蚀电流和腐蚀电位，并同步显示腐蚀极化曲线。本研究在提高腐蚀极化曲线测试水平方面作出了成功的尝试。

The lubricated rolling wear was simulated using a specially modified pin-on-disctester. Wear particles were collected in running-in and steady state wear stage, and analysed using a particle analyser, ferrography, confocal laser scanning microscopy and computer image analysis techniques. Numerical parameters, Ra, Rq and Rsk were used to measure the evolutions of the surface alternations from the running-in to steady state wear stage. Quantitative data on the evolutions of the surfaces of both the wear debris and the wear components were presented in the paper. The knowledge obtained in this research is important for predicting wear conditions using wear debris analysis techniques, while further understanding of the wear mechanisms and wear characteristics has been also gained.

Surface characterization, particularly roughness analysis, is very important for a wide range of applications including wear assessment. This paper proposes a set of methods and techniques to acquire appropriate images using confocal laser scanning microscopy, to separate roughness, waviness, and form using wavelet theory, and to characterize surface roughness for engineering surfaces and surfaces of small particles. Two application examples on engineering surfaces and wear particles have been presented in the paper to demonstrate that the method developed in this study can be used to measure surface roughness reliably and precisely. A guide on how to determine the iris size, step size, and objective lens has been scientifically provided according to theoretical analysis and experimental results.

When a machine is in operation, two moving surfaces interact to generate a large amount of wear particles. The wear debris generated inside the machine or contaminants from outside plays important roles in both two-body and three-body wear. For all mining and port machinery, their lubricants are very likely to be polluted by contaminants such as silica and other metallic debris such as iron and nickel. In order to seek a deeper understanding of the effects of different contaminants on wear process, this project investigated sliding wear processes when silica powder and iron powder exist in lubricants. Four sliding wear tests were conducted on a pin-on-disc tester with and without the contaminants. Visual inspection, ferrography analysis, particle quantity analysis using a particle analyzer, and numerical surface analysis using confocal laser scanning microscopy (CLSM) were conducted to study the wear particles and wear surfaces. Supported by the data generated from the comprehensive analyses on the wear particles and wear surfaces, the investigation of the effects of the added contaminants to the wear processes and wear mechanisms have been carried out and presented in this paper.