教授 博士生导师 硕士生导师
主要任职: 机械工程学院院长、党委副书记
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 机械工程学院
学科: 机械电子工程. 测试计量技术及仪器. 精密仪器及机械
办公地点: 辽宁省大连市大连理工大学机械工程学院知方楼5027
联系方式: 辽宁省大连市大连理工大学机械工程学院,116023
电子邮箱: lw2007@dlut.edu.cn
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论文类型: 会议论文
发表时间: 2010-01-01
收录刊物: EI、Scopus
期号: PART 2
页面范围: 613-618
摘要: Due to the inherent limitations of structure and dimensional, it is difficult to measure the surface roughness of micro-heterogeneous surface in deep hole. In this paper, the microscopic image of micro-heterogeneous surface is obtained by the long working distance lenses of digital microscopic camera, firstly. Thereafter, two artificial neural network models, which take microscopic image features as the inputs, are presented to measure the surface roughness. Then, experiments on the microscopic image acquisition and roughness calibration are conducted. Finally, the analysis results indicate that the proposed measurement method is efficient and effective for evaluating the microcosmic surface roughness of micro-heterogeneous surface in deep hole. ? 2010 IEEE.