期刊
JOURNAL OF INTELLIGENT MANUFACTURING
卷 19, 期 4, 页码 473-483出版社
SPRINGER
DOI: 10.1007/s10845-008-0097-1
关键词
cutting forces; surface roughness; neural networks
Metal cutting mechanics is quite complicated and it is very difficult to develop a comprehensive model which involves all cutting parameters affecting machining variables. In this study, machining variables such as cutting forces and surface roughness are measured during turning at different cutting parameters such as approaching angle, speed, feed and depth of cut. The data obtained by experimentation is analyzed and used to construct model using neural networks. The model obtained is then tested with the experimental data and results are indicated.
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