An artificial neural network approach to prediction of surface roughness and material removal rate in CNC turning of C40 steel
The present study is focused to investigate the effect of the various machining input parameters such as cutting speed (vc), feed rate (f), depth of cut, and nose radius (r) on output i.e. surface roughness (Ra and Rq) and metal removal rate (MRR) of the C40 steel by application of an artificial neu...
| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Iran University of Science & Technology
2021-09-01
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| Серии: | International Journal of Industrial Engineering and Production Research |
| Предметы: | |
| Online-ссылка: | http://ijiepr.iust.ac.ir/article-1-1163-en.html |