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Response surface and neural network based predictive models of cutting temperature in hard turning
The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cut...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106449/ https://www.ncbi.nlm.nih.gov/pubmed/27857850 http://dx.doi.org/10.1016/j.jare.2016.05.004 |