Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Ingenius. Revista de Ciencia y Tecnología
On-line version ISSN 1390-860XPrint version ISSN 1390-650X
Abstract
MORALES-TAMAYO., Yoandrys et al.
The present experimental study focuses on determining statistical models to predict flank wear during dry turning of AISI 316L stainless steel using two cutting inserts. Cutting parameters were compared using analysis of variance and simple regression. As a main result the significant effect of cutting feed and main time was found. Statistical models were used to estimate flank wear, as well as the mean absolute errors of each equation. The best performance corresponded to the GC2015 insert according to the regression equations.
Keywords : Dry turning; Flank wear; AISI 316L Stainless steel; Analysis of variance and regression.