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| Content Provider | Springer Nature Link |
|---|---|
| Author | Rubio, Eva Maria Valencia, Jose Luis Saá, Adolfo José Carou, Diego |
| Copyright Year | 2013 |
| Abstract | This paper shows an experimental study of dry face turning carried out on UNS M11917 magnesium pieces. The work is focused on repair and maintenance operations which are generally carried out under cutting conditions of low performance. The main goal is to determine if such type of operations can be reached successfully by dry machining, the most drastic and sustainable cooling technique that exists, and, if so, what factor or factors among the involved ones in the machining (spindle speed, feed rate and tool coating) and their possible interactions are more influential in the quality of surface finish. To achieve this objective, a sustainable methodology that combines Taguchi design of experiment (DOE) and the analysis of variance (ANOVA) method are considered. The main result is the establishment of a model for estimating the expected surface roughness, in terms of average roughness, Ra, that allows selecting the best combination of cutting conditions and type of tool to obtain pieces within a certain range of surface roughness. The principal conclusion is that the dry machining technique can be used in the face turning repair and maintenance operations of pieces of magnesium producing a very good quality of the surface roughness and reducing costs and environmental impact. |
| Starting Page | 995 |
| Ending Page | 1001 |
| Page Count | 7 |
| File Format | |
| ISSN | 22347593 |
| Journal | International Journal of Precision Engineering and Manufacturing |
| Volume Number | 14 |
| Issue Number | 6 |
| e-ISSN | 20054602 |
| Language | English |
| Publisher | Korean Society for Precision Engineering |
| Publisher Date | 2013-06-19 |
| Publisher Place | Springer |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Dry face turning Magnesium UNS M11917 Surface roughness Sustainable machining Optimization Taguchi design of experiments ANOVA Industrial and Production Engineering Materials Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Mechanical Engineering Electrical and Electronic Engineering |
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