Determinación de estrategias de mecanizado tres ejes de superficies cóncavas y convexas en aluminio EN-AW-7075.
The present technical project describes the different methodologies capable of developing new efficient parameters in a Vertical Machining Center controlled by EMCO Concept 260 Computer, to improve the surface roughness in an EN-AW-7075 Aluminum sample in concave and convex surfaces varying the Stra...
| Autor Principal: | Chanataxi Gualotuña, Juan Gabriel |
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| Otros Autores: | Villacis Arce, Richard Xavier |
| Formato: | bachelorThesis |
| Idioma: | spa |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: |
http://dspace.ups.edu.ec/handle/123456789/14971 |
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| Sumario: |
The present technical project describes the different methodologies capable of developing new efficient parameters in a Vertical Machining Center controlled by EMCO Concept 260 Computer, to improve the surface roughness in an EN-AW-7075 Aluminum sample in concave and convex surfaces varying the Strategies, RPM, Advance and Step.
From the hand of the free student software Autodesk Inventor proceeds with the drawing of the test tubes with measures of 25mm wide, 25mm high and 25mm deep for later programming in Autodesk Inventor HSM. With the help of the trained staff of the Salesian Polytechnic University and its high range of quality equipment and last generation tests were performed in the CNC laboratories (Computerized Numerical Control), for data collection.
By means of the Taguchi statistical method together with an orthogonal arrangement of 27 tests and 4 dependent factors in machining such as: strategy, RPM, advance and step, a low roughness value is found, this value being optimized by means of the ANOVA method, the which allows to find a range of reliability that allows to validate the study carried out in the technical project.
It is determined that the most influential factors in the machining of concave surfaces are the advance and the strategy, for convex surfaces the influencing factor is the step.
These models give roughness of 0.251μm in sample numbers 21, obtaining an improvement of 2.47% for concave surfaces while for convex surfaces it is 0.375μm in sample number 2 obtaining an improvement of 1.1%.
This study shows the best parameters when machining concave and convex surfaces, considerably reducing time and costs that are fundamental factors in the metalworking industry. |
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