An experimental study of surface roughness in electrical discharge machining of AISI 304 stainless steel
The effect of the pulse current, pulse on time and pulse off time on the surface roughness of AISI 304 stainless steel workpieces produced by electric discharge machining (EDM) using grade GSP-70 graphite electrodes was studied. A factorial design was performed, considering two levels for each of th...
- Autores:
-
HERNÁNDEZ CASTILLO, IGNACIO
SÁNCHEZ LÓPEZ, ORQUÍDEA
LANCHO ROMERO, GUILLERMO ARTURO
CASTAÑEDA ROLDÁN, CUAUHTÉMOC HÉCTOR
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/67534
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/67534
http://bdigital.unal.edu.co/68563/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Stainless steel
electric discharge machining
factorial design
average roughness.
Acero inoxidable AISI 304
maquinado por descarga eléctrica
diseño factorial
rugosidad media.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | The effect of the pulse current, pulse on time and pulse off time on the surface roughness of AISI 304 stainless steel workpieces produced by electric discharge machining (EDM) using grade GSP-70 graphite electrodes was studied. A factorial design was performed, considering two levels for each of the three established parameters. From the statistical analysis, it was obtained that the pulse current and pulse on time are the most significant machining parameters on the obtained surface roughness values of the stainless steel AISI 304 workpieces machined by EDM. On the other hand, the regression analysis of a second order model was done to estimate the average roughness (Ra) in terms of the pulse current, pulse on time and pulse off time. Finally, the mean absolute percentage error (MAPE) of the roughness values estimated by the second order regression model and the roughness obtained experimentally is also presented. |
---|