Modelo Pre-Proceso de predicción de la Calidad Superficial en Fresado a Alta Velocidad basado en Softcomputing
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| dc.contributor.author | Flores, Víctor M.
|
es_ES |
| dc.contributor.author | Correa, Maritza
|
es_ES |
| dc.contributor.author | Alique, José R.
|
es_ES |
| dc.date.accessioned | 2020-05-28T17:24:52Z | |
| dc.date.available | 2020-05-28T17:24:52Z | |
| dc.date.issued | 2011-01-04 | |
| dc.identifier.issn | 1697-7912 | |
| dc.identifier.uri | http://hdl.handle.net/10251/144543 | |
| dc.description.abstract | [EN] The surface quality is one of the most careful elements in the manufacture of parts in various industrial fields such as aeronautics and automotive. Often the surface quality is estimated according to the surface roughness (Ra) and depends largely on the combination of factors in machining. Works that incorporate techniques to the study of Ra Soft computing in-process or post-processing are relatively common in the literature, however, are almost non existent in this study devoted to pre-process, although this can help reduce costs associated the estimate of surface quality, etc.. This paper presents a technique to generate a model Soft computing pre-Ra predictive process based on experimentation with different characteristics of the milling process at high speed. The prediction model is a Bayesian classifier, validated the method with k-fold cross-validation. | es_ES |
| dc.description.abstract | [ES] La calidad superficial es uno de los aspectos más cuidados en la fabricación de piezas. Esta calidad se estima frecuentemente en función a la rugosidad superficial. Trabajos que incorporan técnicas de softcomputing al estudio de la rugosidad superficial en-proceso o pos-proceso son relativamente frecuentes en la literatura. Sin embargo, son casi inexistentes los dedicados al estudio de la rugosidad superficial en pre-proceso, pese a que esto puede ayudar a reducir costes asociados al aseguramiento de la calidad superficial en la producción industrial. En este trabajo se presenta una técnica softcomputing para generar un modelo pre-proceso predictivo de la rugosidad superficial basado en experimentación con características diversas del proceso de fresado a alta velocidad. El modelo de predicción es un clasificador Bayesiano, validado con el método k-fold cross-validation y varios valores de mérito, lo que ha permitido verificar la calidad del modelo predictivo respecto a otros modelos basados en técnicas similares. | es_ES |
| dc.language | Español | es_ES |
| dc.publisher | Universitat Politècnica de València | es_ES |
| dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
| dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
| dc.subject | High Speed Machining | es_ES |
| dc.subject | High Speed milling process | es_ES |
| dc.subject | Softcomputing | es_ES |
| dc.subject | Bayesians networks | es_ES |
| dc.subject | Predictive models | es_ES |
| dc.subject | Mecanizado a alta velocidad | es_ES |
| dc.subject | Proceso de fresado a alta velocidad | es_ES |
| dc.subject | Redes Bayesianas | es_ES |
| dc.subject | Modelos predictivos | es_ES |
| dc.title | Modelo Pre-Proceso de predicción de la Calidad Superficial en Fresado a Alta Velocidad basado en Softcomputing | es_ES |
| dc.title.alternative | A pre-process model for surface finish prediction in high speed milling based on Softcomputing | es_ES |
| dc.type | Artículo | es_ES |
| dc.identifier.doi | 10.1016/S1697-7912(11)70006-1 | |
| dc.rights.accessRights | Abierto | es_ES |
| dc.description.bibliographicCitation | Flores, VM.; Correa, M.; Alique, JR. (2011). Modelo Pre-Proceso de predicción de la Calidad Superficial en Fresado a Alta Velocidad basado en Softcomputing. Revista Iberoamericana de Automática e Informática industrial. 8(1):38-43. https://doi.org/10.1016/S1697-7912(11)70006-1 | es_ES |
| dc.description.accrualMethod | OJS | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/S1697-7912(11)70006-1 | es_ES |
| dc.description.upvformatpinicio | 38 | es_ES |
| dc.description.upvformatpfin | 43 | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dc.description.volume | 8 | es_ES |
| dc.description.issue | 1 | es_ES |
| dc.identifier.eissn | 1697-7920 | |
| dc.relation.pasarela | OJS\8537 | es_ES |
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