Comparison between mathematical models for roughness obtained in test machine and in industrial machine in semifinish honing processes

In the present work second order mathematical models for semifinish honing are presented for average roughness Ra as a function of abrasive stone characteristics and honing parameters. Several tests were performed in both a test machine and in an industrial machine. Results from both machines were c...

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Detalles Bibliográficos
Autores: Buj Corral, Irene|||0000-0003-4058-4162, Vivancos Calvet, Joan|||0000-0001-7180-6990, Rodero de Lamo, Lourdes|||0000-0002-8794-7541, Marco Almagro, Lluís|||0000-0002-0440-1675
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/83536
Acceso en línea:https://hdl.handle.net/2117/83536
https://dx.doi.org/10.1016/j.proeng.2015.12.531
Access Level:acceso abierto
Palabra clave:Machinery
Honing
Semifinish
Roughness
Design of experiments
Mathematical models
Maquinària
Àrees temàtiques de la UPC::Enginyeria mecànica
Àrees temàtiques de la UPC::Enginyeria mecànica::Processos de fabricació mecànica::Màquines i mecanismes
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
Descripción
Sumario:In the present work second order mathematical models for semifinish honing are presented for average roughness Ra as a function of abrasive stone characteristics and honing parameters. Several tests were performed in both a test machine and in an industrial machine. Results from both machines were compared. Although roughness depends on the five variables studied (grain size, density, pressure, linear speed and tangential speed) in both cases, most important factors are grain size and pressure. It is possible to use the model for the test machine in the industrial machine, in a way that only a few tests will be performed in the industrial machine in order to translate the model.