Optimization of machining parameters in the manufacture of iron

The surface roughness is one most important requirement in the machining process. The determination of machining parameters is an important stage in the manufacturing process and tool life. In this paper we propose to optimize machining parameters of iron in milling process in an industrial plant ag...

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Main Authors: Anderson Melo, Carla Schwengber ten Caten, Angelo M. O. Sant'Anna
Format: Article
Language:English
Published: Universidade Federal de Santa Catarina 2013-03-01
Series:Revista Produção Online
Subjects:
Online Access:http://producaoonline.org.br/rpo/article/view/1200
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author Anderson Melo
Carla Schwengber ten Caten
Angelo M. O. Sant'Anna
author_facet Anderson Melo
Carla Schwengber ten Caten
Angelo M. O. Sant'Anna
author_sort Anderson Melo
collection DOAJ
description The surface roughness is one most important requirement in the machining process. The determination of machining parameters is an important stage in the manufacturing process and tool life. In this paper we propose to optimize machining parameters of iron in milling process in an industrial plant agricultural machine using response surface methodology (RSM). We calculated the effects of machining parameters: speed, feed and depth of cut on the response variables about surface roughness and cycle time of the milling operation. Applying this RSM allowed to plan and execute test efficiently, modeling the response variables according to adjustment of process parameters and thus determine the optimal setting of parameters that optimizes simultaneously the surface roughness and cycle time, providing to evaluate the material loss and cost of operation.
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spelling doaj.art-8eef16c19fe543cea66751418fd1c1662022-12-22T03:48:49ZengUniversidade Federal de Santa CatarinaRevista Produção Online1676-19012013-03-0113137538810.14488/1676-1901.v13i1.1200537Optimization of machining parameters in the manufacture of ironAnderson Melo0Carla Schwengber ten Caten1Angelo M. O. Sant'Anna2Universidade Federal do Rio Grande do SulUniversidade Federal do Rio Grande do SulPontifícia Universidade Católica do Paraná Escola PolitécnicaThe surface roughness is one most important requirement in the machining process. The determination of machining parameters is an important stage in the manufacturing process and tool life. In this paper we propose to optimize machining parameters of iron in milling process in an industrial plant agricultural machine using response surface methodology (RSM). We calculated the effects of machining parameters: speed, feed and depth of cut on the response variables about surface roughness and cycle time of the milling operation. Applying this RSM allowed to plan and execute test efficiently, modeling the response variables according to adjustment of process parameters and thus determine the optimal setting of parameters that optimizes simultaneously the surface roughness and cycle time, providing to evaluate the material loss and cost of operation.http://producaoonline.org.br/rpo/article/view/1200Otimização. Metodologia superfície de resposta. Usinagem. Processo de fresamento.
spellingShingle Anderson Melo
Carla Schwengber ten Caten
Angelo M. O. Sant'Anna
Optimization of machining parameters in the manufacture of iron
Revista Produção Online
Otimização. Metodologia superfície de resposta. Usinagem. Processo de fresamento.
title Optimization of machining parameters in the manufacture of iron
title_full Optimization of machining parameters in the manufacture of iron
title_fullStr Optimization of machining parameters in the manufacture of iron
title_full_unstemmed Optimization of machining parameters in the manufacture of iron
title_short Optimization of machining parameters in the manufacture of iron
title_sort optimization of machining parameters in the manufacture of iron
topic Otimização. Metodologia superfície de resposta. Usinagem. Processo de fresamento.
url http://producaoonline.org.br/rpo/article/view/1200
work_keys_str_mv AT andersonmelo optimizationofmachiningparametersinthemanufactureofiron
AT carlaschwengbertencaten optimizationofmachiningparametersinthemanufactureofiron
AT angelomosantanna optimizationofmachiningparametersinthemanufactureofiron