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Open AccessArticle

Spiral Bevel Gears Face Roughness Prediction Produced by CNC End Milling Centers

1
Ibarmia, Polígono Industrial Etxesaga, s/n, 20720 Azkoitia, Gipuzkoa, Spain
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Department of Mechanical Engineering, University of the Basque Country (UPV/EHU), Nieves Cano 12, 01006 Vitoria, Spain
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Department of Mechanical Engineering, TECNUN-Universidad de Navarra, Paseo de Manuel Lardizabal 13, 20018 Donostia-San Sebastián, Spain: [email protected]
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Department of Mechanical Engineering, University of the Basque Country (UPV/EHU), Plaza Ingeniero Torres Quevedo 1, 48013 Bilbao, Spain
5
CFAA—University of the Basque Country (UPV/EHU), Parque Tecnológico de Zamudio 202, 48170 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Materials 2018, 11(8), 1301; https://doi.org/10.3390/ma11081301
Received: 6 June 2018 / Revised: 23 July 2018 / Accepted: 25 July 2018 / Published: 27 July 2018
(This article belongs to the Special Issue Special Issue of the Manufacturing Engineering Society (MES))
The emergence of multitasking machines in the machine tool sector presents new opportunities for the machining of large size gears and short production series in these machines. However, the possibility of using standard tools in conventional machines for gears machining represents a technological challenge from the point of view of workpiece quality. Machining conditions in order to achieve both dimensional and surface quality requirements need to be determined. With these considerations in mind, computer numerical control (CNC) methods to provide useful tools for gear processing are studied. Thus, a model for the prediction of surface roughness obtained on the teeth surface of a machined spiral bevel gear in a multiprocess machine is presented. Machining strategies and optimal machining parameters were studied, and the roughness model is validated for 3 + 2 axes and 5 continuous axes machining strategies. View Full-Text
Keywords: gear manufacturing; roughness model; multitasking machines/multiprocess machines gear manufacturing; roughness model; multitasking machines/multiprocess machines
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MDPI and ACS Style

Álvarez, Á.; Calleja, A.; Arizmendi, M.; González, H.; Lopez de Lacalle, L.N. Spiral Bevel Gears Face Roughness Prediction Produced by CNC End Milling Centers. Materials 2018, 11, 1301.

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