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Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations

Cutting capacity can be seriously limited in heavy duty face milling processes due to self-excited structural vibrations. Special geometry tools and, specifically, variable pitch milling tools have been extensively used in aeronautic applications with the purpose of removing these detrimental chatte...

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Autores principales: Iglesias, Alex, Dombovari, Zoltan, Gonzalez, German, Munoa, Jokin, Stepan, Gabor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337534/
https://www.ncbi.nlm.nih.gov/pubmed/30602682
http://dx.doi.org/10.3390/ma12010112
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author Iglesias, Alex
Dombovari, Zoltan
Gonzalez, German
Munoa, Jokin
Stepan, Gabor
author_facet Iglesias, Alex
Dombovari, Zoltan
Gonzalez, German
Munoa, Jokin
Stepan, Gabor
author_sort Iglesias, Alex
collection PubMed
description Cutting capacity can be seriously limited in heavy duty face milling processes due to self-excited structural vibrations. Special geometry tools and, specifically, variable pitch milling tools have been extensively used in aeronautic applications with the purpose of removing these detrimental chatter vibrations, where high frequency chatter related to slender tools or thin walls limits productivity. However, the application of this technique in heavy duty face milling operations has not been thoroughly explored. In this paper, a method for the definition of the optimum angles between inserts is presented, based on the optimum pitch angle and the stabilizability diagrams. These diagrams are obtained through the brute force (BF) iterative method, which basically consists of an iterative maximization of the stability by using the semidiscretization method. From the observed results, hints for the selection of the optimum pitch pattern and the optimum values of the angles between inserts are presented. A practical application is implemented and the cutting performance when using an optimized variable pitch tool is assessed. It is concluded that with an optimum selection of the pitch, the material removal rate can be improved up to three times. Finally, the existence of two more different stability lobe families related to the saddle-node and flip type stability losses is demonstrated.
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spelling pubmed-63375342019-01-22 Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations Iglesias, Alex Dombovari, Zoltan Gonzalez, German Munoa, Jokin Stepan, Gabor Materials (Basel) Article Cutting capacity can be seriously limited in heavy duty face milling processes due to self-excited structural vibrations. Special geometry tools and, specifically, variable pitch milling tools have been extensively used in aeronautic applications with the purpose of removing these detrimental chatter vibrations, where high frequency chatter related to slender tools or thin walls limits productivity. However, the application of this technique in heavy duty face milling operations has not been thoroughly explored. In this paper, a method for the definition of the optimum angles between inserts is presented, based on the optimum pitch angle and the stabilizability diagrams. These diagrams are obtained through the brute force (BF) iterative method, which basically consists of an iterative maximization of the stability by using the semidiscretization method. From the observed results, hints for the selection of the optimum pitch pattern and the optimum values of the angles between inserts are presented. A practical application is implemented and the cutting performance when using an optimized variable pitch tool is assessed. It is concluded that with an optimum selection of the pitch, the material removal rate can be improved up to three times. Finally, the existence of two more different stability lobe families related to the saddle-node and flip type stability losses is demonstrated. MDPI 2018-12-31 /pmc/articles/PMC6337534/ /pubmed/30602682 http://dx.doi.org/10.3390/ma12010112 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Iglesias, Alex
Dombovari, Zoltan
Gonzalez, German
Munoa, Jokin
Stepan, Gabor
Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title_full Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title_fullStr Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title_full_unstemmed Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title_short Optimum Selection of Variable Pitch for Chatter Suppression in Face Milling Operations
title_sort optimum selection of variable pitch for chatter suppression in face milling operations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337534/
https://www.ncbi.nlm.nih.gov/pubmed/30602682
http://dx.doi.org/10.3390/ma12010112
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