Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes

An alternative method is devised for calculating dynamic stability maps in cylindrical and centerless infeed grinding processes. The method is based on the application of the Floquet theorem by repeated time integrations. Without the need of building the transition matrix, this is the most efficient...

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Main Authors: Jorge Alvarez, Mikel Zatarain, David Barrenetxea, Jose Ignacio Marquinez, Borja Izquierdo
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/22/8203
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author Jorge Alvarez
Mikel Zatarain
David Barrenetxea
Jose Ignacio Marquinez
Borja Izquierdo
author_facet Jorge Alvarez
Mikel Zatarain
David Barrenetxea
Jose Ignacio Marquinez
Borja Izquierdo
author_sort Jorge Alvarez
collection DOAJ
description An alternative method is devised for calculating dynamic stability maps in cylindrical and centerless infeed grinding processes. The method is based on the application of the Floquet theorem by repeated time integrations. Without the need of building the transition matrix, this is the most efficient calculation in terms of computation effort compared to previously presented time-domain stability analysis methods (semi-discretization or time-domain simulations). In the analyzed cases, subspace iteration has been up to 130 times faster. One of the advantages of these time-domain methods to the detriment of frequency domain ones is that they can analyze the stability of regenerative chatter with the application of variable workpiece speed, a well-known technique to avoid chatter vibrations in grinding processes so the optimal combination of amplitude and frequency can be selected. Subspace iteration methods also deal with this analysis, providing an efficient solution between 27 and 47 times faster than the abovementioned methods. Validation of this method has been carried out by comparing its accuracy with previous published methods such as semi-discretization, frequency and time-domain simulations, obtaining good correlation in the results of the dynamic stability maps and the instability reduction ratio maps due to the application of variable speed.
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spelling doaj.art-453ebec4dd9c42e6858bfc97caa146782023-11-20T21:33:11ZengMDPI AGApplied Sciences2076-34172020-11-011022820310.3390/app10228203Implicit Subspace Iteration to Improve the Stability Analysis in Grinding ProcessesJorge Alvarez0Mikel Zatarain1David Barrenetxea2Jose Ignacio Marquinez3Borja Izquierdo4IDEKO, Basque Research and Technology Alliance, Pol. Industrial Arriaga 2, 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance, Pol. Industrial Arriaga 2, 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance, Pol. Industrial Arriaga 2, 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance, Pol. Industrial Arriaga 2, 20870 Elgoibar, SpainDepartment of Mechanical Engineering, University of the Basque Country UPV/EHU, Plaza Torres Quevedo 1, 48013 Bilbao, SpainAn alternative method is devised for calculating dynamic stability maps in cylindrical and centerless infeed grinding processes. The method is based on the application of the Floquet theorem by repeated time integrations. Without the need of building the transition matrix, this is the most efficient calculation in terms of computation effort compared to previously presented time-domain stability analysis methods (semi-discretization or time-domain simulations). In the analyzed cases, subspace iteration has been up to 130 times faster. One of the advantages of these time-domain methods to the detriment of frequency domain ones is that they can analyze the stability of regenerative chatter with the application of variable workpiece speed, a well-known technique to avoid chatter vibrations in grinding processes so the optimal combination of amplitude and frequency can be selected. Subspace iteration methods also deal with this analysis, providing an efficient solution between 27 and 47 times faster than the abovementioned methods. Validation of this method has been carried out by comparing its accuracy with previous published methods such as semi-discretization, frequency and time-domain simulations, obtaining good correlation in the results of the dynamic stability maps and the instability reduction ratio maps due to the application of variable speed.https://www.mdpi.com/2076-3417/10/22/8203stabilitymachiningchattergrinding
spellingShingle Jorge Alvarez
Mikel Zatarain
David Barrenetxea
Jose Ignacio Marquinez
Borja Izquierdo
Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
Applied Sciences
stability
machining
chatter
grinding
title Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
title_full Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
title_fullStr Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
title_full_unstemmed Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
title_short Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes
title_sort implicit subspace iteration to improve the stability analysis in grinding processes
topic stability
machining
chatter
grinding
url https://www.mdpi.com/2076-3417/10/22/8203
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