Authors: Raabe, Nils
Webber, Oliver
Weihs, Claus
Title: Deriving a statistical model for the prediction of spiralling in BTA deep hole drilling from a physical model
Language (ISO): en
Abstract: One serious problem in deep-hole drilling is the occurrence of a dynamic disturbances called spiralling. A common explanation for the occurrence of spiralling is the coincidence of time varying bending eigenfrequencies of the tool with multiples of the spindle rotation frequency. We propose a statistical model for the estimation of the eigenfrequencies derived from a physical model. the major advantage of the statistical model is that it allows to estimate the parameters of the physical model directly from data measured during the process. This represents an efficient way of detecting situations in which spiralling is likelyy and of deriving countermeasures.
Subject Headings: Deep-hole drilling
Physical model
Spiralling
Statistical model
URI: http://hdl.handle.net/2003/24311
http://dx.doi.org/10.17877/DE290R-15759
Issue Date: 2007-05-25T10:52:15Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
tr10-07.pdfDNB568.95 kBAdobe PDFView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.