Resource title

Deriving a statistical model for the prediction of spiralling in BTA deep-hole-drilling from a physical model

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image for OpenScout resource :: Deriving a statistical model for the prediction of spiralling in BTA deep-hole-drilling from a physical model

Resource description

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 likely and of deriving countermeasures.

Resource author

Claus Weihs, Nils Raabe, Oliver Webber

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Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/24995

Resource license

Adapt according to the presented license agreement and reference the original author.