Dynamic method of stiffness identification in impacting systems for percussive drilling applications

Liao, Maolin; Ing, James; Sayah, Mukthar; Wiercigroch, Marian

View/Open

Dynamic_Method_of_Stiffness_Identification_in_Impacting_Systems_for_Percussive_Drilling_Applications.pdf (14.17Mb)

Publication date

01/12/2016

Author

Metadata

Show full item record

Citation

Liao , M , Ing , J , Sayah , M & Wiercigroch , M 2016 , ' Dynamic method of stiffness identification in impacting systems for percussive drilling applications ' , Mechanical Systems and Signal Processing , vol. 80 , pp. 224-244 . https://doi.org/10.1016/j.ymssp.2016.04.021

URI

http://hdl.handle.net/2164/8624

DOI

https://doi.org/10.1016/j.ymssp.2016.04.021

Rights

Collections

All research
Engineering research
University Office research


	The Sir Duncan Rice Library University of Aberdeen Bedford Road Aberdeen AB24 3AA Tel: +44 (0)1224 273330 Email: library@abdn.ac.uk

Dynamic method of stiffness identification in impacting systems for percussive drilling applications

View/Open

Publication date

Author

Metadata

Citation

URI

DOI

Rights

Collections

Related items

Deformation and failure in nanomaterials via a data driven modelling approach ﻿

Bifurcation analysis of vortex-induced vibration of low-dimensional models of marine risers ﻿

Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder ﻿

Deformation and failure in nanomaterials via a data driven modelling approach

Bifurcation analysis of vortex-induced vibration of low-dimensional models of marine risers

Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder