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Title: Linear friction weld process monitoring of fixture cassette deformations using empirical mode decomposition
Authors: Bakker, O.J.
Gibson, C.
Wilson, P.
Lohse, Niels
Popov, A.A.
Keywords: Linear friction welding
Process condition monitoring
Hilbert–Huang transform
Time-frequency analysis
Empirical mode decomposition
Non-stationary signal
Issue Date: 2015
Publisher: © Elsevier Ltd.
Citation: BAKKER, O.J. ... et al., 2015. Linear friction weld process monitoring of fixture cassette deformations using empirical mode decomposition. Mechanical Systems and Signal Processing, 62–63, pp.395–414.
Abstract: Due to its inherent advantages, linear friction welding is a solid-state joining process of increasing importance to the aerospace, automotive, medical and power generation equipment industries. Tangential oscillations and forge stroke during the burn-off phase of the joining process introduce essential dynamic forces, which can also be detrimental to the welding process. Since burn-off is a critical phase in the manufacturing stage, process monitoring is fundamental for quality and stability control purposes. This study aims to improve workholding stability through the analysis of fixture cassette deformations. Methods and procedures for process monitoring are developed and implemented in a fail-or-pass assessment system for fixture cassette deformations during the burn-off phase. Additionally, the de-noised signals are compared to results from previous production runs. The observed deformations as a consequence of the forces acting on the fixture cassette are measured directly during the welding process. Data on the linear friction-welding machine are acquired and de-noised using empirical mode decomposition, before the burn-off phase is extracted. This approach enables a direct, objective comparison of the signal features with trends from previous successful welds. The capacity of the whole process monitoring system is validated and demonstrated through the analysis of a large number of signals obtained from welding experiments.
Sponsor: The authors wish to acknowledge the support of the European Commission through the 7th Framework Programme under call FP7-AAT-2007-RTD-1 (FLEXA; Grant agreement 213734) and support of EPSRC through SAMULET Project 5: Processing Advanced Materials.
Version: Accepted for publication
DOI: 10.1016/j.ymssp.2015.02.005
URI: https://dspace.lboro.ac.uk/2134/17439
Publisher Link: http://dx.doi.org/10.1016/j.ymssp.2015.02.005
ISSN: 0888-3270
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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