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Advances in Vibration Measurements using Laser Dopper Vibrometry

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

Laser Doppler vibrometers (LDVs) are now well-established as an effective non-contact alternative to traditional contacting vibration transducers. Despite 30 years of successful applications, however, very little attention has been given to sensitivity to vibration of the instrument itself or to the vibration of any beam steering optics that might be used to guide the probe laser beam to the location of interest.

Recent research has established a theoretical basis for correction of affected measurements and this project will develop advanced but practical implementations based in this theory. The project offers the students an opportunity to gain broad expertise in vibration measurement and analysis, and an in-depth knowledge of the most exciting new technology for vibration measurement. Applications in structural health monitoring and MEMS serve to demonstrate LDV's applicability on structures of all sizes.

Measurements on rotors, in hearing and in acoustics demonstrate its versatility. Very recent new developments have seen innovations in multi-component and multi-channel instruments. The outcomes of this project have the potential to benefit all of these applications.

Links to find out more

LDV Review:
Correcting for instrument vibration:
Correcting for steering mirror vibration

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in mechanical engineering or a related subject.

A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Vibration measurement and analysis

How to apply

All applications should be made online at Under programme name select Mechanical, Electrical and Manufacturing Engineering.

Please quote this reference number to : SRUF2018

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