WP1 - Basic Non-diffractive Interferometry
THEME ONE
Embedded Metrology Foundations
WP1 Basic Non-diffractive Interferometry
WP1 aims to investigate methods of extending the dynamic range in optical sensors which are a key criterion for enabling the integration of sensors for embedded metrology by allowing more flexibility in deployment and widening applicable measurement scenarios. The planned work focusses on the increasing depth of focus (DOF) using non-diffracting beams with additional work covering other aspects of dynamic range improvement. This WP is a contributor to the major HUB aim of transferring conventional lab-based metrology to fully embedded metrology through alignment with Theme 1 and Objectives 1 & 2.
Meet the team
Dame Prof. Xiangqian (Jane) Jiang
Investigator
University of Huddersfield
Dr Haydn Martin
Investigator
University of Huddersfield
Dr Andrew Henning
Research Fellow
University of Huddersfield
Dr Prashant Kumar
Research Fellow
University of Huddersfield
Dr James Williamson
Research Fellow
University of Huddersfield
Dr Dawei Tang
Research Fellow
University of Huddersfield
Publications
Martin, H., Kumar, P., Henning, A. and Jiang, X. “Extended sub-surface imaging in industrial OCT using ‘non-diffracting’ Bessel beams,” CIRP Annals Manuf. Tech. (accepted for publication), 2020. (Q1).
Furness T., Williamson, J., Fletcher, S., Iqbal, A., Henning, A., Martin, H., Jiang, X., Bertarelli, A., Carra, F. and Pasquali, M. “In-Situ Displacement Measurement for use in LHC Collimators,” EUSPEN 2020.
Henning, A., Williamson, J., Martin, H., & Jiang, X. (2019). Improvements to dispersed reference interferometry: beyond the linear approximation. Applied Optics, 58(1), 131-136. (Q1).
Tang, D., Henning, A.J., Gao, F., Gribble, A.P. and Jiang, X "Improved description of the signal formation in grating generated-optical coherence tomography," Opt. Express 27, 33999-34010 (2019). (Q1).
Jiang, X., Gao, F., Martin, H., Williamson J. and Li, D. Chapter 7, On-machine metrology, Hybrid Machining, edited by Xichun Luo and Yi Qin, 1st Ed. Academic Press (Elsevier), 2018; eBook ISBN: 9780128131138; Paperback ISBN: 9780128130599.