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Performance evaluation of a robot-mounted interferometer for an industrial environment

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posted on 2020-01-08, 12:01 authored by Istvan Biro, Peter KinnellPeter Kinnell
High value manufacturing requires production-integrated, fast, multi-sensor and multi-scale inspection. To meet this need, the robotic deployment of sensors within the factory environment is becoming increasingly popular. For microscale measurement applications, robot-mountable versions of high-resolution instruments, that are traditionally deployed in a laboratory environment, are now becoming available. However, standard methodologies for the evaluation of these instruments, particularly when mounted to a robot, have yet to be fully defined, and therefore, there is limited independent evaluation data to describe the potential performance of these systems. In this paper, a detailed evaluation approach is presented for light-weight robot mountable scanning interferometric sensors. Traditional evaluation approaches are considered and extended to account for robotic sensor deployment within industrial environments. The applicability and value of proposed evaluation is demonstrated through the comprehensive characterization of a Heliotis H6 interferometric sensors. The results indicate the performance of the sensor, in comparison to a traditional laboratory-based system, and demonstrate the limits of the sensor capability. Based-on the evaluation an effective strategy for robotic deployment of the sensor is demonstrated.

Funding

Engineering and Physical Research Council in the UK (EPSRC) under grants EP/L01498X/1 and EP/I033467/1

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Sensors

Volume

20

Issue

1

Publisher

MDPI AG

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2019-12-28

Publication date

2020-01-01

Copyright date

2020

eISSN

1424-8220

Language

  • en

Depositor

Dr Peter Kinnell. Deposit date: 6 January 2020

Article number

257

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