Investigation in optimisation of accuracy with non-contact systems by influencing variable processes

Ranveer S. Matharu, Wayne Sadler, Bekim V. Gashi, Trevor Toman

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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Abstract

The use of 3D scanning systems is becoming increasingly popular and an essential tool for manufacturers for inspection and measurement. With such systems being utilised on the manufacturing shop floor due to their portability and ease of use, it is no doubt that such systems are designed to address a variety of users whom, with minimal training can operate the equipment. Due to continuing demands of high-quality products there is the need for manufacturers of 3D scanning systems to develop technologies that deliver fast and accurate information. However, one of the key challenges lies not in the training of people to use the equipment, but to develop engineers who can produce traceable, accurate and precise results with a declared statement of confidence quantifying the quality of the measurement. This statement of the quality of the output results relies on employing a set of workflow actions that involve planning, capture, processing and analysis, and finally output. This paper sets out to show how the results from a set of workflow actions from different categories of 3D scanning devices affects the quality of output.
Original languageEnglish
Title of host publication19th International Congress of Metrology
PublisherEDP Sciences
Number of pages6
DOIs
Publication statusPublished - 23 Sep 2019
Event19th International Metrology Congress - Paris Porte de Versailles Exhibition Hall 4, Paris, France
Duration: 24 Sep 201926 Sep 2019
Conference number: 19
http://www.cim2019.com/programme-congress-international-metrology.html

Conference

Conference19th International Metrology Congress
Abbreviated titleCIM 2019
CountryFrance
CityParis
Period24/09/1926/09/19
Internet address

Bibliographical note

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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