Automation development using a digital approach in prototype pipework

Toa Pecur, Nan Yu, Andrew Sherlock, Frank Mill

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

Abstract

Commonplace methods for measuring large assemblies that are prone to change have revolved around manual measurements. There is an increasing need for utilising the data in a digital format by capturing a digital shadow of the physical model. By doing so would expedite compliance checking of potential conflicting parts earlier in the manufacturing processes found in large scale metrology. Oftentimes, this would entail an intact 3D point cloud scan, or in the case of partial scans a varied amount of operator steps to deduce the characteristics captured by a scanner. This work aims to streamline and automate a section of this process enabling more fluid dimensioning of the pipe components within a scaled-down physical prototype pipeline model.
Original languageEnglish
Title of host publicationProceedings of euspen 2022
Pages1-2
Number of pages2
Publication statusE-pub ahead of print - 3 Jun 2022
Eventeuspen’s 22nd International Conference & Exhibition - Hilton Geneva Hotel and Conference Centre, Geneva, Switzerland
Duration: 30 May 20223 Jun 2022
https://www.euspen.eu/events/22nd-international-conference-exhibition/?subid=22nd-international-conference-exhibition

Conference

Conferenceeuspen’s 22nd International Conference & Exhibition
Country/TerritorySwitzerland
CityGeneva
Period30/05/223/06/22
Internet address

Keywords

  • large scale metrology
  • point clouds
  • prototype pipework
  • as-built to as-designed

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