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Inspecting manufacturing precision of 3D printed concrete parts based on geometric dimensioning and tolerancing

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journal contribution
posted on 22.04.2020 by Jerry Xu, Richard Buswell, Peter Kinnell, Istvan Biro, John Hodgson, Nikolaos Konstantinidis, Lieyun Ding
The additive manufacture of parts using extrusion-based techniques such as 3D Concrete Printing (3DCP) offers an alternative to traditional moulding processes. The precision to which the desired shape can be produced, however, is limited by the extrusion process and layer thickness, exacerbated by the deformation that occurs in the wet material during manufacture. Quantifying manufacturing precision is a critical part of defining process capability and quality control procedures, but this has yet to be explored for these technologies. To address this, this paper presents the problem of evaluating the geometrical precision of manufactured parts and then proposes an approach based on geometric dimensioning and tolerancing (GD&T), commonly used in manufacturing. This is then applied in a case study in order to demonstrate the application of the technique for understanding and defining process capability, to enable more effective design rules that lead to greater confidence in the viability of part designs, and to provide the reliable performance metrics necessary for process improvement and control. The work concludes that the outlook for such techniques is positive and that the application will be beneficial in the future development of quality control procedures for 3DCP.

Funding

The National Key R&D Program of China (Grant number 2018YFB1306905) and the China Scholarship Council (CSC)

UKRI funded project, ‘CAMBER - Concrete Additive Manufacturing for the Built Environment using Robotics’ (Grant number EP/P031420/1

EPSRC funded projects, ‘Collaborative Metrology Systems for High Value Manufacturing’ (Grant number EP/L01498X/1), and ‘Manufacturing integrated building components using digital hybrid concrete printing (HCP) technology’ (Grant number EP/S031405/1)

History

School

  • Architecture, Building and Civil Engineering
  • Mechanical, Electrical and Manufacturing Engineering

Published in

Automation in Construction

Volume

117

Issue

September 2020

Publisher

Elsevier

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).

Acceptance date

16/04/2020

Publication date

2020-06-05

Copyright date

2020

ISSN

0926-5805

Language

en

Depositor

Mr Jerry Xu. Deposit date: 20 April 2020

Article number

103233

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