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MIXED REALITY PROTOTYPING: SYNCHRONICITY AND ITS IMPACT ON A DESIGN WORKFLOW

Published online by Cambridge University Press:  27 July 2021

Lee Kent ,
Chris Snider  and
Ben Hicks
Lee Kent*
Affiliation:
University of Bristol
Chris Snider
Affiliation:
University of Bristol
Ben Hicks
Affiliation:
University of Bristol
*
Kent, Lee, University of Bristol Mechanical Engineering United Kingdom, lee.kent@bristol.ac.uk

Abstract

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Design is multi-modal, and depending on the current stage in the process, progress can be facilitated through working in either the physical or virtual domain with frequent iterations commonly required between. Traditionally, prototyping workflows are sequential, although current trends such as Digital Twinning and Mixed Reality (MR) enable decreased domain transition times, reducing the cycle time. This leads towards fully integrated digital-physical prototypes, enabling work in both domains simultaneously by increasing synchronicity of select variables. This paper considers those variables involved, the sensors that measure them and their rate of synchronisation, thereby investigating the feasibility of MR workflow interventions, and exploring the benefits that may be realised. The paper identifies four components of MR implementations in prototyping and myriad methods by which domain transition may occur and uses these in context of a case study to propose four levels of workflow synchronisation. It was found achieving some high rates of synchronicity is possible, but achieving the highest levels as prescribed by digital twinning is neither feasible nor pragmatic against current MR capabilities and design prototyping workflows.

Keywords

Virtual realityIntegrated product developmentVirtual Engineering (VE)Mixed RealityPrototyping
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2117 - 2126
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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