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Mixed Reality Interface for Load Application in Finite Element Analysis

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Social Computing and Social Media: Experience Design and Social Network Analysis (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12774))

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Abstract

Finite Element Analysis (FEA) is an integral process in manufacturing design, providing assurance of quality and structural integrity of a manufactured item. FEA involves conducting rigorous stress simulations on a designed model to study its structural behaviour when under specific loading scenarios. Current FEA tools involve viewing and manipulating the 3D model displayed on a monitor screen. A Mixed Reality (MR) user interface allowing for direct manipulation and specification of loading scenarios on a designed model was developed, thus enabling design engineers to find new ways of interacting and visualising FEA results for analysis and thus reducing unnecessary prototyping costs. Three gesture interfaces were developed to allow application of load parameters on a surface of a model, namely: Point-Apply, Point-Hold, and Point-Drag. A pilot evaluation was conducted to study the suitability of each as an interface designed for engineers. Results suggest that Point-Hold is empirically the most usable interface compared to the other interfaces.

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Authors and Affiliations

  1. Infocomm Technology, Singapore Institute of Technology, Singapore, Singapore

    Emran Poh & Jeannie S. A. Lee

  2. Engineering, Singapore Institute of Technology, Singapore, Singapore

    Kyrin Liong

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  1. Emran Poh
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  3. Jeannie S. A. Lee
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Correspondence to Jeannie S. A. Lee .

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Editors and Affiliations

  1. Department of Computer Science, Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Poh, E., Liong, K., Lee, J.S.A. (2021). Mixed Reality Interface for Load Application in Finite Element Analysis. In: Meiselwitz, G. (eds) Social Computing and Social Media: Experience Design and Social Network Analysis . HCII 2021. Lecture Notes in Computer Science(), vol 12774. Springer, Cham. https://doi.org/10.1007/978-3-030-77626-8_32

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  • DOI: https://doi.org/10.1007/978-3-030-77626-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77625-1

  • Online ISBN: 978-3-030-77626-8

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