Abstract

Advanced graphics capabilities have enabled the use of virtual reality as an efficient design technique. The integration of virtual reality in the design phase still faces impediment because of issues linked to the integration of CAD and virtual reality software. A set of empirical tests using the selected conversion parameters was found to yield properly represented virtual reality models. The reduced model yields an R-sq (pred) value of 72.71% and an R-sq (adjusted) value of 86.64%, indicating that 86.64% of the response variability can be explained by the model. The R-sq (pred) is 67.45%, which is not very high, indicating that the model should be further reduced by eliminating insignificant terms. The reduced model yields an R-sq (pred) value of 73.32% and an R-sq (adjusted) value of 79.49%, indicating that 79.49% of the response variability can be explained by the model. Using the optimization software MODE Frontier (Optimization, MOGA-II, 2014), four types of response surfaces for the three considered response variables were tested for the data of DOE. The parameter values obtained using the proposed experimental design methodology result in better graphics quality, and other necessary design attributes.

Highlights

  • Virtual reality (VR) integrates powerful digital computers, with special software and hardware to establish a digital environment

  • The Design of Experiments (DOE) technique was applied in this study, to determine the appropriate parameters to be used in translation procedure

  • The study findings suggest the following values are recommended for diverse computer-aided design (CAD)-VR translation parameters to achieve better quality of graphics: Tolerance 1⁄4 0:01; Chord Length 1⁄4 0:1; and Number of LODs 1⁄4 3: ð6Þ

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Summary

Introduction

Virtual reality (VR) integrates powerful digital computers, with special software and hardware to establish a digital environment. The aim of VR is to create reality that is persuasive as real and interactive to the user [1]. VR technologies have been implemented in the product design process in various industrial sectors, including automotive, aerospace, defense, and bio-engineering [2, 3]. For industries involving intricate products, it is critical to design the geometrical shapes of the product parts using computer-aided design (CAD) packages, and to assess the interior and exterior characteristics prior to building the first prototype. With the aid of advanced visualization systems, VR offers a platform for the design review process.

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