Fig 1.
a) Methodology for the selection of translation parameters b) Gearbox assembly model from CAD c) Converted VR model with translation problems.
Table 1.
Values and levels of the most important parameters.
Table 2.
Selection of response variables for CAD-VR translation.
Table 3.
RSM CCD table.
Table 4.
ANOVA table for number of triangles.
Fig 2.
a) Responses surface for Number of Triangles b) Contour plot for Number of Triangles c) Main effects plot for Number of Triangles d) Interaction plot for Number of Triangles.
Table 5.
ANOVA table for file size.
Fig 3.
a) Responses surface for File Size b) Computer plot for File Size c) Main effects for File Size d) Interaction for File Size.
Table 6.
ANOVA table for rendering time.
Fig 4.
a) Response surfaces for Rendering Time b) Contour plots for Rendering Time c) Main effects for Rendering Time d) Interaction plot for Rendering Time.
Table 7.
ANOVA table for graphics quality.
Fig 5.
a) Response surface for Graphics Quality b) Contour plot for Graphics Quality c) Main effects plot for Graphics Quality d) Interaction plot for Graphics Quality.
Fig 6.
a) Actual vs. predicted values for Number of Triangles b) Actual vs. predicted values for File Size c) Actual vs. predicted values for Rendering Time d) Actual vs. predicted values for Graphics Quality.
Fig 7.
a) Matrix of correlations between inputs and responses b) Optimization workflow using MOGA-II and RSM c) 3D bubble chart obtained in the optimization search.
Table 8.
Comparison of response surface models for file size.
Table 9.
Objective function and constraints for the optimization study.
Fig 8.
a) Bubble chart of feasible points b) 4D bubble chart obtained in the optimization search c) Parallel coordinate chart including only feasible points.
Fig 9.
a) Optimal solution at Point 1 (design point 42) b) Optimal solution at point 2 (design point 10) c) Optimal solution at point 3 (design point 2390) d) VR model of the gearbox assembly obtained using the recommended parameters.
Table 10.
Details of the optimal solutions.
Fig 10.
A user analyzing the gearbox model in a semi-immersive virtual environment.