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Research Article

The stacking sequence optimisation of a filament wound composite bicycle frame using the data-driven evolutionary algorithm EvoDN2

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Article: 2347899 | Received 15 Feb 2024, Accepted 19 Apr 2024, Published online: 08 May 2024

Figures & data

Figure 1. Bicycle frame geometry 3D.

Figure 1. Bicycle frame geometry 3D.

Figure 2. Beam model based on 3D geometry.

Figure 2. Beam model based on 3D geometry.

Table 1. Parameters of the bicycle frame beam model.

Table 2. Composite material mechanical properties.

Figure 3. Position of loaded points.

Figure 3. Position of loaded points.

Table 3. Starting load case definition (Forces Fx, Fy, Fz [N] and moments Mx, My, Mz [Nmm]).

Table 4. Uphill load case definition (Forces Fx, Fy, Fz [N] and moments Mx, My, Mz [Nmm]).

Figure 4. Refining objectives through sequential cycles (Uphill): 1ply and TW.

Figure 4. Refining objectives through sequential cycles (Uphill): 1ply and TW.

Figure 5. Refining objectives through sequential cycles (Starting): 1ply and TW.

Figure 5. Refining objectives through sequential cycles (Starting): 1ply and TW.

Table 5. Bicycle frame parameters obtained as a result of cyclic optimisation (Starting LC, 1ply winding).

Table 6. Modified parameters and corresponding objectives (Starting LC, 1ply winding).

Table 7. Isotropic material mechanical properties.

Table 8. Objectives comparison (starting load case).

Table 9. Objectives comparison (uphill load case).

Figure 6. Comparison of normalised stiffness and strength ratios for various materials.

Figure 6. Comparison of normalised stiffness and strength ratios for various materials.