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Table 1.

Material properties used in finite element analysis.

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Table 1 Expand

Fig 1.

Designing of porous implant to solid implant; (a) compressive simulation of porous BCC structure to obtain effective material properties, and (b) Dense and porous implant with effective material properties.

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Fig 1 Expand

Fig 2.

Finite element modeling and analysis of mandible implants; (a) dimensions of modeling of bones, bride crowns, implants, and region of interest, and (b) design parameters, meshes, elements, interactions, loadings, and boundary conditions.

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Fig 2 Expand

Fig 3.

A detailed graphical presentation of the fixation technique of different implants, regions of interest, and bone health.

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Fig 3 Expand

Table 2.

Implantation scenarios with bone health, implant type, ROI and loading conditions.

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Table 2 Expand

Table 3.

Simulation runs for all parameters including bone, implant, ROI, and loading conditions.

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Table 3 Expand

Fig 4.

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

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Fig 4 Expand

Fig 5.

Average strain energy density (SED) in the region of interest (ROI) calculated using iterative calculations of finite element analysis; (a) TUB-1, (b) TUB-2, (c) TUB-3, and (d) TUB-4.

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Fig 5 Expand

Fig 6.

Average Stimulus () in the region of interest (ROI) calculated using iterative calculations of finite element analysis; (a) TUB-1, (b) TUB-2, (c) TUB-3, and (d) TUB-4.

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Fig 6 Expand

Fig 7.

Average Young’s modulus (E) in the region of interest (ROI) calculated using iterative calculations of finite element analysis; (a) TUB-1, (b) TUB-2, (c) TUB-3, (d) TUB-4, and (e) contour plot showing average Young’s moduli (MPa) of all the simulated cases.

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Fig 7 Expand

Fig 8.

A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-1.

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Fig 8 Expand

Fig 9.

A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-2.

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Fig 9 Expand

Fig 10.

A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-3.

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Fig 10 Expand

Fig 11.

A spatial distribution of changes in bone density in the region of interest (ROI) in the case of TUB-4.

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Fig 11 Expand

Fig 12.

A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-1 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7, E10.

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Fig 12 Expand

Fig 13.

A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-2 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7, E10.

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Fig 13 Expand

Fig 14.

A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-3 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7, E10.

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Fig 14 Expand

Fig 15.

A quantitative bone density distribution in the region of interest (ROI) in the case of TUB-4 in the last iteration; (a) P0.45, E110, (b) P0.7, E110, (c) P0.45, E10, and (d) P0.7, E10.

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Fig 15 Expand

Fig 16.

Simulated results of von Mises stresses (MPa) in implants in the cases; (a) TUB-1, (b) TUB-2, (c) TUB-3, and (d) TUB-4.

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Fig 16 Expand

Fig 17.

Contour plot showing von Mises stresses (MPa) in all implants in the last iterations of simulations.

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Fig 17 Expand