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Topology optimization process for new designs of ......topology optimization problem. The topology...

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Linköping University | Department of Biomedical Engineering Master thesis, 30 ECTS | Biomedical Engineering Spring term 2016 | LiTH-IMT/BIT30-A-EX--16/540--SE Topology optimization process for new designs of reconstruction plates used for bridging large mandibular defects Linn Lemón Supervisor: Ralf Schumacher IMA, FHNW Examiner: Johannes Johansson IMT, Linköping University The work has been performed at University of Applied Sciences and Arts Northwestern Switzerland School of Life Sciences FHNW [email protected] www.fhnw.ch/ima Linköpings universitet SE-581 83 Linköping 013-28 10 00, www.liu.se
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Page 1: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Linköping University | Department of Biomedical Engineering Master thesis, 30 ECTS | Biomedical Engineering

Spring term 2016 | LiTH-IMT/BIT30-A-EX--16/540--SE

Topology optimization process for new designs of reconstruction plates used for bridging large mandibular defects

Linn Lemón

Supervisor: Ralf Schumacher

IMA, FHNW Examiner: Johannes Johansson

IMT, Linköping University The work has been performed at University of Applied Sciences and Arts Northwestern Switzerland School of Life Sciences FHNW [email protected] www.fhnw.ch/ima

Linköpings universitet

SE-581 83 Linköping

013-28 10 00, www.liu.se

Page 2: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Abstract

Loss of bone in the mandible as a result from for example resection of bone tumors or trauma,

can in more complex cases be reconstructed using a reconstruction plate to provide stability

between the remaining mandible stumps. Different studies on reconstruction plates present a

fracture rate of 2.8-9.8 %. The rate of plate fracture and plate loosening increases the need to

improve the design of the reconstruction plate. A useful tool to find new designs for structures

is topology optimization. Topology optimization is a mathematical based method where it is

possible to define an optimization problem for a specific load case. Based on the defined

problem, the solver calculates the most appropriate design to reach the final goal. The aim of

this work is to investigate, describe, and discuss how new designs for reconstruction plates used

for bridging large mandibular defects can be achieved by using topology optimization as a tool.

Two software programs handling topology optimization from Altair Engineering were used:

SimLab 14.0 and HyperMesh 14.0. Both of them uses the solver OptiStruct to solve the defined

topology optimization problem. The topology optimization problem was defined to minimize

the compliance of the structure with an upper limit of the allowed volume fraction used for the

new design. Three different clenching tasks were examined: right unilateral clench, clenching

in the intercuspal position, and incisal clench. All three load cases resulted in different designs,

the designs were also affected by the initial amount of screws used, and by the defined value

on the allowed thickness of the created parts in the new design. The results gave an initial

understanding of topology optimization, and indicated the possibilities a design process with

topology optimization has to achieve new designs for reconstruction plates used for large

mandibular fractures.

Page 3: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Interpretation of the result

Figure 17. In the uppermost picture the contour plot is applied and all element in the plate are visible. In the three

lower pictures the iso-surface plot are applied with different threshold values: elements with a density above 0.2,

0.3, respective 0.5 are visible. Simulation with the RUC load case, with a volume fraction of 0.2 and a minimum

thickness of 6 mm.

Iso-surface plot:

apply different

threshold values

0.2 0.3 0.5

Page 4: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Upper limit on the volume fraction

Figure 21. Simulations with different values (0.2, 0.3, 0.4, 0.5) applied for the upper limit of the volume fraction

for the load case RUC, with a threshold value of 0.3.

Upper limit of the

volume fraction

0.2 0.3

0.4 0.5

Page 5: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Minimum member size

Figure 24. Simulations with different values of the allowed minimum thickness (3, 4, 5, 6, 7 mm) for the design

with a volume fraction of 0.2 for the load case RUC. Threshold value 0.3.

Minimum thickness

Volume fraction 0.2

4 3

5 6

7

Page 6: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Figure 25. Simulations with different values of the allowed minimum thickness (3, 4, 5, 6 mm) for the design with

a volume fraction of 0.3 for the load case CICP. Threshold value 0.6.

Minimum thickness

Volume fraction 0.3

4 3

5 6

Page 7: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Figure 26. Similarities in the design when a volume fraction of 0.3 and minimum thickness of 6 mm is used

respective a volume fraction of 0.2 and minimum thickness of 5 mm is used as the defined parameters for the RUC

load case. Meanwhile the smaller part in the picture to the right is neglected. Threshold value 0.3.

Volume fraction 0.3

Minimum thickness 6

Volume fraction 0.2

Minimum thickness 5

Volume fraction 0.2 Minimum thickness 6

Page 8: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Number of screws

Figure 27. Different amount of screws used for the load case RUC: 7 on the right side and 4 on the left side, 4 on

both sides, respective 3 on both sides. A volume fraction of 0.2 with a minimum thickness of 3 mm is used.

Threshold values: 0.3, 0.3, respective 0.1.

Changing the initial

amount of screws

4+4 3+3 7+4

Page 9: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Figure 28. Different amount of screws used for the load case CICP: 4 respective 3 on both sides. A volume fraction

of 0.2 with a minimum thickness of 3 mm is used. Threshold value 0.6.

Changing the initial

amount of screws

3+3 4+4

Page 10: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Decreasing muscular forces

Figure 29. The right side muscles scaled to 90 % respective 40 % of the initial muscle force, respective the muscle

forces on both sides scaled to 40 % of the initial muscle force for the load case CICP. A volume fraction of 0.2

and a minimum thickness of 3 mm is used with four screws on each side. Threshold value 0.6.

Force scaled to

40 % on both sides Scaled force on

the right side

90 % 40 %

Page 11: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Comparison of different load cases

Figure 30. The three different load cases RUC, CICP, respective IC, with a volume fraction of 0.2 and a minimum

thickness of 3 respective 6 mm. Threshold value 0.3 for RUC, 0.6 for CICP, and 0.3 respective 0.5 for IC. All

screws are used in the simulations.

Volume fraction 0.2

Minimum thickness 3

Volume fraction 0.2

Minimum thickness 3

Volume fraction 0.2

Minimum thickness 3

Volume fraction 0.2

Minimum thickness 6 Volume fraction 0.2

Minimum thickness 6

Volume fraction 0.2

Minimum thickness 6

RUC CICP IC

Page 12: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Figure 31. Simulations for the two load cases CICP and IC with four screws on both sides, the upper limit on the

volume fraction is set to 0.2 and a minimum thickness of 3 mm is used.

CICP IC

4+4 4+4

Page 13: Topology optimization process for new designs of ......topology optimization problem. The topology optimization problem was defined to minimize the compliance of the structure with

Weighted compliance

Figure 32. Weighted compliance for the load case RUC, CICP, and IC with a volume fraction of 0.2 and a minimum

thickness of 3 mm. In the left case has weighting factor 1 been used for all three load cases, and in the right case

has weighting factor 1, 4.5, and 1.6 been used for respective load case to gain similar compliance for each load

case. Four screws on both sides of the plate has been used. Threshold value of 0.3, respective 0.4.

Weighted compliance

as response

Weighting factors:

1 RUC, 1 CICP, 1 IC Weighting factors:

1 RUC, 4.5 CICP, 1.6 IC

RUC CICP IC


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