PSI - Issue 32

Daria Dolgikh et al. / Procedia Structural Integrity 32 (2021) 246–252 D. Dolgikh, M. Tashkinov / Structural Integrity Procedia 00 (2019) 000–000

252

7

After the optimization process, the total weight of structures was significantly reduced, down to about 20-30% of the original weight. 4. Conclusions This paper presents an approach for a topological optimization process for the biomimetic random bicontinuous structures. This approach was applied for minimizing the strain energy of random structures with various volume fraction. Each cellular structure has its own unique geometry. Finite element models of the morphology of the structures were created. Topological optimization significantly reduced not only the deformation energy of the structures, but also minimized the weight and lowered value of the maximum stresses generated in the structure. The study showed that the topology optimization process based on the energy minimization algorithm yields positive results for random mesh structures. However, for more complex structures, it is necessary to additionally use mesh smoothing techniques. In the future, this approach can be used for tailoring the properties of the 3D-printed objects. Acknowledgements The reported study was funded by RFBR and Perm Territory, project number 20-48-596011. References A.R. Parkinson, R.J. Balling, J.D.H., 2013. Optimization Methods for Engineering Design, Brigham Young University. Alsheghri, A., Reznikov, N., Piché, N., McKee, M.D., Tamimi, F., Song, J., 2021. Optimization of 3D network topology for bioinspired design of stiff and lightweight bone-like structures. Mater. Sci. Eng. C 123, 112010. https://doi.org/10.1016/j.msec.2021.112010 Ashby, M., 2013. Designing architectured materials. Scr. Mater. 68, 4–7. https://doi.org/10.1016/j.scriptamat.2012.04.033 Bargmann, S., Klusemann, B., Markmann, J., Schnabel, J.E., Schneider, K., Soyarslan, C., Wilmers, J., 2018. Generation of 3D representative volume elements for heterogeneous materials: A review. Prog. Mater. Sci. 96, 322–384. https://doi.org/10.1016/j.pmatsci.2018.02.003 Bi, S., Chen, E., Gaitanaros, S., 2020. Additive manufacturing and characterization of brittle foams. Mech. Mater. 145, 103368. https://doi.org/10.1016/j.mechmat.2020.103368 Brechet, Y., Embury, J.D., 2013. Architectured materials: Expanding materials space. Scr. Mater. 68, 1–3. https://doi.org/10.1016/j.scriptamat.2012.07.038 Chen, G., Pettet, G.J., Pearcy, M., McElwain, D.L.S., 2007. Modelling external bone adaptation using evolutionary structural optimisation. Biomech. Model. Mechanobiol. https://doi.org/10.1007/s10237-006-0055-9 G., W., Papalambros, P.Y., Wilde, D.J., 1992. Principles of Optimal Design--Modeling and Computation. Math. Comput. 59, 726. https://doi.org/10.2307/2153090 Pang, T .Y., Fard, M., 2020. Reverse engineering and topology optimization for weight‐reduction of a bell‐crank. Appl. Sci. 10, 1 –16. https://doi.org/10.3390/app10238568 Tashkinov, M.A., 2021. Multipoint stochastic approach to localization of microscale elastic behavior of random heterogeneous media. Comput. Struct. 249, 106474. https://doi.org/10.1016/j.compstruc.2020.106474 Verma, S., Sharma, N., Kango, S., Sharma, S., 2021. Developments of PEEK (Polyetheretherketone) as a biomedical material: A focused review. Eur. Polym. J. 147, 110295. https://doi.org/10.1016/j.eurpolymj.2021.110295 Wainwright, S.A., Biggs, W.D., Currey, J.D., Gosline, J.M., 2020. Mechanical Design in Organisms, Mechanical Design in Organisms. Princeton University Press. https://doi.org/10.2307/j.ctv143mdjg Yang, Y., Song, X., Li, X., Chen, Z., Zhou, C., Zhou, Q., Chen, Y., 2018. Recent Progress in Biomimetic Additive Manufacturing Technology: From Materials to Functional Structures. Adv. Mater. 30, 1–34. https://doi.org/10.1002/adma.201706539