Optimal Design and Additive Manufacturing of Polymeric Metamaterials for Energy Absorption and Impact Mitigation

Article Preview

Abstract:

Architected metamaterials fabricated by additive manufacturing offer deterministic geometries and tunable mechanical properties that can outperform conventional foams in energy absorption and impact mitigation. In this work, origami honeycomb and plate-lattice metamaterial concepts are unified within a common, quantitatively characterised metamaterial. An optimization-based design approach is employed to maximise absorbed energy while keeping the peak stress below a predefined threshold, using metamaterial geometric parameters as design variables. The objective function is evaluated through post-processing of Abaqus compression simulations on automatically generated designs. Owing to the high computational cost, the optimisation is performed using an evolutionary algorithm with a limited number of evaluations, yielding a best-performing design rather than a global optimum. Despite this limitation, the results elucidate the critical roles of buckling in limiting initial peak stress and of contact in enhancing post-peak energy absorption, and they highlight the significant potential for further performance gains through expanded design space exploration.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

213-221

Online since:

April 2026

Export:

Share:

* - Corresponding Author

[1] S. Townsend, R. Adams, M. Robinson, B. Hanna, P. Theobald. 3D printed origami honeycombs with tailored out-of-plane energy absorption behavior, Materials and Design 195 (2020) 108930.

DOI: 10.1016/j.matdes.2020.108930

Google Scholar

[2] L. Smith, B. Hayes, K. Ford, E. Smith, D. Flores, R. MacCurdy. Tunable metamaterials for impact mitigation, Adv. Mat. Technol. 9 (2024) 2301668.

DOI: 10.1002/admt.202301668

Google Scholar

[3] V. Fachinotti, I. Peralta, A. Albanesi, Optimization-based design of an elastostatic cloaking device, Sci. Rep. 8 (2018) 9857.

DOI: 10.1038/s41598-018-28069-7

Google Scholar

[4] Y. Xiao, J. Yin, X. Zhang, X. An, Y. Xiong, Y. Sun. Mechanical performance and cushioning energy absorption characteristics of rigid polyurethane foam at low and high strain rates, Polym. Test. 109 (2022) 107531.

DOI: 10.1016/j.polymertesting.2022.107531

Google Scholar

[5] J. Miltz, G. Gruenbaum, Evaluation of cushioning properties of plastic foams from compressive measurements. Polym. Eng. Sci. 21 (1981) 1010–1014.

DOI: 10.1002/pen.760211505

Google Scholar

[6] B.J. Ramirez, V. Gupta, Evaluation of novel temperature-stable viscoelastic polyurea foams as helmet liner materials, Materials and Design 137 (2018) 298–304.

DOI: 10.1016/j.matdes.2017.10.037

Google Scholar

[7] M. Shinde, I.E. Ramirez-Chavez, A. Potts, D. Bhate, A critical assessment of the onset strain of densification in the evaluation of energy. Manufacturing Letters 41 (2024) 708-719.

DOI: 10.1016/j.mfglet.2024.09.089

Google Scholar

[8] Z. Michalewicz, M. Schoenauer. Evolutionary algorithms for constrained parameter optimization problems. Evolutionary Computation 4 (1996) 1–32.

DOI: 10.1162/evco.1996.4.1.1

Google Scholar

[9] V.D. Fachinotti, S. Gouttebrozze, S. Dumoulin, X. Ren. Integrated computational framework for the optimization of the microstructure in additive manufacturing of metals. Computational Materials Science 256 (2025) 113944.

DOI: 10.1016/j.commatsci.2025.113944

Google Scholar