Multi-objective topology optimization of energy absorbing structures incorporating shape memory polymers: Design, behavior, and recoverability

This study focuses on the design and evaluation of topology-optimized structures to enhance energy absorption performance. A novel curved unit cell (CurvoTopoCell) was designed using a multi-objective topology optimization framework based on a weighted-sum scalarization approach, enabling the simultaneous improvement of stiffness, specific energy absorption, and crush force efficiency. Four distinct configurations (M1–M4) were fabricated via 3D printing with PLA+ filament. Key parameters, including specific energy absorption, mean crushing force, crush force efficiency, equivalent elastic modulus, and energy absorption efficiency coefficient were analyzed across three quasi-static compressive loading cycles and thermal recovery phases. Results demonstrated that the optimized unit cell achieved a 23% improvement in SEA compared to the other unit cells, attributed to reduced mass and enhanced strength. Experimental tests revealed that configuration M1 exhibited the highest initial SEA and Pmean. However, M3 showed superior cyclic stability, with only a 31% decrease in SEA, 25% decline in CFE, and 94.3% height recovery. Key innovations include integrating multi-objective topology optimization with shape-memory material (PLA+) for structural recovery, and introducing four novel configurations with distinct mechanical responses. These findings provide strategies for developing lightweight, reusable energy absorbers in automotive and aerospace applications.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2026-03-13
DOI
https://doi.org/10.1016/j.jmrt.2026.03.069
Primary Topic
Topology Optimization in Engineering
Type
article
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article

Multi-objective topology optimization of energy absorbing structures incorporating shape memory polymers: Design, behavior, and recoverability

Amin Farrokhabadi, Shahram Hosseini, Rmina Nazari
Journal of Materials Research and Technology
Topology Optimization in Engineering
article

Multi-objective topology optimization of energy absorbing structures incorporating shape memory polymers: Design, behavior, and recoverability

Amin Farrokhabadi, Shahram Hosseini, Rmina Nazari
article en

Abstract

This study focuses on the design and evaluation of topology-optimized structures to enhance energy absorption performance. A novel curved unit cell (CurvoTopoCell) was designed using a multi-objective topology optimization framework based on a weighted-sum scalarization approach, enabling the simultaneous improvement of stiffness, specific energy absorption, and crush force efficiency. Four distinct configurations (M1–M4) were fabricated via 3D printing with PLA+ filament. Key parameters, including specific energy absorption, mean crushing force, crush force efficiency, equivalent elastic modulus, and energy absorption efficiency coefficient were analyzed across three quasi-static compressive loading cycles and thermal recovery phases. Results demonstrated that the optimized unit cell achieved a 23% improvement in SEA compared to the other unit cells, attributed to reduced mass and enhanced strength. Experimental tests revealed that configuration M1 exhibited the highest initial SEA and Pmean. However, M3 showed superior cyclic stability, with only a 31% decrease in SEA, 25% decline in CFE, and 94.3% height recovery. Key innovations include integrating multi-objective topology optimization with shape-memory material (PLA+) for structural recovery, and introducing four novel configurations with distinct mechanical responses. These findings provide strategies for developing lightweight, reusable energy absorbers in automotive and aerospace applications.

Journal of Materials Research and TechnologyVol. 42
University of Nottingham Ningbo China (CN), Tarbiat Modares University (IR)
Affordable and clean energy
Openalex Percentile: Top 25%
Topology Optimization in Engineering
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