Isogeometric Shape Optimization of Auxetics in the Nonlinear Regime
Researchers: Deepak Pokkalla, Zhenpei Wang, Leong Hien Poh, Ser Tong Quek
Auxetics is a class of structural and/or functional materials that expand (contract) transversely when stretched (compressed) in the axial direction, exhibiting a negative Poisson’s ratio (NPR) phenomenon.
Due to this counterintuitive behavior, auxetics boasts enhanced mechanical properties with many potential applications in civil, automotive, aerospace, and medical fields.
Smoothed petal auxetics with prescribed nonlinear deformation
The primary objective of my doctoral research is to develop an isogeometric shape optimization framework based on sensitivity analysis for designing smoothed petal auxetics with prescribed nonlinear deformation.
The versatility of the proposed shape optimization framework for smoothed petal auxetics is demonstrated here through two examples. The details can be found in the paper.
The first example focuses on designing the hexa-petals structure to achieve constant Poisson’s ratios ranging from null value to -0.5 to an effective tensile strain of 50%. The design optimization history for a targeted Poisson’s ratio of null value is presented below.
The optimized hexa-petals structures and deformed configurations at 25% and 50% longitudinal strains are depicted below.
The performance of the optimized hexa-petals structures for different prescribed Poisson’s ratios of {0, -0.1, -0.2, -0.3, -0.4, -0.5} is summarized below, where the Poisson’s ratios are close to the target Poisson’s ratios in the desired interval.
The second example showcases the shape optimization of smoothed the hexa-petals structure under plane stress condition for targeted nonlinear deformation behavior of the cat’s skin up to 90% tensile strain. The deformation of an auxetic patch made up of optimized structure along with its performance is illustrated here:
Missing rib auxetics with programmable Poisson’s ratios
In the second part, the isogeometric analysis (IGA) is combined with the genetic algorithm in MATLAB to further explore auxetic architectures. The objective is to obtain missing rib architectures with programmable Poisson’s ratios over large strains (~ 50%) in tension and perform experimental validation.
A comparison of simulation and experiment for a prescribed Poisson’s ratio of -0.6 to an effective tensile strain of 50% is presented here.
The optimized missing rib architectures for different values of constant Poisson’s ratios together with the deformed configurations at 25% and 50% tensile strains are illustrated here.
The comparison between numerical and experimental Poisson’s ratios of missing rib architectures in tension is presented below and an excellent quantitative agreement between the numerical and experimental results is evident.
Conclusion
The isogeometric shape optimization framework developed is a powerful tool to design metamaterials with prescribed nonlinear mechanical properties. In this work, the versatility of the sensitivity analysis and genetic algorithm based frameworks is demonstrated through various numerical examples and experimental validation on specimens fabricated using additive manufacturing. The optimized auxetic architectures can be used for stretchable electronics and tissue engineering applications. The optimization framework can be extended to design acoustic or phononic metamaterials for engineering applications such as shock absorption, acoustic imaging, and therapy devices.