Inverse Design of Inflatable Soft Membranes Through Machine Learning

Forte, Antonio Elia; Hanakata, Paul Z.; Jin, Lishuai; Zari, Emilia; Zareei, Ahmad; Fernandes, Matheus C.; Sumner, Laura; Alvarez, Jonathan T.; Bertoldi, Katia

doi:10.1002/adfm.202111610

Cited by 41 publications

(20 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimization problems can be solved by using different approaches such as the optimality criteria (OC) method [33,36], the sequential linear/integer programming method [33,39], the method of moving asymptotes [40], and the non-gradient method [41][42][43]. These methods have been used in diverse fields of, for example, additive manufacturing [44,45], metamaterials [46][47][48][49], bionics [32,48,50,51], medical devices [52], flexible electronics [53], soft robotics [54,55] and aerospace [22,27,56].…”

Section: Methodsmentioning

confidence: 99%

Multi-functional topology optimization ofVictoria cruzianaveins

Zhang

Zhou

Fang

et al. 2022

J. R. Soc. Interface.

View full text Add to dashboard Cite

The growth and development of biological tissues and organs strongly depend on the requirements of their multiple functions. Plant veins yield efficient nutrient transport and withstand various external loads. Victoria cruziana , a tropical species of the Nymphaeaceae family of water lilies, has evolved a network of three-dimensional and rugged veins, which yields a superior load-bearing capacity. However, it remains elusive how biological and mechanical factors affect their unique vein layout. In this paper, we propose a multi-functional and large-scale topology optimization method to investigate the morphomechanics of Victoria cruziana veins, which optimizes both the structural stiffness and nutrient transport efficiency. Our results suggest that increasing the branching order of radial veins improves the efficiency of nutrient delivery, and the gradient variation of circumferential vein sizes significantly contributes to the stiffness of the leaf. In the present method, we also consider the optimization of the wall thickness and the maximum layout distance of circumferential veins. Furthermore, biomimetic leaves are fabricated by using the three-dimensional printing technique to verify our theoretical findings. This work not only gains insights into the morphomechanics of Victoria cruziana veins, but also helps the design of, for example, rib-reinforced shells, slabs and dome skeletons.

show abstract

Section: Methodsmentioning

confidence: 99%

Multi-functional topology optimization ofVictoria cruzianaveins

Zhang

Zhou

Fang

et al. 2022

J. R. Soc. Interface.

View full text Add to dashboard Cite

show abstract

“…Morin et al [17] found that the distribution of materials resulted in a high degree of freedom of programmability of the expansion or collapse pattern in their research of elastic cubes made of two soft materials with different stiffness (i.e., Ecoflex and PDMS). Using the same combination of materials, Forte et al [18] recently proposed a machine learning-based framework for the inverse design of the soft membrane that can achieve the pre-programmed deformation under inflation. Dammer et al [5] demonstrated a 3D-printable linear actuator and optimized the geometry parameters to extend its lifetime by considering the maximal strain.…”

Section: B Designing the Mechanical Properties Of Soft Robotsmentioning

confidence: 99%

Optimizing out-of-plane stiffness for soft grippers

Su¹,

Tian²,

Du³

et al. 2022

Preprint

View full text Add to dashboard Cite

In this paper, we presented a data-driven framework to optimize the out-of-plane stiffness for soft grippers to achieve mechanical properties as hard-to-twist and easy-to-bend. The effectiveness of this method is demonstrated in the design of a soft pneumatic bending actuator (SPBA). First, a new objective function is defined to quantitatively evaluate the out-of-plane stiffness as well as the bending performance. Then, sensitivity analysis is conducted on the parametric model of an SPBA design to determine the optimized design parameters with the help of Finite Element Analysis (FEA). To enable the computation of numerical optimization, a data-driven approach is employed to learn a cost function that directly represents the out-of-plane stiffness as a differentiable function of the design variables. A gradient-based method is used to maximize the out-of-plane stiffness of the SPBA while ensuring specific bending performance. The effectiveness of our method has been demonstrated in physical experiments taken on 3D-printed grippers.

show abstract

“…To realize shape-morphing and complex curvature conforming of flat sheets, two strategies have been commonly pursued. One is to introduce inhomogeneous in-plane strains in soft stretchable materials via approaches such as pneumatic inflation ( 1 – 5 ), swelling ( 6 – 9 ), application of electric fields ( 10 , 11 ), and thermal activation ( 12 , 13 ). The other exploits kirigami and origami strategies to program the Gaussian curvatures from inextensible flat sheets ( 14 , 15 ).…”

Section: Introductionmentioning

confidence: 99%

Shape-morphing into 3D curved surfaces with nacre-like composite architectures

et al. 2022

Self Cite

View full text Add to dashboard Cite

Inhomogeneous in-plane deformation of soft materials or cutting and folding of inextensible flat sheets enables shape-morphing from two dimensional (2D) to three-dimensional (3D), while the resulting structures often have weakened mechanical strength. Shells like nacre are known for the superior fracture toughness due to the “brick and mortar” composite layers, enabling stress redistribution and crack stopping. Here, we report an optimal and universal cutting and stacking strategy that transforms composite plies into 3D doubly curved shapes with nacre-like architectures. The multilayered laminate exhibits staggered cut distributions, while the interlaminar shear mitigates the cut-induced mechanical weakness. The experimentally consolidated hemispherical shells exhibit, on average, 37 and 69% increases of compression peak forces, versus those with random cut distributions, when compressed in different directions. Our approach opens a previously unidentified paradigm for shape-conforming arbitrarily curved surfaces while achieving high mechanical performance.

show abstract

Inverse Design of Inflatable Soft Membranes Through Machine Learning

Cited by 41 publications

References 59 publications

Multi-functional topology optimization ofVictoria cruzianaveins

Multi-functional topology optimization ofVictoria cruzianaveins

Optimizing out-of-plane stiffness for soft grippers

Shape-morphing into 3D curved surfaces with nacre-like composite architectures

Contact Info

Product

Resources

About