Damage Evolution of Double-Sided Copper Conductor on Multi-layer Flexible Substrate Under Bending

Chen, Rui; Chow, Justin; Sitaraman, Suresh K.

doi:10.1109/ectc51906.2022.00122

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…In the actual applications of flexible conductors, different mechanical loading conditions or a combination of them, are applied, such as stretching, bending, twisting and folding. The serpentine shape is one of the most popular structures due to its superior performance in various mechanical loading conditions, as discussed in previous work [12,[21][22][23][24][25][26][27]. In an early study, a so-called self-similar serpentine structure was proposed as the flexible interconnects for a flexible battery system [28,29].…”

Section: Introductionmentioning

confidence: 99%

An automatic numerical approach to optimize flexible serpentine structure design

Chen¹,

Sitaraman²

2022

Flex. Print. Electron.

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The serpentine shape has been increasingly popular for the conductor design in flexible electronics due to its superior compliance and stretchability performance. The stretchability of the serpentine structure is highly dependent on the material strain threshold, serpentine geometry design, and the attachment substrate property. Therefore, identifying the parameters and their corresponding importance factors to the stretchability of the structure will help optimize the serpentine geometry. In the current work, a fully automated finite-element model has been developed to calculate the normalized maximum strain in the free-standing serpentine structure under uniaxial stretch loading conditions. A parametric study has been conducted to understand the serpentine geometry impacts on the maximum strain in the serpentine structure under the equivalent 10% uniaxial strain loading condition. The study shows that longer straight-line length, larger arc segment angle, and smaller serpentine with a fixed arc segment radius can help to reduce the maximum strain in the serpentine structure under uniaxial stretching. A random forest machine learning model suggests that the serpentine width and arc segment angle have the highest impact on the maximum strain in the serpentine structure. In the end, the proposed optimization strategy has also been used to optimize the strain distribution when the serpentine structure is attached to a polymer substrate.

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