Abstract
Wearable strain sensors have been attracting increased interest in human motion detection. To meet the demands of complex realistic situations, directed elaborate nanostructure design is indispensable. However, the lack of an efficient numerical calculation method for the prediction and analysis of resistance-strain response behavior greatly restricts sensors’ applications. In this work, a numerical calculation method based on Breadth-First Searching of nanostructured Conductive Network Paths (BFS-CNP) is demonstrated to precisely analyze the relationship between nanostructure and strain sensitivity. The multilayer-segregated structure was applied to illustrate how the numerical system works in the analysis of structure design and prediction of sensing performance. Strain sensors with different strain-sensing performances are developed under the guidance of the numerical calculation method for different applications, such as grasping and pronunciations. This work gives valuable guidance for the numerical analysis of nanostructures and provides critical insight into the nanostructure design for flexible strain sensors.
Highlights
The nanostructure design of these soft conductive sensing composites is the key issue on the current researches, while different nanostructure design leading to completely different sensing performance and applications
Existing researches on nanostructure designs mainly focus on fabricating process and sensing performance measurement with few discussions on the relationship between structure design and sensitivity, which greatly restricts these soft sensing composites’ applications in complex realistic situations
Inspired by the graph traversal algorithm, we propose a Breadth-First Searching of nanostructured Conductive Network Paths (BFS-CNP) based numerical calculation method to scitation.org/journal/adv quantitatively explore the structure-property relationship of the conductive composites
Summary
Flexible strain sensors have been widely studied for their remarkable resistance-strain response behavior and been envisioned to play an important role in a wide range of areas, such as robotics, health monitoring, and deployable devices in aerospace. The nanostructure design of these soft conductive sensing composites is the key issue on the current researches, while different nanostructure design leading to completely different sensing performance and applications. existing researches on nanostructure designs mainly focus on fabricating process and sensing performance measurement with few discussions on the relationship between structure design and sensitivity, which greatly restricts these soft sensing composites’ applications in complex realistic situations. a numerical calculation method for the exploration of the relationship between specific nanostructure design and sensing performance is critical and highly attractive. Existing researches on nanostructure designs mainly focus on fabricating process and sensing performance measurement with few discussions on the relationship between structure design and sensitivity, which greatly restricts these soft sensing composites’ applications in complex realistic situations.. The obtained evaluation system reveals the influence of the morphological structure of the conductive network and its evolution on the resistance response behavior, and provides an efficient and accurate analysis for the design and analysis of complex micro-nano structures. This work introduces a numerical calculation method which achieves precise design of nanostructured strain sensors for different applications, and be applied to guide the structural design of other electronic devices, such as supercapacitors, flexible batteries, soft robotics, etc
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