Huilin Ren, Xiaodan Yang, Zhenhu Wang, Xuguang Xu, Rong Wang, Qi Ge, Yi Xiong
{"title":"Smart structures with embedded flexible sensors fabricated by fused deposition modeling-based multimaterial 3D printing","authors":"Huilin Ren, Xiaodan Yang, Zhenhu Wang, Xuguang Xu, Rong Wang, Qi Ge, Yi Xiong","doi":"10.1080/19475411.2022.2095454","DOIUrl":null,"url":null,"abstract":"ABSTRACT Smart structures have the advantages of high system integrity and diverse sensing capabilities. However, the labor-intensive and time-consuming fabrication process hinders the large-scale adoption of smart structures. Despite recent attempts to develop sensor-embedded structures using 3D printing technologies, the reported smart structures generally suffer from the complex fabrication process, constrained part size, and limited sensing modality. Herein, we propose a workflow to design and fabricate novel smart structures via multimaterial fused deposition modeling (FDM)-based 3D printing. More specifically, conductive filaments with tailorable mechanical and electrical properties, e.g. piezoresistive effects, were developed. Additionally, the printing process was optimized for processing soft filaments with Young’s modulus around 2 MPa, resolving the issue of filament buckling. Furthermore, the potential applications of the proposed workflow were showcased using three design cases, i.e. biaxial strain sensor, smart tire, and cable-driven soft finger with multiple sensing capabilities. This workflow provides a cost-effective and rapid solution for developing novel smart structures with soft materials. Graphical Abstract","PeriodicalId":48516,"journal":{"name":"International Journal of Smart and Nano Materials","volume":"13 1","pages":"447 - 464"},"PeriodicalIF":4.5000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart and Nano Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/19475411.2022.2095454","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 8
Abstract
ABSTRACT Smart structures have the advantages of high system integrity and diverse sensing capabilities. However, the labor-intensive and time-consuming fabrication process hinders the large-scale adoption of smart structures. Despite recent attempts to develop sensor-embedded structures using 3D printing technologies, the reported smart structures generally suffer from the complex fabrication process, constrained part size, and limited sensing modality. Herein, we propose a workflow to design and fabricate novel smart structures via multimaterial fused deposition modeling (FDM)-based 3D printing. More specifically, conductive filaments with tailorable mechanical and electrical properties, e.g. piezoresistive effects, were developed. Additionally, the printing process was optimized for processing soft filaments with Young’s modulus around 2 MPa, resolving the issue of filament buckling. Furthermore, the potential applications of the proposed workflow were showcased using three design cases, i.e. biaxial strain sensor, smart tire, and cable-driven soft finger with multiple sensing capabilities. This workflow provides a cost-effective and rapid solution for developing novel smart structures with soft materials. Graphical Abstract
期刊介绍:
The central aim of International Journal of Smart and Nano Materials is to publish original results, critical reviews, technical discussion, and book reviews related to this compelling research field: smart and nano materials, and their applications. The papers published in this journal will provide cutting edge information and instructive research guidance, encouraging more scientists to make their contribution to this dynamic research field.