可用的
3D打印
制作
计算机科学
过程(计算)
嵌入式系统
软件
计算机硬件
系统工程
计算机体系结构
机械工程
操作系统
工程类
万维网
病理
程序设计语言
替代医学
医学
作者
Shixiang Zhou,Yijing Zhao,Yanran Xun,Zhicheng Wei,Yong Yang,Wentao Yan,Jun Ding
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2024-03-18
卷期号:124 (6): 3608-3643
被引量:6
标识
DOI:10.1021/acs.chemrev.3c00853
摘要
The rapid advancement of intelligent manufacturing technology has enabled electronic equipment to achieve synergistic design and programmable optimization through computer-aided engineering. Three-dimensional (3D) printing, with the unique characteristics of near-net-shape forming and mold-free fabrication, serves as an effective medium for the materialization of digital designs into usable devices. This methodology is particularly applicable to gas sensors, where performance can be collaboratively optimized by the tailored design of each internal module including composition, microstructure, and architecture. Meanwhile, diverse 3D printing technologies can realize modularized fabrication according to the application requirements. The integration of artificial intelligence software systems further facilitates the output of precise and dependable signals. Simultaneously, the self-learning capabilities of the system also promote programmable optimization for the hardware, fostering continuous improvement of gas sensors for dynamic environments. This review investigates the latest studies on 3D-printed gas sensor devices and relevant components, elucidating the technical features and advantages of different 3D printing processes. A general testing framework for the performance evaluation of customized gas sensors is proposed. Additionally, it highlights the superiority and challenges of programmable and modularized gas sensors, providing a comprehensive reference for material adjustments, structure design, and process modifications for advanced gas sensor devices.
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