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3D Printing‐Enabled Design and Manufacturing Strategies for Batteries: A Review

3D打印 制造工程 材料科学 纳米技术 计算机科学 机械工程 工程类
作者
Nathan Fonseca,Sri Vaishnavi Thummalapalli,Sayli Jambhulkar,Dharneedar Ravichandran,Yuxiang Zhu,Dhanush Patil,Varunkumar Thippanna,Arunachalam Ramanathan,Weiheng Xu,Shenghan Guo,Hyunwoong Ko,Mofe Fagade,A.M. Kannan,Qiong Nian,Amir Asadi,Guillaume Miquelard‐Garnier,Anna Dmochowska,Mohammad K. Hassan,Maryam Al‐Ejji,Hassan M. El‐Dessouky
出处
期刊:Small [Wiley]
卷期号:19 (50): 6-e2302718 被引量:60
标识
DOI:10.1002/smll.202302718
摘要

Abstract Lithium‐ion batteries (LIBs) have significantly impacted the daily lives, finding broad applications in various industries such as consumer electronics, electric vehicles, medical devices, aerospace, and power tools. However, they still face issues (i.e., safety due to dendrite propagation, manufacturing cost, random porosities, and basic & planar geometries) that hinder their widespread applications as the demand for LIBs rapidly increases in all sectors due to their high energy and power density values compared to other batteries. Additive manufacturing (AM) is a promising technique for creating precise and programmable structures in energy storage devices. This review first summarizes light, filament, powder, and jetting‐based 3D printing methods with the status on current trends and limitations for each AM technology. The paper also delves into 3D printing‐enabled electrodes (both anodes and cathodes) and solid‐state electrolytes for LIBs, emphasizing the current state‐of‐the‐art materials, manufacturing methods, and properties/performance. Additionally, the current challenges in the AM for electrochemical energy storage (EES) applications, including limited materials, low processing precision, codesign/comanufacturing concepts for complete battery printing, machine learning (ML)/artificial intelligence (AI) for processing optimization and data analysis, environmental risks, and the potential of 4D printing in advanced battery applications, are also presented.
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