Evidence map›Paper›PMID 40108126›Full record

ReviewMicrosystems & nanoengineering2025

Digital light processing 3D printing of flexible devices: actuators, sensors and energy devices.

Jiuhong Yi, Shuqi Yang, Liang Yue, Iek Man Lei

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  9. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jiuhong YiDepartment of Electromechanical Engineering, University of Macau, Macao, 999078, China.
Shuqi YangDepartment of Electromechanical Engineering, University of Macau, Macao, 999078, China.
Liang YueSmart Manufacturing Thrust, Hong Kong University of Science and Technology, Guangzhou, 511458, China.
Iek Man LeiDepartment of Electromechanical Engineering, University of Macau, Macao, 999078, China. ieklei@um.edu.mo.ORCID http://orcid.org/0000-0002-6337-1592

Funding

Fundo para o Desenvolvimento das Ciências e da Tecnologia (Science and Technology Development Fund) 0009/2023/ITP1Fundo para o Desenvolvimento das Ciências e da Tecnologia (Science and Technology Development Fund) 0119/2022/A3Universidade de Macau (University of Macau) MYRG-GRG2023-00225-FST-UMDFUniversidade de Macau (University of Macau) SRG2022-00038-FST
6 · The paper itself

Abstract

Flexible devices are increasingly crucial in various aspects of our lives, including healthcare devices and human-machine interface systems, revolutionizing human life. As technology evolves rapidly, there is a high demand for innovative manufacturing methods that enable rapid prototyping of custom and multifunctional flexible devices with high quality. Recently, digital light processing (DLP) 3D printing has emerged as a promising manufacturing approach due to its capabilities of creating intricate customized structures, high fabrication speed, low-cost technology and widespread adoption. This review provides a state-of-the-art overview of the recent advances in the creation of flexible devices using DLP printing, with a focus on soft actuators, flexible sensors and flexible energy devices. We emphasize how DLP printing and the development of DLP printable materials enhance the structural design, sensitivity, mechanical performance, and overall functionality of these devices. Finally, we discuss the challenges and perspectives associated with DLP-printed flexible devices. We anticipate that the continued advancements in DLP printing will foster the development of smarter flexible devices, shortening the design-to-manufacturing cycles.

Identifiers

PMID40108126
PMCPMC11923083

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.