Evidence map›Paper›PMID 41974651›Full record

ArticleMicrosystems & nanoengineering2026

Triboelectric horology: escapement-inspired design strategy for prolonged energy harvesting under irregular mechanical inputs.

Donghan Lee, Sanghu Ju, Dong Yong Park, Seokhoon Kwon, Yong Woo Jeong, Minsik Choi, Sangjun Lee, Yu-Seop Kim, Sumin Cho, Dongik Kam and 2 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Donghan Lee *Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Sanghu Ju *Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Dong Yong Park *Advanced Mobility Components Group, Korea Institute of Industrial Technology, 320 Techno sunhwan-ro, Daegu, 42994, Republic of Korea.
Seokhoon KwonDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Yong Woo JeongDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Minsik ChoiDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Sangjun LeeDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Yu-Seop KimDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Sumin ChoDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Dongik KamDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea.
Zong-Hong LinDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea. zhlin@ntu.edu.tw.
Dongwhi ChoiDepartment of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, 1732 Deogyeong-daero, Yongin, 17104, Gyeonggi, Republic of Korea. dongwhi.choi@khu.ac.kr.ORCID http://orcid.org/0000-0002-9286-2710

Funding

Ministry of Trade, Industry and Energy (Ministry of Trade, Industry and Energy, Korea) RS-2023-00244330National Research Foundation of Korea (NRF) RS-2024-00344920
6 · The paper itself

Abstract

The intermittent nature of ambient mechanical energy sources such as wind, vibration, and human motion poses a significant challenge for the stable operation of triboelectric nanogenerators (TENGs). To address this issue, this study presents a long-lasting operable triboelectric nanogenerator (LONG), a novel TENG system that utilizes an escapement-based mechanical regulation strategy to convert irregular and low-frequency mechanical inputs into stable and continuous electrical outputs. LONG integrates a rotational TENG system and an escapement mechanism to achieve a controlled and unidirectional rotational motion, thereby prolonging the energy-harvesting duration while minimizing the energy losses due to torque fluctuation. A freestanding-mode TENG, enhanced with electret materials fabricated via corona discharge are adopted to ensure efficient charge induction under low-torque conditions. Parametric studies reveal that key design variables, including spring tension, gear ratio, electret surface potential, and applied mass, significantly influence the output stability and voltage amplitude. The optimized LONG system demonstrated a peak voltage of 300 V, a current of 19 μA, and continuous operation exceeding 3 min from a single winding. Furthermore, its ability to power 125 LEDs, a thermo-hygrometer, and a dust collecting system validates its practical applicability in self-powered systems. Thus, this study introduces a robust design framework for mechanical regulation in TENGs, offering a new pathway for stable energy harvesting from irregular mechanical sources for wearable, environmental, and infrastructure-monitoring applications.

Identifiers

PMID41974651
PMCPMC13076662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.