Evidence map›Paper›PMID 40218827›Full record

ArticleSensors (Basel, Switzerland)2025

Optimized Magnetization Distribution in Body-Centered Cubic Lattice-Structured Magnetoelastomer for High-Performance 3D Force-Tactile Sensors.

Hongfei Hou, Ziyin Xiang, Chaonan Zhi, Haodong Hu, Xingyu Zhu, Baoru Bian, Yuanzhao Wu, Yiwei Liu, Xiaohui Yi, Jie Shang and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

11 authors.

Hongfei HouSchool of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
Ziyin XiangCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-6035-5554
Chaonan ZhiCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Haodong HuCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Xingyu ZhuSchool of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
Baoru BianCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Yuanzhao WuCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Yiwei LiuCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.
Xiaohui YiCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0001-7136-1426
Jie ShangCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0003-0996-1038
Run-Wei LiCAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China.

Funding

Chinese Academy of Sciences Youth Innovation Promotion Association 2018334International Partnership Program of Chinese Academy of Sciences 181GJHZ2024138GCNational Key R&D Program of China 2024YFB3814100, 2023YFC3603500National Natural Science Foundation of China U24A6001, 52127803, U24A20228, U22A20248, U22A2075, 62174165, 52301256, 52401257, 52201236, 62204246, M-0152Natural Science Foundation of Zhejiang Province LMS25F040007Natural Science Foundation of Zhejiang Province LQ23F040004Ningbo Key Research and Development Program 2023Z097, 2024Z148, 2024Z143, 2024Z199, 2024Z171Ningbo Natural Science Foundations 2022J288, 2023J049, 2023J326, 2023J345, 2024J068, 2024J241Ningbo Public Welfare Program 2023S067Ningbo Technology Project 2022A-007-CProject of Zhejiang Province 2022R52004Talent Plan of Shanghai Branch, Chinese Academy of Sciences CASSHB-QNPD-2023-022
6 · The paper itself

Abstract

Flexible magnetic tactile sensors hold transformative potential in robotics and human-computer interactions by enabling precise force detection. However, existing sensors face challenges in balancing sensitivity, detection range, and structural adaptability for sensing force. This study proposed a pre-compressed magnetization method to address these limitations by amplifying the magnetoelastic effect through optimized magnetization direction distribution of the elastomer. A body-centered cubic lattice-structured magnetoelastomer featuring regular deformation under compression was fabricated via digital light processing (DLP) to validate this method. Finite element simulations and experimental analyses revealed that magnetizing the material under 60% compression strain optimized magnetization direction distribution, enhancing force-magnetic coupling. Integrating the magnetic elastomer with a hall sensor, the prepared tactile sensor demonstrated a low detection limit (1 mN), wide detection range (0.001-10 N), rapid response/recovery times (40 ms/50 ms), and durability (>1500 cycles). By using machine learning, the sensor enabled accurate 3D force prediction.

Indexed as

3D printingflexible tactile sensorslattice structuremagnetization directionmagnetoelastomer

Identifiers

PMID40218827
PMCPMC11990970

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.