Evidence map›Paper›PMID 38767180›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Additive Manufacturing Provides Infinite Possibilities for Self-Sensing Technology.

Daobing Chen, Zhiwu Han, Junqiu Zhang, Longjian Xue, Sheng Liu

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Mechanism-Aware Digital Twin for High-Temperature Creep Prediction in Mo-Re Alloys.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Microstructural Origin of Nonmonotonic Piezoresistivity in Polymer Nanocomposites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Additive Manufacturing Provides Infinite Possibilities for Self-Sensing Technology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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

5 authors.

Daobing ChenThe Institute of Technological Science, Wuhan University, South Donghu Road 8, Wuhan, 430072, China.
Zhiwu HanThe Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Junqiu ZhangThe Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Longjian XueSchool of Power and Mechanical Engineering, Wuhan University, South Donghu Road 8, Wuhan, 430072, China.ORCID https://orcid.org/0000-0001-5512-747X
Sheng LiuThe Institute of Technological Science, Wuhan University, South Donghu Road 8, Wuhan, 430072, China.

Funding

Fundamental Research Funds for the Central UniversitiesNational Key R&D Program of China 2022YFB4701000National Natural Science Foundation of China 51835006National Natural Science Foundation of China 52105296National Natural Science Foundation of China 52175269National Natural Science Foundation of China 52373119Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Wuhan University) EMPI2023020
6 · The paper itself

Abstract

Integrating sensors and other functional parts in one device can enable a new generation of integrated intelligent devices that can perform self-sensing and monitoring autonomously. Applications include buildings that detect and repair damage, robots that monitor conditions and perform real-time correction and reconstruction, aircraft capable of real-time perception of the internal and external environment, and medical devices and prosthetics with a realistic sense of touch. Although integrating sensors and other functional parts into self-sensing intelligent devices has become increasingly common, additive manufacturing has only been marginally explored. This review focuses on additive manufacturing integrated design, printing equipment, and printable materials and stuctures. The importance of the material, structure, and function of integrated manufacturing are highlighted. The study summarizes current challenges to be addressed and provides suggestions for future development directions.

Indexed as

additive manufacturingintelligent componentsproprioceptorsself‐sensing

Identifiers

PMID38767180
PMCPMC11267329

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.