Evidence map›Paper›PMID 37929129›Full record

ReviewACS omega2023

Surface Treat Method to Improve the Adhesion between Stainless Steel and Resin: A Review.

Bing Du, Xinyu Zhou, Qichang Li, Jingwei Liu, Yuxi Liu, Xianjun Zeng, Xiangrong Cheng, Hanjie Hu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Bing DuChongqing Key Laboratory of Nano-Micro Composite Materials and Devices, School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.ORCID https://orcid.org/0000-0003-4178-9434
Xinyu ZhouChongqing Key Laboratory of Nano-Micro Composite Materials and Devices, School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Qichang LiChongqing Key Laboratory of Nano-Micro Composite Materials and Devices, School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Jingwei LiuChongqing Key Laboratory of Nano-Micro Composite Materials and Devices, School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Yuxi LiuSchool of Smart Health, Chongqing College of Electronic Engineering, Chongqing 401331, China.
Xianjun ZengThe Green Aerotechnics Research Institute of CQJTU, Chongqing 401120, China.
Xiangrong ChengChongqing Key Laboratory of Nano-Micro Composite Materials and Devices, School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Hanjie HuSchool of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining metal and polymer into hybrid composite materials is finding increasing interest in many industries. Special attention is being paid to increase the adhesion between the metal and polymer interface. In this paper, the current research progress of surface treatment methods for improving the interfacial adhesion of stainless steel and resin is reviewed. It involves the stainless steel surface treatment method, resin surface treatment method, and adhesion test methods of stainless steel and resin. The methods of improving the interfacial adhesion of stainless steel and resin are summarized and prospected according to the research status.

Identifiers

PMID37929129
PMCPMC10620901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.