Evidence map›Paper›PMID 37688183›Full record

ArticlePolymers2023

Morphological Characterization and Failure Analysis of the Ultrasonic Welded Single-Lap Joints.

Quanyue Zhao, Hantai Wu, Xinyu Chen, Xiaoxuan Chen, Shuaiheng Xu, Chunwang He, Tian Zhao

Abstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Quanyue ZhaoInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Hantai WuInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Xinyu ChenInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Xiaoxuan ChenInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Shuaiheng XuInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Chunwang HeInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.
Tian ZhaoInstitute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasonic welding technology represents an advanced method for joining thermoplastic composites. However, there exists a scarcity of systematic investigations into welding parameters and their influence on the morphological characteristics and quality of the welded regions. Furthermore, a comprehensive experimental understanding of the welded joint failure mechanisms remains deficient. A robust model for simulating the failure behavior of welded joints under loading has yet to be formulated. In this study, ultrasonic welded specimens were fabricated using distinct welding control methods and varied parameter combinations. Diverse experimental methodologies are employed to assess the morphological features of the welded areas, ascertain specimen strength, and observe welding interface failure modes. Based on a cohesive model, a finite element model is developed to predict the strength of the ultrasonic welded joints and elucidate the failure mechanisms. The results showed that, under identical welding parameters, the specimens welded with a high amplitude and low welding force exhibit superior welding quality. The specimens produced under displacement control exhibit minimal dispersion in strength. The proposed finite element model effectively prognosticates both welded joint strength and failure modes.

Indexed as

damage mechanicsfinite element analysis (FEA)thermoplastic compositesultrasonic welding

Identifiers

PMID37688183
PMCPMC10489989

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Registered trials

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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.