Evidence map›Paper›PMID 38138337›Full record

ArticleMicromachines2023

The Influence of Laser Process Parameters on the Adhesion Strength between Electroless Copper and Carbon Fiber Composites Determined Using Response Surface Methodology.

Xizhao Wang, Jianguo Liu, Haixing Liu, Zhicheng Zhou, Zhongli Qin, Jiawen Cao

Abstract read
In one paragraph

Article in Micromachines, 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

6 authors.

Xizhao WangInstitute of Laser and Intelligent Manufacturing Technology, South-Central Minzu University, Wuhan 430074, China.ORCID 0000-0002-1772-6807
Jianguo LiuWuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology (HUST), Wuhan 430074, China.
Haixing LiuInstitute of Laser and Intelligent Manufacturing Technology, South-Central Minzu University, Wuhan 430074, China.
Zhicheng ZhouWuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology (HUST), Wuhan 430074, China.
Zhongli QinSchool of Electronics and Information Engineering, Hubei University of Science and Technology, Xianning 437100, China.
Jiawen CaoSchool of Electronics and Information Engineering, Hubei University of Science and Technology, Xianning 437100, China.

Funding

Central Universities for South-Central Minzu University CZQ21029Doctoral Research Fund of Hubei Institute of Science and Technology BK202103Innovation and Entrepreneurship Key Incubation Project of Hubei University of Science and Technology 2022, No18Open Project Program of Wuhan National Laboratory for Optoelectronics 2021WNLOKF017
6 · The paper itself

Abstract

Laser process technology provides a feasible method for directly manufacturing surface-metallized carbon fiber composites (CFCs); however, the laser's process parameters strongly influence on the adhesion strength between electroless copper and CFCs. Here, a nanosecond ultraviolet laser was used to fabricate electroless copper on the surface of CFCs. In order to achieve good adhesion strength, four key process parameters, namely, the laser power, scanning line interval, scanning speed, and pulse frequency, were optimized experimentally using response surface methodology, and a central composite design was utilized to design the experiments. An analysis of variance was conducted to evaluate the adequacy and significance of the developed regression model. Also, the effect of the process parameters on the adhesion strength was determined. The numerical analysis indicated that the optimized laser power, scanning line interval, scanning speed, and pulse frequency were 5.5 W, 48.2 μm, 834.0 mm/s, and 69.5 kHz, respectively. A validation test confirmed that the predicted results were consistent with the actual values; thus, the developed mathematical model can adequately predict responses within the limits of the laser process parameters being used.

Indexed as

adhesion strengthcarbon fiber compositeslaser process parametersoptimizationresponse surface methodology

Identifiers

PMID38138337
PMCPMC10744980

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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.