Evidence map›Paper›PMID 40727283›Full record

ArticleRSC advances2025

Bimetallic FeNi-MOF@Al-foam metal composites for enhanced broadband noise reduction: sound absorption performance analysis and materials structural optimization.

Yang Gao, Yan Gao, Xiaoxu Zhang, Jingchuan Guo, Guohong Tian, Delika M Weragoda

Abstract read
In one paragraph

Article in RSC advances, 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

6 authors.

Yang GaoSchool of Music, Qilu Normal University Jinan 250200 China 20156378@qlnu.edu.cn.ORCID https://orcid.org/0000-0002-3768-5838
Yan GaoSchool of Thermal Engineering, Shandong Jianzhu University Jinan 250013 China.
Xiaoxu ZhangSchool of Thermal Engineering, Shandong Jianzhu University Jinan 250013 China.
Jingchuan GuoSchool of Thermal Engineering, Shandong Jianzhu University Jinan 250013 China.
Guohong TianSchool of Mechanical Engineering Sciences, University of Surrey Guildford Surrey GU2 7XH UK.
Delika M WeragodaSchool of Mechanical Engineering Sciences, University of Surrey Guildford Surrey GU2 7XH UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise pollution significantly impacts human health and quality of life. This study developed FeNi-MOF@Al-FM composite materials for enhanced sound absorption and addressed limitations of traditional acoustic materials. FeNi-MOF@Al-FM composites were synthesized by loading FeNi-MOF onto aluminum foam metal (FM) substrates with various thicknesses (5-15 mm) and mass ratios (5-20%). Microscopic characterization confirmed the successful synthesis of hexagonal spindle-type FeNi-MOF structures. XRD analysis showed that nickel doping caused slight lattice changes while maintaining the crystal structure. FTIR identified characteristic functional groups, and XPS confirmed Fe-Ni co-doping with multiple nitrogen species. Acoustic testing revealed that sound absorption capacity increased with material thickness, with 15 mm composites performing best across all frequencies. At a fixed 5 mm thickness, increased FeNi-MOF loading significantly enhanced absorption, as 20% mass ratio composites achieved an absorption coefficient of 0.82 at 4000 Hz, representing a 3.7-fold improvement over unloaded samples. Absorption mechanisms were proposed: low-frequency resonance absorption (600 Hz) originating from microstructures between MOF and foam metal, and high-frequency porous absorption resulting from viscous/thermal dissipation within hierarchical pores. These findings establish structure-performance relationships for FeNi-MOF@Al-FM composites and demonstrate potential applications in noise control, architectural acoustics, and instrument vibration isolation.

Identifiers

PMID40727283
PMCPMC12302351

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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.