Evidence map›Paper›PMID 35746163›Full record

ArticleSensors (Basel, Switzerland)2022

Utilizing Piezo Acoustic Sensors for the Identification of Surface Roughness and Textures.

Kayra Kurşun, Fatih Güven, Hakan Ersoy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Advances in Non-Destructive Testing Methods.Materials (Basel, Switzerland) · 2024
    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

3 authors.

Kayra KurşunDepartment of Mechanical Engineering, Akdeniz University, Antalya 07070, Turkey.ORCID 0000-0001-9815-4910
Fatih GüvenDepartment of Machinery and Metal Technologies, Başkent OSB Vocational School of Technical Sciences Hacettepe University, Ankara 06909, Turkey.
Hakan ErsoyDepartment of Mechanical Engineering, Akdeniz University, Antalya 07070, Turkey.ORCID 0000-0001-8770-6150

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines surface roughness measurements via piezo acoustic disks and appropriate signal processing. Surface roughness is one characteristic of surface texture that can have various irregularities inherent to manufacturing methods. The surface roughness parameters and corresponding surface profiles are acquired by a stylus profilometer. Simultaneously, elastic waves propagated along metal surfaces caused by the friction of a diamond tip are obtained in the form of raw sound via piezo acoustic disks. Frequency spectrum analysis showed apparent correlations between the traditionally obtained measurement parameters and the piezo acoustic measurement data. Thus, it is concluded that acoustic friction measurement shows promising results as a novel measurement method for the surface roughness states of certain materials.

Indexed as

acousticmachiningmeasurementroughness

Identifiers

PMID35746163
PMCPMC9228140

What OpenQuestion holds

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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.