Applied Industrial Metrology: Methods, Uncertainties, and Challenges: 2nd Edition

A Special Issue of Metrology (ISSN 2673-8244).

Deadline for manuscript submissions: 23 February 2027 | Viewed by 774

Editor


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Guest Editor
Centre National de la Recherche Scientifique (CNRS), Université Marie et Louis Pasteur (UMLP), Franche-Comté Electronique Optique Sciences et Technologies (FEMTO-ST) Institute, 15B Avenue des Montboucons, F-25030 Besançon Cedex, France
Interests: uncertainty analysis; metrology; frequency stability; phase noise; optics; optoelectronics; calibration; international comparisons
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Special Issue Information

Dear Colleagues,

Following the success of the Special Issue “Applied Industrial Metrology: Methods, Uncertainties, and Challenges” for the journal Metrology (https://www.mdpi.com/journal/metrology/special_issues/M6F97Y1E32), we propose its second edition. This issue aims to bring together researchers from academia and industry involved in applied metrology, industrial calibration and measurement science.

We welcome contributions addressing the specificities of measurement uncertainties and industrial constraints, as well as innovative metrological approaches across various domains, including electricity and magnetism, frequency and time measurements, particle sizing and counting, dimensional and optical metrology and other related areas.

Original research articles, reviews and case studies that highlight the connection between fundamental metrology and industrial applications are particularly encouraged.

Join us in advancing the discussion on how metrology drives innovation, reliability and quality in industrial contexts.

Dr. Patrice Salzenstein
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metrology is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • measurement uncertainty
  • industrial calibration laboratories
  • metrology methods
  • gas flow
  • particle size
  • length

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Related Special Issue

Published Papers (2 papers)

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Research

16 pages, 13043 KB  
Article
Accurate Assessment of Flow Reduction Due to Biofouling in Open Channels
by Luís Martins, Maria do Céu Almeida, Catarina Simões and Álvaro Ribeiro
Metrology 2026, 6(3), 53; https://doi.org/10.3390/metrology6030053 - 5 Aug 2026
Viewed by 222
Abstract
Biofilm is known to negatively affect the hydraulic performance of open channels by increasing friction and energy losses and, consequently, economic costs. This study proposes a method to accurately quantify the effect of flow reduction caused by biofouling in open channels. The approach [...] Read more.
Biofilm is known to negatively affect the hydraulic performance of open channels by increasing friction and energy losses and, consequently, economic costs. This study proposes a method to accurately quantify the effect of flow reduction caused by biofouling in open channels. The approach is based on Manning’s equation, using the Monte Carlo Method for the propagation of input uncertainties. A case study concerning a trapezoidal concrete open channel of an agricultural irrigation network is presented, showing a relative expanded uncertainty (95% confidence level) of 10% for flow rates ranging from 1 m3·s−1 to 50 m3·s−1. Manning’s roughness coefficient was identified as the dominant contribution to the overall dispersion of flow rate values, being probabilistically modeled by a beta distribution using minimum, expected and maximum reference values. This information was used for conformity assessment of the studied open channel, considering flow reductions due to moderate and severe biofilm effects of 12.5% and 31.3%, respectively. The corresponding standard uncertainties (4.8% and 7.8%), the adopted confidence level (95%), tolerance upper limit (33%) and decision rule led to different conformity assessment outcomes. These results highlight the importance of accurate assessment of flow reduction due to biofouling for management entities. Full article
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16 pages, 1203 KB  
Article
Fundamental Issues in Spectrum Measurement
by Giovanni Battista Rossi, Francesco Crenna, Mohamad Khalil and Vittorio Belotti
Metrology 2026, 6(3), 51; https://doi.org/10.3390/metrology6030051 - 29 Jul 2026
Viewed by 322
Abstract
Insight into spectrum measurement is provided regarding the possibility of achieving a unified definition of the measurand for important classes of phenomena, including periodic, transitory impulsive, stochastic stationary, and stochastic non-stationary ones. Furthermore, the notion of characterizing the observation window as a key [...] Read more.
Insight into spectrum measurement is provided regarding the possibility of achieving a unified definition of the measurand for important classes of phenomena, including periodic, transitory impulsive, stochastic stationary, and stochastic non-stationary ones. Furthermore, the notion of characterizing the observation window as a key feature of the measurement method is introduced, and the issue of reducing the variability of the results is discussed, with a focus on the key role that can be played by the multi-taper method. Full article
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