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Recent Advances and Future Challenges in Manufacturing Metrology

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 20 September 2026 | Viewed by 1104

Special Issue Editors


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Guest Editor
Faculty of Mechanical Engineering, Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 61-138 Poznan, Poland
Interests: metrology; surface metrology; coordinate measuring technique; sensors applications; metrology of geometric quantities; multisensor measurement systems; dynamic metrology; measurement systems in mechanical engineering

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Guest Editor
Faculty of Mechanical Engineering, Institute of Mechanical Technology, Poznan University of Technology, Piotrowo 3, 61-138 Poznan, Poland
Interests: metrology; micro-computed tomography (micro-CT); coordinate measuring technique; additive manufacturing

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Guest Editor

Special Issue Information

Dear Colleagues,

The improvement in the quality of production processes for machine and equipment parts is closely linked to advancements in the methods and tools used to control and inspect manufactured products. Increasing customer demands require continuous quality enhancement, achieved by reducing production time and improving the efficiency of components manufactured. As a result, manufacturers are compelled to invest in modern technological and production machinery.

This, in turn, drives the parallel development of quality control departments and the adoption of increasingly precise and/or fast advanced measuring instruments. Consequently, developments in science and technology rely on access to reliable information about the surrounding world. The foundation of such knowledge is research and, inherently, measurement in the broadest sense.

Modern industry requires simple, user-friendly devices capable of delivering rapid measurements, often in real time during processing, without compromising accuracy. To meet this growing demand, manufacturers are increasingly focusing on automated production process control systems in many cases supported by AI. The successful implementation of such systems depends primarily on the reliability and comprehensiveness of monitoring technologies; that is, the availability of accurate measurement data throughout the manufacturing process.

As part of Industry 4.0, modern industry expects research institutions to significantly streamline measurement processes. This involves both minimizing human errors and maximizing the quantity and quality of information obtained about product characteristics, which is often gathered simultaneously from multiple, reliable sources.

We invite contributions to this Special Issue on topics including, but not limited to, the following areas:

  • Metrology in manufacturing processes
  • Metrology systems in Industry 4.0
  • Measurement systems
  • Measurements across nano-, micro-, meso-, and macro-scales
  • In-line and at-line measurement systems
  • Geometrical product specification
  • Coordinate measuring techniques
  • Multisensor measurement systems
  • Micro-computed tomography (micro-CT)
  • Digital twins in metrology
  • Artificial intelligence (AI) in metrology
  • Measurement uncertainty and its estimation
  • Calibration methods

Dr. Michał Jakubowicz
Dr. Bartosz Gapiński
Dr. Alejandro Pereira
Guest Editors

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • metrology
  • measurement system
  • coordinate measuring technique
  • multisensory
  • uncertainty
  • geometrical product specification

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Published Papers (2 papers)

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Research

18 pages, 3491 KB  
Article
Stationary State Recognition of a Mobile Platform Based on 6DoF MEMS Inertial Measurement Unit
by Marcin Bogucki, Waldemar Samociuk, Paweł Stączek, Mirosław Rucki, Arturas Kilikevicius and Radosław Cechowicz
Appl. Sci. 2026, 16(2), 729; https://doi.org/10.3390/app16020729 - 10 Jan 2026
Viewed by 282
Abstract
The article presents the analytic method for real-time detection of the stationary state of a vehicle based on information retrieved from 6 DoF IMU sensor. Reliable detection of stillness is essential for the application of resetting the inertial sensor’s output bias, called Zero [...] Read more.
The article presents the analytic method for real-time detection of the stationary state of a vehicle based on information retrieved from 6 DoF IMU sensor. Reliable detection of stillness is essential for the application of resetting the inertial sensor’s output bias, called Zero Velocity Update method. It is obvious that the signal from the strapped on inertial sensor differs while the vehicle is stationary or moving. Effort was then made to find a computational method that would automatically discriminate between both states with possibly small impact on the vehicle embedded controller. An algorithmic step-by-step method for building, optimizing, and implementing a diagnostic system that detects the vehicle’s stationary state was developed. The proposed method adopts the “Mahalanobis Distance” quantity widely used in industrial quality assurance systems. The method transforms (fuses) information from multiple diagnostic variables (including linear accelerations and angular velocities) into one scalar variable, expressing the degree of deviation in the robot’s current state from the stationary state. Then, the method was implemented and tested in the dead reckoning navigation system of an autonomous wheeled mobile robot. The method correctly classified nearly 93% of all stationary states of the robot and obtained only less than 0.3% wrong states. Full article
(This article belongs to the Special Issue Recent Advances and Future Challenges in Manufacturing Metrology)
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19 pages, 3566 KB  
Article
Assessment of the Calculation Methods for Circle Diameter According to Arc Length, Form Deviations, and Instrument Error: A Cosine Function Simulation Approach
by Lidia Smyczyńska, Bartosz Gapiński and Michał Jakubowicz
Appl. Sci. 2025, 15(24), 13104; https://doi.org/10.3390/app152413104 - 12 Dec 2025
Viewed by 459
Abstract
Coordinate measuring techniques are essential for determining the diameter and roundness of circular features, yet measurements based on short arc segments remain highly sensitive to form deviations, sampling strategy, and instrument error. With the increasing demands placed on metrology, the choice of suitable [...] Read more.
Coordinate measuring techniques are essential for determining the diameter and roundness of circular features, yet measurements based on short arc segments remain highly sensitive to form deviations, sampling strategy, and instrument error. With the increasing demands placed on metrology, the choice of suitable data calculation and analysis methods becomes crucial for reliable interpretation of results. This study presents a simulation-based analysis of diameter evaluation for an oval-shaped profile, considering different levels of form deviation, three orientations of the contour peak, and the presence of random measurement error. The analysis includes both complete contours and partial arc segments and evaluates four reference-circle-fitting methods (LSCI, MZCI, MICI, MCCI). The results show that shortening the measured arc increases the influence of local geometric irregularities and random error on the obtained diameter values. The fitting methods behave differently under these conditions: LSCI is strongly affected by the orientation of the deformation peak, while MICI and MCCI provide reliable results only for sufficiently long arcs. MZCI consistently delivers the most stable performance when only fragmentary data are available. These findings indicate that both the choice of reference method and the selection of an adequate arc length are crucial for ensuring reliable and meaningful diameter assessment. Full article
(This article belongs to the Special Issue Recent Advances and Future Challenges in Manufacturing Metrology)
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