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Machines
Special Issues
Innovations in the Design, Simulation, and Manufacturing of Production Systems
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Special Issue "Innovations in the Design, Simulation, and Manufacturing of Production Systems"

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: 31 March 2024 | Viewed by 2187

Special Issue Editors

Prof. Dr. Vitalii Ivanov

E-Mail Website
Guest Editor
Department of Manufacturing Engineering, Machines and Tools, Sumy State University, 40007 Sumy, Ukraine
Interests: manufacturing technology; design engineering; manufacturing systems; product design and development
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ivan Pavlenko

E-Mail Website
Guest Editor
Department of Computational Mechanics named after V. Martsynkovskyy, Sumy State University, 40007 Sumy, Ukraine
Interests: dynamics and strength of machines; numerical simulation; parameter identification; artificial neural networks; design engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Katarzyna Antosz

E-Mail Website
Guest Editor
Department of Manufacturing Processes and Production Engineering, Rzeszow University of Technology, Aleja Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Interests: industry 4.0; maintenance; production engineering; systems reliability; lean maintenance; decision support systems; artificial inteligence; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Design, simulation, and manufacturing are integral stages of a machine's production. Design engineering focuses on the creative process of developing innovative systems and units, ensuring process intensification, productivity, flexibility, and efficiency. The importance of this stage implies modern approaches in the CAx technologies, ensuring digitalization of the design process, which is an integral part of Industry 4.0. This Special Issue welcomes articles on innovative solutions in designing machine tools, mechatronic devices, robotic systems, flexible manufacturing systems, transport machines and systems, reconfigurable machines, fixture and tooling design, rotary machines and drive units, etc. Verification of the created products is mandatory before the manufacturing stage. The developed design should be checked in a virtual environment based on the operating conditions. For this purpose, numerical simulation and experimental studies can be applied. The reliability of the virtual and experimental studies should be justified in terms of quality requirements. The above-mentioned processes make it possible to proceed to the manufacturing stage. The production processes using advanced manufacturing technologies and intelligent systems could be implemented to overcome the challenges of Industry 4.0, considering sustainable development goals in machining processes, additive manufacturing technologies, etc.

Prof. Dr. Vitalii Ivanov
Prof. Dr. Ivan Pavlenko
Dr. Katarzyna Antosz
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Machines is an international peer-reviewed open access monthly 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

  • advanced manufacturing
  • AR/VR technology
  • collaborative system
  • condition monitoring
  • digital transformation
  • digital twin
  • drive units
  • finite element modeling
  • industrial growth
  • industrial robotics
  • industry 4.0
  • intelligent systems
  • machine tools
  • maintenance service
  • mechatronics
  • metalworking equipment
  • model-based systems engineering
  • numerical simulation
  • process innovation
  • product innovation
  • quality assurance
  • rotary machines
  • smart manufacturing
  • sustainable manufacturing
  • transport machines and logistics

Published Papers (2 papers)

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Research

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26 pages, 9870 KiB  
Article
Contactless Method for Measurement of Surface Roughness Based on a Chromatic Confocal Sensor
by
Natalia Lishchenko
,
Garret E. O’Donnell
and
Mark Culleton
Machines 2023, 11(8), 836; https://doi.org/10.3390/machines11080836 - 17 Aug 2023
Viewed by 804
Abstract
The methodology for assigning and assessing the surface quality is used at various stages of the product life cycle: during the design and technological preparation of production, the production itself, and during the control (testing) of products. The development of advanced technologies requires [...] Read more.
The methodology for assigning and assessing the surface quality is used at various stages of the product life cycle: during the design and technological preparation of production, the production itself, and during the control (testing) of products. The development of advanced technologies requires in situ part control. A non-contact in situ surface roughness measuring system is proposed in this paper. The proposed system utilizes a chromatic confocal sensor, and profile data, waviness data, roughness data, Ra, and Rz parameters are generated in the developed data-processing software. The assembled measuring system based on the chromatic confocal laser sensor showed its performance in assessing the roughness parameter Ra, from 0.34 µm to more than 12 µm, which covers a common range of milling, turning, and grinding. In this range, measurement relative errors can be controlled within 10%. Frequency analysis and correlation analysis of profilograms were performed. Frequency analysis made it possible to establish the dominant frequency components that occur in the profilogram of the samples, while correlation analysis was used to develop a methodology for identifying the deterministic and random components of the processed surface profile signal. The results of the analysis can be further used to develop diagnostic functions for process monitoring based on profilogram estimates, such as the autocorrelation function and the power spectrum density. Full article
(This article belongs to the Special Issue Innovations in the Design, Simulation, and Manufacturing of Production Systems)
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Review

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23 pages, 7286 KiB  
Review
Design, Modelling, and Control of Continuum Arms with Pneumatic Artificial Muscles: A Review
by
Oleksandr Sokolov
,
Alexander Hošovský
and
Monika Trojanová
Machines 2023, 11(10), 936; https://doi.org/10.3390/machines11100936 - 30 Sep 2023
Viewed by 725
Abstract
In this research paper, we present a comprehensive analysis of the current state of soft robots actuated with pneumatic artificial muscles and emphasise their distinct advantages over rigid robots, including exceptional flexibility, adaptability, and safety. Our study explores the design principles of soft [...] Read more.
In this research paper, we present a comprehensive analysis of the current state of soft robots actuated with pneumatic artificial muscles and emphasise their distinct advantages over rigid robots, including exceptional flexibility, adaptability, and safety. Our study explores the design principles of soft robots, drawing inspiration from biological systems and human hands, and identifies promising avenues for further development. The emergence of hybrid robots is also recognised as a significant advancement, particularly in scenarios requiring high precision. The article explores mathematical models encompassing kinematics, dynamics, and statics, as well as alternative model-free approaches. These theoretical frameworks are instrumental in understanding and manipulating the behaviour of soft robots. However, despite substantial progress, soft robots’ practical application and simulation face limitations, primarily due to the demanding requirements and implementation challenges associated with their deployment. Consequently, this paper highlights the need for continued research and advancements to bridge the gap between the theoretical potential and practical utilisation of soft robots. Full article
(This article belongs to the Special Issue Innovations in the Design, Simulation, and Manufacturing of Production Systems)
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