Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Advanced Digital Design and Intelligent Manufacturing
applsci-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advanced Digital Design and Intelligent Manufacturing

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2977

Special Issue Editors

Prof. Dr. Jozef Svetlík

E-Mail Website
Guest Editor
Department of Manufacturing Machinery and Robotics, Faculty of Mechanical Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Interests: flexible manufacturing; modularity; industrial robotics; industrial design, computer aided design (CAD)
Dr. Rudolf Jánoš

E-Mail Website
Guest Editor
Department of Manufacturing Machinery and Robotics, Faculty of Mechanical Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Interests: industrial robotics; service robotics, control systems, design safety of automated device
Dr. Ján Semjon

E-Mail Website
Guest Editor
Department of Manufacturing Machinery and Robotics, Faculty of Mechanical Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Interests: industrial robotics; collaborative robotics; robot accuracy; robot drives; sensors in robots

Special Issue Information

Dear Colleagues,

Advanced digital design and intelligent manufacturing are driving a revolutionary shift in modern industrial processes. Technologies such as computer-aided design (CAD), advanced simulations, and automation are now critical for creating more precise, efficient, and innovative products. These tools not only enhance the quality of products but also significantly reduce production costs and development time. Furthermore, intelligent manufacturing incorporates artificial intelligence (AI), machine learning, and the internet of things (IoT), allowing for real-time monitoring, predictive maintenance, and the optimization of production workflows. This integration enables manufacturers to anticipate issues before they arise, ensuring smoother operations and higher product quality. The transformation toward more automated, flexible, and sustainable systems is redefining global competitiveness, allowing companies to adapt to the fast-evolving demands of the market while minimizing waste and improving operational efficiency.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Advanced digital design;
  2. Intelligent manufacturing;
  3. Automation;
  4. Computer aided design (CAD);
  5. Simulations;
  6. Artificial intelligence (AI);
  7. Machine learning;
  8. Manufacturing process optimization;
  9. Intelligent manufacturing;
  10. Industry 4.0;
  11. Robotics;
  12. Digital twin;
  13. CNC machines;
  14. 3D printing;
  15. Sustainable manufacturing;
  16. Industrial competitiveness.

Prof. Dr. Jozef Svetlík
Dr. Rudolf Jánoš
Dr. Ján Semjon
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. 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

  • advanced digital design
  • intelligent manufacturing
  • automation
  • robotics
  • Industry 4.0
  • 3D printing
  • sustainable manufacturing
  • digital twin
  • CNC machines
  • computer aided design (CAD)

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 4718 KiB  
Article
Methodology for Verification of Geometrically Complex Components Through Reverse Engineering
by Peter Gabštur, Marek Kočiško, Jakub Kaščak and Martin Pollák
Appl. Sci. 2025, 15(7), 3963; https://doi.org/10.3390/app15073963 - 3 Apr 2025
Viewed by 290
Abstract
Verification of geometrically complex components is a crucial step in ensuring the quality and functionality of industrial products. This article presents a comprehensive methodological approach to their verification using reverse engineering techniques. The study highlights the limitations of traditional measurement methods for complex [...] Read more.
Verification of geometrically complex components is a crucial step in ensuring the quality and functionality of industrial products. This article presents a comprehensive methodological approach to their verification using reverse engineering techniques. The study highlights the limitations of traditional measurement methods for complex geometries and proposes a framework that integrates advanced 3D scanning and digital modeling. The methodology involves obtaining accurate geometric data, with deviations during repeated measurements being well within the tolerance range. With a tolerance of ±1 mm, the maximum deviation was −0.66 mm, while the maximum deviation with the highest tolerance of 4.5 mm was 1.19 mm. These data were compared with predefined 3D models to analyze deviations and identify process errors. By applying this detailed methodology, more precise fixtures were created, resulting in measurements with deviations well below the required tolerances, compared to measurements without this methodology. A practical example of the design and verification of a welding fixture for cabin manufacturing illustrates the effectiveness of reverse engineering in detecting inconsistencies and optimizing manufacturing processes. The findings emphasize the importance of geometric accuracy in quality control and demonstrate how reverse engineering can streamline verification processes and enhance product reliability. This approach is particularly valuable for the manufacturing industry, which requires high precision in the production of geometrically complex components. Full article
(This article belongs to the Special Issue Advanced Digital Design and Intelligent Manufacturing)
►▼ Show Figures

Figure 1

24 pages, 11143 KiB  
Article
Comprehensive Analysis of Deposition Parameters and Energy-Dispersive X-Ray Spectroscopy Characterization in Cataphoretic Coating Processes
by Patrik Fejko, Damián Peti, Jozef Dobránsky, Miroslav Gombár and Peter Michalík
Appl. Sci. 2025, 15(7), 3760; https://doi.org/10.3390/app15073760 - 29 Mar 2025
Viewed by 276
Abstract
This research examines the inter-relationship between the deposition time, degreasing temperature, and applied voltage in the cataphoretic painting process, focusing on their cumulative effects on the thickness of the formed layers. A series of experiments was conducted, systematically varying deposition time effects through [...] Read more.
This research examines the inter-relationship between the deposition time, degreasing temperature, and applied voltage in the cataphoretic painting process, focusing on their cumulative effects on the thickness of the formed layers. A series of experiments was conducted, systematically varying deposition time effects through voltage levels (200 V to 300 V) and degreasing temperatures (40 °C to 80 °C). The results demonstrate that the maximum layer thickness is achieved at longer cataphoretic times, with significant thickness increments observed at optimal voltage levels. Conversely, the study reveals that lower degreasing temperatures lead to increased layer thickness, while elevated temperatures tend to diminish it. Notably, the thickness variations are consistent across different voltage applications, with a discernible threshold at which the layer thickness stabilizes. Additionally, energy-dispersive X-ray spectroscopy (EDX) was utilized to characterize the elemental composition of the cataphoretic layer, providing deeper insights into the coating structure and its relationship to process parameters. This work provides valuable insights into the optimization of cataphoretic processes, offering a framework for enhancing the quality and uniformity of coatings in industrial applications. The findings underscore the importance of the precise control over process parameters to achieve the desired material characteristics, thereby advancing the field of surface engineering and coating technologies. Full article
(This article belongs to the Special Issue Advanced Digital Design and Intelligent Manufacturing)
►▼ Show Figures

Figure 1

22 pages, 3439 KiB  
Article
Technical Diagnostics of Industrial Robots Using Vibration Signals: Case Study on Detecting Base Unfastening
by Daria Fedorova, Vladimír Tlach, Ivan Kuric, Tomáš Dodok, Ivan Zajačko and Karol Tucki
Appl. Sci. 2025, 15(1), 270; https://doi.org/10.3390/app15010270 - 30 Dec 2024
Cited by 2 | Viewed by 1003
Abstract
In the domain of modern manufacturing digitalization, artificial intelligence tools are increasingly employed for condition monitoring and technical diagnostics. However, the majority of existing methodologies primarily concentrate on the technical diagnosis of rotating machines, with a noticeable lack of research addressing these issues [...] Read more.
In the domain of modern manufacturing digitalization, artificial intelligence tools are increasingly employed for condition monitoring and technical diagnostics. However, the majority of existing methodologies primarily concentrate on the technical diagnosis of rotating machines, with a noticeable lack of research addressing these issues in sequential machines. In this paper, we deal with the selection of suitable vibration signal characteristics for the detection of an industrial robot’s release from its base during a handling operation. Statistical methods, including one-way ANOVA and t-tests, were used to identify the most significant features, which allowed us to isolate vibration metrics with significant predictive potential. These selected features were then used as inputs to various machine learning models to evaluate the hypothesis that these parameters can reliably indicate fastening releasing events. The results show that the optimized parameters significantly improve the detection accuracy, thus providing a reliable basis for future applications in predictive maintenance and monitoring. The findings represent an advance in robotic condition monitoring, providing a structured approach to feature selection that improves the reliability of disconnection detection in automated systems with potential applicability in various industrial environments. Full article
(This article belongs to the Special Issue Advanced Digital Design and Intelligent Manufacturing)
►▼ Show Figures

Figure 1

20 pages, 5869 KiB  
Article
Calculation of Trusses System in MATLAB—Multibody
by Štefan Ondočko, Jozef Svetlík, Rudolf Jánoš, Ján Semjon and Miroslav Dovica
Appl. Sci. 2024, 14(20), 9547; https://doi.org/10.3390/app14209547 - 19 Oct 2024
Viewed by 823
Abstract
This article discusses the software tool (Simscape—Multibody program of MATLAB) primarily intended for dynamic and kinematic processes with practical applications in static calculations. Currently, there are few published scientific works utilizing this tool for tasks like basic static calculations of truss systems. We [...] Read more.
This article discusses the software tool (Simscape—Multibody program of MATLAB) primarily intended for dynamic and kinematic processes with practical applications in static calculations. Currently, there are few published scientific works utilizing this tool for tasks like basic static calculations of truss systems. We were interested in comparing the calculation using the tools we use in our work and research activities for theoretical calculation; the potential reliance on simulations in the future could help to avoid the necessity of complex theoretical calculations, which can be time-consuming and prone to errors. Despite the fact that the structure may appear simple, in practice, there may not always be time for a verification calculation in the theoretical field (proper model creation, inclusion of all conditions, etc.). The beam system is intentionally both externally and internally statically indeterminate. For this reason, it is logically necessary to also consider deformation conditions. The achieved results were interesting in terms of accuracy compared to SOLIDWORKS, which was used for computation verification. Through very simple optimization, we were able to further increase the calculation accuracy without complicating other parameters. Full article
(This article belongs to the Special Issue Advanced Digital Design and Intelligent Manufacturing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop