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Applied Sciences
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Recent Advances in Manufacturing and Machining Processes
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Recent Advances in Manufacturing and Machining Processes

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

Deadline for manuscript submissions: 20 July 2025 | Viewed by 4522

Special Issue Editors

Dr. Ivan Peko

E-Mail Website
Guest Editor
Faculty of Science, University of Split, 21000 Split, Croatia
Interests: manufacturing engineering; advanced materials technologies; additive manufacturing; application of artificial intelligence; modeling and optimization of manufacturing processes
Dr. Rogante Massimo

E-Mail Website
Guest Editor
Rogante Engineering Office, 62012 Civitanova Marche, Italy
Interests: materials science; materials processing; NDT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A country’s economical growth and prosperity depends on the manufacturing industry and the production of high value-added products. Manufacturing companies are currently faced with challenges, such as the production of high-quality products, the need to lower production costs, the mass customization of products, shortening product life cycles, the environmental sustainability of future products, and unstable supply chains due to the emergence of various crises in the world, from the COVID-19 pandemic to wars in different regions. To respond to these challenges, engineers, professionals, and scientists have implemented new and advanced solutions in industrial processes such as sustainable green technologies, smart manufacturing and sensorics, robots, artificial intelligence/machine learning technologies, additive manufacturing/3D printing, Industry 4.0/5.0 principles, new and advanced materials, etc. To collect the latest research on the above-mentioned areas and beyond, the scope of this Special Issue includes (but is not limited to) scientific papers that deal with the following topics:

  • Advanced manufacturing technologies;
  • Non-conventional machining;
  • The machining of advanced materials;
  • The application of artificial intelligence/machine learning in advanced manufacturing/machining processes;
  • Smart manufacturing systems;
  • The application of robots and sensors in manufacturing/machining processes;
  • Additive manufacturing;
  • Industry 4.0/5.0 in advanced manufacturing;
  • The modeling and optimization of advanced manufacturing and machining processes.

Dr. Ivan Peko
Dr. Rogante Massimo
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 manufacturing
  • non-conventional machining, advanced materials
  • smart manufacturing
  • additive manufacturing
  • artificial intelligence
  • modeling and optimization
  • Industry 4.0/5.0

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Published Papers (2 papers)

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Research

14 pages, 3571 KiB  
Article
Preassembly Cryogenic Drilling in Carbon Fiber Sandwich Sheets with Inner Foam Core
by Rosario Domingo, Marta M. Marín, Néstor Rodríguez-Padial and Roberto Álvarez-Fernández
Appl. Sci. 2025, 15(5), 2719; https://doi.org/10.3390/app15052719 - 4 Mar 2025
Viewed by 570
Abstract
A study of cryogenic drilling in sandwich composites was carried out. The materials used were carbon-fiber-reinforced polymer sandwich sheets with an inner foamed polyvinyl chloride core, composites with applications including protection structures of polar engineering equipment. The purpose of this study was to [...] Read more.
A study of cryogenic drilling in sandwich composites was carried out. The materials used were carbon-fiber-reinforced polymer sandwich sheets with an inner foamed polyvinyl chloride core, composites with applications including protection structures of polar engineering equipment. The purpose of this study was to determine the feasibility of drilling at low temperatures using this composite by analyzing the thrust forces and the inlet and outlet diameters of the hole due to their influence on hole quality and their importance in a preassembly operation. Experimental tests were performed in laminates with thicknesses of 12 mm and 6 mm, drilling with liquid nitrogen (LN2) as a refrigerant to reach temperatures below −120 °C under cutting conditions of 2000–6000 rpm for drill bit rotation speeds and 200–600 mm/min for feed rates. Variables such as thrust forces and circularity error were measured, and a design of experiments, analysis of variance, and regression models allowed us to identify the influence of cutting conditions and foam thickness. Optimal cutting conditions were identified and contrasted: 2100–3100 rpm for drill bit rotation speeds and 200–320 mm/min for feed rates. The diameters achieved low deviations, H7 and H8 tolerances for inlet and outlet diameters, respectively, which allows for avoiding additional preassembly operations, which can be important during plate assembly using LN2 and in maintenance operations. Although good results have been obtained with other materials such as glass-fiber- and carbon-fiber-reinforced polymers, this sandwich material is lighter. Full article
(This article belongs to the Special Issue Recent Advances in Manufacturing and Machining Processes)
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16 pages, 4296 KiB  
Article
Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling
by Tomislav Šolić, Dejan Marić, Ivan Peko and Ivan Samardžić
Appl. Sci. 2025, 15(2), 673; https://doi.org/10.3390/app15020673 - 11 Jan 2025
Viewed by 915
Abstract
The development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, [...] Read more.
The development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, it is possible to lessen the intensity of corrosion mechanisms’ development. In order for the selected surface protection technology to provide its full protective action, it is necessary to be familiar with its process parameters. This paper deals with a surface protection system that creates a barrier between the aggressive environment and the base material. The tested barrier was created on a base material surface by electrostatic powder spraying. In this experiment, three types of base material (carbon steel, aluminum and galvanized steel) were coated by applying different combinations of operating parameters. Operating parameters, i.e., the voltage and strength of the electric current, were taken as numerical input variables in the experiment. Each experiment design was focused on measuring the thickness of the protective layer. Analysis of the obtained results and statistical data processing confirmed that appropriate parameters (input variables) provided the target thickness of the protective coating on each of the tested materials. Optimization of parameters contributes to the efficiency of production, shortens the processing time and ensures that coating thickness stays within the limits defined either by the manufacturer or the end user. Full article
(This article belongs to the Special Issue Recent Advances in Manufacturing and Machining Processes)
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