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Applied Sciences
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Design and Optimization of Computer Numerical Control (CNC) Machining Technology
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Design and Optimization of Computer Numerical Control (CNC) Machining Technology

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

Deadline for manuscript submissions: 20 November 2026 | Viewed by 2018

Special Issue Editors

Dr. Vladimír Šimna

E-Mail Website
Guest Editor
Department of Machining and Computer-Aided Technologies (UVTE MTF), Slovak University of Technology in Bratislava, Bratislava, Slovakia
Interests: CAD/CAM; machining; milling; CNC machine tools; wedm
Dr. Marcel Kuruc

E-Mail Website
Guest Editor
Department of Machining and Computer-Aided Technologies (UVTE MTF), Slovak University of Technology in Bratislava, Bratislava, Slovakia
Interests: rotary ultrasonic machining; advanced manufacturing technologies; CAD/CAM software; multi-axis machining; programming of CNC machines
Special Issues, Collections and Topics in MDPI journals
Dr. Peter Pokorny

E-Mail Website
Guest Editor
Institute of Production Technologies (MTF), Slovak University of Technology in Bratislava, Bratislava, Slovakia
Interests: precision machining; materials science and technology; mechanical engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of CNC machining technology holds significant importance in modern industrial applications, particularly with the advent of Industry 4.0 and the growing demand for manufacturing highly complex and precise components. This Special Issue, "Design and Optimization of CNC Machining Technology", aims to present the latest advancements and innovative methodologies that optimize machining processes, enhance efficiency, and maximize dimensional precision.

The topics of interest for this issue include, but are not limited to, the following:

  • The development of advanced machining strategies and toolpath designs;
  • Optimizing techniques for cutting parameters and tool selection;
  • The simulation and modeling of CNC machining operations;
  • Novel CNC machining methods and technologies;
  • Strategies for error minimization and precision enhancement;
  • The integration of CNC systems with AI and machine learning;
  • Emerging trends in CNC machining, such as additive manufacturing and hybrid approaches;
  • Progressive machining technologies, including multi-axis machining and ultrafast machining methods.

This Special Issue seeks to establish a platform for researchers and industry practitioners to exchange insights, foster collaboration, and drive progress in CNC machining technology.

Dr. Vladimír Šimna
Dr. Marcel Kuruc
Dr. Peter Pokorny
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

  • CNC machining
  • process optimization
  • advanced machining strategies
  • cutting parameters
  • dimensional accuracy
  • additive manufacturing
  • artificial intelligence in machining
  • progressive machining technologies

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Published Papers (2 papers)

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Research

17 pages, 2809 KB  
Article
Wire Electrode Wear in WEDM of Inconel 718: Gravimetric Evaluation Using a 33 Full Factorial Design
by Vladimír Šimna, Marcel Kuruc, Barbora Ludrovcová, Adam Belanec, Vitalii Kolesnyk and Oleksandr Berezniak
Appl. Sci. 2026, 16(11), 5235; https://doi.org/10.3390/app16115235 - 23 May 2026
Viewed by 198
Abstract
Wire electrical discharge machining (WEDM) is widely used for the precision cutting of difficult-to-machine materials, including nickel-based superalloys. Wire electrode wear, however, remains a practical limitation, because it affects process stability, wire consumption, and machining cost. This work examines the wear behaviour of [...] Read more.
Wire electrical discharge machining (WEDM) is widely used for the precision cutting of difficult-to-machine materials, including nickel-based superalloys. Wire electrode wear, however, remains a practical limitation, because it affects process stability, wire consumption, and machining cost. This work examines the wear behaviour of a gamma-phase Cu5Zn8-coated copper-core wire electrode (Elecut X, ø 0.25 mm) during the WEDM of Inconel 718 using direct gravimetric measurement. A 33 full factorial experiment was carried out with three electrical parameters: pulse-on time (A), pulse-off time (B), and servo reference voltage (Aj). The discharge process was monitored with an oscilloscope so that measurements only started after the programmed pulse-off time had been reached. Electrode wear was evaluated as the mass loss Δm of 4 m wire segments after 5 min cutting intervals on a Charmilles Robofil 310 machine, and factor significance was assessed by analysis of variance (ANOVA). Pulse-on time was the dominant factor, accounting for 88.45% of the total variation in Δm, followed by servo reference voltage and pulse-off time. SEM/EDS examination showed material transfer from the Inconel 718 workpiece to the worn electrode surface, with local nickel content reaching 16.84 wt.% on the frontal face of the most worn sample. The results provide a quantitative basis for reducing wire consumption during the WEDM of Inconel 718 while recognising the trade-off with cutting productivity. Full article
(This article belongs to the Special Issue Design and Optimization of Computer Numerical Control (CNC) Machining Technology)
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15 pages, 9492 KB  
Article
Evaluation of Quality Weld Deposit on Different Types of Rails
by Michal Bucko, Lucie Krejci, Ivo Hlavaty, Jindrich Kozak, Petr Mohyla, Ondrej Sopr, Petr Samek and Martina Gree
Appl. Sci. 2026, 16(2), 690; https://doi.org/10.3390/app16020690 - 9 Jan 2026
Viewed by 622
Abstract
Welding of high-carbon rail steels is widely applied in railway maintenance to restore worn rail surfaces and extend service life. However, the weldability of these steels is limited by their high carbon content and susceptibility to brittle microstructures in the heat-affected zone. This [...] Read more.
Welding of high-carbon rail steels is widely applied in railway maintenance to restore worn rail surfaces and extend service life. However, the weldability of these steels is limited by their high carbon content and susceptibility to brittle microstructures in the heat-affected zone. This paper evaluates the quality of weld deposits applied to different grades of railway rails (UIC 1100, UIC 900A, and UIC HSH) using submerged arc welding (SAW) and flux-cored arc welding (FCAW) technologies with various filler materials. Weld quality was assessed through macrostructural examination, HV30 hardness measurements, and microstructural analysis. The results show that inappropriate combinations of filler materials and welding parameters lead to excessive hardness and martensitic structures, which are undesirable for in-service performance. In contrast, selected multi-layer welding procedures produced bainitic or tempered microstructures with favourable hardness distributions. Based on the experimental results, optimal welding procedures and filler material combinations for rail renovation are proposed. Full article
(This article belongs to the Special Issue Design and Optimization of Computer Numerical Control (CNC) Machining Technology)
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