Advances in Computer-Aided Technology, 3rd Edition

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 731

Special Issue Editors


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Guest Editor
Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, 080 01 Presov, Slovakia
Interests: manufacturing engineering; robotics; 3D printing and rapid prototyping; design engineering
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia
Interests: mechanical processes; production engineering; computer-aided engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue “Advances in Computer-Aided Technology II” (https://www.mdpi.com/journal/machines/special_issues/46J0IVH1GT), we are pleased to announce the next in the series, entitled “Advances in Computer-Aided Technology, 3rd Edition”.

Computer-aided technologies (CAx) encompass the use of computer technology to aid in the design, analysis, and manufacture of products. Significant progress has also been made in this area due to the rapid expansion of science and technology.

Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning, and products. In connection with the transition to Industry 4.0, the concept of the digital twin comes to the fore, and existing CAx systems must also adapt to this trend. Industry 4.0 is dominated by concepts such as IoT, 3D printing, robotics, digitalization, 3D scanning, big data, and virtual and augmented reality, among others.

This Special Issue focuses on this area of progress in computer-aided technology, with a view to a transition to digital manufacturing.

The main areas are as follows:

  • New trends in CAx systems;
  • Design for 3D printing;
  • PLM systems;
  • Data transfer between software;
  • Software support for virtual and extended reality;
  • Cloud computing in manufacturing;
  • Digital manufacturing;
  • Internet of Things in manufacturing;
  • Simulation of production systems and processes;
  • Systems for collaborative robotics;
  • Systems for advanced finite element analysis;
  • Digitization and 3D scanning

Dr. Martin Pollák
Prof. Dr. Marek Kočiško
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

  • PLM
  • 3D printing
  • CAD
  • digital manufacturing
  • production systems
  • collaborative robotics

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Related Special Issue

Published Papers (1 paper)

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Research

17 pages, 10429 KB  
Article
Development of a Simulation Computational Model for Hole Detection and Generation of Robot Tool Movement for Fitting Mold Preparation Nozzles
by Martin Pollák and Karol Goryl
Machines 2025, 13(11), 1053; https://doi.org/10.3390/machines13111053 - 14 Nov 2025
Viewed by 317
Abstract
This article focuses on the design, development and optimization of a mechanical system with the aim of increasing the efficiency of the production process. The article describes the issues involved in the production of molds used for EPS (Expanded Polystyrene) and EPP (Expanded [...] Read more.
This article focuses on the design, development and optimization of a mechanical system with the aim of increasing the efficiency of the production process. The article describes the issues involved in the production of molds used for EPS (Expanded Polystyrene) and EPP (Expanded Polypropylene) materials, specifically the assembly of mold nozzles. Currently, the assembly of nozzles is performed manually, and the proposed solution aims to automate this process using software and robotics. The solution involves scanning the mounting holes and then modifying the mold model in Siemens NX, based on which a trajectory is generated in the virtual environment of RoboDK software. Communication between Siemens NX and RoboDK software is implemented via a Python algorithm using NXOpen and RoboDK API (Application Programming Interface) libraries. The proposed tool has flexible settings and is not dependent on a robotic arm or tool. The result is a prototype software tool for offline programming of automated assembly, which is adapted to different hole layouts, allowing its use in small-batch production in the future. The proposed tool has flexible settings and is not dependent on a specific robotic arm or tool. The solution was validated through comprehensive simulation testing in the RoboDK environment, demonstrating significant potential for time reduction and process optimization. Full article
(This article belongs to the Special Issue Advances in Computer-Aided Technology, 3rd Edition)
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