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Applied Sciences
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Technologies, Materials and Digital Management Solutions for Automotive Industry
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Technologies, Materials and Digital Management Solutions for Automotive Industry

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 8560

Special Issue Editors

Dr. Ján Duplák

E-Mail Website
Guest Editor
Associate Professor, Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Sturova 31, 080 01 Presov, Slovakia
Interests: manufacturing processes; machining; new cutting materials; manufacturing technologies and materials in the automotive industry
Dr. Darina Dupláková

E-Mail Website
Guest Editor
Associate Professor, Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Sturova 31, 080 01 Presov, Slovakia
Interests: digital ergonomics in engineering; lighting design; simulation and rationalization; production process simulation and planning; occupational safety in the working environment; risk management

Special Issue Information

Dear Colleagues,

We are inviting submissions for this Special Issue, “Technologies, Materials and Digital Management Solutions for the Automotive Industry”.

The automotive industry can be considered as a key industry sector in the worldwide context, and is one of the main pillars of the global economy. The automotive industry should not be considered as a sector solely intended for the production of vehicles, but also as a sector for the manufacture of partial modules, systems and components. Based on the demand for individual components, the automotive industry can be considered as a significant contributor to the engineering, electrotechnical and chemical industries. In the interest of developing the automotive industry so that it is equipped with modern production and control methods, further research is required. The complex synergy of technologies, materials and management utilizing the digital solutions provided by Industry 4.0 necessitates strong leadership to monitor and drive continual progress in the automotive industry. This Special Issue is dedicated to this progress, with a primary focus on scientific knowledge and transfer into the research and development of technologies, materials, management and digital solutions for the automotive industry.

Dr. Ján Duplák
Dr. Darina Dupláková
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

  • conventional manufacturing technologies
  • advanced manufacturing technologies
  • smart manufacturing technologies
  • manufacturing processes and logistics
  • assembly
  • maintenance
  • automation
  • optimization and rationalization
  • sustainability
  • Industry 4.0
  • software solutions
  • simulation and modelling
  • digital ergonomic solutions
  • occupational safety
  • risk management

Published Papers (5 papers)

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Research

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17 pages, 5654 KiB  
Article
Usability of Certain Symbols Indicating Automobile Safety Status Based on Youth Assessment
by Uros Manojlovic, Aleksandar Zunjic, Aleksandar Trifunović, Tijana Ivanišević, Darina Duplakova, Jan Duplak and Svetlana Čičević
Appl. Sci. 2023, 13(17), 9749; https://doi.org/10.3390/app13179749 - 29 Aug 2023
Viewed by 738
Abstract
The research presented in this paper refers to the possibility to understand the information presented by symbols, which indicate safety status and possible troubles regarding automobiles and driving. The testing included sixteen symbols, six of which were ISO-verified and recommended symbols. The study [...] Read more.
The research presented in this paper refers to the possibility to understand the information presented by symbols, which indicate safety status and possible troubles regarding automobiles and driving. The testing included sixteen symbols, six of which were ISO-verified and recommended symbols. The study included 204 youth respondents. The study used a multidisciplinary, ergonomic approach, based on research of the usability of symbols. The basic task of subjects was to recognize the symbols and to rate their confidence on the five-point scale that they gave exact answers. For each symbol, hypotheses about the proportion of correct answers at the population level were tested, applying the inferential statistics technique. The ISO criterion of 67% successful symbol recognition was adopted as the limit value for the justification of the use of symbols. The test results showed that eight out of sixteen symbols did not meet this criterion. The results of this research indicate that it is necessary to take certain measures in order to improve the understanding of the function of symbols on vehicle dashboards. One of the proposed measures consists in the improvement of training courses in driving schools, which from a theoretical but also a practical aspect should include education about symbols on car dashboards, primarily those responsible for informing about the safety status. In addition, a redesign of the symbols that had the lowest recognition rate can be recommended. Full article
(This article belongs to the Special Issue Technologies, Materials and Digital Management Solutions for Automotive Industry)
18 pages, 641 KiB  
Article
Change of Competences in the Context of Industry 4.0 Implementation
by Peter Szabó, Miroslava Mĺkva, Petra Marková, Jana Samáková and Samuel Janík
Appl. Sci. 2023, 13(14), 8547; https://doi.org/10.3390/app13148547 - 24 Jul 2023
Cited by 2 | Viewed by 1047
Abstract
Industry 4.0 will not only change what we are and what we do, but also who we are. As a result of the rapid introduction of new technologies, which is characteristic for Industry 4.0, there will be a change in the labour market. [...] Read more.
Industry 4.0 will not only change what we are and what we do, but also who we are. As a result of the rapid introduction of new technologies, which is characteristic for Industry 4.0, there will be a change in the labour market. It allows people, things and machines to be connected in real time, thus ensuring that the necessary information is exchanged between them. There are advantages, but also negatives: one of the impacts of Industry 4.0 is the gradual transformation of the labour market, leading to a demand for new professional skills and the digitalisation of work. Thus, it brings with it the need for employees to adapt to the changing sub-conditions of the labour market. The aim of this article is to identify and highlight the need for changes in the field of competences in connection with the application of Industry 4.0 methods and techniques. For the purpose of this research, a valid data collection instrument (questionnaire for the research) was developed and distributed to enterprises in the field of selected industry sectors in the Slovak Republic. In total, the research sample consisted of n = 556 respondents. On the basis of the obtained results, we conclude that early identification of future needs in terms of competences gives the possibility of setting up training activities aimed at acquiring new, missing and needed-for-the-future competences of employees. Full article
(This article belongs to the Special Issue Technologies, Materials and Digital Management Solutions for Automotive Industry)
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17 pages, 24048 KiB  
Article
Research on Roughness and Microhardness of C45 Material Using High-Speed Machining
by Jan Duplak, Darina Duplakova and Jozef Zajac
Appl. Sci. 2023, 13(13), 7851; https://doi.org/10.3390/app13137851 - 04 Jul 2023
Cited by 1 | Viewed by 825
Abstract
From the point of view of production, it is of fundamental importance to know the cutting parameters at which the new surface of the component was created because only in this way is it possible to understand the nature and properties of the [...] Read more.
From the point of view of production, it is of fundamental importance to know the cutting parameters at which the new surface of the component was created because only in this way is it possible to understand the nature and properties of the created surface. Based on the information obtained, it is then possible to improve the processes used or to create machined surfaces with, if not zero, at least a minimum number of flaws. The main purpose of the article is to create a comprehensive overview of the behavior and properties of the selected material with a focus on the prediction of roughness depending on the cutting speed and depth of cut, Vickers microhardness evaluation, assessment of cutting tool wear, and assessment of the shape and structure of the resulting chip. The achieved results are recorded in graphical and verbal form, from which the necessary conclusions are drawn. From the performed analyses, a mathematical prediction of determining the quality of the machined surface was created, which reflects changes in roughness depending on the cutting speed in the three modifications (700 m/min, 1400 m/min, and 2000 m/min). Conclusions were also drawn regarding the characteristics of the resulting chip and the wear of the cutting edges depending on the change in cutting speed. The fluctuating course of surface roughness when changing the cutting speed can be considered a significant finding—at 1400 m/min, the surface roughness was expected to have a decreasing tendency; however, it increased; a decreasing tendency was not recorded until at speeds of 1800 m/min, but during this process, the material already crept. Full article
(This article belongs to the Special Issue Technologies, Materials and Digital Management Solutions for Automotive Industry)
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16 pages, 1782 KiB  
Article
Analysis and Determination of the Lateral Distance Parameters of Vehicles When Overtaking an Electric Bicycle from the Point of View of Road Safety
by Tijana Ivanišević, Aleksandar Trifunović, Svetlana Čičević, Dalibor Pešić, Sreten Simović, Aleksandar Zunjic, Darina Duplakova, Jan Duplak and Uros Manojlovic
Appl. Sci. 2023, 13(3), 1621; https://doi.org/10.3390/app13031621 - 27 Jan 2023
Cited by 2 | Viewed by 1397
Abstract
Recent years have witnessed an increasing number of electric bicycles on the roads and a rise in the number of road crashes involving e-bicyclists. There are various causes of road crashes involving e-bicyclists. Out of the total number of fatalities in traffic, bicyclists [...] Read more.
Recent years have witnessed an increasing number of electric bicycles on the roads and a rise in the number of road crashes involving e-bicyclists. There are various causes of road crashes involving e-bicyclists. Out of the total number of fatalities in traffic, bicyclists account for 9% in the Republic of Serbia. Road crashes occurring when motor vehicles overtake bicyclists make up 13% of the total number of road crashes involving bicyclists. Having in mind the above-mentioned, an experimental study has been conducted in order to analyze whether the use of helmets and reflective vests, different vehicle categories, and the speed of electric bicycles affect the lateral distance when overtaking e-bicycles. This research analyzed the lateral distance of 1228 vehicles overtaking an e-bicyclist. There are statistically significant differences in the lateral distance when overtaking an e-bicycle regarding helmet use, different vehicle categories overtaking the e-bicycle, and different speeds of the e-bicycle. The results showed that a faster speed of an e-bicycle led to a shorter lateral distance when overtaking it and that SUV drivers (along with motorcycle drivers) had the shortest lateral distance when overtaking e-bicycles. Full article
(This article belongs to the Special Issue Technologies, Materials and Digital Management Solutions for Automotive Industry)
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Review

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20 pages, 1413 KiB  
Review
A Perspective on Ethernet in Automotive Communications—Current Status and Future Trends
by Lucia Lo Bello, Gaetano Patti and Luca Leonardi
Appl. Sci. 2023, 13(3), 1278; https://doi.org/10.3390/app13031278 - 18 Jan 2023
Cited by 8 | Viewed by 3799
Abstract
Automated driving requires correct perception of the surrounding environment in any driving condition. To achieve this result, not only are many more sensors than in current Advanced Driver Assistant Systems (ADAS) needed, but such sensors are also of different types, such as radars, [...] Read more.
Automated driving requires correct perception of the surrounding environment in any driving condition. To achieve this result, not only are many more sensors than in current Advanced Driver Assistant Systems (ADAS) needed, but such sensors are also of different types, such as radars, ultrasonic sensors, LiDARs, and video cameras. Given the high number of sensors and the bandwidth requirements of some of them, high-bandwidth automotive-grade networks are required. Ethernet technology is a suitable candidate, as it offers a broad selection of automotive-grade Ethernet physical layers, with transmission speeds ranging from 10 Mbps to 10 Gbps. In addition, the Time-Sensitive Networking (TSN) family of standards offers several features for Ethernet-based networks that are suitable for automotive communications, such as high reliability, bounded delays, support for scheduled traffic, etc. In this context, this paper provides an overview of Ethernet-based in-car networking and discusses novel trends and future developments in automotive communications. Full article
(This article belongs to the Special Issue Technologies, Materials and Digital Management Solutions for Automotive Industry)
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