Special Issue "Selected Papers from the 17th International Conference Research and Development in Mechanical Industry"

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (31 May 2018).

Special Issue Editors

Prof. Dr. Predrag Dašić
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Guest Editor

Special Issue Information

Dear Colleagues,

The 17th International Conference, "Research and Development in Mechanical Industry" (RaDMI-2017) (Web site: http://www.radmi.org/), will be held 14–17 September, 2017, in Zlatibor (Serbia), organized by the publishing house "SaTCIP" Publisher Ltd. from Vrnjačka Banja (Serbia).

More than 70 participants from Bosnia and Herzegovina, Bulgaria, Croatia, Greece, Italy, Montenegro, Romania, Russia, Serbia, Slovenia, Ukraine, and others, have applied to the conference.

All papers will be printed in the proceedings in hard copy and on CD-ROM in an electronic format.

All original and research papers from the 17th International Conference RaDMI-2017, which successfully pass the review process, will be published in the journal Machines (ISSN 2075-1702) (website: https://www.mdpi.com/journal/machines/) in this Special Issue at the end 2017. The publication is issued by MDPI (Multidisciplinary Digital Publishing Institute) A.G. from Basel (Switzerland) (website: https://www.mdpi.com/). Machines is indexed in the following citation databases: Scopus from Elsevier (https://www.scopus.com/), ESCI (Emerging Sources Citation Index) as part of WoS (Web of Science) from Clarivate Analytics Corp. (Web site: https://www.clarivate.com/products/web-of-science/), INSPEC from IET (Institution of Engineering and Technology) (website: http://www.theiet.org/resources/inspec/), GS (Google Scholar) (website: http://scholar.google.com/), etc.

This Special Issue aims to bring together papers that report on recent advances and challenges in addressing problems and designing new solutions for the improvements of tools, equipments, and technologies in manufacturing engineering. Original contribution papers are expected with contents that present successful solutions to new problems in manufacturing systems. We believe that this Special Issue will be useful and informative to both researchers and practitioners. We also hope to deliver readers promising new ideas and directions for future developments in the field of manufacturing engineering.

Suitable topics for this Special Issue include, but are not limited to:
  • Research and development of manufacturing systems;
  • Tools, equipments and technologies in manufacturing engineering;
  • New materials and product design;
  • Tribology;
  • Maintenance and effectiveness of technical systems;
  • Quality management, sustainable development and management in mechanical engineering;
  • Application of information technologies and electronics in mechanical engineering.
Prof. Dr. Ivica Ristović
Prof. Predrag Dašić
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 papers will be 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 quarterly 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 1000 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

  • Mechanical engineering
  • Manufacturing systems
  • Machining
  • Product design

Published Papers (4 papers)

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Research

Open AccessArticle
On the Evaluation of Errors in the Virtual Design of Mechanical Systems
Machines 2018, 6(3), 36; https://doi.org/10.3390/machines6030036 - 06 Aug 2018
Cited by 13
Abstract
In this article, the information value is used in numeric analysis as both a method for data approximation and a measure of data equality among a set of values. To this end, a surface segmentation, based on a study for constructing a hierarchy [...] Read more.
In this article, the information value is used in numeric analysis as both a method for data approximation and a measure of data equality among a set of values. To this end, a surface segmentation, based on a study for constructing a hierarchy for vectors clustering using certain similarity criteria, is presented. The technique is based on the analysis of vectors representing regions associated with given types of critical points. An approach based on the Max Entropy in Metric Space (MEMS) is introduced in the paper, in order to extract a cluster of local features and to obtain an analysis of mechanical systems in the 2D and/or 3D spaces. The approach proposed in the paper can be effectively used in virtual prototyping and optimal designing of mechanical systems. Full article
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Open AccessArticle
Cold Rolling of Steel Strips with Metal-Working Coolants
Machines 2018, 6(3), 29; https://doi.org/10.3390/machines6030029 - 10 Jul 2018
Abstract
The efficiency of cold rolling of steel strip in the main depends on the quality of technological lubricant and its cost. In this regard, it is important to develop new compositions of effective metalworking coolants that are low cost and provide maximum reduction [...] Read more.
The efficiency of cold rolling of steel strip in the main depends on the quality of technological lubricant and its cost. In this regard, it is important to develop new compositions of effective metalworking coolants that are low cost and provide maximum reduction in the friction coefficient. We developed and tested the new compositions of metalworking coolants on the basis of vegetable oil and chicken fat. The metalworking coolants were tested in Donbas State Engineering Academy (DSEA) on a laboratory rolling mill, 100 × 100, in cold rolling of 08Kp steel. The efficiency of the coolants was determined by the stretch ratio λ and the friction coefficient μ in the deformation zone, which was found by the forward slip method. We found the metalworking coolant with 100% concentration of boric acid esters of mono- and diglycerides is the most effective in the rolling of thin steel strips. Thus, the new metalworking coolants (MWC) on the basis of boric acid esters of mono- and diglycerides, synthesized on the basis of sunflower oil, can be recommended for use in the rolling of structural steels on account of its availability, high efficiency and low cost. Full article
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Open AccessArticle
On the Computational Methods for Solving the Differential-Algebraic Equations of Motion of Multibody Systems
Machines 2018, 6(2), 20; https://doi.org/10.3390/machines6020020 - 04 May 2018
Cited by 9
Abstract
In this investigation, different computational methods for the analytical development and the computer implementation of the differential-algebraic dynamic equations of rigid multibody systems are examined. The analytical formulations considered in this paper are the Reference Point Coordinate Formulation based on Euler Parameters (RPCF-EP) [...] Read more.
In this investigation, different computational methods for the analytical development and the computer implementation of the differential-algebraic dynamic equations of rigid multibody systems are examined. The analytical formulations considered in this paper are the Reference Point Coordinate Formulation based on Euler Parameters (RPCF-EP) and the Natural Absolute Coordinate Formulation (NACF). Moreover, the solution approaches of interest for this study are the Augmented Formulation (AF) and the Udwadia–Kalaba Equations (UKE). As shown in this paper, the combination of all the methodologies analyzed in this work leads to general, effective, and efficient multibody algorithms that can be readily implemented in a general-purpose computer code for analyzing the time evolution of mechanical systems constrained by kinematic joints. This study demonstrates that multibody algorithm based on the combination of the NACF with the UKE turned out to be the most effective and efficient computational method. The conclusions drawn in this paper are based on the numerical results obtained for a benchmark multibody system analyzed by means of dynamical simulations. Full article
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Open AccessArticle
Obstacle Avoidance System for Unmanned Ground Vehicles by Using Ultrasonic Sensors
Machines 2018, 6(2), 18; https://doi.org/10.3390/machines6020018 - 24 Apr 2018
Cited by 15
Abstract
Artificial intelligence is the ability of a computer to perform the functions and reasoning typical of the human mind. In its purely informatic aspect, it includes the theory and techniques for the development of algorithms that allow machines to show an intelligent ability [...] Read more.
Artificial intelligence is the ability of a computer to perform the functions and reasoning typical of the human mind. In its purely informatic aspect, it includes the theory and techniques for the development of algorithms that allow machines to show an intelligent ability and/or perform an intelligent activity, at least in specific areas. In particular, there are automatic learning algorithms based on the same mechanisms that are thought to be the basis of all the cognitive processes developed by the human brain. Such a powerful tool has already started to produce a new class of self-driving vehicles. With the projections of population growth that will increase until the year 2100 up to 11.2 billion, research on innovating agricultural techniques must be continued. In order to improve the efficiency regarding precision agriculture, the use of autonomous agricultural machines must become an important issue. For this reason, it was decided to test the use of the “Neural Network Toolbox” tool already present in MATLAB to design an artificial neural network with supervised learning suitable for classification and pattern recognition by using data collected by an ultrasonic sensor. The idea is to use such a protocol to retrofit kits for agricultural machines already present on the market. Full article
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