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1.
Faculty of Mechanical Engineering : Research Guide
2025, vodič

Opis: The publication presents an overview of research activities and research achievements at the Faculty of Mechanical Engineering. The following research areas are presented: Energy, process and environmental engineering, Construction and design, Materials technology, Mechanics, Production engineering, Textile materials and design, and Fundamental and general areas. Individual laboratories and centers of the faculty present their research equipment, service offerings for industry, collaborations with companies and other institutions, the most prominent publications, patents, national and international projects and the most important research achievements.
Ključne besede: energy, construction and design, process and environmental engineering, materials technology, mechanics, production engineering, textile materials and design
Objavljeno v DKUM: 01.04.2025; Ogledov: 0; Prenosov: 2
.pdf Celotno besedilo (18,43 MB)
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2.
Using a region-based convolutional neural network (R-CNN) for potato segmentation in a sorting process
Jaka Verk, Jernej Hernavs, Simon Klančnik, 2025, izvirni znanstveni članek

Opis: This study focuses on the segmentation part in the development of a potato-sorting system that utilizes camera input for the segmentation and classification of potatoes. The key challenge addressed is the need for efficient segmentation to allow the sorter to handle a higher volume of potatoes simultaneously. To achieve this, the study employs a region-based convolutional neural network (R-CNN) approach for the segmentation task, while trying to achieve more precise segmentation than with classic CNN-based object detectors. Specifically, Mask R-CNN is implemented and evaluated based on its performance with different parameters in order to achieve the best segmentation results. The implementation and methodologies used are thoroughly detailed in this work. The findings reveal that Mask R-CNN models can be utilized in the production process of potato sorting and can improve the process.
Ključne besede: image segmentation, potato sorting, neural network, mask RCNN, object detection, production process, machine learning, AI
Objavljeno v DKUM: 27.03.2025; Ogledov: 0; Prenosov: 9
.pdf Celotno besedilo (5,97 MB)
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3.
A review of the use of Rankine cycle systems for hydrogen production
Urška Novosel, Jurij Avsec, 2020, izvirni znanstveni članek

Opis: The vast majority of steam power plants in the world are based on the Rankine cycle. It is a wellknown, trustworthy process that uses water or water vapour as a working medium, which supplies heat from various primary energy sources: fossil fuels, renewable energy sources (solar energy, energy from wood biomass, etc.) or a combination of both. With the Rankine cycle, energy sources other than electricity can be produced, which can be used as the primary energy source for various applications. The present article focuses on the production of hydrogen in addition to electricity; therefore, two energy sources are obtained from the same system with a few modifications of the existing power plant for further exploitation. There are several processes for hydrogen production using the Rankine cycle; in the present article, two processes are focused on: using part of the electricity produced and obtaining hydrogen by electrolysis of water or using part of high quality steam (basically heat energy) in combination with electricity and obtaining hydrogen by a thermochemical copper-chlorine process. Each of these processes has its advantages and disadvantages, which are presented in the present article with an example model of a power plant.
Ključne besede: Rankine cycle, hydrogen production, electrolysis, thermochemical process
Objavljeno v DKUM: 01.12.2023; Ogledov: 483; Prenosov: 5
.pdf Celotno besedilo (894,90 KB)
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4.
Multiple-effect evaporation in aluminosilicate technology
Dušan Klinar, Janvit Golob, 2001, strokovni članek

Opis: The article presents an engineering approach to the development of an alternative production with the existing equipment. Zeolite production is becoming an alternative to the old »Bayer« process for aluminum hydrate production. By applying appropriate know-how old equipment was used for an economically as well as ecologically acceptable production. In this equipment adaptation among other production steps the multistage evaporation battery was the most critical part of the process. We applied semi empirical approach on the basis of Z. Rant ideas to find heat transfer coefficients and to determine which equipment elements are more relevant for efficient performance and need serious maintenance.
Ključne besede: chemical engineering, evaporation in silicate technology, bauxite alumina production, evaporators, process optimization, heat transfer, heat flow, empirical equations, heat transfer coefficients, zeolites
Objavljeno v DKUM: 24.08.2017; Ogledov: 1618; Prenosov: 112
.pdf Celotno besedilo (354,14 KB)
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5.
Advances in production and industrial engineering
2017, znanstvena monografija

Opis: This publication, scientific monograph, offers comprehensive chapter series from scientific researchers conducted by regional authors, authorities in the fields and summarizes the principal scientific contributions. The chapters deal with range topics from optimization techniques in production development, quality in production processes, product and process development, technologies for business development and factors of social and economic development. Edited by two editors with contributions from chapters’ authors, this scientific monograph presents advanced topics for students, educators and practitioners. The editors would like to thank all chapters’ authors for devoting of the research results and expertise with the great enthusiasm. We encourage all of them to continue successful highly valuable cooperation, between Faculty of Mechanical Engineering at the University of Maribor and Faculty of Mechanical Engineering at the Ss. Cyril and Methodius University in Skopje.
Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno v DKUM: 19.07.2017; Ogledov: 1548; Prenosov: 400
.pdf Celotno besedilo (8,32 MB)
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6.
Advances in production and industrial engineering
2017, znanstvena monografija

Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno v DKUM: 05.05.2017; Ogledov: 1390; Prenosov: 553
.pdf Celotno besedilo (6,80 MB)
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7.
The need for simulation in complex industrial systems
Khalid Aboura, Miroljub Kljajić, Ali Eskandarian, 2012, izvirni znanstveni članek

Opis: We discuss the concept of simulation and its application in the resolution of problems in complex industrial systems. Most problems of serious scale, be it an inventory problem, a production and distribution problem, a management of resources or process improvement, all real world problems require a mix of generic, data algorithmic and Ad-hoc solutions making the best of available information. We describe two projects in which analytical solutions were applied or contemplated. The first case study uses linear programming in the optimal allocation of advertising resources by a major internet service provider. The second study, in a series of projects, analyses options for the expansion of the production and distribution network of mining products, as part of a sensitive strategic business review. Using the examples, we make the case for the need of simulation in complex industrial problems where analytical solutions may be attempted but where the size and complexity of the problem forces a Monte Carlo approach.
Ključne besede: simulation, linear programming, production process
Objavljeno v DKUM: 10.07.2015; Ogledov: 1232; Prenosov: 404
.pdf Celotno besedilo (448,62 KB)
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8.
On the problem of formulating principles in nonequilibrium thermodynamics
Paško Županović, Domagoj Kuić, Davor Juretić, Andrej Dobovišek, 2010, izvirni znanstveni članek

Opis: In this work, we consider the choice of a system suitable for the formulation of principles in nonequilibrium thermodynamics. It is argued that an isolated system is a much better candidate than a system in contact with a bath. In other words, relaxation processes rather than stationary processes are more appropriate for the formulation of principles in nonequilibrium thermodynamics. Arguing that slow varying relaxation can be described with quasi-stationary process, it is shown for two special cases, linear nonequilibrium thermodynamics and linearized Boltzmann equation, that solutions of these problems are in accordance with the maximum entropy production principle.
Ključne besede: thermodynamics, entropy, relaxation, stationary process, entropy production
Objavljeno v DKUM: 07.06.2012; Ogledov: 1627; Prenosov: 401
.pdf Celotno besedilo (73,34 KB)
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9.
A model of simulation environment for prediction and optimisation of production processes
Igor Drstvenšek, Mirko Ficko, Ivo Pahole, Jože Balič, 2004, izvirni znanstveni članek

Opis: Paper describes means and methods for computer based optimisation of production processes using a new approach based on technological database (TDB) with genetic algorithm incorporated into a database management system (DBMS). The TDB serves as a store of tools and machine tools from which they can be assigned to different work operations. Work operations are basic entities of orders placed into queues. The goal of the model is to find available resources from the TDB in order to empty the queue in shortest time with lowest costs. To this purpose the model consist the technological database whose DBMS includes a genetic algorithm based optimiser. It checks the orders queue and searches for appropriate combinations of tools and machine tools from the TDB, which can be combined into needed work operations. It also performs an optimisation of time and costs according to so called static parameters of tools and machine tools.
Ključne besede: production processes, simulation, process planning, technological databases, genetic algorithms
Objavljeno v DKUM: 01.06.2012; Ogledov: 1875; Prenosov: 105
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10.
Development and validation of business process reengineering (BPR) variables: a survey research in Slovenian companies
Nataša Vujica-Herzog, Andrej Polajnar, Stefano Tonchia, 2007, izvirni znanstveni članek

Opis: Business Process Reengineering (BPR) literature is based primarily on case studies and there is a lack of rigorous wide-ranging empirical research covering all its aspects. This paper presents the results of a survey researchcarried out in 73 medium and large-sized Slovenian manufacturing companies. Seven crucial areas were identified based on a synthesis of BPR literature, which must be practised to achieve effective process reengineering: management commitment, education & training, team work, BPR project characteristics, employee cooperation, information technology support,and levers & results. Variables have been constructed within these areas, using Likert scales, and statistical validity and reliability analyses.These developed variables can be important both for understanding BPRand in terms of the descriptive statistics, also reported in this paper. What emerges is the crucial importance of process orientation, goal setting, and top management commitment. Furthermore, these variables can be helpful forfurther research aimed at investigating BPR and its linkages with other areas, such as strategy, performance measurement, etc.
Ključne besede: production management, process management, business process reingeneering, survey research
Objavljeno v DKUM: 31.05.2012; Ogledov: 2018; Prenosov: 113
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