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1.
Electrified powertrain configurator
Jernej Kosi, 2019, magistrsko delo

Opis: This master’s thesis describes the development, use and simulation results of the Excel based electrified powertrain configurator tool. First, different electrified powertrains are introduced and divided based on the powertrain type. Within the scope of this master’s thesis, we focused on battery electric vehicles. A mathematical vehicle model was developed to describe different battery electric vehicle powertrain architectures. The mathematical vehicle model was implemented in Excel. The performance of the Excel tool was demonstrated by simulating various driving cycles. To evaluate the accuracy and usability of the tool, simulation results from Excel tool were compared with those from AVL Cruise.
Ključne besede: electrified powertrain, vehicle longitudinal dynamic, driving simulation, Excel, tool development
Objavljeno: 23.12.2019; Ogledov: 472; Prenosov: 0

2.
CSR EMAT is an opportunity for responsible decision-making
Nora Berkes Rodek, 2017, izvirni znanstveni članek

Opis: Corporate social responsibility is an expected behaviour in Western countries, but the approach still does not have a clear interpretation in Hungary. As a result of the increasing prestige of the CSR approach, socially responsible thinking and action also are expected from the companies operating in Hungary. Company executives carry out CSR activities in many cases – but not consciously. The objective of this research therefore was the development of a guidance and evaluation criteria that can support managers in responsible decision-making and applying the CSR approach to a strategic level. On the other hand, this management tool allows the measurement of CSR excellence in companies; therefore, they become comparable in their CSR performance, which offers opportunities for further research. The study presents the development of CSR EMAT and the results achieved through the measurements.
Ključne besede: corporate social responsibility, EFQM excellence model, CSR EMAT, CSR excellence management, assessment tool
Objavljeno: 03.05.2018; Ogledov: 418; Prenosov: 108
.pdf Celotno besedilo (395,08 KB)
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3.
Estimating truck operating costs for domestic trips
Eleftherios Sdoukopoulos, Maria Boile, Afroditi Anagnostopoulou, 2015, izvirni znanstveni članek

Opis: The transport sector represents a vital component of national economies and has significant impacts on productivity and social welfare. In 2012, the transport sector in Europe was estimated to account for 3.7% of the European Gross Domestic Product (GDP) and 5.1% for employment. Road transport proves to be the predominant mode for moving goods within Europe holding a share of approximately 45.8% in 2012 (in ton-kms). In Greece, the share of road freight transport is significantly higher (98%) indicating the importance of this sector for the Greek economy. To this end and considering the existing needs of road freight transport operators in Greece, the objective of this research is to establish an analytical and documented basis for estimating the operating cost of a truck on specific urban or national freight transport routes. To achieve this goal, an extended literature review has been conducted resulting in the identification of the main components comprising the total truck operating cost, which were then updated and validated through a series of personal interviews with selected road freight transport professionals. An excel-based application tool was also developed in order to facilitate operating cost estimates for different cases, through selection of the proper values of the relevant parameters. The resulting tool was used to analyse four test cases, which demonstrate the tool’s usability and applicability. Results from this analysis have been also validated by industry experts and they reflect real-world transport scenarios.
Ključne besede: cost calculation tool, road freight transport, truck operating costs
Objavljeno: 17.11.2017; Ogledov: 444; Prenosov: 103
.pdf Celotno besedilo (339,45 KB)
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4.
The development of spatial representation in the world of new media
Bea Tomšič Amon, 2011, izvirni znanstveni članek

Opis: With the development of spatial perceptions being one of the most important goals of visual art education, we analysed the influence of different didactic tools – dynamic or static in the development of pupils’ spatial perception. After an initial testing, we formed groups considering three different levels in their abilities to represent spatial organizations. In experimental groups pupils were introduced with the contents of the lesson using moving images while in control groups we used static images. Pupils had to make a drawing using the cues to represent space. While pupils from the advanced level did not show differences, in the second group they showed more detailed drawings in the case of the use of dynamic didactic means. Among the less talented pupils, the results showed a difference: improvement in the case of static images while dynamic images produced a kind of insecurity that did not allow the free development of pupils’ expression. We concluded that it is important to use the adequate didactic tools taking into account the goals we wish to achieve: dynamic images foster a unique experience of space but they can create insecurity and negative feelings in pupils that find it difficult to express themselves in terms of two dimensional representations of space.
Ključne besede: new technologies, didactic tool, dynamic and static images, drawing
Objavljeno: 10.10.2017; Ogledov: 438; Prenosov: 85
.pdf Celotno besedilo (162,65 KB)
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5.
Web based education tool for neural network robot control
Jure Čas, Darko Hercog, Riko Šafarič, izvirni znanstveni članek

Opis: This paper describes the application for teleoperations of the SCARA robot via the internet. The SCARA robot is used by students of mehatronics at the University of Maribor as a remote educational tool. The developed software consists of two parts i.e. the continuous neural network sliding mode controller (CNNSMC) and the graphical user interface (GUI). Application is based on two well-known commercially available software packages i.e. MATLAB/Simulink and LabVIEW. Matlab/Simulink and the DSP2 Library for Simulink are used for control algorithm development, simulation and executable code generation. While this code is executing on the DSP-2 Roby controller and through the analog and digital I/O lines drives the real process, LabVIEW virtual instrument (VI), running on the PC, is used as a user front end. LabVIEW VI provides the ability for on-line parameter tuning, signal monitoring, on-line analysis and via Remote Panels technology also teleoperation. The main advantage of a CNNSMC is the exploitation of its self-learning capability. When friction or an unexpected impediment occurs for example, the user of a remote application has no information about any changed robot dynamic and thus is unable to dispatch it manually. This is not a control problem anymore because, when a CNNSMC is used, any approximation of changed robot dynamic is estimated independently of the remote's user.
Ključne besede: LabVIEW, Matlab/Simulink, neural network control, remote educational tool
Objavljeno: 19.07.2017; Ogledov: 694; Prenosov: 70
.pdf Celotno besedilo (792,88 KB)
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6.
Rigid body dynamics in optimization of the machine tool vibroisolation
Radomir Slavković, Aleksandar Veg, Nedeljko Dučić, Nikola Slavković, Jelena Baralić, Ivan Milićević, 2015, izvirni znanstveni članek

Opis: Modern design of the machine tool treats the suspending parts as a crucial element of the effective vibration isolation. Therefore the suspending items are specifically developed and subjected to extensive tests before being applied on real objects. These elements ensure accurate levelling and appropriate vibration damping. Usually selection of inadequate support element causes intensive disturbing effects in machining. The paper presents dynamics analysis of the machine tool suspended on flexible mountings. The overall analysis is conceived on a rigid body dynamics. This method enables selection of an optimal supporting configuration. Further on such an effective suspension design prevents a need for expensive monitoring of the dynamic characteristics of the mechanical system, i.e. machine tool and supports. The paper explores dynamics of a real, flexibly supported machine tool. Results are obtained with the assistance of the "SUPPORT" software. Finally the theoretical and computational statements are approved throughout extensive site measurements on the machine tool body with appropriate instrumentation.
Ključne besede: dynamics analysis, experiment, machine tool, software, transfer function
Objavljeno: 12.07.2017; Ogledov: 505; Prenosov: 309
.pdf Celotno besedilo (2,13 MB)
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7.
Methods for detecting fatigue cracks in gears
Aleš Belšak, Jože Flašker, 2009, objavljeni znanstveni prispevek na konferenci

Opis: A crack in the tooth root is the least desirable damage caused to gear units and it often causes failure of gear unit operation. For fault analyses presented in this article, gear units with real damages or faults produced on the basis of numerical simulations of real operating conditions are used; tests were carried out in a laboratory test plant. Damages in gear units can be identified by monitoring vibrations. The influences of a crack in a single-stage gear unit on produced vibrations are presented. Significant changes in tooth stiffness are caused by a fatigue crack in the tooth root whereas, in relation to other faults, changes of other dynamic parameters are more expressed. Non-stationary signals are analysed, using the family of Time Frequency Analysis tools, which include Wavelets and Joint Time Frequency Analyses.
Ključne besede: gear unit, vibrations, tooth root, time frequency analysis tool
Objavljeno: 30.06.2017; Ogledov: 530; Prenosov: 316
.pdf Celotno besedilo (705,13 KB)
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8.
Prediction of the hardness of hardened specimens with a neural network
Matej Babič, Peter Kokol, Igor Belič, Peter Panjan, Miha Kovačič, Jože Balič, Timotej Verbovšek, 2014, izvirni znanstveni članek

Opis: In this article we describe the methods of intelligent systems to predict the hardness of hardened specimens. We use the mathematical method of fractal geometry in laser techniques. To optimize the structure and properties of tool steel, it is necessary to take into account the effect of the self-organization of a dissipative structure with fractal properties at a load. Fractal material science researches the relation between the parameters of fractal structures and the dissipative properties of tool steel. This paper describes an application of the fractal dimension in the robot laser hardening of specimens. By using fractal dimensions, the changes in the structure can be determined because the fractal dimension is an indicator of the complexity of the sample forms. The tool steel was hardened with different speeds and at different temperatures. The effect of the parameters of robot cells on the material was better understood by researching the fractal dimensions of the microstructures of hardened specimens. With an intelligent system the productivity of the process of laser hardening was increased because the time of the process was decreased and the topographical property of the material was increased.
Ključne besede: fractal dimension, fractal geometry, neural network, prediction, hardness, steel, tool steel, laser
Objavljeno: 17.03.2017; Ogledov: 889; Prenosov: 79
.pdf Celotno besedilo (632,41 KB)
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9.
Real-time cutting tool condition monitoring in milling
Franc Čuš, Uroš Župerl, 2011, izvirni znanstveni članek

Opis: Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator. The principal presumption was that force signals contain the most useful information for determining the tool condition. Therefore, the ANFIS method is used to extract the features of tool states from cutting force signals. ANFIS method seeks to provide a linguistic model for the estimation of tool wear from the knowledge embedded in the artificial neural network. The ANFIS method uses the relationship between flank wear and the resultant cutting force to estimate tool wear. A series of experiments were conducted to determine the relationship between flank wear and cutting force as well as cutting parameters. Speed, feed, depth of cutting, time and cuttingforces were used as input parameters and flank wear width and tool state were output parameters. The forces were measured using a piezoelectric dynamometer and data acquisition system. Simultaneously flank wear at the cutting edge was monitored by using a tool maker's microscope. The experimental force and wear data were utilized to train the developed simulation environment based on ANFIS modelling. The artificial neural network, was also used to discriminate different malfunction states from measured signals. By developed tool monitoring system (TCM) the machining process can be on-line monitored and stopped for tool change based on a pre-set tool-wear limit. The fundamental limitation of research was to develop a single sensor monitoring system, reliable as commercially available system, but 80% cheaper than multisensor approach.
Ključne besede: end-milling, tool condition monitoring, wear estimation, ANFIS
Objavljeno: 10.07.2015; Ogledov: 1128; Prenosov: 98
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10.
A model of tool wear monitoring system for turning
Aco Antić, Goran Šimunović, Tomislav Šarić, Mijodrag Milošević, Mirko Ficko, 2013, izvirni znanstveni članek

Opis: Acquiring high-quality and timely information on the tool wear condition in real time, presents a necessary prerequisite for identification of tool wear degree, which significantly improves the stability and quality of the machining process. Defined in this paper is a model of tool wear monitoring system with special emphasis on the module for acquisition and processing of vibration acceleration signal by applying discrete wavelet transformations (DWT) in signal decomposition. The paper presents a model of the developed fuzzy system for tool wear classification. The system comprises three modules: module for data acquisition and processing, module for tool wear classification, and module for decision-making. The selected method for feature extraction is presented within the module for data classification and processing. The selected model for the fuzzy classifier and classification in experimental laboratory conditions is shown within data classification and clustering. The proposed model has been tested in longitudinal and transversal machining operations.
Ključne besede: artificial intelligence, tool wear monitoring, feature extraction
Objavljeno: 10.07.2015; Ogledov: 595; Prenosov: 67
.pdf Celotno besedilo (1,87 MB)
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