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1.
Controllability and small-signal oscillations of magnetic flux linkages in doubly fed induction machines
Boštjan Polajžer, Annette Muetze, Seyed Ali Seyed-Bouzari, Jožef Ritonja, 2025, izvirni znanstveni članek

Opis: This paper examines the controllability of the stator and rotor magnetic flux linkages of doubly fed induction machines (DFIMs), considering small-signal oscillations and their relationship with electromagnetic machine design. To this aim, we first analyze 66 sets of lumped parameters from the dynamic model of a DFIM. Based on this, we classify DFIMs into three categories based on their modal parameters, namely, two for wind applications and one for pumped-hydro applications. Additionally, we identify reciprocal relationships between the damping of both identified oscillatory modes and the largest eigenvalues of the stator and rotor controllability Gramian matrices. Among the different lumped parameters, the winding resistances are found to influence these relationships the most. All analyzed DFIMs for wind applications were found to be less controllable and to exhibit better damping of oscillatory modes than DFIMs for pumped-hydro applications. Furthermore, based on the results of the controllability analysis, we selected three objective function candidates suitable for an optimization procedure aimed at minimizing the energy required to control the rotor flux linkages. An example objective function was evaluated in a multi-objective DFIM design process for wind applications that enables the design of more controllable machines that provide the desired damping of oscillations, which can consequently contribute to improving grid resilience.
Ključne besede: contorollability, design optimization, doubly fied indusction generators, modal analysis
Objavljeno v DKUM: 14.01.2026; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (4,52 MB)

2.
Optimization of an IPMSM for constant-angle square-wave control of a BLDC drive
Mitja Garmut, Simon Steentjes, Martin Petrun, 2024, izvirni znanstveni članek

Opis: Interior permanent magnet synchronous machines (IPMSMs) driven with a square-wave control (i.e., six-step, block, or 120◦ control), known commonly as brushless direct current (BLDC) drives, are used widely due to their high power density and control simplicity. The advance firing (AF) angle is employed to achieve improved operation characteristics of the drive. The AF angle is, in general, applied to compensate for the commutation effects. In the case of an IPMSM, the AF angle can also be adjusted to exploit reluctance torque. In this paper, a detailed study was performed to understand its effect on the drive’s performance in regard to reluctance torque. Furthermore, a multiobjective optimization of the machine’s cross-section using neural network models was conducted to enhance performance at a constant AF angle. The reference and improved machine designs were evaluated in a system-level simulation, where the impact was considered of the commutation of currents. A significant improvement in the machine performance was achieved after optimizing the geometry and implementing a fixed AF angle of 10◦.
Ključne besede: MTPA, maximum torque per ampere, IPM SM, interior permanent magnet synchronous machine, BLDC, brushless direct current drive, rotor optimization, square-wave control, advance firing angle, neural network
Objavljeno v DKUM: 13.01.2026; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (2,87 MB)
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3.
Two-phase optimization of binary sequences with low peak sidelobe level value
Borko Bošković, Janez Brest, 2024, izvirni znanstveni članek

Opis: The search for binary sequences with low peak sidelobe level value represents a formidable computational problem. To locate better sequences for this problem, we designed a stochastic algorithm that uses two fitness functions. In these fitness functions, the value of the autocorrelation function has a different impact on the final fitness value. It is defined with the value of the exponent over the autocorrelation function values. Each function is used in the corresponding optimization phase, and the optimization process switches between these two phases until the stopping condition is satisfied. The proposed algorithm was implemented using the compute unified device architecture and therefore allowed us to exploit the computational power of graphics processing units. This algorithm was tested on sequences with lengths � = 2� − 1, for 14 ≤ � ≤ 20. From the obtained results it is evident that the two-phase optimization improved the efficiency of the algorithm significantly, the solver speed is increased significantly by using graphics processing units, new-best known solutions were achieved, and the achieved peak sidelobe level values were significantly less than √ �.
Ključne besede: binary sequences, peak sidelobe level, two-phase optimization, parallel processing
Objavljeno v DKUM: 13.01.2026; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (803,46 KB)
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4.
Assembly transport optimization for a reconfigurable flow shop based on a discrete event simulation
S. L. Yang, 2020, izvirni znanstveni članek

Opis: Reconfigurable Manufacturing Systems (RMSs) are widely used to produce small batches of customized products in the current manufacturing environment. We comprehensively optimized the assembly transport strategy, production process, and production configuration of a reconfigurable flow shop (RFS). Firstly, three assembly transfer strategies, one-to-one, one-to-many, and many-to-many, are proposed for an RFS, given the specific process limitations. In addition, a production simulation model of the RFS is established by the Plant Simulation software to verify and compare those three strategies with realistic production constraints considered. Moreover, the production processes are optimized, and the optimal buffer configuration and vehicle configuration are optimized by the design of experiment (DOE) method. After the optimization processes, the throughput and facility utilization under each strategy increases significantly. Additionally, the optimal buffer size and vehicle quantity under each strategy are determined and compared. The one-to-one strategy can maximize the production output, but it requires the most production resources. In addition, the many-to-many strategy is more efficient than the one-to-many strategy. Our study provides a variety of assembly transport strategies for an RFS and offers an efficient optimization method for production performance and production configuration.
Ključne besede: Reconfigurable Manufacturing Systems, discrete event simulation, assembly transport strategy, optimization, plant simulation, reconfigurable flow shop, production configuration, simulation modelling
Objavljeno v DKUM: 13.01.2026; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (2,59 MB)
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5.
Improvement of logistics in manufacturing system by the use of simulation modelling : a real industrial case study
M. Straka, S. Khouri, Radim Lenort, P. Besta, 2020, izvirni znanstveni članek

Opis: The current practice and the requirements of industrial enterprises in all industrial areas require a detailed display of manufacturing systems course of events. In this paper, we studied the effects and impacts of computer simulation to improve the actual industrial production. We also verified whether the proposed simulation model and its intervention in the logistics of concrete production in a concrete manufacturing enterprise will correspond to reality. The EXTENDSIM simulation software was used. The simulation results utilization in practice has increased the actual production several times. The simulation results indicated that it is necessary to double the intensity of company supply, i.e. a frequency of entry set to 0.15 days for each timber type. This adjustment increased the performance of unutilized devices and the whole manufacturing system several times, up to 54,475 produced building timber elements, which represents an increase of production by about 199.6 % while maintaining company flexibility.
Ključne besede: logistics, manufacturing systems, simulation, modeling, optimization, EXTENDSIM simulation software
Objavljeno v DKUM: 09.01.2026; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (1,97 MB)
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6.
Geometric method for solving the rope path curve for cabin deceleration in cable car station
Sergej Težak, Kristijan Cafuta, 2025, izvirni znanstveni članek

Opis: In the article “New Technological Approach to Cable Car Boarding”, the authors attempted to correctly design the curve geometrically along which the rope moves through the station during the deceleration of cabins with attaching platforms in a central position, primarily intended for mass public transport. Since the suspension continuously connects the cabin and the rope during cabin deceleration, the rope moves at a constant speed along a special curve that enables the cabin to stop in the central position. This curve is symmetric with respect to the longitudinal axis of the station. However, the authors found that in the previous article presenting this cable car system, an error was made in the geometric design of the rope path curve, which the original authors were not aware of at the time. They determined that, in the presented example, a suspension length of 8 m was too short for the combination of rope speed of 5 m/s (cable car speed) and cabin deceleration of 0.5 m/s2. This article revisits this geometric problem in greater detail. The study shows that not every combination of rope speed, suspension length, and cabin deceleration in the central position functions correctly. First, the boundary conditions and spatial constraints of the rope path curve were defined. Based on the upper bound and lower bound rope path lengths, the optimal or correct shape of the rope path curve was determined geometrically. The study concludes that for a given combination of rope speed (cable car speed) and cabin deceleration, only one suspension length is suitable. In the case of a rope speed of 5 m/s and cabin deceleration of 0.5 m/s2, the correct suspension length is 16.85 m. The authors also found that the result depends on the time interval used in constructing the curve.
Ključne besede: cable cars, rope path curve, geometric modeling, cabin deceleration, attaching platforms, suspension length optimization, public transport, high-capacity transit
Objavljeno v DKUM: 18.12.2025; Ogledov: 0; Prenosov: 2
.pdf Celotno besedilo (1,51 MB)
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7.
Advancing intelligent toolpath generation: A systematic review of CAD–CAM integration in Industry 4.0 and 5.0
Marko Simonič, Iztok Palčič, Simon Klančnik, 2025, izvirni znanstveni članek

Opis: This systematic literature review investigates advancements in intelligent computer-aided design and computer-aided manufacturing (CAD–CAM) integration and toolpath generation, analyzing their evolution across Industry 4.0 and emerging Industry 5.0 (I5.0) paradigms. Using the theory–contextcharacteristics–methodology framework, the study synthesizes 51 peer-reviewed studies (from 2000 to 2025) to map theoretical foundations, industrial applications, technical innovations, and methodological trends. Findings reveal that artificial intelligence (AI) and machine learning dominate research, driving breakthroughs in feature recognition, adaptive toolpath optimization, and predictive maintenance. However, human-centric frameworks central to I5.0, such as socio-technical collaboration, remain underexplored. High-precision sectors (aerospace, biomedical) lead adoption, while small and medium enterprises (SMEs) lag due to resource constraints. Technologically, AI-driven automation and STEP-NC standards show promise, yet interoperability gaps persist due to fragmented data models and legacy systems. Methodologically, AI-based modeling prevails (49 % of studies), but experimental validation and socio-technical frameworks are sparse. Key gaps include limited real-time adaptability, insufficient AI training datasets, and slow adoption of sustainable practices. The review highlights the urgent need for standardized data exchange protocols, scalable solutions for SMEs, and human-AI collaboration models to align CAD–CAM integration with I5.0’s
Ključne besede: CAD–CAM integration, Industry 4.0, Industry 5.0, toolpath optimization, AI, theory–context–characteristics–methodology (TCCM)
Objavljeno v DKUM: 09.12.2025; Ogledov: 0; Prenosov: 6
.pdf Celotno besedilo (636,16 KB)
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8.
Numerical solving of dynamic thermography inverse problem for skin cancer diagnosis based on non-Fourier bioheat model
Ivan Dominik Horvat, Jurij Iljaž, 2025, izvirni znanstveni članek

Opis: This paper presents numerical solving of the inverse bioheat problem to estimate four skin cancer parameters; diameter, thickness, blood perfusion rate and thermal relaxation time, based on the thermal response on the skin surface obtained by dynamic thermography and numerical skin cancer model, which can greatly enhance dynamic thermography diagnostics. To describe the heat transfer inside biological tissue and thermal behavior during the dynamic thermography process as realistic as possible, the non-Fourier dual-phase-lag bioheat model was used, as well as skin cancer model has been composed of multilayered healthy skin, embedded skin tumor and subcutaneous fat and muscle. Boundary element method has been used to solve a complex non-Fourier bioheat model to simulate dynamic thermography based on the skin cancer model and guessed searched parameters to obtain the thermal response on the skin surface during the cooling and rewarming phase using a cold air jet provocation, which is needed for the solution of the inverse bioheat problem. The inverse problem has been solved by optimization approach using the hybrid Levenberg-Marquardt optimization method, while the measurement data has been generated numerically with known exact tumor parameters and added noise, to evaluate the accuracy and sensitivity of the solution. Inverse problem solution has been tested for two different thermal responses; absolute temperature and temperature difference response, as well as for two different tumor stages; early stage or Clark II and later stage or Clark IV tumor. All important tumor parameters were successfully retrieved, especially the diameter and relaxation time, even for the high level of noise, while the accuracy of obtained parameters is slightly better using absolute temperature response. The results demonstrate the robustness of the method and a promising way for early diagnosis. The findings contribute to improving bioheat modeling in biological tissues, solving inverse bioheat problems and advancing dynamic thermography as a non-invasive tool for early skin cancer diagnosis.
Ključne besede: numerical modeling, dynamic thermography, inverse problem, non-Fourier bioheat transfer, dual-phase-lag model, boundary element method, Levenberg-Marquardt optimization
Objavljeno v DKUM: 09.12.2025; Ogledov: 0; Prenosov: 6
.pdf Celotno besedilo (1,83 MB)
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9.
Improving AGV path planning efficiency using Genetic Algorithms with Hamming distance-based initialization
Žiga Breznikar, Janez Gotlih, Ž. Artič, Miran Brezočnik, 2025, izvirni znanstveni članek

Opis: This paper presents a Genetic Algorithm (GA) framework for warehouse navigation as a Travelling Salesman Problem (TSP) variant for Automated Guided Vehicles (AGVs). The warehouse layout is represented as a graph, where pick-up locations serve as terminal nodes. A distance matrix, computed via Breadth-First Search (BFS) enables efficient route evaluation. To promote diversity in the initial population, a Hamming distance-based vectorized initialization strategy is employed, ensuring that the chromosomes are maximally distinct. The GA balances exploration and exploitation by dynamically adjusting the fitness function. Early generations emphasize diversity, while later ones focus on solution refinement, improving convergence and avoiding premature stagnation. Our key contribution demonstrates that the Hamming distance-based approach achieves comparable or better results with significantly fewer chromosomes. This reduces computational cost and runtime, making the method well-suited for real-time AGV routing in warehouses. The framework is adaptable to structured environments and shows strong potential for integration into real-world logistics and robotics applications. Future work will focus on optimizing the algorithm and integrating it into the ROS 2 environment.
Ključne besede: automated guided vehicles (AGV), warehouse routing, combinatorial optimization, Hamming distance initialization, Robot operating system 2 (ROS 2)
Objavljeno v DKUM: 28.11.2025; Ogledov: 0; Prenosov: 6
.pdf Celotno besedilo (677,22 KB)
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10.
Cogging torque reduction techniques in axial flux permanent magnet machines : a review
Franjo Pranjić, Peter Virtič, 2024, pregledni znanstveni članek

Opis: Axial flux permanent magnet machines have garnered significant attention in recent years due to their numerous advantages in various applications, including electric vehicles, wind turbines, and robotics. However, one of the critical challenges associated with these machines is the presence of cogging torque, which can hinder their efficiency and performance. This review article provides a comprehensive overview of the state-of-the-art techniques employed for cogging torque reduction in Axial Flux Permanent Magnet Machines. Different techniques are described, encompassing geometric optimization, magnet placement, and skewing methods. Firstly, the significance of Axial Flux Permanent Magnet Machines is described, as well as the issue of the cogging torque. In the methods section, a review of the strategies for the reduction of cogging torque is described from various articles, and finally, in the discussion section, a list of actions is presented for cogging torque reduction for different topologies. The novelty of the study is that it combines strategies for cogging torque reduction in a single article.
Ključne besede: cogging torque, axial flux permanent magnet machines, geometric optimization, magnet placement strategies, skewing techniques
Objavljeno v DKUM: 06.11.2025; Ogledov: 0; Prenosov: 3
.pdf Celotno besedilo (6,51 MB)
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