https://scidar.kg.ac.rs/handle/123456789/1 University of Kragujevac. Serbia Fri, 15 May 2026 00:54:05 GMT 2026-05-15T00:54:05Z https://scidar.kg.ac.rs/handle/123456789/23135 Title: Review on application of BIPV technology into the modern buildings Authors: Velemir Radović, Minja; Nikolić, Danijela Abstract: Over the past few decades, there has been a noticeable increase in global energy consumption, which represents a significant problem caused by unsustainable and harmful methods of energy production. This issue leads to an emission of harmful greenhouse gases and environmental pollution on a global scale. By considering the reasons that lead to the mentioned problems, emphasis has been placed on the technologies of the renewable energy sources, as a key solution for reducing harmful environmental consequences. As a contribution to the transition to a more sustainable energy system, solar photovoltaic technology is of great importance. In addition, special attention is paid to the integration of solar photovoltaic systems into building structures (building integrated photovoltaics - BIPV). The advantage of this technology is in the balance of efficient energy saving and generation, with aesthetic and visual comfort. By analyzing the implementation of BIPV, the study provides an insight into the potential of this technology, its contribution to the global energy sustainability, as well as the results achieved through the implementation of various solutions. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23135 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23134 Title: Multi-Criteria Ranking of Industrial Presses with Respect to Operational Performance Using the Square-Root based Evaluation Method (SREM) Authors: Komatina, Nikola; Petrović, Nikola; Pamucar, Dragan; Simic, Vladimir; Marinković, Dragan Abstract: This paper presents a Multi-Criteria Decision-Making (MCDM) framework for the evaluation and ranking of industrial punch presses based on their operational performance. The case study was conducted in a company engaged in the production of industrial machines and assemblies. For the first time, the Square-Root based Evaluation Method (SREM) is introduced and applied, aiming to overcome certain limitations of MCDM methods based on linear data normalization. The SREM method introduces a combined nonlinear transformation approach based on square and root transformations. Unlike standard approaches, it employs a fusion of these two transformations, thereby enabling decision makers to balance between emphasizing excellent (extreme) alternative values with respect to a given criterion and achieving ranking stability by reducing the influence of such alternatives. The former is achieved through the square transformation, while the latter is attained through the root transformation. The results obtained using the SREM method were compared with those derived from the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Simple Additive Weighting (SAW) methods under three different scenarios, i.e., varying criterion weights. The comparative analysis confirmed the robustness of the SREM method. The results further indicate that SREM provides flexibility and inherently incorporates sensitivity analysis, which can be highly valuable in practice, as problem analysis does not require the application of multiple MCDM methods. Description: Dostupno na: https://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/14609 Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23134 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23133 Title: Root cause assessment of welded satellite gear carrier failure in a bucket wheel excavator Authors: Arsić, Dušan; Nikolic, Ruzica; Arsić, Aleksandra; Bokuvka, Otakar; Mandic, Vesna Abstract: In this study was investigated the fracture of the welded supporting structure of a satellite carrier of a bucket wheel excavator drive reducer. The research was aimed at identifying the root causes of the failure through an integrated failure analysis combining theoretical calculations, numerical modelling and experimental investigations. The loading analysis included digging resistance, natural and forced oscillations of the excavator structure, and verification of the support strength under variable operating conditions. Finite element analysis was used to determine the stress state in the critical regions of the carrier, while the field measurements were performed to assess operational stresses and vibration be-havior under different excavation regimes. In addition, metallographic and scanning electron micros-copy examinations were carried out to identify the fracture features and weld imperfections. The re-sults showed that the critical sections of the support structure operated under stresses close to the yield limit, while impact loads and low-frequency oscillations significantly increased the risk of failure. Fractographic observations revealed lamellar tearing, low-cycle fatigue features and a heterogeneous weld structure containing cracks, inclusions and gas porosity. The fracture was therefore caused by the combined effect of excessive service loads, dynamic excitation, stress concentration and imperfec-tions in welded joints, which should be more comprehensively considered in the design and assessment of such structures. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23133 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23132 Title: Ultrasound-Assisted Processing of Aluminum Matrix Nanocomposites: Parameter Optimization for Enhanced Mechanical Properties Authors: Takele, Yesufikad; Woldeyohannes, Abraham Debebe; Milojević, Saša; Miladinovic, Slavica; Radojković, Mladen; Stojanovic, Blaza Editors: Calabrese, Luigi; PALAMARA, DAVIDE Abstract: This study investigates the enhancement of AA6082/Al2O3 aluminum metal matrix nanocomposites (AMMNCs) through powder metallurgy combined with systematic process optimization. Ultrasound-assisted dispersion and Taguchi design L9 orthogonal array were employed to improve nanoparticle distribution and optimize fabrication parameters. The effect of Al2O3 content and ultrasonication time (UT) on hardness and compressive strength was analyzed using S/N ratio and ANOVA. Characterization was performed using X-ray Diffraction (XRD) and scanning electron microscopy (SEM). The result shows that Al2O3 content had the most significant influence on both hardness (82.25%) and compressive strength (81.08%), followed by UT. The optimal condition produced a maximum hardness of 31.9 HV and compressive strength of 205.53 MPa. Regression models demonstrated strong predictive accuracy (R2 > 85%). Overall, the study highlights the effectiveness of parameter optimization in improving nanocomposite performance and provides valuable guidance for advanced material design. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23132 2026-01-01T00:00:00Z