Vesna Drakulović

Mrs. Vesna Drakulović


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
7 December 2025 in Machines
Verified
Journal Article
Open access
PDF file
BNBorivoj Novakovic
Borivoj Novakovic
Mića ĐurđevMića Đurđev
Mića Đurđev
Luka DjordjevićLuka Djordjević
Luka Djordjević
VDVesna Drakulović
Vesna Drakulović
Ljiljana RadovanovicLjiljana Radovanovic
Ljiljana Radovanovic
VPVelibor Premčevski
Velibor Premčevski
This paper presents a study that investigates the operational reliability of directional control valves used in hydraulic press systems by applying the Taguchi method and regression analysis. The research focuses on key hydraulic parameters—kinematic viscosity, internal leakage, pressure, and temperature—to identify their influence on valve reliability. Three valves (DCV1–DCV3) were tested under identical conditions using an L8 orthogonal array to optimize the experimental design while maintaining statistical validity. The Taguchi analysis revealed that internal leakage is the dominant factor affecting valve reliability, consistently confirmed across all statistical evaluations, including signal-to-noise (S/N) ratios and ANOVA results. Regression models were developed for each valve to quantify the effect of each factor and showed excellent predictive accuracy (R2 > 98%). The study concludes that minimizing internal leakage, maintaining lower temperatures, and applying higher operating pressures significantly enhance valve reliability, while viscosity had negligible effect within the tested range. Valve DCV2 demonstrated the highest predicted reliability. These findings offer valuable insights for the optimization of hydraulic valve design and maintenance strategies, contributing to the improved performance and longevity of industrial hydraulic systems.

1 January 2024
Verified
Conference Paper
Closed access
VDVesna Drakulović
Vesna Drakulović
VMVisnja Mihajlovic
Visnja Mihajlovic
BVBogdana Vujić
Bogdana Vujić
MĐMića Đurđev
Mića Đurđev
MMMilan Markovic
Milan Markovic
This paper explores the integration of Circular Economy (CE) principles and Industrial Ecology (IE) practices as a means to enhance sustainability and resource efficiency across various industries. The circular economy shifts away from the traditional linear model of “take, make, dispose,” promoting a closed-loop approach that minimizes waste and prolongs the lifecycle of products through reuse, recycling, and remanufacturing. Industrial ecology, on the other hand, emphasizes industrial symbiosis, where waste or by-products from one process serve as inputs for another, mimicking natural ecosystems. The study employs a qualitative methodology, analysing secondary data from industries such as automotive, energy, and electronics, revealing how CE and IE practices lead to significant reductions in resource use, waste generation, and carbon emissions. Results show that industries adopting CE and IE principles achieve improved efficiency and environmental sustainability, with specific examples of resource savings and reductions in CO2 emissions. Despite challenges in implementation, this research highlights the potential of CE and IE to foster innovation, economic growth, and environmental resilience. The paper concludes by stressing the importance of collaboration between governments, businesses, and academia to advance these concepts and address the environmental challenges of the 21st century.

1 January 2024
Verified
Conference Paper
Closed access
NNNatalija Nikolić
Natalija Nikolić
JČJovana Čugalj
Jovana Čugalj
VDVesna Drakulović
Vesna Drakulović
This paper represents a review of papers that analyze forest fires in Serbia via GIS and remote sensing data. Forest fires are a hazard that could threat to the environment, and especially protected areas. GIS has great possibilities for analyzing spatial data, such as satellite images obtained by remote sensing methods. By using different data, it is possible to get more information about the extent of damage caused by forest fires, but also data about which areas are more threatened by forest fires than others. This shows the importance of GIS in forest fire analysis and that research on this topic should be continued.