Page 134 - tech fest 2025 ב״ש חוברת תקצירים

134
Analysis and Identification of Dynamic Parameters of Systems by Artificial Neural Networks
ME-B-15
Daniel Milman; milmandaniel5@gmail.com Daniel Elin; danny390390@gmail.com
Advisors: Dr. Ziv Brand1, Eng. Eyal Rockah1
1SCE - Shamoon College of Engineering, Be’er-Sheva
This project studied neural network-based methods for identifying dynamic parameters in mechanical systems. Traditional techniques, such as modal analysis, may be limited when addressing complex or non-linear systems. Our study explores the use of machine learning algorithms, including normal equations, gradient descent, and neural networks for processing large datasets and generating predictions of system dynamics. Emphasis is placed on the development of computational tools for dynamic parameter estimation, experimental testing and validation, and comparative analysis with classical modal analysis techniques. This study contributes broader understanding of data-driven approaches supporting mechanical system diagnostics and parameter identification.
Keywords: data-driven modeling, dynamic parameter identification, experimental validation, machine learning, modal analysis, neural networks, nonlinear dynamics, parameter estimation, system diagnostics, system identification
Open Spaces’ Cooling System
ME-B-16
Edo Kabalo; edoka@ac.sce.ac.il Haim Blaichman; haimbl@ac.sce.ac.il
Advisors: Dr. Izhak Ladizhensky1, Ms. Nataliya Dvoskin1 1SCE - Shamoon College of Engineering, Be’er-Sheva
Cooling open structures, like markets and agricultural areas, is a major challenge in hot climates, requiring energy- and water-efficient solutions. This project presents the development of an innovative and cost-effective evaporative cooling system for reducing ambient temperatures by 5– 8°C. Our system uses hydrogel layers for water storage and evaporation within an insulated cooling duct. It combines theoretical research, simulations, and prototype construction. Initial lab tests showed promising cooling performance and significantly lower resource use, compared to conventional solutions. This novel system is a sustainable alternative for cooling open environments, with applications in agriculture, public spaces, and developing regions, and addresses climate-related challenges while conserving critical resources.
Keywords: energy efficiency, evaporative cooling, hydrogel, open structures, thermal comfort