Page 151 - tech fest 2025 ב״ש חוברת תקצירים

The goal of this project is to integrate the ‘Gurson-Tvergaard-Needleman’ (GTN) model with a ‘particle swarm optimization’ (PSO) algorithm to identify key material parameters, specifically 𝑞𝑞 and 𝑞𝑞 , which
govern void behavior in compacted materials. As a proof of concept, the methodology will first be applied to a well-defined material with known mechanical properties and a nonlinear stress-strain response. This stage is meant to validate the effectiveness of the PSO algorithm in accurately retrieving known parameters. Following successful validation, this approach will be applied to compacted powder materials, involving more complex equations. The goal of this process is to enhance the efficiency and reliability of GTN parameter identification. Ultimately, identifying these parameters is crucial for determining material properties.
Keywords: compacted materials, GTN model, material parameters, PSO algorithm, void behavior
3D Printing of Springs Using SLS Technology: Mechanical Behavior and Performance Analysis ME-E-50
Asaf Kaduri; asafka5@ac.sce.ac.il Gal Beladev; galbe6@ac.sce.ac.il
Advisors: Dr. Zuk N. Turbovich1, Dr. Yoav Y. Biton1 1SCE - Shamoon College of Engineering, Be’er-Sheva
The goal of this project is to produce springs using 3D printing technology, specifically ‘selective laser sintering’ (SLS), by utilizing design variables previously tested in earlier projects. Experiments, such as fatigue testing and compression testing, will be performed, focusing on the behavior of the spring during each of the three phases of its compression: initial loading, elastic deformation, and final recovery. Our primary objective is to demonstrate that functional springs can be produced using SLS, and to compare the results of SLS-printed springs to those previously produced using ‘fused deposit modeling’ (FDM) technology. This project assesses the possibility of achieving similar performance in SLS-printed springs using FDM technology and analyzes the mechanical behavior of springs produced by these two 3D printing methods.
Keywords: 3D printing, compression testing, fatigue testing, FDM, mechanical testing, SLS, springs
Book of Abstracts | 2025
Exploration of Parameters Using the Particle Swarm Optimization Method to Identify the Constants of a Continuum-Based Finite Element Model
ME-E-49
Assaf Katz; nr1asaf@gmail.com Eden Ben Horesh; edenbat@yahoo.com
Advisors: Dr. Nir Trabelsi1, Eng. Ariel Cohen2 1SCE - Shamoon College of Engineering, Be’er-Sheva 2NRCN - Nuclear Research Center Negev
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