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Development of a Reliable Mechanical Coupling for an Autonomous Cart Transport Robot
ME-C-23
Nahar Vanunu; naharv10@gmail.com Gon Jacobi; gonjacobi@gmail.com
Advisor: Dr. Etan Fisher
SCE - Shamoon College of Engineering, Be’er-Sheva
The goal of this project, in collaboration with Soroka/University Medical Center, is to improve the transportation of sterile surgical equipment carts. Previous projects developed a transport robot, but its mechanical coupling to the cart lacked stability and reliability.
Our goal is to design a robust mechanical connection addressing the existing prototype’s challenges. A clamp-based mechanism was selected to grip a structural profile at the cart’s base.
Mechanical analyses and tests will evaluate the concept’s durability under expected loads. A successful solution will enhance transport reliability, improve medical staff efficiency, and optimize operating room logistics.
Keywords: autonomous transport robot, clamp mechanism, hospital logistics, mechanical coupling, sterile equipment cart
Detection of Cracks in Metals Using Acoustic Emission Data Analysis
ME-C-24
Yitzhak Kones; yitzhakones@gmail.com Tzuriel Alkeslasi; tzurielkaslasi890@gmail.com
Advisors: Dr. Etan Fisher1, Ms. Nurit Gofman2 1SCE - Shamoon College of Engineering, Be’er-Sheva 2Air Force Technical College, Be’er-Sheva
Ensuring structural integrity is crucial in industries that rely on metal components. This study presents a method for detecting cracks in metals using ‘acoustic emission’ (AE) sensors that capture stress waves generated by crack initiation and propagation. The collected data undergoes processing, including filtering, feature extraction, and classification to identify structural defects. Advanced analysis techniques enhance detection accuracy, support predictive maintenance and reduce failure risks. This approach improves the reliability of metal structures while offering a cost-effective monitoring solution. Our findings contribute to the development of advanced structural health monitoring (SHM) systems, optimizing maintenance strategies in engineering and industrial applications.
Keywords: acoustic emission, crack detection, feature extraction, mechanical integrity, metal fatigue, predictive maintenance, signal processing, structural monitoring