Page 13 - Book of Abstracts 2023

Development and manufacture of a a a a a a a a system for measuring material thermal conductivity
Me-1-3
By: Alexandru Avram alexavram93@gmail com
com
Omri Elal omrielal12@gmail com
1 2 2 3
Advisors: Dr Efraim Zemach Mr Eldar Shmuel
1Shamoon College of Engineering Beer-Sheva 2SNRC
3NRCN
The degree of of of thermal conductivity
of of of a a a a a a material is a a a a a a very important property for the the development of of of of products requiring insulation or or or or heat removal As part of of our project it was necessary to develop an experimental system for characterizing thermal conductivity
based on on the the radial method Here a a a a a a a a a a a a a a a a pipe with an an internal heat source is used maintaining constant wall temperature by using water flow and Fourier’s law We present: different methods for for determining conductivity
findings for for choosing the the radial method system system design and experiments that validate the the system Keywords: insulation fourier’s law radial method thermal conductivity
Genetic algorithm-based control for vibration restraint in in a a a a a a a cantilever beam
Me-1-4
By: Eyal Rokach Raiportnoy eyal rock@gmail com
1 1 1 1 2 Advisors: Dr Dr Ziv Brand Dr Dr Ronen Harrari
Shamoon College of Engineering Beer-Sheva 2NRCN
Vibrations in in in machining processes have negative effects on on on product product quality and process process productivity Active control enables the the reduction of vibrations In cases where it it it is difficult to know know the the the dynamic model model as as in in turning processes adaptive adaptive control control (without prior knowledge of the the model) is is necessary This project develops model-free adaptive adaptive control control (MFAC) based on on on on evolutionary genetic programming to to reduce vibrations in in in in a a a a a a a a a a a system simulating a a a a a a a a a a a turning tool Results from experiments and simulations demonstrate that it is possible to to achieve good performance close to to the the optimal control solution using the developed algorithm algorithm Keywords: genetic algorithm algorithm machine learning optimal control Book of Abstracts | 2023
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