School of Mechanical Engineering Seminar
Monday, June 26, 2023, at 14:00
Wolfson Building of Mechanical Engineering, Room 206

Invariant Echo-Localization Using Bat Pinnae (External Ear)

Zahi Cohen

M.Sc. Student of Prof. Yossi Yovel

School of Mechanical Engineering Seminar
Wednesday June 21.6.2023

Wolfson Building of Mechanical Engineering, Room 206

Multi-phase PHFGMC micromechanical models for C/C-SiC based Ceramic Matrix Composites

Chen Dahan Sharhabani

M.Sc. research under the supervision of Prof. Rami Haj-Ali Tel Aviv University, Department of Mechanical Engineering

New advanced carbon-based Ceramic Matrix Composites (CMCs) are a novel class of materials that overcome the oxidation encountered in C/C applications, including hypersonic systems. CMCs inhibit good mechanical properties (relative to C/C), favorable damage tolerance (Compared to ceramics), and relatively low density. This cluster of properties advances the use of CMCs in high-temperature aerospace, energy, and transport applications, where an oxidation environment is present. The properties of fiber-reinforced ceramics depend strongly on their microstructure and composition. In addition, CMC final thermomechanical properties depend strongly on fiber and ply architecture and the manufacturing parameters controlling the different thermal steps used during manufacturing.

An iterative material design development and manufacturing, followed by material characterizations and evaluations, can be cost-prohibitive and requires a longtime approach. This study advocates using predictive micromechanical models in CMC material design to reduce cost and design time cycle. Most micromechanical models consider the phases that inhibit the composite material and can perform average or equivalent properties over the volume of the phases. More advanced and refined micromodels recognize and account for several microstructural details, including dominant phases and their interface (or interphase) parameters. These refined models should be capable of nonlinear and damage predictions and can be readily used to study the effect of porosity (or voids) on elastic behavior. 

The current study introduces a refined micro-modeling framework that recognizes several material and microstructural details of the CMC material using the parametric high-fidelity generalized method of cells (PHFGMC). The PHFGMC can attain high-accuracy solutions for realistic physical problems of composite materials and allows the nonlinear thermomechanical solution for multiscale and multi-phase three-dimensional problems. 

 A two-level hierarchical framework based on the PHFGMC micromechanical model is implemented using CT-based C/C-SiC ceramic matrix composite scan geometries. Towards that goal, two nested PHFGMC micromechanical models are nested and integrated to represent the CMC micro and meso material levels.   The proposed framework enables a realistic depiction of the material structure and allows for calculating the effective orthotropic properties of a single lamina. The proposed modeling can be used to design a broad class of CMC materials with different weave architectures. Our PHFGMC prediction results were compared to mechanical properties conducted in collaboration with Rafael's advanced material lab for the tensile behavior of CMC specimens. The proposed PHFGMC framework demonstrated good prediction results.

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Hardware/Electrical Engineering Intern, 2023

Apply

Please complete your application before May 31st 2023. We encourage you to apply as early as possible as we review applications on a rolling basis.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

• 1. In the “Resume Section:” attach an updated CV or resume.
• 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
  • Under “Degree Status,” select “Now attending” to upload a transcript.

This internship is intended for students who can start in summer 2023, although the specific start date and duration is flexible. Participation in the internship programme requires that you are located in Israel for the duration of the internship programme.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.

Qualifications

Minimum qualifications:

• Currently pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering or a related technical field.
• Ability to speak and write in English fluently.

Preferred qualifications:

• Currently enrolled in a full time degree program.
• Internship work, work experience, or personal project experience in Hardware or Electrical Engineering.
•  Experience writing code in one or more languages (e.g., C, C++, or Python).

About the job

As an Electrical Engineering Intern in the domain of VLSI (Very Large-Scale Integration) you will work on designing, developing and verifying next generation chips for Google’s Cloud Compute Infrastructure. You will have the opportunity to collaborate with engineers from various parts of the org to help develop Google’s next generation SOC (systems on chip).

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Responsibilities vary based on specific teams.

ההרשמה לתכנית התמחויות של גוגל ישראל נפתחה ותסתיים ב31.05!

התכנית מיועדת לסטודנטים.ות להנדסת חשמל ותוכנה בלבד.

כדי להיות זכאים.ות להגיש מועמדות, על המועמדים.ות:

1. ללמוד השנה לתואר ראשון בהנדסת חשמל ותוכנה. 
2. יכולת דיבור וכתיבה באנגלית באופן שוטף.

כישורים חשובים נוספים:

1. רשומים.ות כעת לתכנית לתואר במשרה מלאה.
2. עבודת התמחות, ניסיון בעבודה או ניסיון אישי בפרויקט בהנדסת חומרה או חשמל.
3.   ניסיון בכתיבת קוד בשפה אחת או יותר (למשל, C, C++ או Python).

כמתמחה בהנדסת חשמל בתחום VLSI (Very Large-Scale Integration) תעסקו בתכנון, פיתוח ואימות שבבים מהדור הבא עבור תשתית מחשוב הענן של גוגל. תהיה לכם.ן הזדמנות לשתף פעולה עם מהנדסים.ות מחלקים שונים של הארגון כדי לעזור בפיתוח הדור הבא של Google SOC (מערכות על שבב).

להרשמה

בהצלחה!

School of Mechanical Engineering Seminar
Monday 12.06.2023 at 14:00

Wolfson Building of Mechanical Engineering, Room 206

"The geometry of decision-making in collectives and individuals"

Nir Gov

Phd in theoretical physics at the Technion

Choosing among spatially distributed options is a central challenge for animals, from deciding among alternative potential food sources or refuges to choosing with whom to associate. We present a spin-based model that describes the decision-making process while the animal is moving through space and assessing the different options. Using an integrated theoretical and experimental approach (employing immersive virtual reality), we test the predicted interplay between movement and vectorial integration during decision-making regarding two, or more, options in space.  The theoretical model reveals the occurrence of spontaneous and abrupt “critical” transitions, whereby organisms spontaneously switch from averaging vectorial information to suddenly excluding one among, the remaining options. Experiments with fruit flies, desert locusts, and larval zebrafish reveal that they exhibit these same bifurcations, demonstrating that across taxa there exist fundamental geometric principles that determine how, and why, animals move the way they do.

Short bio:

Phd in theoretical physics at the Technion (low-temperature quantum mechanics) 1998

Postdoc at the U of Illinois Urbana-Champaign, QM

Postdoc in Weizmann, Bio-phys.

PI in weizmann since 2004

My research team and I have been developing theoretical models for various phenomena in biology that involve many interacting units, from the collective migration of cells within a body to collective motion of animals within a group. In addition we study the dynamics of cell shapes, cell migration and general non-equilibrium physics.

Join Zoom Meeting https://tau-ac-il.zoom.us/j/86497933118