School of Mechanical Engineering Adi Morani and Ben Cohen

31 באוקטובר 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering Adi Morani and Ben Cohen

 

 

School of Mechanical Engineering Seminar
Wednesday, October 31, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

Fluid-Structure Interaction using Coupled FE Structural Analysis with a Lattice Boltzmann Approach: Simulations of Aortic Valves and their Integration in a Full Heart Model

 

Adi Morany

M.Sc. student of Prof. Rami Haj-Ali and Prof. Shmuel Einav

 

The aortic valve (AV) is located between the left ventricle and the aorta. It is responsible for maintaining an outward unidirectional flow. An inherent abnormality associated with the AV is the bicuspid aortic valve (BAV) where two cusps are present instead of the normal three. Due to the anatomical abnormality (0.5-2% of the population), the cusps stresses and deformations are relatively high. This may lead to a calcific aortic valve disease (CAVD). The latter is a progressive disease characterized by calcification growth in the AV cusps leading to thickening and stiffening of the cusps' tissue. Many hemodynamic and structural aspects of the AV have been extensively studied, however, more sophisticated models are needed in order to better understand the AV bio-mechanical behavior.

The first part of this study introduces a new fluid-structure interaction (FSI) modeling approach using coupled FE structural analysis with a Lattice Boltzmann Method (LBM). The applied LBM is a mesh-less method based on the kinetic gas theory of particles used to simulate fluid flow. The combined FE-LBM FSI modeling approach is used to simulate both normal and BAV models. Towards that goal, three FSI models of AVs under physiological pressure are presented: TAV, BAV and moderate CAVD are studied. These models present, for the first time, a quantitative comparative study between FE-CFD (Navier-Stokes) and FE-LBM FSI-approaches, to flow simulations through compliant AVs. Different parameters have been examined, such as effective orifice area, hemodynamic metrics and stress magnitudes.

The second part of this study deals with integrating a new parametric AV structural model with the electro-mechanical Living Heart Human Model® (LHHM). The LHHM is a finite element robust and integrative model simulating human heart function capable of realistic electro-mechanical simulations. Different parametric geometries of AV configurations and associated pathologies have been examined. New integrated structural AV models within the LHHM better predict the local stresses during the cardiac cycle due to the realistic boundary condition derived from the LHHM.

 

A non-linear progressive damage numerical model for 2D woven composites 

Ben Cohen

 MSc. student of Prof. Rami Haj-Ali

 

Woven Carbon Fiber Reinforced Plastic (CFRP) composites are used in structural applications that demand superior strength to weight ratio such as in the aerospace, maritime and sporting industries. Woven composites advantage over unidirectional (UD) composites is due to their ease of draping which reduces the production cost.

 

In this study, a meso-mechanical non-linear progressive damage model is proposed for 2D woven composites. The model is based on an orthotropic material behavior in combination with the Ramberg-Osgood model to addresses material non-linearity in shear. The Tsai-Wu failure criterion is used to detect damage initiation in the laminate. A continuum damage degradation model is then used for stiffness update. The proposed model is implemented as a user material subroutine for 2D and shell elements in the ABAQUS commercial finite element program.

 

The experimental part of this study includes mechanical characterization experiments conducted according to the ASTM standards.  A Digital Image Correlation (DIC) method for strain field measurements is also employed.  The damage model is then compared to two cases: Four-point bending and an open hole tension experiments. A good correlation was demonstrated in both for stress-strain responses including ultimate failure prediction.

 

 

 

School of Mechanical Engineering Prof. Gal Shafirstein

06 ביוני 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering Prof. Gal Shafirstein

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, June 6, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

Finite Element Modeling Guided Laser Therapy ­ Improves Control of Locally Advanced Tumors

 

Prof. Gal Shafirstein

Professor of Oncology and full Member

Director of Photodynamic Therapy (PDT) Clinical Research

PDT Center at the Department of Cell Stress Biology

Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA

 

Patients with locally advanced cancerous tumors who failed to respond to standard treatment have very limited treatment options. Several studies suggest that interstitial photodynamic therapy (I-PDT) is a promising treatment modality to control locally advanced cancer. The administration of laser light in I-PDT requires careful treatment planning to maximize tumor ablation while minimizing damage to normal tissue. To that end, we developed a customized finite element modeling (FEM) approach to guide laser light administration in I-PDT.

In this talk, a brief overview of I-PDT will be given. The rationale for the use of FEM will be presented and discussed. This talk will review the modeling approach, validation and translation from the clinic to the laboratory and back to the clinic. Examples of the FEM use to evaluate the feasibility of treating locally advanced head and neck and non-small cell lung cancer will be shown. Pretreatment planning of bone tumors in preclinical settings will be presented. The FEM successful implementation to improve local control and cure of locally advanced squamous cell carcinoma in animal models will be discussed. A clinical study using the FEM to guide I-PDT in the treatment of patients with locally advanced head neck cancer will be presented.

About the Lecturer

Prof. Shafirstein earned his B.Sc. in the department of materials science at the Ben-Gurion University (1986), his M.Sc. (1988) and D.Sc. (1992) in the department of materials science and engineering at the Technion. He then moved to England to work at the United Kingdom National Physical Laboratory (1992-1995), and to Israel and USA to work in industry (1995-2001). He returned to academia in 2001, and joined the department of otolaryngology-head and neck surgery at the University of AR for Medical Sciences, where he was an associated Prof. and the director of translational research. In 2012, he was recruited as a full Prof. of Oncology and member at the photodynamic therapy (PDT) center of Roswell Park Comprehensive Cancer Center, Buffalo, NY. The PDT center at Roswell Park is a world leader in the field of PDT. It is where the modern PDT was initiated in 1970s', and the first FDA approved PDT drug for cancer therapy was developed. Prof. Shafirstein serves as the director of PDT clinical research since 2015. He is responsible for developing and supporting multiple clinical studies in PDT. His research is supported, primarily, with competitive awards from the National Cancer Institute at the National Institute of Health, USA. His research focuses on developing laser therapies for patients with cancer that have no good treatment options.

 

 

 

 

 

 

 

 

 

School of Mechanical Engineering Asaf Ben Neriah

27 ביוני 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering Asaf Ben Neriah

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, June 20, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

Groundwater remediation by air sparging: improving efficiency by inducing mixing

Asaf Ben Neriah

 PhD. student of Dr. Amir Paster

 

Groundwater contamination due to leakage, designated or accidental releases of volatile organic compounds is a major problem worldwide. Remediating the contaminated water is crucial for maintaining groundwater as a drinking source, and preventing the expansion of the contaminant plume into clean water.

Air sparging is a relatively simple and inexpensive remediation technique, commonly applied for removing volatile organic compounds from the water. Since the 1980s, air sparging was successfully used at sites where the contaminants are located at the upper part of the aquifer and the soil is relatively permeable (i.e., sandy soils).

Air sparging is commonly applied for long time periods. One important observation, seen in laboratory and field conditions, is that as the system approaches steady state, the remediation efficiency decreases. The decrease in efficiency was linked to the nearly stagnant conditions in the aquifer and very limited mixing, which characterize prolonged operation. This research was aimed at improving the remediation efficiency by utilizing the transient stages of air sparging, in which mixing is significant.

Using a 2D laboratory model and a numerical code (T2VOC, TOUGH2), several approaches for enhancing the groundwater remediation process were studied. These approaches include periodically changing the air injection rate, applying short duration- high pressure- pulses to the injection system, and establishing a methodology for estimating the optimal system characteristic time. Results from the current study highlight the significance of mixing to the remediation process, and the importance of planning an injection scheme which fits the specific characteristics of the remediated site. They also show that the optimal frequency of periodic injection can be approximated by the characteristic time of the relaxation of a large pressure perturbation in the aquifer..

School of Mechanical Engineering John E. Dolbow

17 באוקטובר 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering John E. Dolbow

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, October 17, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

Models and Simulations of the Surfactant-Driven

Fracture of Particle Rafts

 

John E. Dolbow

Professor of Civil and Environmental Engineering,

Mechanical Engineering and Materials Science,

and Mathematics

Duke University

 

When a densely packed monolayer of hydrophobic particles is placed on a uid surface

the particles interact through capillary bridges, leading to the formation of a particle raft or

\praft" for short. Densely packed monolayers exhibit a two-dimensional elastic response, and

they are capable of supporting both tension and compression. The introduction of a controlled

amount of surfactant generates a surface tension gradient, producing Marangoni forces and

causing the surfactant to spread, fracturing the monolayer. These systems are of interest to

materials scientists and engineers because they provide an idealized setting for investigating the

interplay between uid ow and fracture. Previous studies of the surfactant-induced fracture

of prafts have examined the role of viscosity and the initial packing fraction on the temporal

and spatial evolution of the fractures. The potentially important role of di_erences in surface

tension between the surfactant and the underlying uid has not been explored.

This seminar will describe a new continuum-based model and simulations that account for

the interplay between the pressure exerted by a spreading surfactant and the elastic response

of the praft, including the fracture resistance. This is e_ected through the use of a surfactant

damage _eld that serves as both an indicator function for the surfactant concentration, as well

as the damage to the monolayer. Stochastic aspects of the particle packing are incorporated into

the model through a continuum mapping approach. The model gives rise to a coupled system

of nonlinear partial di_erential equations, with an irreversibility constraint. We recast the

model in variational form and discretize the system with an adaptive _nite element method. A

comparison between model-based simulations and existing experimental observations indicates

a qualitative match in both the fracture patterns and temporal scaling of the fracture process.

Based on the model, we determine a dimensionless parameter that characterizes the ratio

between this driving force and the fracture resistance of the praft. Interestingly, while our

results indicate that the stochastic aspects of the packing are important to the fracture process,

we _nd that regimes of fracture are largely governed by di_erences in surface tension. Finally,

we support our _ndings with newly designed experiments that validate the model and con_rm

the trends inferred from the simulations.

 

 

 

 

 

School of Mechanical Engineering Semion Greiserman

24 באוקטובר 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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 School of Mechanical Engineering Semion Greiserman

 

 

 

 

School of Mechanical Engineering Seminar
Wednesday, October 24, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

 Solar hydrothermal deconstruction of green macroalgae biomass for biofuel production

 

Semion Greiserman

MSc. Student of Dr. Alex Golberg and Prof. Avi Kribus

 

Biomass deconstruction to fermentable sugars is a major challenge for biorefineries. Traditional methods either employ acid or enzymatic hydrolysis, which are expensive and could damage the environment. Thermal hydrolysis is a green technology for biomass deconstruction, carbonization, liquefaction, and gasification.  However, subcritical hydrolysis generates a wide range of products from a heterogeneous raw material such as biomass. In this work, Taguchi orthogonal arrays was used for the experimental design and investigation of comparative significance of subcritical water process’s temperature, treatment time, solid load and salinity on glucose, xylose, rhamnose, fructose and galactose release from green macroalgae an emerging biorefinery feedstock. We also investigated the impact of the process parameters on the production of 5-hydroxymethylfurfural (5-HMF), an important biofuel intermediate, which, however, is a major fermentation inhibitor. The optimum process parameters for maximum release of each monosaccharide and minimum production of 5-HMF was determined. The solid residue (hydrochar) heating value and chemical composition were also determined. Using the results from the experiments a simplified simulation of combined solar electricity generation and fuel (ethanol) production plant was analyzed and will be presented.

 

 

 

 

 

 

 

 

School of Mechanical Engineering Prof. John Dolbow

17 באוקטובר 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering Prof. John Dolbow

והכרזת 6 הזוכים בקול קורא

21 מאי 2018
חנוכת מכון שמלצר לתחבורה חכמה
בתמונה (מימין לשמאל): אסי שמלצר, עתליה שמלצר ופרופ' קלפטר

מכון שלמה שמלצר לתחבורה חכמה מהווה מוקד רב-תחומי המאגד חוקרים באוניברסיטת תל אביב בתחומי בינה מלאכותית ומדעי הנתונים, חקר ביצועים וניתוח גורמי אנוש. מטרת המכון היא לקדם מחקר יישומי ולעודד שיתופי פעולה, שייתרמו לכלכלה ולחברה בישראל. המכון יקיים כנסים וסדנאות, יממן מחקר מתקדם, יפרסם ניירות עמדה, יספק תשתיות מחקר ויצור פלטפורמות למפגש והעברת ידע בין האקדמיה לסקטור העסקי והציבורי בזירת התחבורה החכמה, בארץ ובעולם.

המכון נחנך ב- 4/5/2018 במסגרת אירועי חבר הנאמנים של האוניברסיטה,  בהשתתפות משפחת שמלצר, נשיא האוניברסיטה - פרופ' יוסי קלפטר, רקטור האוניברסיטה - פרופ' ירון עוז סגן נשיא לקשרי חוץ - אלעד עמוד, דיקאן הפקולטה להנדסה - פרופ' יוסי רוזנוקס ראש מכון שמלצר - ד"ר טל רביב, חברי הנהלת המכון – פרופ' מיכל צור ופרופ' עירד בן גל, מנהלת מכון שמלצר - ד"ר עלית אופנהיים, מנכ"לית אגודת הידידים - הגב' סיגל אדר, סמנכ"לית אגודת הידידים - עו"ד עדי אולמרט ואורחים נוספים. 

 

המכון פרסם קול קורא ראשון בו זכו 6 תלמידי מחקר ממחלקות שונות באוניברסיטת תל אביב. המחקרים הזוכים הוכרזו במסגרת טקס חנוכת המכון, והם עוסקים בסוגיות הבאות:

  • מודל חדירה של כלי רכב חשמליים לשוק. ההשפעה של מדיניות הממשלות והתקדמות הטכנולוגיה על התפוצה של טכנולוגית הנעה זו. (גיל ברנע, בית הספר למדיניות ציבורית דוקטורנט בהנחיית  פרופ' איתי סנד)
  • הקמת מעבדה לחקר אלגוריתמים בתחום הנהיגה האוטונומית. המעבדה תשמש כתשתית למחקר והוראה בפקולטה להנדסה. (איל וייס מבית הספר להנדסת חשמל, דוקטורנט בהנחית פרופ' מיכאל מרגליות)
  • תכנון מיטיבי של התקנת חיישניים במערכות מורכבות, בפרט בכלי רכב ובערים חכמות. (יפעת פינקוביץ מהמחלקה להנדסת תעשייה, דוקטורנטית בהנחייתם של פרופ' עירד בן גל וד"ר טל רביב).
  • פיתוח לוגיקה רכה עבור רכבים אוטונומיים. (משה קליין מהמחלקה להנדסת תעשייה, דוקטורנט בהנחיה של פרופ' עודד מימון)
  • פיתוח אלגוריתמים להפקת מידע בצורה מדויקת ויעילה מסיבים אופטיים הטמונים בקרקע, לטובת שימושים בתחום התחבורה החכמה. (ליהי שילה מבית הספר להנדסת חשמל, דוקטורנטית בהנחייתם של פרופ' אבישי אייל וד"ר רג'א ג'יריס).
  • פיתוח מסגרת למידול תהליכי פיתוח של מערכות מורכבות בכלל ובתחום התחבורה בפרט. (אבי שקד מהמחלקה להנדסה מכנית, דוקטורנט בהנחיית פרופ' יורם רייך).

School of Mechanical Engineering Roee Yuval Spin and Omri Yannay

28 במאי 2018, 14:00 - 15:00 
בניין וולפסון חדר 206  
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School of Mechanical Engineering  Roee Yuval Spin and Omri Yannay

 

 

School of Mechanical Engineering Seminar
Monday, May 28, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

Ceramic Matrix Composites (CMCs): Manufacturing and Microstructural Effects on the Mechanical Properties using the Parametric HFGMC

 

Omri Yannay

 M.Sc. student of Prof. Rami Haj-Ali

 

Advanced Carbon-based Ceramic Matrix Composites (CMCs) are important in today's aviation industry because of their unique properties - can withstand high temperature and severe erosion conditions, while maintaining the composites strength at relatively lower weight.

However, these unique properties depend on the microstructure of the formed material through the CMC's production process. The use of refined micromechanical methods, such as the parametric High Fidelity Method of Cells (HFGMC) is crucial in order predict the overall thermos-mechanical properties and how they are related to the optimal ratio of the phases, towards improving the desired and objective properties. Furthermore, applying this new micro-scale analysis can save time and money by replacing the experiments on such expensive material system.  It can even generate added values that one cannot extrapolate in standard experimental approach such as predicting the overall anisotropic mechanical properties, and the stress states at the micro scales. It should be noted that all inputs for the proposed micromechanical simulations can be easily obtained by using basic physical measurements combined with data in the open literature, such as material's microstructure and phase's properties.

This research presents a new framework for prediction the overall thermo-mechanical properties of CMCs using the parametric HFGMC starting from the manufacturing process of CMCs by Liquid Silicon Infiltration (LSI) method. For each production stage, a Repeated Unit Cell (RUC) model is applied in order to achieve more reliable results at each production level.  The proposed micromodels are nested in a multi scale analysis in order to generate the overall effective properties of the CMC.  Finally, the effects of material microstructural features on the overall elastic properties are investigated, reported and discussed.

 

Micro-mechanics based Progressive Fatigue Damage models of laminated composites

Royi Yuval Safin

MSc Student of Prof. Rami Haj-Ali

The increased demand on new advanced composites in the aerospace, automotive, civil and military applications necessitates predictive fatigue failure models of composite materials and structures at different loadings. While the mechanical behavior under fatigue loading of metallic materials is well established, this is not the case for composites. Fatigue in composite materials is associated with several interacting damage mode systems, often leading to a sudden brittle failure.

Predictive fatigue damage models in composite materials are also challenging due to the complex failure mechanisms under static and fatigue loading and because of the anisotropic elastic and strength properties.  However, a good model have the potential to reduce the large experimental effort needed to test for different composite material systems and their constituents, such as fibers, matrices, lamination stacking sequences etc. In addition, fatigue experiments are expensive as a single coupon may need to be tested for up to several weeks.

In this study, two micromechanical methods are proposed for the fatigue failure prediction of unidirectional and laminated composites  under general loading with minimal dependence on empirical parameters. Both of the methods are based on using the generalized method of cells (GMC) micromechanical model. The first approach is based on fatigue micro-failure criteria, which are applied separately to the fiber and matrix regions, while the second approach is based on a damage law evolution for isotropic materials that applied only to the matrix.

The use of micromechanics allows the study of damage at both the micro and macroscales that explicitly recognize the fiber and matrix constituents. The proposed GMC-Fatigue constitutive equations enable a

multi-scale fatigue analysis of

laminated composite structures.  To that end, a new multi-scale fatigue module is implemented in the Abaqus FE code for the fatigue analysis of plates with an open hole.  Life predictions are demonstrated along with the possibility for residual strength analysis, see Fig.1.  Good prediction ability is demonstrated and compared to published test data in the literature.

 

 
 

 

 

 

תיבת טקסט: GMC 
Micromechanics

 

 

  

 

 

 

 

 

 

Figure 1:  Schematic illustration a micromechanical repeating unit-cell GMC model (top row) coupled with fatigue analysis of laminated composite materials and structures

 

עמודים

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