Department of Mechanical Engineering
http://www.egr.msu.edu/me
enDiverse roles of glycosaminoglycans in arterial wall mechanics and mechanobiology - Sara Roccabianca Ph.D Postdoctoral Fellow at Yale University Department of Biomedical Engineering Yale University
http://www.egr.msu.edu/me/events/diverse-roles-glycosaminoglycans-arterial-wall-mechanics-and-mechanobiology-sara-roccabianca
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-04-17T10:30:00-04:00">Apr 17, 2014 - 10:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3540 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big>The medial layer of large arteries contains aggregates of the glycosaminoglycan hyaluronan (GAG) and the proteoglycan versican (PG). It is increasingly thought that these aggregates play important mechanical and mechanobiological roles despite constituting only a small fraction of the normal arterial wall. In my work, I offer a new hypothesis that normal aggregates of hyaluronan and versican pressurize the intralamellar spaces and thereby put into tension the radial elastic fibers that connect to the smooth muscle cells, which facilitates mechanosensing. This hypothesis is supported by novel computational simulations using two complementary models. I employed both a mixture-based finite element model to examine gross mechanical consequences of transmural differences in GAG-associated fixed charge density in the arterial wall and a semi-analytical continuum model to examine phenomenologically the biomechanical consequences of the resulting transmural differences in intralamellar swelling. Finally, I suggest the potential importance of the present findings to Marfan Syndrome and related diseases of the thoracic aorta. This connective tissue disorder results from mutations in the gene coding fibrillin-1, that is a primary glycoprotein which plays multiple roles, of which the most important to this work is that it appears to be the main intralamellar elastic fiber that connects smooth muscle cells to the elastic laminae. Although the loss of all its functions of microfibrils probably contributes to aortic dilatation and dissection in Marfan Syndrome, our findings suggest that also the increased TGF-β activity play an important role in promoting the characteristic increased accumulation of GAGs/PGs within the ascending aorta that could nucleate a delamination that might lead to dissection of the wall.</big> </p>
</div></div></div>Wed, 16 Apr 2014 19:38:57 +0000gunn2945 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/diverse-roles-glycosaminoglycans-arterial-wall-mechanics-and-mechanobiology-sara-roccabianca#commentsMaking the most of our resources Dr. H Alicia Kim University of Bath United Kingdom
http://www.egr.msu.edu/me/events/making-most-our-resources-dr-h-alicia-kim-university-bath-united-kingdom
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-04-15T22:30:00-04:00">Apr 15, 2014 - 10:30 pm</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3540 Engineering</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p>The use of design optimisation in today’s engineering is ubiquitous. Of all the design optimisation methods, topology optimisation is considered to offer the most significant benefits, being the least dependent on the initial solution thus, finding the most creative solution. As topology optimisation in engineering industry is reporting 20-60% weight savings, it is noted that the state of the art development is focused on deterministic problems where the design environment such as the loading conditions are well-defined. There has been active research in robust optimisation where uncertainties in design environment are taken into account in obtaining the optimum solution. However, these methods are subject to the curse of dimensionality, hence not applicable to topology optimisation. My research has shown that robust topology optimisation can be solved efficiently and is not subject to the curse of dimensionality for uncertainties that are described by the first and second statistical moments. The seminar will present that robust topology optimisation can be solved in polynomial time with the number of uncertainties. Challenges in computational mechanics and optimisation have been the common theme in my research which can be summarised in three areas: (1) multidisciplinary design optimisation (2) porous materials (3) broadband energy harvesting. The seminar will give a brief overview of my current activities and will discuss the future research directions.</p>
</div></div></div>Wed, 09 Apr 2014 17:28:35 +0000gunn2944 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/making-most-our-resources-dr-h-alicia-kim-university-bath-united-kingdom#commentsA rational approach to modeling turbulence in industrial flows Professor Branislav Basara AVL List GmbH, Hans List Platz 1, 8020 Graz, Austria
http://www.egr.msu.edu/me/events/rational-approach-modeling-turbulence-industrial-flows-professor-branislav-basara-avl-list
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-04-08T23:00:00-04:00">Apr 08, 2014 - 11:00 pm</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3540 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big><strong>A </strong><strong>rational approach to modeling turbulence in industrial flows</strong></big></p>
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<p><big><big><strong>Professor Branislav Basara</strong><br />AVL List GmbH, Hans List Platz 1, 8020 Graz, Austria </big></big></p>
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<p>Ideas about a turbulence closure method which can be used at all levels of scale resolution have been intensively pursued in the last two decades. From the beginning, such ‘smart’ models, which should provide the optimum solution on any computational mesh, have been very attrac-tive to Computational Fluid Dynamics (CFD) users, especially to those involved in simulations of complex industrial flows. In general, variable resolution methods can be divided into two groups, bridging (seamless) and zonal methods. The bridging methods are aimed at providing the best possible physical fidelity on any given numerical grid, while varying seamlessly be-tween Reynolds averaged Navier-Stokes (RANS) model and Direct Numerical Simulations (DNS). These methods employ the basic model in the entire domain. Contrary to seamless methods, zonal methods divide a solution domain into two modeling regions: the RANS turbu-lence model near the wall and the Large Eddy Simulation (LES) in the rest of the flow domain. An important drawback of zonal methods is a definition of the interface between different modeling zones, especially for complex flows. In recent years, the bridging methods have be-come very popular for simulations of complex turbulent flows. Probably, the most attractive bridging method is the Partially-Averaged Navier-Stokes (PANS). This method, which sup-ports any filter width or scale resolution, is derived from the RANS model equations. It inevi-tably improves results when compared with its corresponding RANS model if more scales of motions are resolved. The PANS model is used in the industry more than other seamless meth-ods due to its simplicity, robustness and recent theoretical extensions as well as due to the de-tailed validations on the number of complex cases presented in many publications. The PANS variant derived from the four equation near-wall eddy viscosity transport model, namely k-ε-ζ-f turbulence model will be presented. As this model represents a practical and accurate RANS choice for a wide range of industrial applications, especially when used in conjunction with the universal wall approach, its PANS variant therefore guarantees that the proper near-wall model is used for higher values of the resolution parameter. Different approaches including most re-cent ones for calculations the unresolved-to-total kinetic energy ratio, which is used as the reso-lution parameter, will be shown. In the practice, it is allowed that the unresolved-to-total kinetic energy ratio varies in space and time for the most efficient use of the numerical grid. A variety of test cases, from simple flow benchmarks to complex industrial cases will be presented.</p>
<p><strong>Biography:</strong></p>
<p><strong>Prof. Branislav Basara </strong>received his PhD degree from the City University of London in 1993. Since 1995 he has been working for AVL-List GmbH, in Graz Austria, where he is currently holding the posi-tion of Chief CFD Developer for the development of the commercial CFD code AVL Fire. He received Privatdozent title from Technical University Graz for the field of fluid mechanics. Presently, he is visit-ing professor at the Division of Fluid Dynamics, Chalmers University of Technology, Gothenburg, Swe-den. His interest has been in the development of computational methods and turbulence models for in-dustrial flows, with focus on vehicle aerodynamics and engine flows and transport phenomena.</p>
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</div></div></div>Thu, 03 Apr 2014 21:39:30 +0000gunn2943 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/rational-approach-modeling-turbulence-industrial-flows-professor-branislav-basara-avl-list#commentsExtending the bounds of “steady” RANS closures: resolving turbulence unsteadiness by a Reynolds stress model Professor Suad Jakirlic Institute of Fluid Mechanics and Aerodynamics / Center of Smart Interfaces Technische Universität Darmstadt, Germany
http://www.egr.msu.edu/me/events/extending-bounds-%E2%80%9Csteady%E2%80%9D-rans-closures-resolving-turbulence-unsteadiness-reynolds-stress
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-04-08T22:30:00-04:00">Apr 08, 2014 - 10:30 pm</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3540 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><strong>Mechanical Engineering Seminar</strong></p>
<p><strong>Tuesday, April 8 , 2014</strong></p>
<p><strong>10:30 a.m., 3540 Engineering Building</strong></p>
<p><em>Refreshments Served at 10:15 a.m.</em></p>
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<p><big><strong>This seminar will have two presentations in sequence of each other. Each presentation will be approximately</strong><strong> 30 minutes.</strong></big><br /> </p>
<div><strong>Extending the bounds of “steady” RANS closures:<br />resolving turbulence unsteadiness by a Reynolds stress model</strong><br /><br /><strong>Professor Suad Jakirlic</strong><br />Institute of Fluid Mechanics and Aerodynamics / Center of Smart Interfaces<br />Technische Universität Darmstadt, Germany<br /><br />
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<p>All turbulent flows are unsteady by nature. Even if the mean flow can be regarded as steady (and e.g. two-dimensional) the turbulence is always unsteady (and three dimensional). In some simple attached flows, the mean flow and corresponding turbulence structure can be correctly captured by using conventional models employed in (steady/unsteady) RANS (Reynolds-Averaged Navier Stokes) framework. However, in configurations featured by flow separated from curved continuous walls (characterized by intermittent separation region) the fluctuating turbulence associated with the separated shear layer has to be appropriately resolved in order to capture even the mean flow properties. The latter is valid also for flows through/over some sharp-edged obstacles, such as orifices, fences, ribs etc. - the only exception here is the back-ward-facing step flow with a (mostly) zero-pressure-gradient boundary layer separating at the step edge. Accordingly, an instability-sensitive, eddy-resolving model based on a differential, near-wall Reynolds stress model of turbulence (Jakirlic and Hanjalic, JFM, 2002, 439: 139-166; Jakirlic and Jovanovic, JFM, 2010, 656: 530-539) is formulated and applied to several attached and separated wall-bounded configurations – channel and duct flows, external and internal flows separated from sharp-edged and continuous curved surfaces. In all cases considered the fluctuating velocity field was obtained started from the steady RANS results. The model proposed does not comprise any parameter depending explicitly on the grid spacing. An additional term in the corresponding length-scale determining equation providing a selective assessment of its production, modelled in terms of the von Karman length scale (comprising the ratio of the first to the second derivative of the velocity field) in line with the SAS (Scale-Adaptive Simulation) proposal (Menter and Egorov, FTaC, 2010, 85:113-138), represents here the key parameter.<br /> </p>
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<p><strong>Biography:</strong></p>
<p><big><big><small><small><big><small>Prof. Suad Jakirlic received his PhD degree from the University of Erlangen/Nuremberg, Germany, in March, 1997. Since 1997 he has been heading the group for Modelling and Simulation of Turbulent Flows at the Chair of Fluid Mechanics and Aerodynamics, Technical University in Darmstadt, Germany. He is Editor-in-Chief of the Int. Journal of Heat and Fluid Flow (Elsevier Science Publisher) and Coordinator of the ERCOFTAC (European Research Community On Flow, Turbulence And Combustion) Special Interest Group on Refined Turbulence Modelling. He is furthermore the Organizing Committee Secretary of the Conference Series on Turbulence, Heat and Mass Transfer (THMT). His field of interest is the Computational Fluid Dynamics focussing on the RANS (with special focus on the near-wall second-moment closure models) and hybrid LES/RANS modelling of turbulent single and two-phase flows and heat transfer.</small></big></small></small></big></big></p>
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</div></div></div>Thu, 03 Apr 2014 21:38:00 +0000gunn2942 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/extending-bounds-%E2%80%9Csteady%E2%80%9D-rans-closures-resolving-turbulence-unsteadiness-reynolds-stress#commentsINSTABILITIES IN REACTIVE AND NON-REACTIVE FLOWFIELDS: FUNDAMENTAL ISSUES UNDERLYING FUTURE ENERGY AND PROPULSION SYSTEMS Professor Ann R. Karagozian Mechanical & Aerospace Engineering Department UCLA
http://www.egr.msu.edu/me/events/instabilities-reactive-and-non-reactive-flowfields-fundamental-issues-underlying-future
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-04-01T10:30:00-04:00">Apr 01, 2014 - 10:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3450 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <div>There is a remarkable range of physical phenomena that are foundational to the successful development of efficient, robust energy and propulsion systems. Understanding and potentially controlling such fundamental phenomena can have a profound benefit for these types of engineering systems. This talk will describe research at UCLA on flow and combustion instabilities and their control, in the spirit of this fundamental approach. Focus will be placed on acoustically-coupled combustion processes associated with condensed-phase fuels, as well as the gaseous jet in crossflow, including its shear layer stability characteristics and their control. Interrogation of these rather disparate yet canonical engineering flowfields involves use of experimental diagnostics that reveal heretofore unexplained phenomena. In the problem of an acoustically-driven, burning liquid fuel droplet, phase-locked OH* chemiluminescence imaging reveals a mean (bulk) level of coupling as well as a dynamical coupling between acoustics and reactive processes that have implications for combustion instabilities in a range of propulsion devices. For the jet in crossflow, exploration of shear layer instabilities via acetone PLIF, stereo PIV, and hot wire anemometry enable the determination of flow conditions causing a transition from convective to absolute instability, with attendant alterations in jet structure and the implications for control of energy-efficient devices<small>. </small></div>
<p><strong>Biography:</strong><br /><big><big><small><small><big><strong>Ann Karagozian </strong>has been a Professor in the Department of Mechanical and Aerospace Engineering at UCLA since 1982. Her research interests lie in fluid mechanics and combustion as applied to improved engine efficiency, reduced emissions, alternative fuels, and advanced air breathing and rocket propulsion systems. Professor Karagozian is a Past Chair of the American Physical Society/Division of Fluid Dynamics as well as a Past Chair of the UCLA Academic Senate. She was a member of the Air Force Scientific Advisory Board for nearly a dozen years, twice receiving the Air Force Decoration for Exceptional Civilian Service, serving as Vice Chair (2005-2009), and chairing numerous technical studies, including a 2006 study on Air Vehicle Fuel Efficiency and a 2010 study on Future Launch Vehicles. She is a Fellow of APS, AIAA, and ASME, and is a 2013-14 Midwest Mechanics Seminar speaker. She received her B.S. in Engineering from UCLA in 1978 and her M.S. and Ph.D. in Mechanical Engineering from the California Institute of Technology in 1979 and 1982, respectively. More information on Karagozian’s UCLA Energy and Propulsion Research Laboratory may be found at <a href="http://www.seas.ucla.edu/combustion/">http://www.seas.ucla.edu/combustion/</a> .</big></small></small></big></big></p>
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</div></div></div>Mon, 31 Mar 2014 13:51:20 +0000gunn2940 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/instabilities-reactive-and-non-reactive-flowfields-fundamental-issues-underlying-future#commentsComputational Multiphysics Research: Bioinspiration, Biomedical Engineering, Renewable Energy, and Naval Hydrodynamics Dr. Brent Craven The Pennsylvania State University
http://www.egr.msu.edu/me/events/computational-multiphysics-research-bioinspiration-biomedical-engineering-renewable-energy
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-03-27T09:30:00-04:00">Mar 27, 2014 - 9:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3450 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big><strong>Abstract</strong></big></p>
<p><big>Computational modeling and high performance computing (HPC) have and will continue to significantly enable science and engineering by facilitating scientific discovery and accelerating engineering design and analysis through large-scale simulations of transport phenomena in complex systems. As a computational scientist at The Pennsylvania State University, I have established a vibrant, independent research program with the primary goal of utilizing computational fluid dynamics (CFD) and HPC to solve challenging multiphysics problems across a broad range of application areas that include biological fluid dynamics and bioinspiration, biomedical engineering, renewable energy, and naval hydrodynamics. In this talk I will summarize the collaborative and multidisciplinary research that is ongoing in my group at Penn State, highlighting our technical approach and scientific contributions in each area. </big> </p>
<p><strong><big>Biography</big></strong></p>
<p><big>Dr. Craven is currently head of the Computational Methods Development Department at the Applied Research Laboratory and an Assistant Professor of Mechanical Engineering with an Affiliate Faculty appointment in Bioengineering at The Pennsylvania State University. He received his Ph.D. in Mechanical Engineering from Penn State University in 2008 under the mentorship of Professor Eric Paterson and Professor Gary Settles, prior to joining the research and academic faculty at the same institution. Dr. Craven is a computational scientist that specializes in the development and application of computational mechanics software for solving complex multiphysics problems on modern HPC systems in application areas that include biological fluid dynamics and bioinspiration, biomedical engineering, renewable energy, and naval hydrodynamics. He has significant experience in collaborative, multidisciplinary research. Dr. Craven has authored 19 refereed articles with many in high-impact journals that include <em>Nature Neuroscience</em>, <em>PLOS ONE</em>, <em>Journal of the Royal Society Interface</em>, <em>Applied Physics Letters</em>, and <em>The Journal of Experimental Biology</em>. His research has also been featured in popular science magazines and websites such as PBS NOVA ScienceNOW, Science Magazine News, and New Scientist.</big></p>
</div></div></div>Wed, 26 Mar 2014 14:38:53 +0000gunn2939 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/computational-multiphysics-research-bioinspiration-biomedical-engineering-renewable-energy#commentsTranslational Control Design for Lower-Limb Prosthetics: Lessons from Robot Locomotion Robert D. Gregg Assistant Professor of Mechanical Engineering and Bioengineering University of Texas at Dallas
http://www.egr.msu.edu/me/events/translational-control-design-lower-limb-prosthetics-lessons-robot-locomotion-robert-d-gregg
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-03-25T10:30:00-04:00">Mar 25, 2014 - 10:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3450 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big><strong>Abstract</strong></big><br /><big>High-performance prostheses could significantly improve the quality of life for nearly a million American lower-limb amputees, whose ambulation is slower, less stable, and requires more metabolic energy than that of able-bodied individuals. Although recent motorized prostheses have the potential to restore mobility in this impaired population, critical barriers in control technology still limit their clinical viability. These systems discretize the gait cycle into multiple distinct control models, each tracking reference joint torques, kinematics (angles/velocities), or impedances (stiffness/viscosity) that resemble human behavior. These increasingly complex designs are difficult to tune to individuals and generalize to different tasks, and their sequential controllers are not necessarily robust to external perturbations that push joint kinematics forward or backward in the gait cycle. However, recent bipedal robots can stably walk, run, and climb stairs with a single control model based on virtual constraints, which drive joint patterns as functions of a mechanical variable that continuously represents the robot’s progression through the gait cycle, i.e., a sense of “phase.”</big></p>
<p><big>These breakthroughs in robot control theory present an emerging opportunity to address a key roadblock in prosthetic and orthotic control technology, which will be the topic of this talk. I will provide evidence that the Center of Pressure (COP) in the plantar sole serves as a phase variable in human locomotion, by which the neuromuscular system represents the phase of the gait cycle. A unifying prosthesis controller will then be designed to enforce biomimetic virtual constraints between the COP and joint angles, known in the prosthetics field as the “effective shapes” of the stance leg during walking. Recent experiments with above-knee amputee subjects using a powered prosthetic leg will be presented and future research directions will be discussed.</big></p>
<p><big><strong>Biography</strong></big></p>
<p><big>Robert D. Gregg IV received the B.S. degree (2006) in electrical engineering and computer sciences from the University of California, Berkeley and the M.S. (2007) and Ph.D. (2010) degrees in electrical and computer engineering from the University of Illinois at Urbana-Champaign. He is an Assistant Professor of Mechanical Engineering and Bioengineering at the University of Texas at Dallas and the Director of the Locomotor Control Systems Laboratory. Prof. Gregg was previously a Research Scientist at the Rehabilitation Institute of Chicago and an <em>Engineering into Medicine</em> Fellow at Northwestern University. His research concerns the control mechanisms of bipedal locomotion with application to both wearable and autonomous robots.</big></p>
<p><big>Prof. Gregg is a recipient of the NIH Director’s New Innovator Award and the Burroughs Wellcome Fund’s Career Award at the Scientific Interface. He also received the Best Technical Paper Award of the 2011 <em>CLAWAR</em> conference, the 2009 O. Hugo Schuck Award of the IFAC American Automatic Control Council, and the Best Student Paper Award of the 2008 <em>American Control Conference</em>. Dr. Gregg is a member of the IEEE Control Systems Society and the IEEE Robotics & Automation Society.</big></p>
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<p><a href="http://www.utdallas.edu/%7Ergregg/">http://www.utdallas.edu/~rgregg/</a></p>
</div></div></div>Wed, 19 Mar 2014 21:06:16 +0000gunn2938 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/translational-control-design-lower-limb-prosthetics-lessons-robot-locomotion-robert-d-gregg#commentsGeometric Algorithms for GPU-Accelerated CAD and Patient-Specific Heart Modeling Dr. Adarsh Krishnamurthy University of California at San Diego
http://www.egr.msu.edu/me/events/geometric-algorithms-gpu-accelerated-cad-and-patient-specific-heart-modeling-dr-adarsh
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-03-20T09:30:00-04:00">Mar 20, 2014 - 9:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3450 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big><strong>Abstract</strong></big><br /><big>Computational models are beginning to play a significant role in design and manufacturing as well as in translational bio-medical applications in providing designers and clinicians with tools that aid in their decision making process. Many of these computational models require better geometric algorithms that are computationally efficient and interactive for widespread adoption. The talk will focus on two main application areas of geometric algorithms in computer-aided design (CAD) and in patient-specific heart modeling. </big></p>
<p><br /><big>Complex CAD operations were not previously interactive due to the intensive nature of the geometric computations performed by the CAD system. We have developed new parallel geometric algorithms that are accelerated using the Graphics Processing Unit (GPU). The first part of the talk will focus on parallel algorithms to accelerate hierarchical mesh computations such as surface-surface intersection and clearance computations. These new GPU-based algorithms achieve tremendous performance gains (>50x) over existing CPU implementations and enable real-time physical simulations in a CAD system. Such interactive design systems will aid in virtual prototyping and manufacturing of the product design and ultimately reduce the time-to-market for the product. </big></p>
<p><br /><big>The second part of the talk will focus on patient-specific cardiovascular models that predict response to cardiac resynchronization therapy (CRT), which uses implantable pacemakers to treat dyssynchronous heart failure. With the help of comprehensive patient-specific models, we were able to identify mechanisms that explain 80% of the variance in the response to CRT between patients. The results show great promise as a new way of better discriminating CRT responders from non-responders and the use of computational models for optimizing therapeutic outcomes in these patients. The talk will also touch upon novel isogeometric and multi-scale methods to build cubic-Hermite finite-element models of a four-chamber heart and perform biomechanics simulations.</big></p>
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</div></div></div>Wed, 19 Mar 2014 21:03:17 +0000gunn2937 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/geometric-algorithms-gpu-accelerated-cad-and-patient-specific-heart-modeling-dr-adarsh#commentsComputational Cardiac Modeling: A Clinically Tool to Understand Heart Diseases and Optimize Treatments Dr. Lik Chuan Lee, Ph.D. Department of Surgery, School of Medicine University of California at San Francisco
http://www.egr.msu.edu/me/events/computational-cardiac-modeling-clinically-tool-understand-heart-diseases-and-optimize
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-03-18T09:30:00-04:00">Mar 18, 2014 - 9:30 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3450 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><big>Heart failure is a worldwide epidemic contributing considerably to the overall health care cost in developed nations. Therefore, the search for new and effective therapies of heart failure is a critical priority. With the recent advancement in medical imaging techniques, finite element modeling is increasingly integrated with medical images to better understand various heart diseases and clinical interventions. In this seminar, I will discuss how patient or animal specific finite element modeling of ventricular mechanics, coupled ventricular electromechanics and ventricular growth mechanics are applied to understand heart diseases and some of the novel treatments that were developed to treat heart diseases. I will also describe how regional ventricular material properties are quantified <em>in vivo</em> by combining inverse finite element modeling and medical imaging. This is particularly important simply because the pathological state of the ventricles can be reflected by its regional mechanical properties.</big></p>
</div></div></div>Mon, 17 Mar 2014 12:47:29 +0000gunn2936 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/computational-cardiac-modeling-clinically-tool-understand-heart-diseases-and-optimize#commentsLinking fabrication with nanostructure of organic solar cells: Using multi-scale modeling for quantitative understanding - Olga Wood PhD Iowa State University
http://www.egr.msu.edu/me/events/linking-fabrication-nanostructure-organic-solar-cells-using-multi-scale-modeling-quantitati-0
<div class="field field-name-field-events-date field-type-datetime field-label-above"><div class="field-label">Date: </div><div class="field-items"><div class="field-item even"><span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-03-11T10:15:00-04:00">Mar 11, 2014 - 10:15 am</span></div></div></div><div class="field field-name-field-events-location field-type-text field-label-above"><div class="field-label">Location: </div><div class="field-items"><div class="field-item even">3540 Engineering Building</div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even" property="content:encoded"> <p><tt>Organic</tt> <tt>solar</tt> <tt>cells</tt> <tt>fabricated</tt> <tt>from</tt> <tt>polymer-fullerene</tt> <tt>blends</tt> <tt>represent</tt> <tt>a</tt> <tt>promising</tt> <tt>low-cost,</tt> <tt>rapidly</tt> <tt>deployable</tt> <tt>strategy</tt> <tt>for</tt> <tt>harnessing</tt> <tt>the</tt> <tt>solar</tt> <tt>energy.</tt> <tt>Along</tt> <tt>with</tt> <tt>the</tt> <tt>synthesis</tt> <tt>of</tt> <tt>new</tt> <tt>organic</tt> <tt>semiconductors</tt> <tt>and</tt> <tt>development</tt> <tt>of</tt> <tt>new</tt> <tt>device</tt> <tt>architecture,</tt> <tt>improvements</tt> <tt>in</tt> <tt>efficiency</tt> <tt>have</tt> <tt>come</tt> <tt>from</tt> <tt>optimizing</tt> <tt>fabrication</tt> <tt>to</tt> <tt>improve</tt> <tt>morphology.</tt> <tt>Improving</tt> <tt>morphology</tt> <tt>is</tt> <tt>crucial</tt> <tt>because</tt> <tt>all</tt> <tt>physical</tt> <tt>processes</tt> <tt>within</tt> <tt>organic</tt> <tt>solar</tt> <tt>cells</tt> <tt>are</tt> <tt>strong</tt> <tt>functions</tt> <tt>of</tt> <tt>the</tt> <tt>film</tt> <tt>morphology.</tt> <tt>Establishing</tt> <tt>how</tt> <tt>processing</tt> <tt>conditions</tt> <tt>quantitatively</tt> <tt>affect</tt> <tt>the</tt> <tt>morphology,</tt> <tt>however,</tt> <tt>remains</tt> <tt>elusive.</tt> <tt>One</tt> <tt>of</tt> <tt>the</tt> <tt>major</tt> <tt>challenges</tt> <tt>stems</tt> <tt>from</tt><tt> the </tt><tt>difficulty</tt> <tt>to</tt> <tt>visualize</tt><tt> the </tt><tt>internal</tt> <tt>structure</tt> <tt>of</tt> <tt>thin</tt> <tt>film.</tt></p>
<p><tt>In</tt> <tt>this</tt> <tt>talk,</tt> <tt>I</tt> <tt>will</tt> <tt>demonstrate</tt> <tt>new</tt> <tt>computational</tt> <tt>frameworks</tt> <tt>designed</tt> <tt>to</tt> <tt>link</tt> <tt>process</tt> <tt>with</tt> <tt>nanostructure</tt> <tt>in</tt> <tt>polymer</tt> <tt>bulk</tt> <tt>heterojunction</tt> <tt>solar</tt> <tt>cells.</tt> <tt>In</tt> <tt>the</tt> <tt>first</tt> <tt>part</tt> <tt>of</tt> <tt>the</tt> <tt>talk,</tt> <tt>I</tt> <tt>will</tt> <tt>focus</tt> <tt>on</tt> <tt>a</tt> <tt>strategy</tt> <tt>to</tt> <tt>predict</tt> <tt>the</tt> <tt>evolution</tt> <tt>of</tt> <tt>three</tt> <tt>dimensional</tt> <tt>morphology</tt> <tt>during</tt> <tt>manufacturing,</tt> <tt>that</tt> <tt>accurately</tt> <tt>captures</tt> <tt>multiscale</tt> <tt>temporal</tt> <tt>and</tt> <tt>spatial</tt> <tt>phenomena.</tt> <tt>This</tt> <tt>approach</tt> <tt>is</tt> <tt>able</tt> <tt>to</tt> <tt>resolve</tt> <tt>nano-morphological</tt> <tt>features</tt> <tt>while</tt> <tt>simulating</tt> <tt>device-scale</tt> <tt>domains,</tt> <tt>thus</tt> <tt>providing</tt> <tt>unprecedented</tt> <tt>insights</tt> <tt>into</tt> <tt>morphology</tt> <tt>evolution</tt> <tt>from</tt> <tt>the</tt> <tt>phase</tt> <tt>initiation</tt> <tt>to</tt> <tt>the</tt> <tt>final</tt> <tt>formation</tt><tt> – </tt><tt>far</tt> <tt>beyond</tt> <tt>the</tt> <tt>capability</tt> <tt>of</tt> <tt>currently</tt> <tt>available</tt> <tt>experimental</tt> <tt>methods.</tt> <tt>I</tt> <tt>will</tt> <tt>report</tt> <tt>on</tt> <tt>the</tt> <tt>origins</tt> <tt>of</tt> <tt>four</tt> <tt>different</tt> <tt>phase</tt> <tt>initiation</tt> <tt>modes,</tt> <tt>and</tt> <tt>the</tt> <tt>consequences</tt> <tt>they</tt> <tt>have</tt> <tt>for</tt> <tt>tailoring</tt> <tt>fabrication</tt> <tt>to</tt> <tt>the</tt> <tt>desired</tt> <tt>structure.</tt> <tt>In</tt> <tt>the</tt> <tt>second</tt> <tt>part,</tt> <tt>I</tt> <tt>will</tt> <tt>introduce</tt> <tt>a</tt> <tt>comprehensive</tt> <tt>set</tt> <tt>of</tt> <tt>computational</tt> <tt>tools</tt> <tt>derived</tt> <tt>from</tt> <tt>graph</tt> <tt>theory</tt> <tt>to</tt> <tt>rapidly</tt> <tt>quantify</tt> <tt>and</tt> <tt>classify</tt> <tt>two</tt> <tt>and</tt> <tt>three</tt> <tt>dimensional</tt> <tt>heterogeneous</tt> <tt>material</tt> <tt>systems.</tt> <tt>These</tt> <tt>tools</tt> <tt>provide</tt> <tt>a</tt> <tt>new</tt> <tt>way</tt> <tt>to</tt> <tt>encapsulate</tt> <tt>physically</tt> <tt>meaningful</tt> <tt>topological</tt> <tt>properties</tt> <tt>of</tt> <tt>complex</tt> <tt>three</tt> <tt>dimensional</tt> <tt>structures</tt> <tt>into</tt> <tt>a</tt> <tt>set</tt> <tt>of</tt> <tt>easily</tt> <tt>comparable</tt> <tt>descriptors.</tt> <tt>Based</tt> <tt>on</tt> <tt>a</tt> <tt>unique</tt> <tt>combination</tt> <tt>of</tt> <tt>electron</tt> <tt>tomography</tt> <tt>maps</tt> <tt>of</tt> <tt>a</tt> <tt>morphology</tt> <tt>as</tt> <tt>well</tt> <tt>as</tt> <tt>atom-based</tt> <tt>cloud</tt> <tt>data,</tt> <tt>I</tt> <tt>will</tt> <tt>discuss</tt> <tt>the</tt> <tt>effect</tt> <tt>of</tt> <tt>different</tt> <tt>processing</tt> <tt>conditions</tt> <tt>on</tt> <tt>the</tt> <tt>morphology</tt> <tt>and</tt> <tt>the</tt> <tt>implications</tt> <tt>they</tt> <tt>have</tt> <tt>on</tt> <tt>the</tt> <tt>device</tt> <tt>performance.</tt> <tt>Finally,</tt> <tt>I</tt> <tt>will</tt> <tt>discuss</tt> <tt>broader</tt> <tt>implications</tt> <tt>of</tt> <tt>both</tt> <tt>computational</tt> <tt>frameworks to other </tt><tt> <tt>heterogeneous</tt> <tt>material</tt> <tt>systems with wide spectrum of</tt> </tt><tt>application</tt><tt>.</tt></p>
</div></div></div>Wed, 12 Mar 2014 14:56:33 +0000gunn2935 at http://www.egr.msu.edu/mehttp://www.egr.msu.edu/me/events/linking-fabrication-nanostructure-organic-solar-cells-using-multi-scale-modeling-quantitati-0#comments