Past Seminars

Atomistic Modeling at Experimental Strain Rates and Time Scales

Abstract: I will present a new computational approach that couples a recently  developed potential energy surface exploration technique with applied mechanical loading to study the deformation of atomistic systems at strain rates that are much slower, i.e. experimentally-relevant, as compared to classical molecular dynamics simulations, and at time scales on the order of seconds or longer.  I will highlight the capabilities of the new approach via multiple examples, including:  (1) Providing new insights into the plasticity of amorphous solids, with a particular emphasis on how the shear transformation zone characteristics, which are the amorphous analog to dislocations in crystalline solids, undergo a transition that is strain-rate and temperature-dependent; (2) Demonstrating new, strain-rate-dependent yield mechanisms and phenomena in bicrystalline metal nanowires; (3) Demonstrating new mechanical force-induced unfolding pathways for the protein ubiquitin.

Biographical Sketch: Harold Park is a Professor of Mechanical Engineering at Boston University. He received his BS, MS and PhD in Mechanical Engineering from Northwestern University in 1999, 2001 and 2004, respectively.  He was a postdoctoral researcher at Sandia Labs (California) from 2004-2005.  He held tenure-track positions at Vanderbilt University (2005-2007) and the University of Colorado (2007-2009) before moving to Boston University in 2010.  His research has generally focused on the mechanics of nanostructures, coupled physics phenomena at nano and continuum length scales, and the mechanics of soft, active materials.

 

Mechanics of Blood Clots and Fluctuating Lipid Bilayers

Abstract: Blood clots are required to stem bleeding and are subject to a variety of stresses, but they can also block blood vessels and cause heart attacks and strokes. We measured the compressive response of human platelet-poor plasma (PPP) clots, platelet-rich plasma (PRP) clots and whole blood clots and correlated these measurements with confocal and scanning electron microscopy to track changes in clot structure. Stress-strain curves revealed four characteristic regions, for compression-decompression: 1) linear elastic region; 2) upper plateau or softening region; 3) non-linear elastic region or re-stretching of the network; 4) lower plateau in which dissociation of some newly made connections occurs. Our experiments revealed that compression proceeds by the passage of a phase boundary through the clot separating rarefied and densified phases. This observation motivates a model of fibrin mechanics based on the continuum theory of phase transitions, which accounts for the pre-stress caused by platelets, the adhesion of fibrin fibers in the densified phase, the compression of red blood cells (RBCs), and the pumping of liquids through the clot during compression/decompression. Our experiments and theory provide insights into the mechanical behavior of blood clots that could have implications clinically and in the design of fibrin-based biomaterials. As a second topic we will consider thermal fluctuations of lipid bilayer membranes. Typically, membrane fluctuations are analyzed by decomposing into normal modes or by molecular simulations. We propose a new approach to calculate the partition function of a membrane. We view the membrane as a fluctuating elastic plate and discretize it into triangular elements. We express its energy as a function of nodal displacements, and then compute the partition function and covariance matrix using Gaussian integrals. We recover well-known results for the dependence of the projected area of the membrane on the applied tension and recent simulation results on the dependence of membrane free energy on geometry, spontaneous curvature and tension. As new applications, we compute elastic and entropic interactions of inclusions in membranes.

Biographical Sketch: Prashant Purohit is currently Associate Professor in the Department of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania. He got his PhD at Caltech in 2002 studying martensitic phase transitions in solids. His current interest is in problems at the intersection of mechanics, physics and biology. Of particular interest are problems in which thermal fluctuations, or entropy, plays a significant role in the mechanics. Examples of such problems include DNA phase transitions, fluctuating filaments and networks and the mechanics of lipid bilayers. Prashant has also worked on nanomechanics of flexoelectric solids and carbon nanotube foams.

Particle-Resolved Simulations of Complex Multi-Phase Flows

Abstract: Multiphase flows are ubiquitous in a wide range of natural processes and engineering applications. Although efforts to compute multiphase flows started as early as the beginning of the computational fluid dynamics (CFD), the progress was rather slow mainly due to the existence of interfaces that continuously evolve in time and often undergo large deformations leading to topological changes such as breakup and coalescence. In the case of confinement, the fluid-fluid interface strongly interacts with the complex channel wall and usually involve small features such as thin liquid films that are difficult to resolve computationally. Multi-physics effects such as soluble surfactant, phase change, chemical reactions, moving contact line and viscoelasticity make the problem even more complicated and challenging for computational simulations. In this talk, I will discuss our work towards addressing these challenges. I will first describe a front-tracking method developed for particle-resolved simulations of multiphase flows, where all relevant continuum length and time scales are fully resolved in all phases. Special emphasis will be placed on treatment of soluble surfactants, viscoelasticity and phase change (droplet evaporation and burning). Sample results will be presented for various multiphase flows encountered or inspired by bio/microfluidic applications. The microfluidic applications generally involve highly laminar low Reynolds number flows but the numerical method is not restricted to low Reynolds numbers and can be directly applied to turbulent multiphase flows at moderate and even high Reynolds numbers depending on available computational resources. Sample results will also be presented about effects of soluble surfactant on weakly turbulent bubbly flows at moderate Reynolds numbers. The talk will conclude with future directions and applications of presented method to large multi-scale and multi-physics problems of practical interest.

 

Biography: Dr. Muradoglu is a professor of Mechanical Engineering at Koc University. He received his BS degree in Aeronautical Engineering from Istanbul Technical University (ITU) in 1992, and MS and PhD degrees both from Cornell University in 1997 and 2000, respectively. He also worked as a postdoc at Cornell for about 18 months before joining the Koc University faculty in 2001 as an assistant professor where he became an associate professor in 2007 and a full professor in 2016. He has had visiting positions at Harvard, Notre Dame and Princeton Universities, and is currently visiting the University of Michigan, Ann Arbor. Dr. Muradoglu’s work has been recognized by multiple awards including the Turkish Academy of Sciences outstanding young scientist award (TUBA-GEBIP) (2009), Middle East Technical University encouragement award (2009) and the Scientific and Technological Research Council of Turkey (TUBITAK) encouragement award (2010). He has been an associate member of Turkish Academy of Sciences since 2012.

Battery Aging and Lifetime: What Can We Learn From Ecological Approaches?

Prof. Lucia Gauchia

Assistant Professor, Michigan Technological University

Thursday, May 25, 2017

10:30AM – 11:30 AM

PWEB 476

ABSTRACT

Battery technologies are increasingly being deployed across diverse applications, from portable devices to transportation and residential and grid applications. Consequently, these applications require batteries that can sustain demanding life cycle requirements since batteries can be an asset for multiple services within the same application. In addition, batteries are relied upon for resiliency, and thus, aging is a factor that needs to be considered, especially as battery aging is context-dependent on variations in environmental factors and application demands. In this seminar we will discuss the challenges of battery aging, its multiple scales –cell, module, pack- implications and how we can learn from successful data-enabled approaches applied to ecological systems to better adapt batteries to its application and improve lifetime.

BIOGRAPHY

Lucia Gauchia received her Ph.D. degree in Electrical Engineering from the University Carlos III of Madrid, Spain in 2009. Since September 2013 she is the Richard and Elizabeth Henes Assistant Professor of Energy Storage Systems at the Electrical and Computer Engineering Department and Mechanical Engineering-Engineering Mechanics Department at Michigan Technological University (USA). During 2012 she was a Postdoctoral Research Associate with McMaster University (Canada), working for the Canada Excellence Research Chair in Hybrid Powertrain and the Green Auto Powertrain Program. From 2008 to 2012 she worked at the Electrical Engineering Department at the University Carlos III of Madrid (Spain). Her research interests include the testing, modeling and energy management of energy storages systems. She received the NSF CAREER award in 2017.

Towards Cognitive Design Assistants

Friday, February 17 • 2:30 PM – BPB, Rm. 130

Towards cognitive design assistants and mixed-initiative design of complex systems

Daniel Selva, Assistant Professor

Sibley School of Mechanical and Aerospace Engineering
Cornell University, Ithaca, New York 14853

 

Abstract: Much research in engineering design has focused on making design tools more intelligent by means of optimization, machine learning, and artificial intelligence. The Holy Grail has been to one day be able to do automatic design of complex systems such as spacecraft. This line of research essentially casts design tools as intelligent agents. We thus identify an opportunity to turn into the Intelligent Systems and Human-Agent Interaction fields to get insights about what proved effective in other application areas. Traditionally, the intelligent systems field emphasized fully automated and autonomous agents to tackle complex but structured tasks in well-characterized environments. Increasingly, however, a significant portion of the research has shifted towards human-machine collaboration in order to solve more unstructured tasks in unpredictable environments. This emphasis on mixed teams raises new challenges and questions, such as how to give design agents self-explaining abilities, explore new roles for humans and machines in these collaborations, and facilitate knowledge discovery.

In this talk, I will focus on how to discover and leverage knowledge in mixed-initiative design. First, I will show how the effectiveness of design space exploration algorithms can be improved by using adaptive operator selection algorithms that use domain-independent operators in combination with heuristics encoding expert knowledge. Then, I will show how visual and data analytics can be used to foster discovery and generalization of patterns that appear consistently in good designs. Finally, I will share my thoughts on what I think lies ahead in the exciting new field of design.

 

Biographical Sketch: Daniel Selva received a PhD in Space Systems from MIT in 2012, and he is an Assistant Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University and in the Systems program, where he directs the Systems Engineering, Architecture, and Knowledge (SEAK) Lab. His research interests focus on the application of knowledge engineering, global optimization and machine learning techniques to systems engineering, design, and architecture, with a strong focus on space systems. Prior to MIT, Daniel worked for four years in Kourou (French Guiana) as an avionics specialist within the Ariane 5 Launch team. Daniel has a dual background in electrical engineering and aeronautical engineering, with degrees from Universitat Politecnica de Catalunya in Barcelona, Spain, and Supaero in Toulouse, France. He is also a Faculty Fellow at the Mario Einaudi Center for International Studies, and a member of the AIAA Intelligent Systems Technical Committee.

 

For additional information, please contact Prof. Ying Li at (860) 486-7110, yingli@engr.uconn.edu or

Laurie Hockla at (860) 486-2189, hockla@engr.uconn.edu

Transport of Heat & Momemtum in Non-Equilibrium Wall-Bounded Flows

Friday, November 18 • 2:30 PM – PWEB, Rm. 175

Christopher White, Associate Professor of Mechanical Engineering

University of New Hampshire, Durham, NH 03824

Abstract: Non-equilibrium wall-bounded flows, in which perturbation time scales are comparable to turbulent flow time scales, do not exhibit universal behaviors and cannot be characterized only in terms of local parameters. Pressure gradients, fast transients and complex geometries are among the sources that can perturb a flow from an equilibrium state to a non-equilibrium state. Since all or some of these perturbation sources are present in many engineering application relevant flow systems and geophysical flows, understanding and predicting the non-equilibrium flow dynamics is essential to reliably analyze and control such flows. This talk will describe zongoing work using complementary numerical and physical experiments to better understand the underlying physics, transition dynamics, and appropriate flow scaling in non-equilibrium, periodic wall-bounded flows. The overarching goal is to use the results from these scientific investigations to improve upon the robustness of engine computational fluid dynamics (CFD) models so that they can be used for engineering design of low emission, high-efficiency piston engines.

Biographical Sketch: Dr. White received his Ph.D. in Mechanical Engineering from Yale University in 2001. From 2001-2004 he was Postdoctoral Research Fellow at Stanford University. Following his post-doctoral work, he joined Sandia National Laboratories as a Senior Member of the Technical Staff in the Combustion Research Facility. His principal duties at Sandia included lead investigator in the Advanced Hydrogen Fueled Engine Laboratory. In 2006, he joined the Mechanical Engineering Faculty at the University of New Hampshire.

Dr. White’s research is broadly motivated by applications related to the production, storage, distribution, conversion, and end-use applications of energy. His research to date is of both fundamental and applied nature in the areas of combustion, piston engines, biomass, ocean energy, and turbulent drag reduction. His 2006 paper “The hydrogen-fueled internal combustion engine: a technical review” is designed as a Highly Cited Paper (top 1% in the field of engineering) by the Thompson Reuters Essential Science Indicators. He co-authored an Annual Review of Fluid Mechanics paper in 2008 titled “Mechanics and prediction of turbulent drag reduction with polymer additives”. In 2009, he received an NSF CAREER award to study the flow properties and rheology of liquefied biomass suspensions. He currently has funding from NSF, DOE, and ONR.

For additional information, please contact Prof. Ying Li at (860) 486-7110, yingli@engr.uconn.edu or Laurie Hockla at (860) 486-2189, hockla@engr.uconn.edu

Seminar of Reconfigurable Plasmonics and Metamaterials

Friday, November 11 • 2:30 PM – PWEB, Rm. 175

Reconfigurable Plasmonics and Metamaterials

11-novYongming Liu, Assistant Professor

Department of Mechanical and Industrial Engineering

Department of Electrical and Computer Engineering

Northeastern University, Boston, USA

Email: y.liu@neu.edu;

Group Website: http://www.northeastern.edu/liulab

Abstract: Plasmonics has become a very important branch in nano optics. It allows us to concentrate, guide, and manipulate light at the deep subwavelength scale, promising enhanced light-matter interaction, next-generation optical circuits, sub-diffraction-limited imaging, and ultrasensitive biomedical detection [1-3]. Furthermore, the assembly of judiciously designed metallic structures can be used to construct metamaterials and metasurfaces with exotic properties and functionalities, including anomalous refraction/reflection, strong chirality and invisibility cloak [4,5]. There is a pressing need of tunability and reconfigurability for plasmonics and metamaterials, in order to perform distinctive functionalities and miniaturize the device footprint. In this talk, I will present our recent work in reconfigurable plasmonics and metamateirals. First, I will discuss the first demonstration of reconfigurable plasmonic lenses operating in microfluidic environment, which can dynamically diverge, collimate and focus surface plasmons [6]. Second, I will present a novel graphene metasurface to fully control the phase and amplitude of infrared light with very high efficiency. It manifests broad applications in beam steering, biochemical sensing and adaptive optics in the crucial infrared wavelength range [7]. Finally, I will discuss origami-based, dual-band chiral metasurfaces at microwave frequencies. The flexibility in folding the metasurface provides another degree of freedom for geometry control in the third dimension, which induces strong chirality from the initial, 2D achiral structure [8]. These results open up a new avenue towards lightweight reconfigurable metadevices.

Biographical Sketch: Dr. Yongmin Liu obtained his Ph.D. from the University of California, Berkeley in 2009. He joined the faculty of Northeastern University at Boston in fall 2012 with a joint appointment in the Department of Mechanical & Industrial Engineering and the Department of Electrical & Computer Engineering. Dr. Liu’s research interests include nano optics, nanoscale materials and engineering, plasmonics, metamaterials, biophotonics, and nano optomechanics. He has authored and co-authored over 50 journal papers, including Science, Nature, Nature Nanotechnology, Nature Communications, Physical Review Letters and Nano Letters. Dr. Liu received Office of Naval Research Young Investigator Award (2016), 3M Non-Tenured Faculty Award (2016), Air Force Summer Faculty Fellowship (2015), and Chinese Government Award for Outstanding Students Abroad (2009). Currently he serves as an editorial board member for Scientific Reports, EPJ Applied Metamaterials and Nano Convergence.

References: [1] S. A. Maier, “Plasmonics: fundamentals and applications”, Springer Science+ Business Media (2007); [2] T. Zentgraf et al., Nature Nanotechnology 6, 151 (2011); [3] Y. M. Liu, et al., Nano Letters 12, 4853 (2012); [4] Y. M. Liu and X. Zhang, Chemical Society Reviews 40, 2494 (2011); [5] K. Yao and Y. M. Liu, Nanotechnology Review 3, 177 (2014); [6] C. L. Zhao et al., Nature Communications 4:2350 (2013); [7] Z. B. Li et al., Scientific Reports 5, 12423 (2015); [8] Z. Wang et al., manuscript in preparation.

For additional information, please contact Prof. Ying Li at (860) 486-7110, yingli@engr.uconn.edu or

Laurie Hockla at (860) 486-2189, hockla@engr.uconn.edu

Probing Thermophysical Properties of Micro/Nanostructured Materials Using Ultrafast Pump

Friday, November 4 • 2:30 PM – PWEB, Rm. 175

Probing Thermophysical Properties of Micro/Nanostructured Materials Using Ultrafast Pump- Probe Technique

xiaojia-xj-wang

Xiaojia “XJ” Wang

Benjamin Mayhugh Assistant Professor of Mechanical Engineering University of Minnesota, Minneapolis, MN

Abstract: Micro/nanostructured materials behave differently from their macroscale counterparts with regards to thermal energy transport at short time and length scales. The engineering of micro/nanostructures to tailor thermal properties for energy conversion has become an emerging field in thermal science. One of the grand challenges in this area is to achieve sufficient spatial and temporal resolutions for accurate thermal measurements of these materials. This talk will emphasize how ultrafast pump-probe technique, Time-Domain Thermoreflectance (TDTR) and its upgraded version, Time-Resolved Magneto-Optical Kerr Effect (TR- MOKE), can be used to probe thxiaojia-xj-wang2ermal properties with microscale spatial resolution and sub-picosecond temporal resolution. Examples include: 1) TR-MOKE as a novel way to explore the origins of the anisotropic thermal transport in black phosphorus with enhanced measurement sensitivity; and 2) nanoparticle-assisted localized heating for probing interfacial thermal resistance at nanometer scales.

Biographical Sketch: Dr. Xiaojia Wang started her official appointment as an assistant professor in the Department of Mechanical Engineering at the University of Minnesota, Twin Cities in 2014. Prior to this, she was a postdoctoral research associate in the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign. She received her Ph.D. in Mechanical Engineering from the Georgia Institute of Technology in 2011, and her M.S. in 2007 and B.S. in 2004 from Xi’an Jiaotong University, China, all in Mechanical Engineering. Her current research focuses on utilizing ultrafast optical techniques to characterize thermal transport in micro/nanostructured materials and across material interfaces, and tailoring the radiative properties of micro/nanostructures for energy conversion and harvesting. For details, please visit her research group website: http://www.me.umn.edu/labs/mnttl/

For additional information, please contact Prof. Michael T. Pettes at (860) 486-2855, michael.pettes@uconn.edu or Laurie Hockla at (860) 486-2189, hockla@engr.uconn.edu

Design for Discovery: Structural Shape & Topology Optimization

Friday, September 30 • 2:30 PM – PWEB, Rm. 175

Design for Discovery: Structural Shape & Topology Optimization with a Level Set Approach

Shikui Chen

Professor of Mechanical Engineering State University of New York at Stony Brook

Abstract: Topology optimization is an optimization-driven methodology which is capable of generating an optimal design without depending on the designers’ intuition, experience and inspiration. Topology optimization plays a crucial and rapidly expanding role in conceptual design and innovation, especially in automotive, aerospace and machine industries. In this talk, the speaker will make a brief review of the state of the art and introduce a level-set based topology optimization framework. In the level set framework, the boundary of the design is implicitly represented as the zero level set of a one-higher-dimensional level set function. Embedding the design in one higher dimension allows the flexibility in topological changes such as boundary merging or splitting in the design process, while keeping the boundary of the design clearly defined. After that, the speaker will report some of our recent effort to advance the level-set based topology optimization both in methodology and in applications. Selected topics include a variational distance- regularized parametric level set method, distributed compliant mechanisms synthesis, multi-physics energy harvester design, robust shape and topology optimization (RSTO) under uncertainty, and integrated design and additive manufacturing of heterogeneous mechanical metamaterials.

Biographical Sketch: Professor Shikui Chen is an Assistant Professor at the State University of New York, Stony Brook since 2013. He earned his Ph.D. in mechanical engineering from Northwestern University in 2010. Dr. Chen’s research interests are in the area of predictive science based design optimization, particularly in the fields of structural shape and topology optimization, geometric modeling with level set methods, multiphysics simulation, PDE-constrained optimization, and simulation-based design under uncertainty. His research work has been funded by government and industry grants including National Science Foundation (NSF), University Transportation Research Center (UTRC), Ford Motor Company, Stratasys and SUNY Materials and Advanced Manufacturing Network of Excellence. Dr. Chen is a member of ASME and AIAA. He was the recipient of the ASME Compliant Mechanisms Theory Award in the ASME 31st Mechanisms and Robotics Conference in 2007.

For additional information, please contact Prof. Ying Li at (860)486-7110, yingli@engr.uconn.edu or Laurie Hockla at (860)486-2189, hockla@engr.uconn.edu.