Month: April 2019

Our Senior Design Program Leads to Mutually Beneficial Partnerships with Industry

Through our Senior Design Program, industrial sponsors put the bright UConn ME undergraduate students to work on a real-world problem that they are interested in researching, while reaping the benefits of our faculty’s experience and expertise. For students, this program is an opportunity to synthesize and apply the classroom engineering knowledge they have acquired. They delve further into various aspects of product development process, and are experiencing first hand how ethics affect engineering decisions, how professionals communicate ideas and the day-to-day implications of design decisions and of intellectual property.

Here is a podcast, part of Simsbury Bank’s “Manufacturing Matters” initiative, in which CEO Martin Geitz discusses a UConn Engineering Senior Design partnership with EDAC Technologies that has provided a mechanism to hire some of our talented engineering graduates while providing solutions to one of the company’s major challenges.

 

From left to right in the video: Kenneth Osborn (Engineering Manager, EDAC), Emily Sweeney (UConn senior), Martin Geitz (CEO, Simsbury Bank) and Prof. Vito Moreno (UConn).

 

Prof. Ronald K. Hanson (Stanford): PW Distinguished Lecture: New Strategies for Laser Diagnostics and Shock Tube Imaging

Abstract: This presentation will introduce two new ideas for laser diagnostics applicable to combustion and propulsion and two new ideas for high-speed imaging of combustion phenomena in a shock tube.  The first laser diagnostic to be discussed is Spectrally-Resolved Fluorescence, in which a narrow-linewidth wavelength-tunable laser source is rapidly scanned over one or more absorption transitions, allowing collection of a spatially resolved laser-induced fluorescence signal that reflects the strength and shape of the absorption feature.  This diagnostic can potentially provide accurate determinations of temperature, pressure, flow velocity and the concentration of the absorbing species.  The example to be presented will be of OH excited and detected in the ultraviolet (UV).  The second new laser diagnostic utilizes a narrow-linewidth infrared laser source that can be scanned rapidly over a relatively wide wavelength range, thereby enabling acquisition of spectral absorption cross-sections over a full rovibrational absorption band of combustion-relevant species in a short time (a few milliseconds), compatible with the test times available in reflected shock wave experiments.   The goal of the experiments is to generate a unique data base for cross-sections over a wide range of temperature, not feasible in a heated static cell.  Two other experiments will be presented, both based on imaging of shock-heated gases. In the first experiment, high-speed imaging is used to visualize and characterize aspects of inhomogeneous ignition that can occur in reflected shock wave experiments of hydrocarbon fuel ignition; such inhomogeneous ignition is undesirable and can contaminate data sets aimed at providing high-quality information on ignition delay times.  As a second example of imaging in a shock tube, a new experiment will be introduced that measures the burning velocity of a flame produced by laser ignition of combustible gases behind a reflected shock wave.  The objective is to enable flame speed measurements at elevated temperatures not accessible with conventional flame speed techniques.  Such conventional methods are limited by the partial reaction of the mixture that occur during the lengthy period of preparing reactive mixtures, whereas with a shock tube experiment the time interval between shock wave heating and ignition can be adjusted to be quite small.  Results obtained in heptane-air flames provide clear evidence of cool flame effects not previously seen in flame speed experiments.  In current work, the observation of flame speed from the time-resolved position of chemiluminescent emission is also being augmented by various laser absorption diagnostics to additionally characterize the burned gases behind the flame.

Bio Sketch: Professor Hanson received his bachelor’s degree from Oregon State University in mechanical engineering and his doctoral degree from Stanford University where he currently holds the Woodard Chair in Mechanical Engineering.  He has been an international leader in the development of laser-based diagnostic methods for combustion and propulsion, and in the development of shock tube methods for accurate determination of chemical reaction rate parameters needed for modeling combustion and propulsion systems, and together with his students he has made several pioneering contributions that have advanced the pace of propulsion research and development worldwide.  He is a Fellow of AIAA, ASME and OSA, a member of the National Academy of Engineering, and a recipient of gold medal awards from the Combustion Institute, the Institute for Dynamics of Explosions and Reactive Systems, and multiple gold medals from the AIAA. He has published over one thousand papers and advised over 100 doctoral students, including 31 now holding faculty appointments around the world.

A new, nature-inspired self-healing rubber developed by Prof. Li and his collaborators from USC.

A severed 3D-printed shoe pad repairing itself (Submitted Photo/An Xin and Kunhao Yu)

A new paper published by Prof. Ying Li and his collaborators from University of Southern California in NPG Asia Materials provide the details of a new class of self-healing rubber that is inspired by the healing of natural tissues.

For more details, please see the news article from UConn Today.

 

 

Dr. Ruhong Zhou (IBM): Large Scale Molecular Simulation of Nanoparticle-Biomolecule Interactions

Abstract: ​Nanoscale particles have become promising materials in various biomedical applications, however, in order to stimulate and facilitate these applications, there is an urgent need for a better understanding of their biological effects and underlying physics. In this talk, I will discuss some of our recent works, mostly molecular modelling, at bio-nano interface and their underlying molecular mechanism. We show that carbon-based nanoparticles (carbon nanotubes, graphene nanosheets, and fullerenes) can interact and disrupt the structures and functions of many important proteins. The hydrophobic interactions between the carbon nanotubes and hydrophobic residues, particularly aromatic residues through the so-called π-π stacking interactions, are found to play key roles. Meanwhile, metallofullerenol Gd@C82(OH)22 is found to inhibit tumour growth and metastases with both experimental and theoretical approaches. Graphene and graphene oxide (GO) nanosheets show strong destructive interactions to ​E. coli cell membranes (antibacterial activity) with unique molecular mechanisms, while PEGylated GO nanosheets stimulate potent cytokine responses in peritoneal macrophages. On the other hand, GO nanosheets also show a strong supportive role in enzyme immobilisation such as lipases through lid opening. In particular, the lid opening is assisted by lipase’s sophisticated interaction with GO, which allows the adsorbed lipase to enhance its enzyme activity. The lipase enzymatic activity can be further optimized through fine tuning of the GO surface hydrophobicity. These findings might provide a better understanding the underlying physics at bio-nano interface, with implications in future ​de novo​ nanomedicine design.

Biographical Sketch: ​Ruhong Zhou, AAAS Fellow, APS Fellow, is currently a Distinguished Research Staff Member and Manager of Soft Matter Science, IBM Healthcare and Life Science Research, and an Adjunct Professor at Department of Chemistry, Columbia University. He received his Ph.D. with Prof. Bruce Berne in chemistry from Columbia University in 1997. He joined IBM Research in 2000, after spending two and a half years working with Prof. Richard Friesner (Columbia Univ) and Prof. William Jorgensen (Yale Univ) on polarizable force fields. He has authored and co-authored 240 journal publications (including 29 in Cell, Science, Nature, Nature subjournals and PNAS), and 26 patents, delivered 200+ invited talks at major conferences and universities worldwide, and chaired and co-chaired many conferences in computational biology, computational chemistry, and biophysics fields. He is part of the IBM Blue Gene team who won the 2009 National Medal on Technology and Innovation. He has won the IBM Outstanding Technical Achievement Award (OTAA) in 2018, 2016, 2014, 2008 and 2005; IBM Outstanding Innovation Award in 2015 and 2012; Columbia University Hammett Award (for best graduates); and American Chemical Society DEC Award on Computational Chemistry. He is Editor-in-Chief of Current Physical Chemistry, Guest Editor of Nanoscale, Editor of (Nature) Scientific Reports, and Editorial Board Member of six other international journals. He also serves as Board of Directors, Telluride Science Research Center (TSRC), and Scientific Advisory Board, Center for Multiscale Theory and Simulation, University of Chicago. He was elected to AAAS Fellow (American Association of Advancement of Science) and APS Fellow (American Physical Society) in 2011, and IBM Distinguished Research Staff Member (DRSM) in 2014.

Integration of Materials Design, Additive Manufacturing and Machine Learning for Personalized Heart Surgery Planning and Optimization

Abstract: ​This seminar presents a research study for personalized heart surgery planning and optimization with integration of advanced materials design, multi-material 3D printing, and machine learning techniques. In this study, a meta-material design approach was first developed to create a mechanical structure that can mimic mechanical behavior of human aortic valves. The tissue-mimicking heart valves were then fabricated using a multi-material 3D printing process. The 3D printed heart valves can be used for pre-surgery planning of heart disease treatment and intervention. The patient-specific heart valves can serve as “virtual patients” which can be used to generate treatment or surgery data for various patients and conditions. In this research, these 3D printed heart valves were used to augment data from relatively small number of available real patients to create more accurate predictive model with machine learning. This model can be used by physicians and surgeons to make more informed decisions for personalized heart surgery planning and optimization. This methodology and its effectiveness were demonstrated through an application case of planning of transcatheter aortic valve replacement (TAVR) surgery.

Biographical Sketch: ​Dr. Chuck Zhang is the Harold E. Smalley Professor at H. Milton Stewart School of Industrial & Systems Engineering of Georgia Institute of Technology. His current research interests include additive manufacturing, cyber-physical systems, and advanced composites/nanocomposites manufacturing and maintenance. Dr. Zhang has managed or conducted numerous research projects sponsored by major federal agencies including National Science Foundation, National Institute of Standards and Technology, Department of Defense, and Department of Veterans Affairs, as well as industrial companies such as ATK, Cummins, Delta Air Lines and Lockheed Martin. He is a fellow of IISE. Dr. Zhang has published over 190 refereed journal articles and 220 conference papers. He also holds 24 U.S. patents.