Day 2 :
Rensselaer Polytechnic Institute,USA
Keynote: On the modeling and computer simulation of multiphase flow and heat transfer in thermal systems
Time : 09:30-10:00
Michael Z Podowski is a Professor of Nuclear Engineering and Engineering Physics in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute, and the Director of Center for Multiphase Research. His research interests include fundamentals and applications of multiphase flow and heat transfer, computational multiphase flow dynamics (CMFD), supercritical-pressure turbomachinery and systems, dynamics and stability of multiphase systems and nuclear reactor thermal-hydraulics and safety. He has over 350 technical publications, including 7 books/book-chapters and more than 60 journal papers. He is Fellow of American Nuclear Society (ANS) and recipient of the 2014 ANS Compton Award.
Unlike single-phase flows, where the main factor behind the quality of computer simulations, with some notable exceptions, is mainly associated with numerical issues, two- or multiphase problems introduce a whole spectrum of additional questions, including but not limited to the: consistency of formulation of both individual models of interfacial phenomena and of the combined interconnected models, impact of differences between the modeling approaches used for multiphase fluid mechanics and for heat transfer, impact of fluid property models, needs to accommodate mechanisms of different scales (both spatial and temporal) into single computational models, numerical stability and convergence, criteria for assessing the correctness of computational grid selection (which may be quite different from those for single-phase flows), and criteria to quantify modeling vs. computational uncertainties. The objective of this lecture is to present an overview of the issues mentioned above, and to discuss recommended solutions based on lessons learned to date. Fluid-mechanics models of multiphase flow will be discussed first, followed by heat transfer with phase change (including both boiling and condensation). The impact of coupling between these two groups of models will also be addressed.
North Dakota State University, USA
Time : 10:00-10:30
Mariusz Ziejewski is a Professor in the College of Engineering at North Dakota State University and he is also an Adjunct Professor in the Department of Neuroscience at the University of North Dakota School of Medicine. For over 35 years his research focus has been on human body biomechanics with an emphasis on the human brain. He has received research grants from the Department of Defense on cellular level brain modeling. He has consulted with the U S Air Force, army, and NHTSA. He has published four book chapters and over 125 technical refereed articles.
This presentation will be an overview of the educational and professional life of a university professor of Mechanical Engineering, researcher, and expert in his field. The presenter will demonstrate how a combination of events including life circumstances can dramatically change the direction of one’s career. The presenter will encourage attendees to not be fearful of those changes, but to embrace them as unknowns that have the potential to become exciting challenges that may enrich their careers. PowerPoint slides will illustrate the 40 year journey the presenter, has taken, from being a student of Mechanical Engineering in Poland to being an expert in traumatic brain injury (TBI) in the United States. The slides will also emphasize how the presenter followed a career path, but remained open to new opportunities, needs for research, communication, and technology that emerged along the way. Sometimes, professionals find themselves stuck in a career or reach the stage of burn-out. The goal of the presentation will be to motivate conference participants to continually look for new opportunities, where they can use their energy and talents, and to remember that their professional life does not have to be a linear path.
Simu Tech Group, USA
Time : 10:45-11:15
Rick James leads SimuTech Group’s team of 85 professionals who focus on simulation-driven product consulting, training and mentoring in structural, thermal, fluids, electrical, RF, electromechanical, signal integrity, drop test, and probabilistic design. He is an expert in FEA and CFD and has excelled as a consultant, expert witness, trainer, and leader. He has a BS and an MS in Mechanical Engineering and a DrEng in Engineering Management, all from Southern Methodist University in Dallas, Texas. He holds electrical and mechanical patents in semiconductor packaging and sits on the Board for Knowledge at Southern Methodist University’s Department of Mechanical Engineering.
One of the next eras of economic value from engineering simulation such as CFD and FEA will come from combining it with Industrial Internet of Things (IIoT) and digital twin (DT) methodologies. The simulation-based digital twin will help companies analyze smart machines in real-world operating conditions and make informed decisions that will improve their performance far above what is possible today. Physics-based and system simulations with big data analytics and industrial devices augmented with embedded intelligence can reduce risk, avoid unplanned downtime, and speed up new product development. The resulting efficiency and productivity gains will have a dramatic effect on an organization’s bottom line, as well as on the global economy. Engineering simulation has long been used to improve the design of nearly every type of physical product or process by evaluating multiple alternative designs before physical prototypes are built. Simulation has also been used for decades to model different operating scenarios to develop control strategies. These data and workflows can be incorporated into control algorithms to improve operations. The emerging IIoT has created the potential for a transformational voyage in which a product or process simulation model is tied, through the Internet, to sensors capturing data and to actuators controlling its operation. The digital twin of the physical product or process can be used to analyze, perform diagnostics and troubleshooting in real time, anticipate and communicate breakdowns, determine the optimal point to perform maintenance, tune the product to optimize its performance, and capture information that can be used to improve the next-generation design. The economic value is real and significant. There are fundamental core components that comprise a successful DT strategy, such as a full-fidelity simulation model that captures all multi-physics interactions; an IIoT platform such as GE’s Predix, Amazon’s AWS, or Microsoft’s Azure; a systems-level control over the simulation model (1-D logic layout), sensor data inputs into the IIoT platform; and a tool or method for creating a reduced-order model (ROM) of the simulation model. A CPU-intensive full-fidelity simulation model typically cannot be a component of digital twins because most simulation models require hours, days, or months of single-core CPU-equivalent solve time, thus the need for the ROM. The result is that a properly tuned digital twin can be used to substantially increase the performance and reliability of the product or process while reducing its operating cost. The digital twin methodology allows for less unplanned downtime, improved product development feedback, increased reliability, lower maintenance costs, and better predictive and prescriptive maintenance. This discussion will cover both conceptual and practical ideas about these core components in order to illuminate the overall economic opportunity, basic technical components, and workflows. Some of the likely obstacles to a successful implementation will be reviewed, such as how original equipment manufacturers (OEM) are not necessarily the same company using the equipment in downstream production. The importance of standards for data compatibility will be addressed. High-level protocols for the ROM will be suggested and combined with an overview of what a simple verification and validation (V&V) program could look like for an OEM to maximize the value and relevance of their simulation workflow and models.
George Washington University, USA
Time : 11:15-11:45
Michael W Plesniak is Professor and Chair of the Department of Mechanical and Aerospace Engineering at the George Washington University, with a secondary appointment in the Department of Biomedical Engineering. He earned his PhD degree from Stanford University and his MS and BS degrees from the Illinois Institute of Technology; all in Mechanical Engineering. He is a Fellow of AIAA, ASME, APS, AIMBE and AAAS. He has authored over 250 refereed archival publications, conference papers and presentations, and has presented numerous invited seminars and keynote addresses. He received the 2017 ASME Fluids Engineering Award.
Pulsatile flows, unsteady phenomena, coherent vortical structures, and transitional or turbulent flows at low Reynolds numbers occur in the human body. Examples of pathological blood flow in which unsteadiness, separation and turbulence are important include regurgitant heart valves, stenosis or blockages, stents, and arterial branches and bifurcations. Speech production involves unsteady pulsatile flow and turbulent structures that affect the aeroacoustics and fluid-tissue interaction. The overall goal of our cardiovascular-inspired research program is to understand secondary flow structures in arteries and to assess their potential impact on vascular health and disease progression. The richness of morphologies and physics of secondary flow vortical structures and their formation and subsequent loss of coherence during deceleration phases suggests implications related to the blood flow in diseased, stented and stent-fractured conditions. The goal of our human phonation research program is to investigate the dynamics of flow past the vocal folds (VF) and the aerodynamic interaction with the VF. Studies are performed under both normal and pathological conditions of speech. In particular, recent attention has been focused on understanding the aging voice. Our overarching motivation for studying flows relevant to biomedical applications is to facilitate evaluation and design of treatment interventions and for surgical planning, i.e. to enable physicians to assess the outcomes of surgical procedures by using faithful computer simulations.
North Carolina A&T State University, USA
Time : 11:45-12:15
Dr. Sankar is the Director for the NSF- ERC-RMB. Author of > 400 peer-reviewed articles, book chapters, and papers, Sankar as PI, has generated > $60 million of research funding, organized and sponsored more than 25 international conferences/symposia and has given more than 35 Plenary/Keynote addresses around the globe this millennium. Some of Sankar’s recognitions include the “White House Millennium Researcher”, the “Order of Long Leaf Pine” the highest civilian honor by the Governor of NC, USA., “O. Max Gardner Award”- the highest honor from the UNC 17 institutions System - for the greatest contributions to the welfare of the human race, Hind-Rattan Award on the eve of India’s Republic day, Fellow of AIMBE, NanoSMAT and NIA, NC/Triad Business Journal’s most influential (2009-2015), recognitions from ASME, ORNL/DoE etc, One of the first Distinguished University Professors at NCAT, Various editorial boards and State and National blue ribbon committees/Special addresses at major avenues such as the National Academies and, TV and news media numerous times including “Science Nation”.
The current National Science Foundation (NSF) - Engineering Research Center (ERC) is transforming the current medical and surgical treatments by creating "smart" implants for craniofacial, dental, orthopedic, cardiovascular, thoracic and neural interventions. The ERC is developing biodegradable metals with the premise that new kinds of implants can adapt to the human body and eventually dissolve when no longer needed, eliminating multiple surgeries and reduce health care costs. Magnesium based biodegradable systems offer significant therapeutic advantages over implants used today. Breakthrough activities include development, processing and testing of novel degradable alloy systems, new improved versions of existing clinical-use plates, screws and stents, innovative nanocoating technologies to yield special surface functionalities and methods to control implant corrosion, biocompatibility and improved bone growth. Additionally, the Mg based alloys are widely acknowledged to have enormous potential for lightweight structural applications, given their low density, high specific strength, good castability and better damping capacity. However, to actualize the widespread interest in Mg-alloys for light weighting applications, focused efforts are required to reach the strength, ductility, and corrosion resistance design end goals
The talk will specifically provide a scientific update on the various innovations, translation and trailblazing pathways for developing the biodegradable implants to light weighting applications through holistic University- Industry partnerships for economic ecosystem and commercialization
San Jose State University, USA
Time : 12:15-12:45
Fred Barez is a Professor of Mechanical Engineering at San Jose State University (SJSU). His research involves smart vehicles, advanced transportation, machine learning, cyber security, smart home and energy efficiency. He is also involved in space exploration and developing self-contained habitation modules for use in orbit or on planets. He is also Director of the Hybrid and Electric Vehicle Technology Laboratory where he is engaged in research related to advanced transportation including electric drive propulsion system, collision avoidance sensors and application, smart and driverless vehicles, vehicle mobile connectivity, vehicle cyber security, virtual driving, distracted driving, and autonomous vehicles through collaboration with industry. He teaches dynamic systems vibration and control, electronics packaging and design, hybrid and electric vehicle fundamentals, he has authored over 60 journal and conference publications, four book manuscripts and two book chapters. He has supervised 180 graduate student projects and theses. He is an active reviewer for several national and international publications related to energy, battery storage, energy efficiency and management, and smart sensors and devices. Prior to joining San Jose State University, he worked in Disk Drive Storage industry and was Co-Founder and Founder of two successful start-ups. He is a Member and Fellow of the American Society of Mechanical Engineers (ASME), a Member of the Society of Automotive Engineers (SAE), and Institute of Electrical and Electronics Engineers.
The surge of interest in space exploration to reach various planets in our galaxy would create opportunities for mankind to develop products and processes for low orbit and deep space long duration travels. In such cases, product malfunction in missions such as those to Mars may jeopardize the safety of the astronauts and termination of such missions. In this talk, a novel approach to develop in-situ manufacturing is developed in creating a workshop in orbit as a mobile repair and production center. The same workshop could be placed on the surface of a planet in preparation of establishing colonies of habitations. The approach taken in this study would require development of Modular Manufacturing Systems (MMS), where manufacturing process takes place in one and the astronaut as the supervisor will operate in the other in developing a solution for cost-effective placement of modular units in orbit for in-situ manufacturing. The self-contained modular units can be configured to meet payload transportation requirements, and to accommodate a wide range of space-based manufacturing needs. The MMS is designed to provide a safe in-situ environment for manufacturing and operational capabilities while meeting the challenges of outer space including radiation, temperature, and pressure contingencies. With current interest in long-term exploration of space including the creation of habitats on the Moon and Mars, MMS is designed to make all aspects of this endeavor possible cost effectively and safely. The MMS is constructed in the form of a cylindrical vessel that can be configured to contain one of many different sliding floor-mounted equipment assemblies. A functional manufacturing system consists of at least two such modules, one housing the astronauts with a sliding floor configured to provide the basic requirement of an astronaut such as life support system and environmental controls (temperature, pressure) as well as communications and control systems, and the adjoining modular to house a sliding floor containing the robotic machine fabrication equipment, raw materials and tooling. These two separate modules are connected such that the astronauts can safely supervise and control the manufacturing operation via visual through a viewing port as well as the cameras at various stages. This will allow astronauts to prepare set up, monitor and initiate automatic machining and fabrication of parts using tracked-robotic equipment. Since space-based manufacturing is a very new endeavor, astronaut safety must be a primary concern. The design of the MMS provides critical safety separation, override and supervision features. A modular manufacturing system could be configured to a variety of applications such as habitats for space travelers or a work/live environment for scientific/manufacturing space in providing a safe and sustainable habitat for deep space long duration missions.
- Design & Development of Rockets | Space Engineering | Energy Processing | Mechanics, Dynamics and Controls | Vehicle Systems and Technologies |Bio Engineering & Bio-Mechanics | Design and Modelling of Aircraft and Helicopter Engines | Robotics and Mechatronics | Material Processing
Location: Las Vegas, USA
Middle Tennessee State University, USA
National Taiwan University, Taiwan
Title: The localized method of approximated particular solutions-a mesh less approach for solving multidimensional in compressible Navier-Stokes equations
Time : 13:35–13:55
D L Young has completed his PhD from Cornell University and also did his postdoctoral studies at Cornell University School of Engineering. He is now the Emeritus Professor of National Taiwan University after teaching for 34 years. He has published more than 158 papers in reputed journals and has been serving as an Editorial Board Member of several SCI Journals.
This talk paper will focus on demonstrating that the localized method of Approximated Particular Solutions (LMAPS) is a stable, accurate and meshless numerical tool for simulating multidimensional incompressible viscous flow fields governed by the Navier-Stokes equations. Totally there are four numerical bench mark experiments conducted including interior and exterior flows: A two-dimensional lid-driven cavity flow problem, and a two-dimensional backward facing step problem. A further attempt to solve three-dimensional Navier-Stokes equations as the two-dimensional benchmark examples will be addressed and discussed as well. Throughout this talk, the LM APS has been tested by non-uniform point distribution, extremely narrow rectangular domain, internal flow, velocity or pressure driven flow and high velocity or pressure gradient, etc. All results are similar with results obtained by the finite element method (FEM) or other existing mesh- dependent methods such as finite difference method (FDM), FEM, finite volume method (FVM), etc. in the literature. And it is concluded that the LMAP S has high potential to be app lied to more complicate engineering applications as far as solving Navier-Stokes equations are concerned.
Middle Tennessee State University, USA
Time : 13:55–14:15
Vishwas N Bedekar has received his PhD degree from University of Texas at Arlington. He has several years of experience in synthesis and characterization of piezoelectric and magnetoelectric materials. He has also worked on carbon based nanomaterials and design and development of energy harvesting devices and systems. He is currently an Assistant Professor in the Department of Engineering Technology at Middle Tennessee State University. He has authored over 30 publications in peer reviewed journals, conference proceedings and conference presentations. He has authored two book chapters and is reviewer on 10 internationally circulated journals related to materials science research.
Magnetoelectric (ME) effect occurs when a change in magnetic field triggers stress in the magnetostrictive material which is then transferred to an adjacent ferroelectric material which generates voltage under direct piezoelectric effect. This product effect enables several sensing and energy harvesting applications. In this talk, we will present an overview of research on magnetoelectric phenomenon within nanoscale through bulk scale and explain the working principle of devices and systems. Particularly, we discuss advances in particulate ME composites, laminate ME composites, 3–1 ME composites. We also present development of piezoelectric and magnetostrictive composites as well as design and fabrication of ME devices. This study demonstrates importance of material selection, design of devices and its applications such as gradiometer and energy harvester.
Air Force Institute of Technology, USA
Title: Nonlinear Lyapunov control improved by an extended least squares adaptive feed forward controller and enhanced Luenberger observer
Time : 14:15–14:35
Matthew Cooper completed his M.S. in Electrical Engineering and M.S. in Aeronautical Engineering at the Air Force Institute of Technology and his B.S. in Electrical
Engineering at Penn State. He has worked as an Electrical Systems Integration Engineer at BAE Systems, as a Geospatial Intelligence Project Engineer at the
National Air and Space Intelligence Center, and is currently at the AFRL Advanced Laser Division.
Peter Heidlauf completed his M.S. in Aeronautical Engineering at the Air Force Institute of Technology and his B.S. in Mechanical Engineering at the Rose-Hulman
Institute of Technology. He is an Autonomous Control Aerospace Engineer at the AFRL Power and Control Division.
Three adaptive approaches for a non-linear feedforward controller are combined with and sinusoidal trajectory planners in a
spacecraft attitude control system. Physics-based feedforward control, trajectory generation, observers, feedback control, and
system stability are discussed in relation to the nonlinear dynamics under simulation. The adaptive feedforward controllers compared
include an adaptive controller, a Recursive Least Square (RLS) Method, and an Extended Least Squares (ELS) Method. A novel
approach to incorporate ELS in adapting an idealized feedforward controller was developed and compared to the standard RLS
optimal estimator. For a large slew maneuver, the controller configuration with ELS feedforward, PID feedback, and sinusoidal
trajectory outperformed the baseline adaptive controller. Mean error was decreased by 23.4%, error standard deviation by 34.0%, and
maximum error by 33.0%. Mean control effort was similar for all controller configurations. This improvement is due to corrections
for miss-modeled dynamics, which occur during spacecraft launch, collisions with debris, or due to fuel slosh and loose components
Florida Atlantic University, USA
Title: Development of continualized models for the analytical study of nanoplates in buckling and vibration: principles and perspectives
Time : 14:35–14:55
Florian Hache is pursuing third year of his PhD at Florida Atlantic University (USA) and University of South Brittany (France). He works on the development of analytical models to describe the mechanical behavior of carbon nanotubes and graphene nano-plates in vibration.
The aim of this presentation is to develop, through continualized processes, analytical models, more consistent than the well-known existing Eringen’s models for the study of the mechanical behavior in vibration and buckling of simply supported nano beams and nano-plates subjected to compressive forces. The nonlocal Eringen’s models are based on a phenomenological approach. Recent studies have shown that the inherent scale effects are captured by a small length scale coefficient, paradoxically varying with the geometry or the load. Using as a reference model the exact lattice model, the Eringen’s model is not consistent. It is suggested to develop new models based on continualization of the difference equations of the original lattice problem (labeled as continualized nonlocal models). A review of different continualization schemes is provided. Each of them is also supported by variational arguments giving an access to the boundary conditions. The buckling load and the natural frequencies obtained from each of the models were compared. Moreover, in contrast to the Eringen’s models, the continualized approach provides a small length-scale coefficient intrinsically constant, calibrated with respect to the element size of the microstructured structure. Consequently, the continualized approach supplants the traditionally used phenomenological Eringen’s approach. This presentation is the continuity of several papers published these last years and dealing with these issues.
Plasma Igniter, LLC, USA
Time : 14:55–15:15
Andrew D. Lowery has received degrees of Ph.D. (2012), M.S. in Mechanical Engineering (2006) B.S. in Computer and Electrical Engineering (2004) from West Virginia University. Currently, he is the Lead Scientist at Plasma Igniter, LLC His research in the areas of design and controls, electromagnetics, and engineering education, resulted in peer reviewed publications, including 19 conference proceedings and 10 articles and bound papers. Dr. Lowery is a member of the Institute for Electrical and Electronics Engineers, Society of Automotive Engineers, and Sigma Xi, The Scientific Research Society.
Considering the present global industrial landscape, the availability of fuel sources takes on an ever increasing importance. Fuel quantity, type, and availability have become an issue, as has the consistency in the blend and purity. This is a major strategic problem when our armed forces must scavenge for their fuel stocks while in a combat environment. One of the clear solutions is to provide combustion environments that will allow for the use of a variety and mixture of fuels all in the same engine.
What’s needed is a highly-energized ignition source that fills the combustion environment with a widely dispersed field of energy and more importantly that can be used as a diagnostic tool to vary the cycle-to-cycle process and adjust for the type and amount of fuel as well as the timing of the ignition.
The Quarter Wave Coaxial Cavity Resonator (QWCCR) plasma plug is a highly efficient microwave frequency voltage step-up device that is capable of heating and ionizing gases and igniting a wide variety of air fuel mixtures. It creates a high power density oscillating electromagnetic field with uniquely different ignition properties from that of a DC spark. By pumping this energy into the cylinder, this device energizes the air fuel mixture over a large ignition volume. Initial tests have demonstrated repeated cylinder ignition of an internal combustion engine using a QWCCR. This paper will describe the testing of the QWCCR plasma plug on a single dedicated test engine with a variety of fuels.
National Taiwan University, Taiwan
Time : 15:15–15:35
Hsiao Kang Kang Ma is Professor of Mechanical Engineering at National Taiwan University since 1987. Currently, he is Chairman of Taiwan Carbon Capture Storage and Utilization Association. He also hosts as the Advisor Board Member of ASPACC 2009-2015. His research is directed to energy systems and the associated environmental impacts with activity ranging from combustion to advanced energy systems. Research by him has been documented in over 200 publications. He was Research Engineer of Energy and Environmental Research Co. (Irvine) in 1985-87. He received the PhD degree from Mechanical Engineering Dept. of the University of Illinois at Chicago in 1985.
The eccentric blade rotor rotary engine is internally divided into a compression section, a combustion chamber, and a power section. Each rotor device of a compression/power section is made up of a rotor body and three swing blades. Each swing blade is pivotally connected to the rotor body and may swing about a pivot pin. The rotor body and the swing blades of the rotor device are each formed by jointing a left half and a right half. The left half and the right half have joint surfaces in which at least one recess is formed in an opposing manner to receive an elastic element. The elastic element provides an outward pushing force to the left half and the right half. Under the high temperature operation, the rotor body and the swing blades expand due to the heat and thus compress towards the center whereby sufficient looseness may be presented between the rotor body and the swing blades and a cylinder wall to ensure smooth operation. Each swing blade comprises a cylindrical roller mounted to a front end and a curved back, and each of the rollers is provided, at an inner side, with a support device that is capable of sustaining a counteracting force applied by a cylinder wall to the roller. Thus, the frictional force between the roller and the support device is reduced. Since this novel design delivers a more efficient engine that will help to reduce fuel consumption and CO2 emission in transportation industries.
Mr. Salwan Waheed was an Assistant Professor in Mechanical Engineering at Babylon University, Iraq and now he is pursuing his PH.D at University of Missouri, Columbia.
Drum brakes have dominated the braking industry for many years, and will most likely continue to do so for the foreseeable future due to their low cost and adequate operating performance. Basic equations for designing these brakes have been presented in college textbooks, while complicated analysis has been published using finite element methods to predict brake squeal and instability. This paper seeks to step away from the complexity of numerical models to consider the fundamental braking phenomenon of a single-shoe drum brake, using no dimensional, closed-form analysis and a Taylor series expansion to examine the effects of perturbing dimensionless design parameters. In conclusion this paper shows that the braking torque is dependent upon only four dimensionless groups, and that two of these groups dominate the physics of braking. Furthermore, it is shown that adjustments to these two dominating groups have a direct impact on the contact pressure between that shoe material and the brake drum, and that this pressure must be kept below the yield strength of the braking material in order to prevent a mechanical failure of the brake. Since the results are no dimensional, they are generally applicable to all single-shoe drum brakes having a design with mechanical features that are similar to the one analyzed in this paper. Taguchi optimization method is used to find the optimum design of that brake using largest the best of quality loss function.
Plasma Igniter, LLC, USA
Title: High level modelling and verification of in-cylinder diagnostics using a dual signal plasma Igniter
Time : 16:15-16:35
Andrew D. Lowery has received degrees of Ph.D. (2012), M.S. in Mechanical Engineering (2006) B.S. in Computer and Electrical Engineering (2004) from West Virginia University. Currently, he is the Lead Scientist at Plasma Igniter, LLC His research in the areas of design and controls, electromagnetics, and engineering education, resulted in peer reviewed publications, including 19 conference proceedings and 10 articles and bound papers. Dr. Lowery is a member of the Institute for Electrical and Electronics Engineers, Society of Automotive Engineers, and Sigma Xi, The Scientific Research Society
To become a viable solution, next generation ignition systems must utilize new strategies to provide significant environmental and economic benefits. Continuing to build on current ignition schemes using manipulations in timing, modified fuel injection methods, or minor physical design modifications will not be satisfactory. Next generation systems must include completely unique methods as compared to current spark plug systems.
One such solution being developed is the Coaxial Cavity Resonator Ignition System (CCRIS), a new approach to igniting fuel air mixtures, dramatically reducing energy consumption. At the core of this ignition system is the Quarter Wave Coaxial Cavity Resonator (QWCCR), a high-power microwave transformer capable of creating a low temperature plasma corona for the ignition of a variety of fuel mixtures.
What is also missing from these next generation systems is an equally novel method for on-board diagnostics. This microwave resonator technology can be used as both an ignition device, because of its ability to step up voltage and form a coronal plasma, and an in-cylinder sensing device, because of its inherent resonance structure.
High level modelling and verification has been performed to show how a dual signal plasma igniter can be used to determine resonance characteristics, in-cylinder density, compression ratio, crank shaft position, and misfire during the combustion process on a cycle-by-cycle basis.
Fundación Universitaria Los Libertadores, Colombia
Time : 16:35–16:55
Jorge Nisperuza is a Physical Engineer, Master's Degree in Physics and PhD in Physics from the Universidad Nacional de Colombia. He is currently a research professor at Fundación Universitaria Los Libertadores, Bogotá-Colombia, and is the director of the research group in Physics, Statistics and Applied Mathematics- FEMA. He has published several scientific articles in the field of theoretical physics, in the areas of Elementary Particle Physics and Cosmology. He has extensive teaching experience in courses: classical mechanics, electricity and magnetism, and mechanics and waves.
The Lagrangian formulation of classical mechanics provides a satisfactory description of many classical physical systems in particular the analysis of the movement of bodies gives the interacting forces and fields. In orbital mechanics and aerospace engineering, gravitational assist has been widely used in sending of probes through and outside the solar system, taking advantage of the impulse and / or gravitational braking caused by massive celestial bodies. In this work, using the Lagrangian formulation of classical mechanics, more specifically, the variational method involving the use of the Euler-Lagrange equations, we will explore analytically and through numerical simulation the optimal paths for the shipment of probes from the earth to different planets of the inner and outer solar system. Taking into account the orbital positions of the planets under consideration, several launch windows will be studied during the period 2018-2028, analytically optimizing them using the theoretical formulation previously indicated. As a result, simulations of the most energy and temporary efficiency paths will be shown.
Chung-Ang University, South Korea
Time : 16:55-17:15
Taejong Paik has completed his PhD from University of Pennsylvania, USA. He is the Assistant Professor of Chung-Ang University, South Korea. He has over 30 publications reported in high quality journals in a field of chemistry, including JACS, nano letters, and ACS nano, and his publication H-index is 18.
Recently, polydimethylsiloxane (PDMS) particles gained the attention as a polymeric matrix support for biomolecules and contrast agents due to their biocompatible, inert, and tolerance to a variety of fabrication methods. In this study, we synthesized the colloidal nanoparticles (NPs) with various monodisperse size distributions. Modified Stöber process has been tested to synthesize PDMS NPs by using dimethylsiloxane and tetraethyl orthosilicate as precursors. Ammonia was used to induce base-catalyst hydrolysis and condensation, forming dispersed nanocolloids. Chemical bond structure of PDMS was confirmed by FT-IR spectrums and EDS. The synthesized PDMS NPs exhibited an excellent colloidal stability in water. The particle size was readily tunable from approximately 90 nm to 300 nm in diameter by changing the concentration of monomers and catalyst. Furthermore, the cytotoxicity of siloxane-based PDMS NPs was evaluated by CCK-8 assay for all groups.