Browse Topic: Mathematical analysis

Items (283)
The current effort presents novel investigations of rotor-wake–surface interactions for the Dragonfly lander, NASA's rotorcraft lander to explore Titan. The numerical framework couples unsteady RANS with blade-element and virtual disk rotor models and a coupled Lagrangian particle tracking method to examine rotor–ground interactions and brownout. Simulations span a range of complexity, from isolated rotor benchmarks and rotor pairs to full eight-rotor configurations without a fuselage and the eight-rotor configuration with a simplified Dragonfly fuselage. To quantify model fidelity and near-ground shear, blade-resolved simulations of the isolated rotor are performed using Spalart–Allmaras and Reynolds Stress turbulence models with vorticity confinement, demonstrating that virtual blade models under-predict tip-vortex strength and local inflow distortion but reproduce wall shear reasonably well, whereas blade-resolved RSM solutions yield higher peak shear levels relevant to brownout prediction. These findings improve understanding of planetary rotorcraft aeromechanics and sediment transport in ground-effect while supporting ongoing efforts to assess environmental risks for Dragonfly operations and inform multi-rotor VTOL design for terrestrial applications.
Asiatico, JacksonMarques, MichaelKinzel, MichaelLorenz, Ralph
This paper investigates an output-based approach for tiltrotor whirl flutter bifurcation analysis. The approach uses free decay output data for a quantity of interest at various forward speeds to estimate the system's recovery rate to equilibrium while capturing its variation with amplitude. The recovery rate is then extrapolated to predict the bifurcation diagram, which gives the limit-cycle oscillation amplitude for the quantity of interest as a function of the forward speed. The approach is demonstrated using output data from transient simulations of a notional tiltrotor model with polynomial structural nonlinearities. The approach accurately predicts the tiltrotor whirl flutter speed and limitcycle oscillation amplitudes while only requiring two free decays. This approach can facilitate whirl flutter bifurcation analyses of tiltrotor systems exhibiting nonlinear dynamics.
Gali, Sai VishalRiso, Cristina
ABSTRACT In this work, iced rotors are studied to develop insight in the potential of acoustics-based ice detection. Based on the HMB CFD solver, approximate iced shapes are used and results are analyzed using the FW-H method. Several candidate monitoring positions are assessed for acoustic sensors to be placed on the helicopter fuselage. The influence of ice on the aero-acoustic characteristics of a rotor is calculated, and parameters such as the ice amount and the icing position on the blade are quantified.
Chen, XiBarakos, GeorgeZhao, Qijun
The engineering model determining the onset of Vortex Ring State (VRS) was applied to eVTOL aircraft, and the effect of different landing trajectories and aircraft drag was investigated. Next, the new model to compare the VRS susceptibility according to the different blade geometries and trajectories is proposed by extending Ahlin & Brown's model to incorporate the two-dimensional thrust and inflow distribution on the rotor disc. For validation, two different trajectories crossing the boundary of the onset of the VRS were simulated, and the results were compared with the Vorticity Transport Method (VTM). Furthermore, the disturbance distribution of moderately and highly twisted blades are compared. The extended model can capture the physical phenomena by the distribution of the disturbances and reflect the effect of blade geometries and trajectories. It is essential to investigate the model further through a correlation analysis using experiments or numerical analysis.
Jeong, TaeminYee, KwanjungHong, Yoonpyo
This paper investigates a sliding-window matrix pencil method for predicting flutter points and limit-cycle oscillation amplitudes of nonlinear aeroelastic systems that experience whirl flutter. The approach applies the matrix pencil method to a short time window that slides along the free decay of a quantity of interest, quantifying the variation in the system's recovery rate to equilibrium with amplitude. The recovery rates at each amplitude and various forward speeds are extrapolated to predict the critical forward speed of zero recovery rate at those amplitudes. This process yields a set of limit-cycle oscillation solutions that can be visualized as a bifurcation diagram. The approach is demonstrated using output data from transient simulations of a propeller-nacelle test case with hardening structural nonlinearities. The impact of each parameter in the sliding-window matrix pencil method is first characterized via sensitivity analyses. Next, the bifurcation diagram is predicted using the recovery rates for the optimal parameter values. The results are compared with direct time marching and with the extrapolation of recovery rates estimated from envelope functions. The proposed method accurately captures the bifurcation diagram using two pre-flutter transient simulations with no need for envelope functions. This approach shows promise for output-based bifurcation analysis of nonlinear aeroelastic systems exhibiting limit-cycle oscillations associated with whirl flutter.
Warren, TheodoreRiso, Cristina
Helicopters in high-speed forward flight often generate High-Speed Impulse (HSI) noise, presenting a major challenge for noise control and narrowing the range of helicopter use. This paper proposes a novel method for active noise reduction by adjusting the rotor diameter length, effectively delaying HSI noise onset and reducing HSI noise impact. Utilizing the CLORNS solver and the Ffowcs Williams-Hawkings (FW-H) equation, this approach was tested on the AH-1G rotor through simulation analysis. The study simulated the rotor's dynamic diameter length changes, analyzing the effect of crucial parameters on the sound field. Results indicate that this method significantly controls the production of rotor high-speed pulse noise, achieving a noise reduction of up to 2dB at critical operational points. This research aids in formulating specific rotor noise control laws and expands the range of scenarios for helicopter usage.
Ding, YanZhao, GuoqingWang, BoZhao, QijunChen, Xi
ABSTRACT
Bao, WeichengChen, XiSun, DazhiZhao, QijunSun, Dazgu
The numerical analysis of the three-dimensional (3D) flow over a National Advisory Committee for Aeronautics (NACA) 6321 airfoil to evaluate the mass flow rate by using a novel method Improved Blowing and Suction System (IBSS) to control the boundary layer is presented in this study. Analysis is performed based on 3D Reynolds-Averaged Navier-Stokes (RANS) equation with a K-omega SST solver. The aerodynamic performance of the NACA 6321 is analyzed at a Mach number of 0.10 with three different mass flow rates, namely, 0.08 kg/s, 0.10 kg/s, and 0.12 kg/s. From the study, it is seen that when the mass flow rate decreased, the aerodynamics performance also reduced, and the aerodynamic performance improved with the increase in mass flow rate. Results also show that a mass flow rate of 0.10 kg/s improved the stalling angle of attack (AoA) by 60% and coefficient of lift (CL) by 50%, enabling optimum efficiency of the aircraft wing in all aspects compared to the baseline airfoil model. The mass flow for optimum efficiency is computed based on the velocity at the separation point on the airfoil.
Karuppiah, BalajiWessley, Jims John
Joint Calibration of Dual LiDARs and Camera Using a Circular Chessboard2020-01-00984/14/2020
Environmental perception is a crucial subsystem in autonomous vehicles. In order to build safe and efficient traffic transportation, several researches have been proposed to build accurate, robust and real-time perception systems. Camera and LiDAR are widely equipped on autonomous self-driving cars and developed with many algorithms in recent years. The fusion system of camera and LiDAR provides state-of the-art methods for environmental perception due to the defects of single vehicular sensor. Extrinsic parameter calibration is able to align the coordinate systems of sensors and has been drawing enormous attention. However, differ from spatial alignment of two sensors’ data, joint calibration of multi-sensors (more than two sensors) should balance the degree of alignment between each two sensors. In this paper, we assemble a test platform which is made up of dual LiDARs and one monocular camera and use the same sensing hardware architecture as intelligent sweeper designed by our laboratory. Meanwhile, we propose the related joint calibration method using a circular chessboard. The center of circular chessboard is respectively detected in camera image to get pixel coordinates and in point cloud of LiDAR to get 3D coordinates. The calibration problem is then converted into a 3D-2D PnP matching problem and the center of the chessboard is set as corresponding points to construct the geometric constraints to get initial calibration values. Further, a proper global loss function is elaborately designed for Levenberg-Marquardt nonlinear optimization to obtain the final calibration parameters, and then the extrinsic parameters between any two sensors are estimated simultaneously. Experimental results show that the proposed method is suitable for the joint calibration of fusion system composed of LiDARs and camera, and the calibration results have high accuracy and stability.
Deng, ZhenwenXiong, LuYin, DongShan, Fengwu
Abstract Transient numerical simulations are conducted over a NACA 0012 airfoil with triangular protrusions at a Reynolds number (Re) of 100000 using the γ-Reθ transition Shear Stress Transport (SST) turbulence model. Protrusions of heights 0.5%c, 1%c, and 2%c are placed at one of the three locations, viz, the leading edge (LE), 5%c on the suction surface, and 5%c on the pressure surface, while the angle of attack (AOA) is varied between 0° and 20°. Results obtained from the time-averaged solution of the unsteady Navier-Stokes equation indicate that the smaller protrusion placed at 5%c on the suction surface improves the post-stall lift coefficient by up to 59%, without altering the pre-stall characteristics. The improvement in time-averaged lift coefficients comes with enhanced flow unsteadiness due to vigorous vortex shedding. For a given protrusion height, the vortex shedding frequency decreases as the AOA is increased, while the amplitude of fluctuations in lift coefficient increases as the protrusion height is increased or as the AOA is increased. Nevertheless, mitigation of static stall phenomena is observed for most configurations investigated, and this finding can be beneficial for the design of Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs). The enhancement in the vortex shedding frequencies due to triangular protrusion can be utilized for Vortex-Induced Vibrations (VIVs)-based energy generators.
Bodavula, AsleshaYadav, RajeshGuven, Ugur
Development of a CFD Solver for Primary Diesel Jet Atomization in FOAM-Extend2019-24-01289/9/2019
Ongoing development of a CFD framework for the simulation of primary atomization of a high pressure diesel jet is presented in this work. The numerical model is based on a second order accurate, polyhedral Finite Volume (FV) method implemented in foam-extend-4.1, a community driven fork of the OpenFOAM software. A geometric Volume-of-Fluid (VOF) method isoAdvector is used for interface advection, while the Ghost Fluid Method (GFM) is used to handle the discontinuity of the pressure and the pressure gradient at the interface between the two phases: n-dodecane and air in the combustion chamber. In order to obtain highly resolved interface while minimizing computational time, an Adaptive Grid Refinement (AGR) strategy for arbitrary polyhedral cells is employed in order to refine the parts of the grid near the interface. Dynamic Load Balancing (DLB) is used in order to preserve parallel efficiency during AGR. The combination of isoAdvector-GFM-AGR-DLB presents a unique framework for diesel jet atomization. The developed numerical framework is preliminarily tested on the Engine Combustion Network (ECN) Spray D geometry and conditions. The unstructured, mostly hexahedral grid is used with the base cell size of 40 micrometres. Four refinement levels are used in the close proximity of the interface in order to attempt to resolve break-up of droplets. The finest cells near the interface have the size of 2.5 micrometres. Part of the nozzle is also considered in the simulation in order to capture the developed jet profile at the entry into the combustion chamber. The temporal evolution of the jet is presented, along with the preliminary comparison of droplet statistics with available results.
Vukcevic, VukoKeser, RobertJasak, HrvojeBattistoni, MicheleIm, HongRoenby, Johan
Empirical Investigation on the Effects of Rolling Resistance and Weight on Fuel Economy of Medium-Duty Trucks02-12-03-00168/28/2019
Abstract Vehicle rolling resistance and weight are two of the factors that affect fuel economy. The vehicle tire rolling resistance has a more significant influence than aerodynamics drags on fuel economy at lower vehicle speeds, particularly true for medium- and heavy-duty trucks. Less vehicle weight reduces inertia loads, uphill grade resistance, and rolling resistance. The influence of weight on the fuel economy can be considerable particularly in light- to medium-duty truck classes because the weight makes up a larger portion of gross vehicle weight. This article presents an empirical investigation and a numerical analysis of the influences of rolling resistance and weight on the fuel economy of medium-duty trucks. The experimental tests include various tires and payloads applied on a total of 21vehicle configurations over three road profiles. These tests assessed the sensitivity of the vehicle’s fuel economy toward rolling resistance and weight. Several experimental results showed inconsistent and counterintuitive trends of the effects of rolling resistance coefficients and weights on fuel economy. The consequences of rolling resistance and vehicle payload are compound and influenced by vehicle speed, road profile, and tire pressure. The irregularities of weight variances’ impact on rolling resistance requires further investigation in the strain level of the tire deformation.
Liao, Gene Y.Card, BrandonO’Malley, Molly
This paper presents an experimental-numerical investigation on the axial strain of highly-curved blades. Models of the blades were analyzed using a 2-D finite element code, SectionBuilder, coupled with a comprehensive analysis code, Dymore, and first validated using strain measurements under a static tip load. Frequency responses were obtained under an impulsive load for each of the blades with multiple boundary conditions and compared with the numerical models. Experimental measurements under centrifugal loading from 0 up to 3300 RPM in a vacuum showed the effect of curvature on the axial strain, with significant bending strains observed in the responses for the curved blades that were also well captured by the numerical analysis. The present analysis shows that even moderate levels of out-of-plane curvature significantly increases the strain magnitudes, while higher levels of in-plane curvature have a much smaller impact.
Sinotte, TylerBauchau, Olivier
Project BloStEr (Block Structures - Mechanical joining innovations to replace conventional fasteners in aerostructures) is being realized within consortium between PZL Mielec and research partner Lublin University of Technology. In the project, a new approach for mechanical assembling of thin - walled structures is being realized by developing geometry of shaped connections for joining different materials. The scope of work cover 3 configurations of joints: metal + metal (aluminum alloys), metal + composite (hybrid) and composite + composite. The main idea is to eliminate or reduce connecting elements like rivets, screws, adhesives, or welding. The design of this approach required these mechanical connections to be analyzed using FEM (Finite Element Method) tools and verified numerical models in laboratory tests. In parallel with the design task the technology limitations have been studied for manufacturing of thin-wall integral elements made of carbon woven composites using autoclave technology, dedicated tooling and appropriate polymerization parameters. A critical element is the achieving the desired shape accuracy to get optimal connection properties.
Login, WaldemarDylewski, Andrzej
Dynamic stall is a highly complex phenomenon characterized by unsteady massive separated flow. It limits the flight envelope of helicopters by generating vibrations and large dynamic loads which can lead to fatigue and structural failure of blades. Dynamic stall involves several mechanisms which make the numerical prediction of stall difficult and the understanding of the phenomenon still incomplete. A loose coupling methodology between a Computational Fluid Dynamics and a Comprehensive Analysis codes is used to simulate the problem. Three stalled flight conditions have been selected in the wind tunnel 7A rotor test data to investigate the RPM effect on the dynamic stall onset and the related mechanisms. The lower the RPM, the more severe the stall is. A double stall has been observed on the lowest RPM case. The coupled simulations are in satisfactory agreement with experiment and are used to identify the mechanisms leading to stall. Simulations indicate that the blade-vortex interaction is an important factor in triggering the different stall events in these configurations.
Castells, CamilleRichez, FrançoisCostes, Michel
Aerodynamic interactions between the rotor and the empennage can have a significant impact on steady and unsteady loads and often result in challenges in a rotorcraft design phase. In the present work, numerical analysis of rotor-empennage aerodynamic interactions were compared to full-scale flight test data with respect to steady and unsteady interactional aerodynamic effects. The flight tests provided loads for a low-empennage and a T-Tail configuration for various forward flight velocities. For the T-Tail configuration, additional pressure sensors provided validation data for steady and unsteady interaction effects. The numerical analysis was focused on an unsteady panel method, complemented by high-fidelity CFD/CSM-coupling results for a level flight state. Furthermore, a supplemental validation of the unsteady panel method was performed against an isolated wing-vortex interaction experiment. The flight test data revealed a strong asymmetry in mean empennage loads, which increases with forward flight velocity. The numerical analysis showed coherent results with a slight over-prediction in high-speed. The T-Tail configuration is furthermore subject to 3D effects between the vertical- and horizontal tail. These effects influence pressure and load-distributions on the T-Tail, which was captured by both numerical methods. The general characteristics of the unsteady pressure signatures were captured by both methods. The panel method showed slightly better representation of amplitude.
Rinker, MarkusRies, TobiasPlatzer, StefanUhl, GregoryHajek, ManfredEmbacher, Martin
An Improved Multi-Pedestrian Tracking System Based on Deep Neural Network2019-01-10554/2/2019
The intelligent vehicle driverless technology has become a very hot topic in the past two decades. To solve the road safety problem, which is one of the most important factors inhibiting the development of intelligent vehicle technology, the multi-target tracking system has attracted more and more attention in recent study since it can detect and track multiple objects in traffic scene so as to help the whole driving system plan the safe route. In this work, a novel multi-pedestrian tracking system based on deep neural network is proposed to improve the tracking efficiency while providing high recognition accuracy. The proposed tracking system consists of two parts: 1) pedestrian detector, and 2) pedestrian tracker. For the detector part, we first transform the image convolution operation in spatial-temporal domain to the coefficient product operation in complex frequency domain, and then replace the maximum pooling and mean pooling operation in the traditional SSD detection network by the proposed product operation, and the modified SSD model is used as the pedestrian detector. For the tracker part, we train a corresponding appearance model and calculate the appearance similarity of the detected targets between the continuous frames with respect to the cosine distance. To evaluate the performance of our proposed system, we implement the system on the MOT16 benchmark. The detector can improve tracking accuracy by up to 8.9% and the tracker updates the speed of whole system at a rate of 126Hz, our extensions reducing the number of identity switches by 15%. The experimental results demonstrate that the proposed multi-pedestrian tracking system provides better real-time performance and accuracy than the state-of-the-art methods, which can provide more accurate object information for the following auto-driving system with higher safety.
Gong, YuanChi, JianningYu, XiaoshengWu, ChengdongZhang, YifeiGao, Na
ABSTRACT Helicopter Emergency and Medical Service (HEMS) requires a specially designed cabin interior that can transport patients quickly to a full capacity hospital. During the transportation, a medical crew sustains the health condition of the patients using life-support equipments, hence the quality and safety of the service may depend on the vibratory level experienced by patients and crew. However, the bare dynamical response of the airframe can lead to erroneous evaluation of vibratory level and exposure. In fact crew, patients and medical equipments, ı.e. subjects of HEMS, dynamically interact with the helicopter through interfaces such as seats, handles, stretchers and flexible supports. For this reason, the design of a low vibration HEMS vehicle requires numerical analysis of the coupled helicopter-interface-subject system, and the capability to effectively and efficiently run the analysis for a large set of possible configurations to achieve optimal positioning. A viable tool should be able to formulate high-fidelity rotorcraft aeroservoelasticity, easily connect additional dynamical systems representing the dynamics of human and equipment and their interfaces, and calculate the vibration performance of the resulting models. This work presents an effective way of evaluating the vibratory performance of medical helicopters. The approach is illustrated on a medium weight helicopter by adding dynamical models of a human resting on a seat, a recumbent person lying on a stretcher, and medical equipment mounted on flexible supports at its ends.
Tamer, AykutMuscarello, VincenzoMasarati, PierangeloQuaranta, Giuseppe
A Simulation Model for a Tandem External Gear Pump for Automotive Transmission2018-01-04034/3/2018
This paper describes a simulation approach for the modeling of tandem external gear pumps. A tandem gear pump is the combination of two pumps with a common drive shaft. Such design architecture finds application in certain automotive transmission systems. The model presented in this work is applicable for pumps with both helical and spur gears. The simulation model is built on the HYGESim (HYdraulic GEars machines Simulator) previously developed by the authors for external spur gear units. In this work, the model formulation is properly extended to the capabilities of simulating helical gears. Starting directly from the CAD drawings of the unit, the fluid-dynamic model solves the internal instantaneous tooth space volume pressures and the internal flows following a lumped parameter approach. The simulation tool considers also the radial micro-motion of the gears, which influences the internal leakages and the features of the meshing process. The paper details how these aspects are modeled considering that both drive gears share a common shaft. The paper also presents the comparison of the simulation results with experimental data from tests performed on a physical tandem unit, showing how the model is able to accurately predict the performance of both units.
Ransegnola, Thomas M.Vacca, AndreaMorselli, Mario AntonioKowalski, AndrzejMuizelaar, Richard
Efficient Procedure for Robust Optimal Design of Aerospace Laminated Structures2017-01-20589/19/2017
Innovative aircraft design studies have noted that uncertainty effects could become significant and greatly emphasized during the conceptual design phases due to the scarcity of information about the new aero-structure being designed. The introduction of these effects in design methodologies are strongly recommended in order to perform a consistent evaluation of structural integrity. The benefit to run a Robust Optimization is the opportunity to take into account uncertainties inside the optimization process obtaining a set of robust solutions. A major drawback of performing Robust Multi-Objective Optimization is the computational time required. The proposed research focus on the reduction of the computational time using mathematic and computational techniques. In the paper, a generalized approach to operate a Robust Multi-Objective Optimization (RMOO) for Aerospace structure using MSC software Patran/Nastran to evaluate the Objectives Function, is proposed. A Multi-Objective Differential Evolution Algorithm with a K-NN surrogate model and named MODE-LD+SS-KNN, is used. The robust evaluation is obtained via a Quasi Monte Carlo Method using Sobol sequence (QMCM), the uncertainties due to material and manufacturing process are modeled via Composite Micromechanics Theory. Example of applications presented include the optimization process for a composite flat plate for minimum weight and maximum uniaxial buckling load. The proposed approach is compared with classical Robust Multi-Objective Optimization method in terms of computational time and a reduction up to one order of magnitude has been pointed out. The computational time reduction makes the Robust Optimization a more suitable choice in comparison with non-Robust Optimization when uncertainty should be included in the optimization loop.
Noziglia, FrancescoRigato, PaoloCestino, EnricoFrulla, GiacomoArias-Montano, Alfredo
ABSTRACT Helicopter reaches its flight domain limit at high-thrust forward flight or maneuver with high load factors because of dynamic stall. This phenomenon is due to complex unsteady three-dimensional flow separation mechanisms that occur on the retreating blade. These flow separations can be of different natures depending on the flight conditions. This paper proposes to investigate numerically two significantly different cases of dynamic stall on a helicopter rotor in forward flight. The results show that the numerical simulation can capture the variations of section pitching moment associated with dynamic stall, for each of these two flight cases. A deep analysis of the numerical results allows to identify distinct flow separation regions appearing on the rotor disk. Similarities and differences are highlighted between the dynamic stall characteristics of these two rotor flight conditions.
Richez, François
Bifurcation Analysis of a Car Model Running on an Even Surface - A Fundamental Study for Addressing Automomous Vehicle Dynamics2017-01-15893/28/2017
The paper deals with the bifurcation analysis of a simple mathematical model describing an automobile running on an even surface. Bifurcation analysis is adopted as the proper procedure for an in-depth understanding of the stability of steady-state motion of cars (either cornering or running straight ahead). The aim of the paper is providing the fundamental information for inspiring further studies on vehicle dynamics with or without a human driver. The considered mechanical model of the car has two degrees of freedom, nonlinear tire characteristics are included. A simple driver model is introduced. Experimental validations of the model are produced. As a first step, bifurcation analysis is performed without driver (fixed control). Ten different combinations of front and rear tire characteristics (featuring understeer or oversteer automobiles) are considered. Steering angle and speed are varied. Many different dynamical behaviors of the model are found. Homoclinic bifurcations, stable and unstable limit cycles are found, giving a sound base of knowledge to control engineers who are asked to implement robust algorithms to reach stability. As a second step, bifurcation analysis is performed including the driver control action. Straight ahead motion is studied. Limit cycles exist that may suggest how complicated may be controlling the stability of such relatively simple running condition. The knowledge of the derived set of bifurcations seems important to fully understand the actual vehicle yaw motions occurring while running on an even surface and for conceiving robust control schemes for autonomous vehicles.
Mastinu, GiampieroDella Rossa, FabioGobbi, MassimilianoPreviati, Giorgio
Development of a Fork-Join Dynamic Scheduling Middle-Layer for Automotive Powertrain Control Software2017-01-16203/28/2017
Multicore microcontrollers are rapidly making their way into the automotive industry. We have adopted the Cilk approach (MIT 1994) to develop a pure ANSI C Fork-Join dynamic scheduling runtime middle-layer with a work-stealing scheduler targeted for automotive multicore embedded systems. This middle-layer could be running on top of any AUTOSAR compliant multicore RTOS. We recently have successfully integrated our runtime layer into parts of legacy Ford powertrain software at Ford Motor Company. We have used the 3-core AURIX multicore chip from Infineon and the multicore RTA-OS. For testing purposes, we have forked some parallelizable functions inside two periodic tasks in Ford legacy powertrain software to be dynamically scheduled and executed on the available cores. Our preliminary evaluation showed 1.3–1.4x speedups for these two forked tasks. It also showed that this runtime layer scales well to the available cores and that it abstracts away the details involved in load balancing and inter-core communications from programmers. This paper outlines our preliminary design and results of evaluating the dynamic scheduler approach for powertrain control software on multicore chips. This work is ongoing research and this paper presents challenges such as meeting deadlines, reliability, and safety that arise when adopting dynamic scheduling for such time and safety-critical software.
Sadeh, WaseemRawashdeh, OsamahBurkard, DonaDobbins, KelvinLockwood, TonyBulmus, Atilla
Review and Assessment of Frequency-Based Fatigue Damage Models2016-01-03694/5/2016
Several popular frequency-based fatigue damage models (Wirsching and Light, Ortiz and Chen, Larsen and Lutes, Benascuitti and Tovo, Benascuitti and Tovo with α.75, Dirlik, Zhao and Baker, and Lalanne) are reviewed and assessed. Seventy power spectrum densities with varied amplitude, shape, and irregularity factors from Dirlik’s dissertation are used to study the accuracies of these methods. Recommendations on how to set up the inverse fast Fourier transform to synthesize load data and obtain accurate rainflow cycle counts are given. Since Dirlik’s method is the most commonly used one in industry, a comprehensive investigation of parameter setups for Dirlik’s method is presented. The mean error and standard deviation of the error between the frequency-based model and the rainflow cycle counting method was computed for fatigue slope exponent m ranging from 3 to 12. The results showed Ortiz and Chen, Benascuitti and Tovo with α .75, Larsen and Lutes, Dirlik, and Benascuitti and Tovo to be significantly more accurate than Lalanne and Zhao and Baker. These five models have a tendency for the error variation to increase as the fatigue exponent m increases. For this study using Dirlik’s seventy spectra, Ortiz and Chen, Benascuitti and Tovo with α .75, and Larsen and Lutes Single Moment methods had lower mean error than Dirlik’s method.
Quigley, John P.Lee, Yung-LiWang, Liang
Experimental and Numerical Analysis for a Urea-SCR Catalytic Converter2016-01-09734/5/2016
Urea-SCR (Selective Catalytic Reduction) systems are getting a lot of attention as the most promising NOx reduction technology for heavy-duty diesel engine exhaust. In order to promote an effective development for an optimal urea-SCR after-treatment system, it is important to clarify the decomposition behavior of the injected urea and a detailed reaction chemistry of the reactants on the catalyst surface in exhaust gases. In this paper we discuss experimental and numerical studies for the development of a numerical simulation model for the urea-SCR catalyst converter. As a first step, in order to clarify the behavior of reductants in an urea-SCR converter, two types of diagnostic technique were developed; one is for measuring the amount of NH3, and the other is for measuring the amount of total reductants including unreacted urea and iso-cyanic acid. These techniques were applied to examine the behavior of reductants at the inlet and inside the SCR converter. This revealed i) urea to NH3 conversion rates and spatial distributions of reductants at the inlet of the catalyst, and ii) temporal and spatial profiles of urea to NH3 conversion inside the catalyst. Secondly, we developed a urea-SCR reaction model with detailed surface chemistry for the NH3-NO/NO2 reacting system over a Fezeolite catalyst, which is combined with a simple reaction model for urea-decomposition reactions. The reaction parameters of the urea-decomposition model were determined by the urea to NH3 conversion rates and spatial distributions of reductants, which were directly measured at the inlet and inside the catalyst converter mentioned above. This model successfully predicted gas emissions (such as NOx and NH3) from urea-SCR converters under various vehicle-test conditions.
Yamauchi, TakafumiTakatori, YoshikiFukuda, KoichiroMaruyama, Masatoshi
This technique for compensating the gravitational attraction experienced by a test-mass freely floating onboard a satellite is new, and solves an important problem that all gravitational wave missions face. Its application to the geostationary Laser Interferometer Space Antenna (gLISA) mission concept addresses and completely solves an important noise source: the gravity-gradient noise.
Numerical Investigation of Streamwise Vortex Interaction2015-01-25739/15/2015
Streamwise vortices can be observed to interact in a number of real world scenarios. Vortex generators operating in boundary layers, as well as aircraft flying in formation can produce vortex interactions with multiple streamwise vortices in close proximity to each other. The tracking of these vortex paths as well as the location and nature of their breakdown is critical to determining how the structures can be used to aid flow control, and how large scale turbulence develops from them. Six configurations of two NACA0012 vanes were evaluated computationally to observe the interactions of a pre-existing vortex with a vortex generated downstream. Co and counter-rotating configurations at three different lateral spacings were used to vary vortex position and impingement on the rear vane. RANS testing of all configurations revealed that the strength of the downstream vortex in the co-rotating case was largely unaffected by the presence of the upstream vortex, while the counter-rotating case saw a reduction in vortex strength of up to 30%. LES simulations to better understand the flow mechanisms exhibit the Crow instability in the counter-rotating case and a helical merging pattern in the co-rotating condition. These findings show that multiple vortex generators can be used to re-energize vortices, allowing far longer vortices than commonly achieved in fields such as flow control. The outcomes indicate that accurate positioning of counter-rotating vortex pairs to cause the premature destruction of undesirable vortices is possible.
Forster, Kyle J.Barber, TracieDiasinos, SammyDoig, Graham
Spray Characteristics and Inside Flow of a Marine Diesel Injector2015-01-18389/1/2015
The spray characteristics and inside flow of a marine diesel injector were investigated both experimentally and numerically. From the experiments, we observed that the penetration of the sprays in the early injection stage gradually increases. This phenomenon differs significantly from that of the small automobile diesel injector, in which penetration increases linearly with time. Using the momentum method to obtain injection rate measurements, we observed an injection rate spike at each injection event just after the injection began. The observed spray results show that the small portion of fuel remaining inside the nozzle from the previous injection event is ejected first, and then the main volume of fuel is ejected. Both fuels accumulate as spray droplets and gradually accelerate after the early injection stage. Numerical simulations of the injector's inside flow show that the fuel injection rate becomes saturated in needle lifts larger than 0.3 mm. Cavitation can be observed around the needle seat for smaller needle lifts. A larger cavitation area appears around the needle seat during the lifting movements than during the closing movements of the same needle lift. The difference in the injection amount from each of the five nozzle holes varies by approximately 8% because of the differences in the inside flow. As the deflection angle between the sac and nozzle hole greatly influences the flow around the entrance area and inside the nozzle holes, the discharge coefficient decreases in the nozzle holes with a larger deflection angle.
Yokobe, SumitoOda, TetsuyaOhsawa, KatsuyukiSumi, TakahiroSugata, ShuheiYabuta, Keiichiro
Numerical Investigation of the Effect of Microchannel Evaporator Design on the Performance of Two-Phase Ejector Automotive Air Conditioning Cycles2015-01-03624/14/2015
Much attention has been given in recent years to the use of two-phase ejectors and particularly to the performance of the standard ejector cycle with a liquid-vapor separator. However, this cycle may not be the best choice for automotive applications due to the large size required by an efficient separator as well as the cycle's performance at conditions of lower ejector potential. A limited amount of recent research has focused on alternate two-phase ejector cycles that may be better suited for automotive applications. One of these cycles, using the ejector to allow for evaporation at two different temperatures and eliminating the need for a separator, will be the subject of investigation in this paper. Previous investigations of this cycle have been mainly theoretical or experimental; this paper aims to provide a numerical analysis of the effect of evaporator design on the performance of the ejector cycles. In this paper, a numerical model of a microchannel evaporator is developed and incorporated into thermodynamic models of the standard and alternate two-phase ejector cycle. R134a is used as the working fluid, though the results could be expanded to R1234yf due to the similar properties of the two fluids. Data from the authors' previous experimental investigation of the alternate ejector cycle is used to validate the numerical model. The evaporator model for the alternate cycle is modified to allow for two different evaporation temperatures. The effect of the ratio of low-temperature to high-temperature evaporator area on the performance of the cycle is explored, and comparison is made between the performance of the alternate ejector cycle and the standard ejector cycle. The effect of operation at conditions of lower ejector potential, or reduced ejector efficiency, on the performance of the ejector cycles is also investigated, and both cycles are compared to a baseline cycle without an ejector in order to obtain a realistic idea of the improvement that can be achieved with ejector air conditioning cycles. It is seen that evaporator design, not just ejector design, can have a significant effect on the COP of ejector cycles.
Lawrence, NealElbel, Stefan
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