Shuto Yatsuyanagi, Takashi Furusawa, S. Yamamoto, Takuo Onodera, S. Tomioka
{"title":"Numerical Investigation of Supercritical N-Dodecane Flows in a Heated Circular Pipe With Thermal Cracking","authors":"Shuto Yatsuyanagi, Takashi Furusawa, S. Yamamoto, Takuo Onodera, S. Tomioka","doi":"10.1115/fedsm2021-65261","DOIUrl":"https://doi.org/10.1115/fedsm2021-65261","url":null,"abstract":"\u0000 Supercritical n-dodecane (C12H26) flows in heated circular pipes with thermal cracking were numerically investigated using a numerical preconditioning method for solving the compressible Navier–Stokes equations. The reaction rate constants for thermal cracking of n-dodecane were determined using Cantera. The thermophysical properties of pure n-dodecane and its decomposed components were calculated using the Helmholtz free-energy equation of state. The outlet temperatures agreed well with experimental results, and the maximum error was 3.2%. The outlet temperature increased with the wall temperature condition, although the rate of increase became slightly smaller when the wall temperature was high. We discussed the relationship between the wall temperature condition and heat transfer in terms of thermal diffusivity in the radial direction. We also compared the radial distributions with those of n-octane (C8H18) in terms of temperature, thermal diffusivity, and mass fraction of unreacted fed hydrocarbons. Thermal cracking mainly occurred in a high-temperature region near the heated wall. The density of the decomposed components was much lower than that of n-dodecane and n-octane, resulting in a significant decrease in the mixture’s density near the heating wall. The decomposed components affected the supercritical hydrocarbon flows owing to changes in their thermophysical properties. The thermal diffusivity due to the decomposed components and turbulence affects the temperature distributions and mass fraction in n-dodecane and n-octane flows. Finally, we compared the outlet conversion rates of n-dodecane and n-octane flows.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wing Flutter Analysis Using Computational Fluid-Structure Interaction Dynamics","authors":"Jeremy Pohly, Mike R. Zhang, Sijun Zhang","doi":"10.1115/fedsm2021-61453","DOIUrl":"https://doi.org/10.1115/fedsm2021-61453","url":null,"abstract":"\u0000 Wing flutter plays a significant role in the performance and life of lifting surfaces such as aircraft wings. It is an instability that causes the wing to no longer be capable of damping out random vibration, and it occurs at the point called the critical speed. Currently, the determination of this critical speed poses a large challenge for aircraft designers, as there is no method that can quickly calculate the conditions that will cause the wing flutter instability. This paper presents wing flutter analyses using computational fluid-structure interaction dynamics. The computed results reveal the potential speed and accuracy of the computational method, which will allow designers to rapidly determine whether their vehicle will be capable of operating safely within its design envelope.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121184377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Zope, A. Schemmel, Xiao Wang, S. Bhushan, Prashant Singh, E. Luke
{"title":"Assessment of Predictive Capability of Hybrid RANS/LES Turbulence Models for Thermofluid Applications","authors":"A. Zope, A. Schemmel, Xiao Wang, S. Bhushan, Prashant Singh, E. Luke","doi":"10.1115/fedsm2021-65808","DOIUrl":"https://doi.org/10.1115/fedsm2021-65808","url":null,"abstract":"\u0000 In this study, we have assessed performance of URANS model, various hybrid RANS/LES turbulence models such as detached eddy simulation, Nichols-Nelson HRLES model, dynamic HRLES (DHRL) model, as well as LES for two classes of problems: (a) heat transfer due to subsonic swirling flow subjected to a sudden expansion leading to cylindrical chamber, and (b) flow separation due to oblique shock wave-turbulent boundary layer interaction (STBLI). The results are assessed using the heat transfer characteristics, separation and reattachment characteristics, and capability to predict flow unsteadiness. The study indicates that URANS can predict large scale flow features reasonably well. However, it fails to resolve turbulence. PANS improves TKE prediction, hence, improves heat transfer prediction. Among the hybrid RANS/LES models, DHRL coupled with ILES is capable of providing accurate prediction of flow separation/reattachment characteristics for boundary layer flows. For free-shear dominated flows, implicit LES performs better compared to the explicit LES models.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125470405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lamees I. El Nihum, P. Chinnadurai, C. H. Lin, D. Banerjee
{"title":"A Comprehensive Review of 4D Flow MRI and CFD in Cardiovascular and Congenital Heart Disease","authors":"Lamees I. El Nihum, P. Chinnadurai, C. H. Lin, D. Banerjee","doi":"10.1115/fedsm2021-65886","DOIUrl":"https://doi.org/10.1115/fedsm2021-65886","url":null,"abstract":"\u0000 A growing population of adults with congenital heart disease (CHD) has spurred increased study in recent decades into the complex anatomical vasculature of congenital heart patients and the resulting hemodynamic changes that progressively affect the heart and great vessels. To this end, assessment of flow dynamics using advanced imaging technology and computational simulations have paved a path toward greater understanding of the patterns and implications of flow alterations in complex and changing vasculature, and offer promise for diagnostic and therapeutic intervention in the future. The focus of this review is to describe past studies of four-dimensional (4D) magnetic resonance imaging (MRI) and computational fluid dynamics (CFD) in the literature as related to pathophysiology of the heart in structural and CHD. This review will highlight the importance of working with both imaging and simulation technology to co-validate experimental (4D MRI) and simulation (CFD) models, allowing for more accurate depiction of flow dynamics within human vasculature and ultimately toward improvement of the tools and methodologies used in analysis, simulation and prediction of cardiovascular hemodynamics toward enhanced diagnostics and therapeutic intervention.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129765183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jose Terrazas, Arturo Rodríguez, Vinod Kumar, Richard Adansi, V. Kotteda
{"title":"Three-Dimensional Two-Phase Flow Simulations of Water Braking Phenomena for High-Speed Test Track Sled","authors":"Jose Terrazas, Arturo Rodríguez, Vinod Kumar, Richard Adansi, V. Kotteda","doi":"10.1115/fedsm2021-65799","DOIUrl":"https://doi.org/10.1115/fedsm2021-65799","url":null,"abstract":"\u0000 Specializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses a process called ‘water braking’ as a method to bring vehicles at the test track to a stop. This method takes advantage of the higher density of water, compared to air, to increase braking capability through momentum exchange. By studying water braking using Computational Fluid Dynamics (CFD), forces acting on track vehicles can be approximated and prepared for prior to actual test. In this study, focus will be made on the brake component of the track sled that is responsible for interacting with the water for braking. By discretizing a volume space around our brake, we accelerate water and air to relatively simulate the brake engaging. The model is a multi-phase flow that uses the governing equations of gas and liquid phases with the finite volume method, to perform 3D simulations. By adjusting the inflow velocity of air and water, it is possible to simulate HHSTT sled tests at various operational speeds. In the development of the 3D predictive model, convergence issues associated with the numerical mesh, initial/boundary conditions, and compressibility of the fluids were encountered. Once resolved, the effect of inflow velocities of water and air on the braking of the sled are studied.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134233907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aeroacoustic Analysis of a UAV Propeller Operable at Various Altitudes","authors":"Ji-Hun Song, S. Jang, Youn-J. Kim","doi":"10.1115/fedsm2021-65363","DOIUrl":"https://doi.org/10.1115/fedsm2021-65363","url":null,"abstract":"\u0000 With technological development and the wide application range of unmanned aerial vehicles (UAVs), the regulation of UAV altitude limits in many countries is further alleviated, and the problem of UAV noise pollution has emerged with the recent advent of urban air mobility (UAM) and personal air vehicle (PAV) markets. In this study, one typical propeller, the T-motor 15 × 5 propeller, was analyzed by use of the commercial CFD software, ANSYS FLUENT V19.3. The effects of gravity and convection were analyzed to determine the noise characteristics at altitude using the FW-H equation. A high-altitude drone, which operates at heights from 0 to 10 km with 1,000 to 5,000 revolutions per minute, was analyzed using the steady-state k-ω SST turbulence model. And using the steady-state data to initialize values, an unsteady analysis was performed with the LES turbulence model. The time step was divided based on the 1-degree rotational time, and the velocity residual on each axis was calculated until a value of 10−7 or less was achieved and there was no fluctuation of thrust, at which point it was considered converged. The CFD results were validated with the experimental results for thrust and their results show that the maximum error was 8.64%. The overall sound pressure level was calculated, and noise characteristics in the audible frequency range according to receiver points were also compared. Through this study, thrust and noise data according to altitude were provided. The aerodynamic and aeroacoustic characteristics at high-altitudes, which are generally difficult to measure by experiment, are also presented. Therefore, the appropriate operating altitudes and rotational speeds will be presented through the aeroacoustics analysis corresponding to operational altitude, and the basic research data can then be applied to upcoming unmanned aircraft system (UAS) market.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical Analysis on the Flow Bifurcation and Heat Transfer Regulation in the Constricted Cavity Under the Transverse Magnetic Field Using OpenFOAM","authors":"Ranjit J. Singh, T. Gohil","doi":"10.1115/fedsm2021-61944","DOIUrl":"https://doi.org/10.1115/fedsm2021-61944","url":null,"abstract":"\u0000 In this study, the heat transfer pattern and flow bifurcation in the fluid is observed by the application of low intensity magnetic field in the gradually constricted cavity. The natural convection flow solver with Lorentz force and Boussinesq approximation as a source term is developed in the open-source CFD platform OpenFOAM. The Lorentz force in the flow is altered by varying the Hartmann number of Ha = 0 – 100, however the buoyancy force is kept constant in the flow at fixed Rayleigh number of Ra = 106. The orientation of magnetic field is exposed to be in the y-direction (By). The significance of using the By magnetic field with its various intensity in the constricted enclosure on the heat transfer and flow pattern is reported. It is perceived that the transverse magnetic field (By) and its varying intensity regulates the heat transfer with multiple convection rings. The detail study on the isotherms, streamlines, and the time average Nusselt number is reported.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arturo Rodríguez, Jose Terrazas, Richard Adansi, V. Kotteda, J. Munoz, Vinod Kumar
{"title":"Causal Inference Analysis to Find Relationships Found in Boundary-Layer Transition – Part I: Theoretical","authors":"Arturo Rodríguez, Jose Terrazas, Richard Adansi, V. Kotteda, J. Munoz, Vinod Kumar","doi":"10.1115/fedsm2021-61843","DOIUrl":"https://doi.org/10.1115/fedsm2021-61843","url":null,"abstract":"\u0000 Understanding the transition from laminar to turbulent flow – Boundary-Layer Transition (BLT), we can design better state-of-the-art vehicles for defense and space applications, which can mitigate the limitations in current high-speed temperature conditions. BLT is a subject of fluid flow disturbances created by geometric parameters and flow conditions, such as surface roughness, increased velocity, and high-pressure fluctuations, to name a few. These disturbances lead to the development of turbulent spots and differential heating. Historically, the Reynolds number has been used to predict whether a system will develop turbulent flow. However, it has been known for decades that it is not always reliable and cannot indicate where the BLT will occur: some experiments present scenarios where the flow is laminar at a high Reynolds number and vice versa. We can predict the BLT from performing physical experiments, but they are expensive and physical configurations are limited. Despite many community efforts and successes, no general computational solution to simulate different flows and vehicle types that fully incorporate BLT exists. Many are a considerable number of parameters that affect BLT. Therefore, we use Causal Inference to predict BLT by cause-and-effect analysis on multivariate data obtained from BLT studies. Data generated using high-fidelity Computational Fluid Dynamics (CFD) with resolved Large-Eddy Simulations (LES) scales, will be analyzed for turbulence intensity by decomposing velocity in mean and fluctuations. In this paper, we will be discussing approaches on how we predict BLT scenarios using cause and effect relationships driven by causal inference analysis.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132438987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CFD Simulation of COVID Aerosol Dispersion in Indoor Environments","authors":"Mohammed Abushamleh, Ning Zhang","doi":"10.1115/fedsm2021-65877","DOIUrl":"https://doi.org/10.1115/fedsm2021-65877","url":null,"abstract":"\u0000 Computational Fluid Dynamics simulations for the droplet’s dispersion generated by a cough in an indoor background, droplets trajectory, and evaporation time are predicted to be related to the droplet’s diameter and relative humidity. In general, medium-size droplets have higher axial penetration potential, and large droplets tend to settle on the ground due to gravity. Also, larger droplets take a longer time to evaporate. Smaller droplets tend to be suspended in the flow field with small penetration potential and tend to fade faster; smaller droplets < 20 μm evaporate completely before the simulation time reaches 0.75 sec. To study the effect of Relative Humidity (RH) on the evaporation rate, in particular, the present study offers three simulations, all with the same standard room conditions, only differ in relative humidity s 40%, 60%, and 90%. Another source of variability is the cough-expired volume. This study adopts existent experimental work to establish two cough flow rate profiles. The Lagrangian discrete phase model is adopted along with the species model to track and investigate the cough droplet dispersion and evaporation.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124808511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Three-Dimensional Phase Field Based Nonorthogonal Multiple-Relaxation-Time Lattice Boltzmann Method for Interface Tracking","authors":"Shengyuan Zhang, Jun Tang, Huiying Wu","doi":"10.1115/fedsm2021-65509","DOIUrl":"https://doi.org/10.1115/fedsm2021-65509","url":null,"abstract":"\u0000 Based on a conservative Allen-Cahn phase field method, a three-dimensional nonorthogonal multiple-relaxation-time (MRT) lattice Boltzmann (LB) model for interface tracking in multiphase flow is proposed in this paper. Different from the traditional MRT LB model, the transformation matrix in the present model is constructed based on a set of nonorthogonal basis vectors to simplify the transformation process between the discrete velocity space and the moment space. Therefore, a higher computational efficiency is achieved by the present model. The present model is developed on two different three-dimensional lattice sets (D3Q19 and D3Q27) to obtain a thorough perspective about the performance of the nonorthogonal matrix. Coupled with the nonorthogonal transformation matrix, simplified discrete source terms are also developed for both two lattice sets to further improve the efficiency of the present model. Numerical tests demonstrate that compared with the traditional MRT LB model, the present model shows a significantly higher computational efficiency and better stability while maintaining a comparable accuracy. It is also found that the D3Q19 nonorthogonal model does not obviously weaken the accuracy of D3Q27 nonorthogonal model while D3Q27 nonorthogonal model dose not decrease the stability of the D3Q19 nonorthogonal model, which is different from the orthogonal model.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127834740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}