Dynamic CFD Simulation of Aircraft Recovery to an Aircraft Carrier

Shipman, Jeremy; Arunajatesan, Srinivasan; Cavallo, Peter A.; Sinha, Neeraj; Polsky, Susan

doi:10.2514/6.2008-6227

Cited by 18 publications

(5 citation statements)

References 4 publications

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“…CFD is normally used to simulate an aircraft in cruise conditions, not as it accelerates and maneuvers [22]. While some non-steady-state flight conditions such as recovery of an F-18 over a carrier deck [23] and a cargo airdrop from a C-130 [24] have been simulated with overset grid methods [25], longitudinal accelerations of an aircraft are still a challenge. In CFD, velocity changes to the fluid flow are introduced at one side of the meshed region and propagate across the region with time.…”

Section: Needed Capabilities and The State Of The Artmentioning

confidence: 99%

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Tuegel

Ingraffea

Eason

et al. 2011

International Journal of Aerospace Engineering

788

258

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Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented. The technical challenges to developing and deploying a Digital Twin are discussed in detail.

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Section: Needed Capabilities and The State Of The Artmentioning

confidence: 99%

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Tuegel

Ingraffea

Eason

et al. 2011

International Journal of Aerospace Engineering

788

258

View full text Add to dashboard Cite

show abstract

“…Due to its universal applicability, the dynamic‐mesh approach has found broad implementation in various sectors. Applied examples of the dynamic‐mesh module include aircraft projectiles 49, 50, ship motion 51, valve operation 52, wings dynamics 53, 54, rocket separation 55, parachute and balloon dynamics 56, heart valves 57, and bionic engineering 58. During the simulation, the motion of the mesh will cause the quality of the meshes to deteriorate (especially for structural meshes, like hexahedral meshes), such as the skewness of a mesh element, resulting in the simulation convergence to fail.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Hydrocyclone Geometry via Rapid Optimization Based on Computational Fluid Dynamics

et al. 2021

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Hydrocyclones exploit density gradients for the centrifugal separation of dispersions in a continuous liquid. Selection of the geometrics for optimal separation is case specific, like the media characteristics. The existing optimization method based on computational fluid dynamics (CFD) provides a powerful analytical tool but requires long computational times. The most common praxis for CFD optimization is via the single‐factor optimization method (SFOM). In this study, a novel approach is presented as an improved rapid optimization method that implements a dynamic‐mesh and user‐defined function optimization method (DUOM). The DUOM adapts the dynamic‐mesh approach from other applications to the optimization analysis of hydrocyclones. The DUOM reduced the computational time by 31.1 %, compared to the SFOM.

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“…Thus, CFD is normally used to simulate an aircraft in steady-state conditions, not as it accelerates and maneuvers [3]. While some non-steady state flight conditions such as recovery of an F-18 over a carrier deck [4] and a † † http://www.illinoisrocstar.com/Rocstar/Rocstar.shtml American Institute of Aeronautics and Astronautics 6 cargo airdrop from a C-130 [5] have been simulated with overset grid methods [6], longitudinal accelerations of an aircraft are still a challenge. Rocstar has the capability to generate and solve overset grid problems, but to fully explore whether or not this capability would allow the aircraft to virtually fly as envisioned required more time than was available for the study.…”

Section: The Virtual Flightmentioning

confidence: 99%

Challenges with Structural Life Forecasting Using Realistic Mission Profiles

Gockel¹,

Tudor²,

Brandyberry³

et al. 2012

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

64
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29
0

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Revolutionary developments in the way aircraft are managed and maintained while in service are needed to enable the U.S. Air Force to reduce its maintenance burden and increase aircraft availability while still ensuring airworthiness and safety. The Airframe Digital Twin (ADT) is envisioned to be an ultra-realistic, cradle-to-grave computer model of an aircraft structure that is used to assess the aircraft's ability to meet mission requirements. The ADT will virtually fly each flight that the physical aircraft flies in order to determine loading and subsequent damage. This paper presents results of a study to assess the current state of the art of performing such a virtual flight. A simplistic ADT was "flown" through a Touch-and-Go practice using the flight parameters recorded during the flight. Technical gaps preventing the full realization of the ADT vision were identified along with alternative approaches that are possible with current technology. Nomenclatureg's g = gravitational acceleration constant, ft/sec 2 p = roll rate, rad/sec q = pitch rate, rad/sec r = yaw rate, rad/sec u = velocity in the x-direction, ft/sec v = velocity in the y-direction, ft/sec w = velocity in the z-direction, ft/sec φ = roll Euler angle θ = pitch Euler angle ψ = yaw Euler angle ω i = angular velocity about the i-axis, rad/sec ̇ = derivative of x with respect to time

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Dynamic CFD Simulation of Aircraft Recovery to an Aircraft Carrier

Cited by 18 publications

References 4 publications

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Analysis of Hydrocyclone Geometry via Rapid Optimization Based on Computational Fluid Dynamics

Challenges with Structural Life Forecasting Using Realistic Mission Profiles

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