52 research outputs found
ECOM: a fast and accurate solver for toroidal axisymmetric MHD equilibria
We present ECOM (Equilibrium solver via COnformal Mapping), a fast and
accurate fixed boundary solver for toroidally axisymmetric magnetohydrodynamic
equilibria with or without a toroidal flow. ECOM combines conformal mapping and
Fourier and integral equation methods on the unit disk to achieve exponential
convergence for the poloidal flux function as well as its first and second
partial derivatives. As a consequence of its high order accuracy, for dense
grids and tokamak-like elongations ECOM computes key quantities such as the
safety factor and the magnetic shear with higher accuracy than the finite
element based code CHEASE [H. L\"utjens \textit{et al.}, Computer physics
communications 97, 219 (1996)] at equal run time. ECOM has been developed to
provide equilibrium quantities and details of the flux contour geometry as
inputs to stability, wave propagation and transport codes.Comment: 25 pages, 9 figure
Turbulent momentum pinch of diamagnetic flows in a tokamak
The ion toroidal rotation in a tokamak consists of an flow due to
the radial electric field and a diamagnetic flow due to the radial pressure
gradient. The turbulent pinch of toroidal angular momentum due to the Coriolis
force studied in previous work is only applicable to the flow. In
this Letter, the momentum pinch for the rotation generated by the radial
pressure gradient is calculated and is compared with the Coriolis pinch. This
distinction is important for subsonic flows or the flow in the pedestal where
the two types of flows are similar in size and opposite in direction. In the
edge, the different pinches due to the opposite rotations can result in
intrinsic momentum transport that gives significant rotation peaking.Comment: 5 pages and 3 figure
Theoretical study of ion toroidal rotation in the presence of lower hybrid current drive in a tokamak
Thesis (Ph. D.)--Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (pages 175-182).In this thesis, the effect of the lower hybrid current drive on ion toroidal rotation in a tokamak is investigated theoretically. Lower hybrid frequency waves are utilized to drive non-inductive current for steady state tokamaks and ion toroidal rotation is used to control disruptions and improve confinement. It has been observed in many tokamaks that lower hybrid waves can change the ion toroidal rotation. These measurements indicate that it may be possible to control rotation with lower hybrid waves, but to do it, it is necessary to understand the mechanisms underlying the rotation change. The toroidal angular momentum injected by the lower hybrid waves initiates acceleration in the the counter-current direction. The parallel and perpendicular components of the toroidal angular momentum are transferred from the waves to ions through electrons via two different channels, and the ions obtain the full toroidal angular momentum injected by the lower hybrid waves after several ion collision times. The momentum transferred to the ions is transported out by turbulent radial transport. The radial transport of toroidal angular momentum is evaluated using gyrokinetics corrected to the higher order in poloidal rhostar. The higher order corrections lead to momentum redistribution even in the absence of rotation, which is called intrinsic momentum transport. The intrinsic momentum transport due to diamagnetic effects is an important piece of the radial momentum transport. The change in the steady state rotation due to lower hybrid waves is estimated theoretically by evaluating the momentum source, the momentum pinch and diffusion, and the intrinsic momentum transport. The effect of the current profile on the intrinsic momentum transport, which is modified by the lower hybrid wave, may explain the reversal of the rotation change from counter-current direction to co-current direction observed in low plasma current discharges in Alcator C-Mod.by Jungpyo Lee.Ph.D
The preliminary study of severity level of structural discontinuities in paraffin grain of hybrid propellant rocket
The paper addresses experimental characterization of instant shape of paraffin grain with predefined structural discontinuity in process of combustion and its possible influence on structural integrity of hybrid propellant motor. The one-port paraffin grains with and without artificial crack were subjected to combustion in a hybrid propellant test-motor and considerable discrepancies of temperature on external surface of the non-cracked and the cracked grains were detected. Elevated temperature on the external surface of cracked grain was caused by fast evolution of the crack in direction of motor’s casing during combustion process. Thus, it was shown that crack formation causes a local overheating of structural casing that may subsequently jeopardize structural integrity of the motor
Haptic search with the Smart Suction Cup on adversarial objects
Suction cups are an important gripper type in industrial robot applications,
and prior literature focuses on using vision-based planners to improve grasping
success in these tasks. Vision-based planners can fail due to adversarial
objects or lose generalizability for unseen scenarios, without retraining
learned algorithms. We propose haptic exploration to improve suction cup
grasping when visual grasp planners fail. We present the Smart Suction Cup, an
end-effector that utilizes internal flow measurements for tactile sensing. We
show that model-based haptic search methods, guided by these flow measurements,
improve grasping success by up to 2.5x as compared with using only a vision
planner during a bin-picking task. In characterizing the Smart Suction Cup on
both geometric edges and curves, we find that flow rate can accurately predict
the ideal motion direction even with large postural errors. The Smart Suction
Cup includes no electronics on the cup itself, such that the design is easy to
fabricate and haptic exploration does not damage the sensor. This work
motivates the use of suction cups with autonomous haptic search capabilities in
especially adversarial scenarios
Initial Analysis of Data-Driven Haptic Search for the Smart Suction Cup
Suction cups offer a useful gripping solution, particularly in industrial
robotics and warehouse applications. Vision-based grasp algorithms, like
Dex-Net, show promise but struggle to accurately perceive dark or reflective
objects, sub-resolution features, and occlusions, resulting in suction cup grip
failures. In our prior work, we designed the Smart Suction Cup, which estimates
the flow state within the cup and provides a mechanically resilient
end-effector that can inform arm feedback control through a sense of touch. We
then demonstrated how this cup's signals enable haptically-driven search
behaviors for better grasping points on adversarial objects. This prior work
uses a model-based approach to predict the desired motion direction, which
opens up the question: does a data-driven approach perform better? This
technical report provides an initial analysis harnessing the data previously
collected. Specifically, we compare the model-based method with a preliminary
data-driven approach to accurately estimate lateral pose adjustment direction
for improved grasp success
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