A Study on Pipeline Shape Correction Method Using Position and Orientation Information of the Beginning and End of a Pipeline

Author(s):  
Hiroto SATO ◽  
Kousuke UHIYAMA ◽  
Fumio ITO ◽  
Manabu OKUI ◽  
Rie NISHIHAMA ◽  
...  
2017 ◽  
Vol 9 (4) ◽  
pp. 839-860 ◽  
Author(s):  
Tongqing Guo ◽  
Di Zhou ◽  
Zhiliang Lu

AbstractIn this paper, a double-passage shape correction (DPSC) method is presented for simulation of unsteady flows around vibrating blades and aeroelastic prediction. Based on the idea of phase-lagged boundary conditions, the shape correction method was proposed aimed at efficiently dealing with unsteady flow problems in turbomachinery. However, the original single-passage shape correction (SPSC) may show the disadvantage of slow convergence of unsteady solutions and even produce nonphysical oscillation. The reason is found to be related with the disturbances on the circumferential boundaries that can not be damped by numerical schemes. To overcome these difficulties, the DPSC method is adopted here, in which the Fourier coefficients are computed from flow variables at implicit boundaries instead of circumferential boundaries in the SPSC method. This treatment actually reduces the interaction between the calculation of Fourier coefficients and the update of flow variables. Therefore a faster convergence speed could be achieved and also the solution stability is improved. The present method is developed to be suitable for viscous and turbulent flows. And for real three-dimensional (3D) problems, the rotating effects are also considered. For validation, a 2D oscillating turbine cascade, a 3D oscillating flat plate cascade and a 3D practical transonic fan rotor are investigated. Comparisons with experimental data or other solutions and relevant discussions are presented in detail. Numerical results show that the solution accuracy of DPSC method is favorable and at least comparable to the SPSC method. However, fewer iteration cycles are needed to get a converged and stable unsteady solution, which greatly improves the computational efficiency.


2013 ◽  
Vol 7 (2) ◽  
pp. 182-189 ◽  
Author(s):  
M. Peña-Cabrera ◽  
◽  
V. Lomas-Barrie ◽  
I. López-Juárez ◽  
R. Osorio-Comparán ◽  
...  

The article presents a method for obtaining the contour of an object in real time from non-binarized images for recognition purpose. The contour information is integrated into a descriptive vector named BOF used by a FuzzyARTMAP Artificial Neural Network (ANN) model to learn the object and then recognize it later. In this way, it is possible to obtain a learning process regarding the location and recognition of parts; to communicate to a robot arm the position and orientation information of an object for assembly purposes. Other method to obtain contour using binarized images, is compared with the described method in this paper in order to implement and test both in a Field Programmable Gate Array (FPGA) architecture. Since an ANN can be implemented more efficiently in a parallel structure such as FPGA architecture can supply, it is desirable to implement an efficient algorithm for obtaining the object contour in the same way.


Author(s):  
Tie Chen ◽  
Kush Patel ◽  
Peter Millington

Rotating blades of steam turbines are subjected to unsteady forces due to the presence of both wakes and potential field from the upstream stationary blades. These forces are strongly influenced by both axial gap and blade count ratio. The combined effects of these parameters are studied for 120 scenarios covering the normal design space. The calculated unsteady forces are transformed into harmonic components using a Fourier transform. Each harmonic component is correlated to both axial gap and blade count ratio to provide guidance for preliminary blade design. This study uses an in-house non-linear time marching CFD code TF3D-VIB, which adopts a Shape Correction method to manage an arbitrary blade count ratio using a single passage. Consequently it is one-order more efficient than a conventional multiple passage method.


PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0220502
Author(s):  
Jeppe H. Christensen ◽  
Peter J. Bex ◽  
József Fiser

2021 ◽  
Vol 32 (12) ◽  
pp. 125014
Author(s):  
Ya-ming Tian ◽  
Jie Xiong ◽  
Gang Wang ◽  
Cheng Jiang ◽  
Sheng Zhang ◽  
...  

Author(s):  
H. D. Li ◽  
L. He

Prediction of blade forced response and flutter is of great importance to turbomachinery designers. However, calculations of unsteady turbomachinery flows using conventional time-domain methods typically would lead to the use of multi-passage/whole-annulus domains due to the required direct periodic condition. This makes numerical computations extremely time-consuming and is one of the major difficulties for nonlinear unsteady calculations to be applied in a blading design environment. A single-passage approach to three-dimensional unsteady Navier-Stokes calculations using the Fourier-series based Shape-Correction method has been developed, and been applied to analyze inlet distortion driven response and flutter of a transonic fan rotor (NASA Rotor-67). The key feature is that the Shape-Correction method enables a single-passage solution to unsteady flows in blade rows under influences of multiple disturbances with arbitrary inter-blade phase angles. The results show that the single-passage solution can capture deterministic unsteadiness as well as time-averaged flows in good agreement with conventional multi-passage solutions, while the corresponding computing time can be reduced dramatically.


PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212141 ◽  
Author(s):  
Jeppe H. Christensen ◽  
Peter J. Bex ◽  
József Fiser

High speed machines and mechanisms are often studied from a sequence of images obtained from high speed videography. The use of markers printed or attached on moving parts can greatly assist in tracking the moving parts. We present the design of a marker suitable for planar motion analysis of mechanism. The marker is designed to make the task of image processing computationally less intensive so as to make real time motion analysis practical. Rosenfeld equivalence table algorithm is used to segment the input image. The new geometry of marker facilitates automatic tracking and provides both position and orientation information. Hu invariant moments are used for recognition of the marker shape in the segmented image. Markers are uniquely identified on the basis of a text code that is placed in a designated location with respect to the marker geometry. In this method, the bounding box for the text code is computed. Knowing the orientation of the marker and therefore the text orientation, it is possible to transform the sub- image, containing the text, so that the text is aligned horizontally. This will permit a standard OCR routine to read the text code. The motion of various moving parts in image sequence can be easily inferred once the position and orientation of each of the marker is known


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