Coupled Thermal and Fluid Mechanical Modeling of a High Speed Motor Spindle

2017 ◽  
Vol 871 ◽  
pp. 161-168
Author(s):  
Lukas Koch ◽  
Julian Müller ◽  
Gordana Michos ◽  
Johannes Paulus ◽  
Markus Hubert ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Finite Element Method ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Comparative Analysis ◽  
Simulation Model ◽  
High Speed ◽  
Simulation Models ◽  
Mechanical Analysis ◽  
Mechanical Modeling

The objective of this survey is to evolve a better understanding of the complex thermal interactions inside a motor spindle. Therefore, the thermal behavior is investigated based on a simulation model and experiments. In contrast to existing simulation models, which either performed a complex thermal examination or an elaborate flow-mechanical analysis, a thermal (Finite Element Method) and fluid mechanical (Computational Fluid Dynamics) coupled simulation model was developed. Based on a comparative analysis, the usability of the currently available boundary conditions is scrutinized.

Resistance Predictions for Asymmetrical Configurations of High-Speed Catamaran Hull Forms

2015 ◽  
Author(s):  
Srikanth Asapana ◽  
Prasanta K. Sahoo ◽  
Vaibhav Aribenchi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Comparative Analysis ◽  
High Speed ◽  
Public Domain ◽  
Literature Survey ◽  
Historical Background ◽  
Resistance Analysis ◽  
Separation Ratio ◽  
Hull Forms

This paper attempts to undertake a comparative analysis of resistance characteristics between newly developed asymmetrical catamaran hull forms which were derived from existing conventional NPL series of round bilge catamaran hull forms by Molland, Wellicome and Couser (1994). A set of asymmetrical catamaran hull forms with waterline length of 1.6 m with a separation ratio (s/L) of 0.4 were generated by using standard modelling software. The resistance analysis had been carried out by using STAR CCM+, a computational fluid dynamics package for Froude numbers of 0.25, 0.30, 0.60, 0.80 and 1.0. Literature survey indicates that there is scant historical background in public domain to perform resistance analysis on asymmetrical catamaran hull forms. As this is not feasible due to lack of data in areas that were considered crucial, separate resistance analysis is carried out for each hull configuration. Finally, the compared resistance results will attempt to conclude whether asymmetrical catamaran hull forms are more efficient than the conventional catamaran hull forms.

An Assignment Procedure from Particles to Mesh that Preserves Field Values

2019 ◽  
Vol 17 (02) ◽  
pp. 1850130 ◽  
Author(s):  
Daniel Duque ◽  
Pep Español
Keyword(s):  
Fluid Dynamics ◽  
Finite Element Method ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Velocity Field ◽  
Cfd Simulation ◽  
Vortex Sheet ◽  
The Finite Element Method ◽  
Particle In Cell ◽  
Field Information

In computational fluid dynamics there have been many attempts to combine the advantages of having a fixed mesh, on which to carry out spatial calculations, with using particles moving according to the velocity field. These ideas in fact go back to particle-in-cell methods, proposed about 60 years ago. Of course, some procedure is needed to transfer field information between particles and mesh. There are many possible choices for this “assignment”, or “projection”. Several requirements may guide this choice. Two well-known ones are conservativity and stability, which apply to volume integrals of the fields. An additional one is here considered: preservation of information. This means that assignment from the particles onto the mesh and back should yield the same field values when the particles and the mesh coincide in position. The resulting method is termed “mass” assignment, due to its strong similarities with the finite element method. Several procedures are tested, including the well-known FLIP, on three scenarios: simple 1D convection, 2D convection of Zalesak’s disk, and a CFD simulation of the Taylor–Green periodic vortex sheet. Mass assignment is seen to be clearly superior to other methods.

Large-scale computational fluid dynamics by the finite element method

1994 ◽  
Vol 18 (11) ◽  
pp. 1083-1105 ◽  
Author(s):  
W. G. Habashi ◽  
M. Robichaud ◽  
V.-N. Nguyen ◽  
W. S. Ghaly ◽  
M. Fortin ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Finite Element Method ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Large Scale ◽  
The Finite Element Method ◽  
Element Method

An Investigation of the Structural Integrity of a Reactor Pressure Vessel Using Three-Dimensional Computational Fluid Dynamics and Finite Element Method Based Probabilistic Pressurized Thermal Shock Analysis for Optimizing Maintenance Strategy

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
Xiaoyong Ruan ◽  
Toshiki Nakasuji ◽  
Kazunori Morishita
Keyword(s):  
Fluid Dynamics ◽  
Finite Element Method ◽  
Computational Fluid Dynamics ◽  
Finite Element ◽  
Spatial Distribution ◽  
Pressure Vessel ◽  
Structural Integrity ◽  
Three Dimensional ◽  
Pressurized Thermal Shock ◽  
Reactor Pressure

The structural integrity of a reactor pressure vessel (RPV) is important for the safety of a nuclear power plant. When the emergency core cooling system (ECCS) is operated and the coolant water is injected into the RPV due to a loss-of-coolant accident (LOCA), the pressurized thermal shock (PTS) loading takes place. With the neutron irradiation, PTS loading may lead an RPV to fracture. Therefore, it is necessary to evaluate the performance of RPV during PTS loading to keep the reactor safety. In the present study, optimization of RPV maintenance is considered, where two different attempts are made to investigate the RPV integrity during PTS loading by employing the deterministic and probabilistic methodologies. For the deterministic integrity evaluation, three-dimensional computational fluid dynamics (3D-CFD) and finite element method (FEM) simulations are performed, and stress intensity factors (SIFs) are obtained as a function of crack position inside the RPV. As to the probabilistic integrity evaluation, on the other hand, a practically more useful spatial distribution of SIF on the RPV is calculated. By comparing the distribution thus obtained with the fracture toughness included as a part of the master curve, the dependence of conditional failure probabilities on the position inside the RPV is obtained. Using the spatial distribution of conditional failure probabilities in RPV, the priority of the inspection and maintenance is finally discussed.

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