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Static and Dynamic Characteristics of Oil Lubricated Beveled-Step Herringbone- Grooved Journal Bearings

Research Abstract
Recently, herringbone-grooved journal bearings (HGJBs) have important applications in high-speed rotating machinery. The groove action in pumping the lubricating fluid inward generates supporting stiffness and improves the stability of the bearing when operating concentrically. Several researchers have investigated the static and dynamic characteristics of HGJBs and grooved thrust bearings. Most of these investigations were theoretical and concentrated on HGJBs with rectangular-profile grooves. In the present work, the static and dynamic characteristics of the beveled-step HGJBs are experimentally investigated. The bearing attitude angle, pressure distribution, and bearing friction torque were measured on a hydrodynamic lubrication unit, and then the static and dynamic characteristics were determined. The obtained experimental results are compared to the obtained experimental results for plain journal bearing. The merits as well as the demerits of the groove profile were discussed through comparisons with plain journal bearings. DOI: 10.1115/1.2908903
Research Authors
M. M. Nemat-Alla, A. M. Gad, A. A. Khalil, A. M. Nasr
Research Journal
ASME Journal of Tribology
Research Member
Mahmoud Mohamed Mohamed Nematollah
Research Pages
011701 - 011707
Research Vol
Vol. 131,
Research Website
http://www.asme.org/terms/Terms_Use.cfm
Research Year
2009

Reduction of thermal stresses by composition optimization of two-dimensional functionally graded materials

Research Abstract
Reduction of the thermal stresses in machine elements that are subjected to severe thermal loadings was achieved by developing two-dimensional functionally graded materials, 2D-FGM. In the current investigation, composition optimization for ZrO2/6061-T6/Ti-6Al-4V 2D-FGM, under a severe thermal loading cycle that consists of heating followed by cooling, was carried out based on the minimization of temperatures and thermal and residual stresses to achieve better reduction of the thermal stresses. From the current investigation it was found that the optimum composition based on the minimum value of the maximum temperature for ZrO2/6061-T6/Ti-6Al-4V 2D-FGMwas achieved formx = 0.1 andmy = 0.1, while the optimum composition based on the minimum value of the maximum normalized equivalent stresses for ZrO2/6061-T6/Ti-6Al-4V 2D-FGM was achieved for mx = 0.1 and my = 5, where mx and my are the composition variation parameters in x- and y-directions, respectively. Also, the obtained optimum composition of ZrO2/6061-T6/Ti-6Al-4V 2D-FGM can stand well with the adopted severe thermal loading without any plastic deformation or residual stresses, where the maximum value of the normalized equivalent stresses during the heating stage was 0.8 and the maximum value of the normalized equivalent stresses during the cooling stage was 0.24.
Research Authors
Mahmoud Nemat-Alla
Research Journal
Acta Mech
Research Member
Mahmoud Mohamed Mohamed Nematollah
Research Pages
147–161
Research Publisher
Springer
Research Vol
vol. 208
Research Year
2009

Incorporating Prior Information in the Fuzzy C-mean Algorithm with Application to Brain Tissues Segmentation in MRI

Research Abstract
This paper introduces a new formula for the objective function of the famous fuzzy C-means algorithm. Two weighted terms are added to the objective function to reflect any available information about the class center and class pixels distribution throughout the datasets. The algorithm is evaluated for the task of the segmentation of medical MRI brain volume. The results show that the algorithm has a considerable robustness against noise and partial volume effects, and it needs a smaller number of iterations to reach convergence compared with other similar algorithms.
Research Authors
Moumen El-Melegy, and Hashim Mokhtar
Research Department
Research Journal
IEEE International Conference on Image Processing (ICIP'09),
Research Pages
3393-3396
Research Year
2009

Assessment of Exercise-Intended Immune Cell Apoptosis using Morphological Image Processing

Research Abstract
This paper presents an image processing-based approach for the assessment of living cell apoptosis. The approach uses deformable models in tracing the changes in cell shapes in accordance to possible apoptotic cell death. Stochastic controlled energy function is used to drive the evolution of the deformable model. As an application for the proposed approach, it is applied for detecting the morphological changes in exercise-induced immune cells during their apoptosis. The approach is used with the goal of automating the assessment of cell apoptosis. The proposed approach shows promising results in detecting these morphological changes.
Research Authors
Refaat M. Mohamed, Ayman El-Baz and James Navalta
Research Department
Research Journal
ICIP
Research Member
Reffat Mukhtar Mohamed Hassanein
Research Publisher
N/A
Research Rank
4
Research Vol
N/A
Research Website
N/A
Research Year
2009

Formation of blockfields in the Hirao granodiorite and effects of tunneling work on the natural environment

Research Authors
A. M. Abdel - Rahman
Research Journal
7th International Mining, Petroleum, and Metallurgical Engineering Conference, Faculty of Engineering, Assiut University, Assiut, Egypt
Research Rank
4
Research Year
2001
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