Weibull partition surface representation for gravity concentrators

2004 ◽  
Vol 17 (7-8) ◽  
pp. 953-956 ◽  
Author(s):  
B.V. Rao
Author(s):  
Juhwan Choi ◽  
Jin Hwan Choi

The contact analysis of multi-flexible-body dynamics (MFBD) has been an important issue in the area of computational dynamics because the realistic dynamic analysis of many mechanical systems includes the contacts among rigid and flexible bodies. But, until now, the contact analysis in the multi-flexible-body dynamics has still remained as a big, challenging area. Especially, the most of contact algorithms have been developed based on the facetted triangles. As a result, the contact force based on the facetted surface was not accurate and smooth because the geometrical error is already included in the contact surface representation stage. This kind of error can be very important in the precise mechanism such as gear contact or cam-valve contact problems. In order to resolve this problem, this study suggests a cubic spline surface representation method and related contact algorithms. The proposed contact algorithms are using the compliant contact force model based on the Hertzian contact theory. In order to evaluate the smooth contact force, the penetration depth and contact normal directions are evaluated by using the cubic spline surface interpolation. Also, for the robust and efficient contact algorithm development, the contact algorithms are divided into four main parts which are a surface representation, a pre-search, a detailed search and a contact force generation. In the surface representation part, we propose a smooth surface representation method which can be used for smooth rigid and flexible bodies. In the pre-search, the algorithm performs collision detection and composes the expected contact pairs for the detailed search. In the detailed search, the penetration depth and contact reference frame are calculated with the cubic spline surface interpolation in order to generate the accurate and smooth contact force. Finally in the contact force generation part, we evaluate the contact force and Jacobian matrix for the implicit time integrator.


2008 ◽  
Vol 24 (1-2) ◽  
pp. 117-126
Author(s):  
Vladimir Zimmermann ◽  
V. Kulísek ◽  
A. Copík ◽  
M. Odstrcil ◽  
Ondrej Debrecéni ◽  
...  

The results of histochemical analysis of three muscles m. triceps brachii (MTB), m. longissimus thoracicus (MLT) and m. rectus femoris (MRF) of two groups of pigs created according to the genotypes MYF 4 are presented. Determination of MYF 4 genotypes was made by PCR method and for histochemical analysis was used 5 animals detected as homozygote MYF 4- AA type and 5 animals of heterozygote genotype myogenin-AB out of the total of 25 individual animals tested. The histochemical analysis proved that homozygotes AA have had bigger fat cells than heterozygotes AB in three studied muscles in average. The size of fat cells in MLT - 41.10?m or 38.50 ?m respectively dominated in both groups of animals. Percentage surface representation of interstitial tissues was higher in the studied muscles of heterozygote MYF 4-AB. The volume of ligaments was the highest in MRF (3.80% or 3.90% respectively) in both groups (myogenin - AA and AB). The average thickness was of three studied muscles muscle fibres higher at homozygote genotype myogenin-AA than in heterozygote myogenin-AB. The thickest fibres in both genotypes were in MRF (88.60 ?m, and 84.72 ?m respectively) and the lowest in MTB (73.30 and 69.40 ?m respectively). The highest values of muscle fibres thickness were detected in ?-White fibres. Their percentage surface representation corresponded to this in all three types of muscles of both studied genotype myogenin groups.


Author(s):  
Amey Thakur ◽  
Hasan Rizvi ◽  
Mega Satish

In the present study, we propose to implement a new framework for estimating generative models via an adversarial process to extend an existing GAN framework and develop a white-box controllable image cartoonization, which can generate high-quality cartooned images/videos from real-world photos and videos. The learning purposes of our system are based on three distinct representations: surface representation, structure representation, and texture representation. The surface representation refers to the smooth surface of the images. The structure representation relates to the sparse colour blocks and compresses generic content. The texture representation shows the texture, curves, and features in cartoon images. Generative Adversarial Network (GAN) framework decomposes the images into different representations and learns from them to generate cartoon images. This decomposition makes the framework more controllable and flexible which allows users to make changes based on the required output. This approach overcomes any previous system in terms of maintaining clarity, colours, textures, shapes of images yet showing the characteristics of cartoon images.


2021 ◽  
Vol 15 ◽  
pp. 56-61
Author(s):  
Majdi Jribi ◽  
Faouzi Ghorbel

In this paper, we intend to introduce a new curved surface representation that we qualify by three-polar. It is constructed by the superposition of the three geodesic potentials generated from three reference points of the surface. By considering a pre-selected levels set of this superposition, invariant points are obtained. The accuracy of the three-polar representation for 3D human faces description is performed in the mean of the Hausdorff distance. A comparison between this representation and the one based on the level curves around the nose tip is established in the sense of the robustness under errors on the nose tip positions.


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