ADAPTATION OF SOLID MODELS FOR SOLVING HEAT ENGINEERING PROBLEMS USING CAD CALCULATION MODULES

2020 ◽  
Author(s):  
А.И. РЕПНЕВА ◽  
В.Н. ПОСТНИКОВА
Keyword(s):  
Cost Savings ◽  
Thermal Engineering ◽  
Labor Intensity ◽  
Machine Time ◽  
Aerodynamic Modeling ◽  
Solid Geometry ◽  
Solid Models ◽  
Engineering Problems ◽  
Complex Models ◽  
Traditional Approaches

Показаны основные недостатки традиционных подходов к решению теплотехнических задач посредством аэродинамического моделирования при помощи ЭВМ для твердотельных моделей. Определены пути повышения эффективности и снижения трудоемкости проведения подобных расчетов благодаряметодике поэтапногоупрощения (адаптации) твердотельной геометрии. Произведена оценка экономии затрат системных ресурсов и машинного времени при использовании методики поэтапного упрощения твердотельной геометрии. Выявлена возможность расчета более сложных моделей при ограниченных аппаратных ресурсах за счет предложенного подхода. The main disadvantages of traditional approaches to solving thermal engineering problems by means of aerodynamic modeling using a computer for solid models are shown. The ways of increasing efficiency and reducing the labor intensity of such calculations due to the method of step-by-step simplification (adaptation) of solid geometry are determined. Cost savings of system resources and machine time were estimated using the technique of step-by-step simplification of a solid geometry. The possibility of calculating more complex models with limited hardware resources was revealed due to the proposed approach.

scholarly journals Accurate prediction of protein structures and interactions using a three-track neural network

Science ◽  
2021 ◽  
pp. eabj8754
Author(s):  
Minkyung Baek ◽  
Frank DiMaio ◽  
Ivan Anishchenko ◽  
Justas Dauparas ◽  
Sergey Ovchinnikov ◽  
...  
Keyword(s):  
Structure Prediction ◽  
Protein Structures ◽  
Biological Research ◽  
Sequence Information ◽  
Distance Map ◽  
X Ray Crystallography ◽  
Complex Models ◽  
Unknown Structure ◽  
Rapid Generation ◽  
Traditional Approaches

DeepMind presented remarkably accurate predictions at the recent CASP14 protein structure prediction assessment conference. We explored network architectures incorporating related ideas and obtained the best performance with a three-track network in which information at the 1D sequence level, the 2D distance map level, and the 3D coordinate level is successively transformed and integrated. The three-track network produces structure predictions with accuracies approaching those of DeepMind in CASP14, enables the rapid solution of challenging X-ray crystallography and cryo-EM structure modeling problems, and provides insights into the functions of proteins of currently unknown structure. The network also enables rapid generation of accurate protein-protein complex models from sequence information alone, short circuiting traditional approaches which require modeling of individual subunits followed by docking. We make the method available to the scientific community to speed biological research.

Analysis of Cost Savings in the Recovery Room Requires Complex Models

1995 ◽  
Vol 81 (3) ◽  
pp. 655
Author(s):  
Zeev N. Kain ◽  
Dorothy J. Gaal ◽  
Tatiana S. Kain ◽  
David D. Jaeger ◽  
Stephen Rimar
Keyword(s):  
Recovery Room ◽  
Cost Savings ◽  
Complex Models

scholarly journals Improving the design of the seal gaps in the flow of the pumping unit GTK-10-4.

2015 ◽  
Vol 2015 (1) ◽  
pp. 35-40
Author(s):  
Виктор Перевезенцев ◽  
Viktor Perevezentsev ◽  
Максим Шилин ◽  
Maksim Shilin
Keyword(s):  
Gas Turbine ◽  
Honeycomb Structure ◽  
Thermal Engineering ◽  
Radial Clearance ◽  
Gas Dynamic ◽  
Engineering Problems ◽  
Honeycomb Seals ◽  
Pumping Unit

Describes the methods of modernization seal the radial clearance of the gas turbine by using the honeycomb structure at the periphery of the wheel. Discusses the gas-dynamic and thermal engineering problems using honeycomb seals in turbomachinery.

Reeb Graph Based Shape Retrieval for CAD

2003 ◽  
Author(s):  
Dmitriy Bespalov ◽  
William C. Regli ◽  
Ali Shokoufandeh
Keyword(s):  
Shape Matching ◽  
Scale Space ◽  
Modeling Language ◽  
Reeb Graph ◽  
Mechanical Parts ◽  
Solid Models ◽  
Cad Models ◽  
Complex Models ◽  
Reeb Graphs ◽  
Future Work

Our recent work has described a framework for matching solid of mechanical artifacts models based on scale-space feature decomposition. In this work we adopt a method of comparing solid models based on Multiresolutional Reeb Graphs (MRG) similarity computations. This method was originally proposed by Hilaga et al. in [1]. Reeb Graph technique applies MRG structure to comparisons of approximate models found in the graphics community, such as polygonal meshes, faceted representation and Virtual Reality Modeling Language (VRML) models. First, we provide a brief review of shape matching using Multiresolutional Reeb Graphs and present an approach to matching solid models. Second, we show the performance of the Reeb Graph technique when handling primitive CAD models, such as cubes and spheres; then we perform experiments with more complex models, such as LEGO models and mechanical parts, and we discuss Reeb Graph technique’s performance on complex CAD models. Third, we emphasize several problems with the existing technique. Finally, we conclude with discussion of future work.

Analysis of Cost Savings in the Recovery Room Requires Complex Models

1995 ◽  
Vol 81 (3) ◽  
pp. 655
Author(s):  
Zeev N. Kain ◽  
Dorothy J. Gaal ◽  
Tatiana S. Kain ◽  
David D. Jaeger ◽  
Stephen Rimar
Keyword(s):  
Recovery Room ◽  
Cost Savings ◽  
Complex Models

1518. A theorem in solid geometry.

1941 ◽  
Vol 25 (264) ◽  
pp. 118
Author(s):  
C. V. Dueell
Keyword(s):  
Solid Geometry
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