نتایج جستجو برای: geometrical optimization

تعداد نتایج: 345188  

2011
Ronit Fuchs Tamar Flash Daniel Bennequin Alain Berthoz

A recent study has shown that geometrical invariance can describe the kinematic features of human drawing and locomotion movements [1]. The proposed theory has suggested that movement duration and compositionality arise from the cooperation among the Euclidian, equi-affine and full affine geometries. On the other hand, past studies have shown that different optimization principles can be used t...

2011
I. I. Argatov

An approach, based on the refined method of matched asymptotic expansions, is proposed for the construction of asymptotic models for the topological sensitivity of the energy functional with respect to the creation of a small hole in the geometrical domain. It is shown that the asymptotic model provides more information for calculations than the topological derivative. INTRODUCTION The shape op...

Production of lightweight metals with a higher strength to weight ratio is always the main goal of researchers. In this article, equal channel multi angular pressing (ECMAP) process as one of the most appealing severe plastic deformation (SPD) methods on production of ultra-fine grained (UFG) materials studied. Two main routes A and C investigated by FEM and compared with each other from differ...

In thermoelectric coolers (TECs) applied external voltage potential is generated to a temperature difference based on the Peltier effect. Main and basic structure of TECs is in the form of single stage device. Due to the low efficiency, especially low coefficient of performance (COP) of thermoelectric coolers, optimal design of geometrical parameters of such devices is vital. For this purpose, ...

In present study, a three-step multi-objective optimization algorithm of cyclone separators is catered for the design objectives. First, the pressure drop (Dp) and collection efficiency (h) in a set of cyclone separators are numerically evaluated. Secondly, two meta models based on the evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the re...

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