350 rub
Journal Radioengineering №8 for 2011 г.
Article in number:
Features of Use of Scale Models of Objects of the Difficult Form in Experimental Researches Optiсal Loсation Channels a Method of Physical Modeling
Authors:
A.V. Nagalin, V.D. Popelo, D.K. Proskurin
Abstract:
Key element modeling of optical location experiment is the reduced copy of object of a location - its physical model. Performance of criteria of similarity of processes of distribution of partially-coherent monochromatic (laser) radiation in the is casual-non-uniform environment on lines with reflection is possible, if following requirements to models of objects are fulfilled: 1) the linear sizes of model and its characteristic details in cross-section to a direction of distribution of the reflected radiation of a plane should be in less corresponding sizes of real object; 2) curvature of a surface of model should be in times more curvature of a surface of real object; 3) the radius the radiation reflected from model, should be in time of less radius coherence the radiation reflected from a surface of real object, where ? the relation of extent location lines in modeling experiment and a reality. These requirements can't be executed without essential distortion of the form, and use of scale models similar under the form will always lead to a modeling error. On the basis of the analysis of errors of modeling spent in work it is established that for objects with expressed diffusion dispersion it is possible to recommend as manufacturing of models preferable scale equal , and for the objects which surface is characterized by a high orientation of the reflection, preferable scale of manufacturing of models is scale. It is shown that between these two extreme cases when use of scale models is accompanied by comprehensible errors of modeling, the area of values of the parameter , entered in work for the characteristic of properties of models, width five usages (0,0001< <10) lies. In this area of values of parameter use of scale models leads to almost uncontrollable errors of modeling.
Pages: 50-53
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