Regularities of Effect of Large Mirror Dimensions for the Earth Remote Sensing on the Selection of Their Weight Reduction Type
DOI:
https://doi.org/10.20535/1810-0546.2018.1.119063Keywords:
Earth remote sensing, Mirror weight reduction, Zernike coefficientsAbstract
Background. Mirror weight reduction is an important issue in the development of optical space-based systems. However, little attention is paid to the study of the influence of the mirror size and shape (axisymmetric and non-axial segments of axisymmetric mirrors) on the choice of weight reduction type.
Objective. The aim of the paper is the analysis of ways to minimize the working surface deformation and the mirror weight by studying the influence of the mirror size and shape on the choice of weight reduction type (with a solid back wall, with a back wall with holes, and without aback wall).
Methods. The study of the influence of the mirror sizes and shapes on the choice of weight reduction type is carried out. The influence of the mirror type, its size and thickness on the deformation of its working surface is considered.
Results. The influence of the mirror size and type on the deformation of its working surface is analyzed. The recommendations for the application of the back wall lightweight with hexagonal cuts are given. It is determined that the ratio of the smaller side to bigger is 0.5 and less for narrow non-axial mirrors. It is possible to reduce weight without the back wall for axisymmetric mirrors with a diameter of less than 400 mm. For larger mirrors, it is necessary to reduce weight with the back wall with holes. For axial symmetric mirrors with a diameter of more than 650 mm, a solid back wall is required. This recommendation is given for an optical scanner remote sensor, for which the calculated deformation value should not exceed 0,005l.
Conclusions. To analyze the dependence of the working surface deformation of different axisymmetric and non-axial segments of axisymmetric mirrors on their size and type of weight reduction a special algorithm was used.
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