Article


Cover

№2 2019

Title

Research and optimization of production cycle of high-precision composite spacecraft antenna reflector

Authors

1N.А. Berdnikova, 1O.А. Belov, 2,3А.V. Lopatin

Organizations

1JSC Academician M. F. Reshetnev Information Satellite Systems
Zheleznogorsk, Krasnoyarsk region, Russian Federation
2Reshetnev Siberian State University of Science and Technology
Krasnoyarsk, Russian Federation
3Institute of Computational Technologies of SB RAS
Krasnoyarsk, Russian Federation

Abstract

The article presents a finite element model of CFRP (carbon fiber reinforcement material) reflector polymerization in autoclave for prediction of its shape after removing from the tool. The simulation was performed in the FEM software environment. The technique has developed in this work provides an opportunity to predict a shape and values of the production deformation of the reflector prior to its manufacture, and, if necessary, to introduce design and technological modifications. Successful verification of the finite-element modeling results of the reflector polymerization was performed using a full-scale experiment. Tool from CFRP has been created to forming the composite antenna reflector. This tool is cheaper than the Invar tool currently used. Also, the CFRP tool requires less time to manufacture. Recommendations for improving the technological process of composite contour antenna reflectors production manufactured on CFRP-tool are developed in the paper. The optimum curing mode of the composite reflector is determined. The research results were used in the performance of experimental design work and in the manufacture of reflectors for the spacecraft.

Keywords

spacecraft antenna, carbon fiber reinforcement material, production stress, autoclave, tool, finite element method

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For citing this article

Berdnikova N.А., Belov O.А., Lopatin А.V. Research and optimization of production cycle of high-precision composite spacecraft antenna reflector // Spacecrafts & Technologies, 2019, vol. 3, no. 2, pp. 59-72. doi: 10.26732/2618-7957-2019-2-59-72


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This Article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).