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Parametric synthesis of admissible basic SRM screw-rotor profile based on a genetic algorithm

https://doi.org/10.25682/NIISI.2026.2.0007

Abstract

The automation of selecting and constructing SRM (Svenska Rotor Maskiner) screw-rotor profiles is considered. The study deals with the classical case of screw rotors having a constant helix lead along the rotor length and an unchanged cross-sectional profile from the suction port to the discharge port. A method is proposed for the parametric synthesis of a base profile, i.e., an initial profile serving as the starting point for its subsequent shape optimization and satisfying the technical specification and the conditions of geometric feasibility (hereinafter referred to as an admissible base profile, or simply a base profile). The search over nine design parameters is performed by a genetic algorithm with built-in control of geometric and kinematic feasibility and parallel evaluation of individuals. The correctness of the synthesized geometry is confirmed by an independent computation of the paired-cavity volume by two methods. For a test specification of an associated-petroleum-gas compression stage, a base profile was obtained within several generations with a maximum partial error of specification matching of about 4.8%; the discrepancy between the two volume-computation methods did not exceed 0.5%. The method is implemented as an end-to-end automated pipeline with export of profile coordinates for construction in CAD systems.

About the Authors

A. A. Polin
НИЦ «Курчатовский институт» – НИИСИ, Москва
Russian Federation


V. A. Gorelov
НИЦ «Курчатовский институт» – НИИСИ, Москва


V. Zh. Kuklin
НИЦ «Курчатовский институт» – НИИСИ, Москва


A. Yu. Safronov
НИЦ «Курчатовский институт» – НИИСИ, Москва


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Review

For citations:


Polin A.A., Gorelov V.A., Kuklin V.Zh., Safronov A.Yu. Parametric synthesis of admissible basic SRM screw-rotor profile based on a genetic algorithm. SRISA Proceedings. 2026;16(2):54-62. (In Russ.) https://doi.org/10.25682/NIISI.2026.2.0007

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ISSN 2225-7349 (Print)
ISSN 3033-6422 (Online)