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Optimization of Piston Compressor Geometric Size Using the Genetic Algorithm Method

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Book cover Proceedings of the 4th International Conference on Industrial Engineering (ICIE 2018)

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Abstract

The study of strained-deformed state of piston compressor and a compressor-cylinder system is conducted. For that, the case of optimization of piston compressor geometric size is considered (the search of optimal configuration of piston contact zone) with the use of the genetic algorithm method, allowing to evenly spread the friction forces across the outer surface of the compressor, that occurs during the mechanism use. The methodology of the study of piston compressors in deformed strained state is proposed with adding strain function into geometric and physical equations of the classic linear elasticity theory. The comparison of the results has shown that the change approximation of elasticity module from the thickness of modified layer is the same as the experimental values. The use of target function in the form of weighed solution combination allows determining optimum compressor configuration for the most even spread of contact strains in the process of work and erasing the material.

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Correspondence to S. S. Rekunov .

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Dushko, O.V., Voronkova, G.V., Rekunov, S.S. (2019). Optimization of Piston Compressor Geometric Size Using the Genetic Algorithm Method. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 4th International Conference on Industrial Engineering. ICIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95630-5_115

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  • DOI: https://doi.org/10.1007/978-3-319-95630-5_115

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-95630-5

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