title: ÐÐ¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ½ÐµÐºÐ¾ÑÐµÐ½ÑÑÐ¾Ð±ÐµÐ¶Ð½Ð¾Ð¹ ÑÑÑÐ¿ÐµÐ½Ð¸ ÐºÐ¾Ð½Ð´ÐµÐ½ÑÐ°ÑÐ½Ð¾Ð³Ð¾ Ð½Ð°ÑÐ¾ÑÐ° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Optimization of the centrifugal stage with an inducer of a condensate pump using neural networks
Creators: name: Ð§ÐµÑÐ½ÑÑÐµÐ², Ð¯ÑÐ¾ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐµÐ½ÑÑÐ¾Ð±ÐµÐ¶Ð½ÑÐ¹ Ð½Ð°ÑÐ¾Ñ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
Ansys
CFD
ÑÑÐ¾Ñ Ð°ÑÑÐ¸ÑÐµÑÐºÐ°Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ
ÑÐµÐ³ÑÐµÑÑÐ¸Ñ
centrifugal pump
neural networks
optimization
stochastic optimization
regression

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description: The theme of the graduate work: "Optimization of the centrifugal stage with an inducer of a condensate pump using neural networks". This work is devoted to the development of metamodels of centrifugal pumps with the inducer based on neural networks. The main purpose of this work is to create a metamodel and optimize the flow part of a centrifugal pump stage with the inducer based on a metamodel. During the research the following tasks were solved: 1. Parameterization of flow part of the centrifugal pump stage with the inducer and creation of a data base of flow part geometry variants and their char-acteristics by means of variants numerical modeling. 2. Creation of a metamodel based on polynomial regression. Research of influence of parameters of architecture of a full mesh neural network of forward propagation on the accuracy of parameters forecasting. 4. Creation of metamodel based on a neural network. 5. Optimization of a flow part based on the developed metamodel and an estimation of the received results. The object of research is a centrifugal stage with the inducer of a condensate pump. The subject of the research is the study of the effectiveness of neural net-works for creating metamodels of hydraulic blade machines. In work the pro-gramming language Python for creation of neural networks is used. Modeling of centrifugal pump working process is made by numerical method of finite ele-ments in ANSYS software package.