The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 09, 2024

Filed:

Sep. 03, 2021
Applicant:

Korea Institute of Industrial Technology, Cheonan-si, KR;

Inventors:

Jin Hyuk Kim, Incheon, KR;

Sung Kim, Cheonan-si, KR;

Sang Bum Ma, Incheon, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); F04D 1/06 (2006.01); F04D 7/04 (2006.01); F04D 29/22 (2006.01); F04D 29/30 (2006.01); F04D 29/44 (2006.01); G06F 30/17 (2020.01); G06N 3/086 (2023.01);
U.S. Cl.
CPC ...
F04D 29/445 (2013.01); F04D 1/06 (2013.01); F04D 7/04 (2013.01); F04D 29/225 (2013.01); F04D 29/30 (2013.01); G06F 30/17 (2020.01); G06F 30/27 (2020.01); G06N 3/086 (2013.01);
Abstract

The present disclosure relates to a two-vane pump for wastewater and a design method of a two-vane pump for wastewater using machine learning, and more particularly, a design method of a two-vane pump using machine learning capable of having efficiency of a target head and performing optimal design for sizes of solids that can pass through and a two-vane pump for wastewater according to the machine learning. According to the present disclosure, there is provided a design method of two-vane pump for wastewater using machine learning, including: a) setting an objective function; b) setting design variables of the impeller and volute for deriving the set objective function and a range of each design variable; c) deriving a plurality of experimental points including values of the design variables within the range of the design variable; d) generating an input value by calculating the value of the objective function through numerical analysis of each of the derived experimental points; e) constructing a surrogate model through machine learning for the input value; and f) deriving an optimal design of the two-vane pump for wastewater from the constructed surrogate model.


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