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:
May. 31, 2022

Filed:

Jul. 17, 2020
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Fei Liu, Hangzhou, CN;

Wenwen Kong, Hangzhou, CN;

Yufei Liu, Hangzhou, CN;

Lei Feng, Hangzhou, CN;

Hui Fang, Hangzhou, CN;

Han Guo, Hangzhou, CN;

Jun Zhou, Hangzhou, CN;

Jiangang Shen, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B05B 12/08 (2006.01); G01B 21/10 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01B 21/10 (2013.01); B05B 12/082 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

The invention relates to a method and device for predicting a volume median diameter (VMD) in an overlapped spray area of twin nozzles. Placing a single nozzle at different heights to determine a spray area; measuring all VMDs in the spray area to obtain first true measured values; dividing the first true measured values to construct a first calibration set and a first prediction set; establishing a polynomial fitting formula by a REGRESS function; placing twin nozzles at different heights and different nozzle spacing, and measuring VMDs in the overlapped spray area to obtain second true measured values; determining simulated values of the VMDs of first and second nozzles; dividing the simulated values of the VMDs and the second true measured values to construct a second calibration set and a second prediction set; quantitatively calibrating by using a radial basis function neural network (RBFNN) to obtain a prediction model; determining a VMD in the overlapped spray area of twin nozzles.


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