OPTIMIZATION STUDY OF STRUCTURE AND OPERATING PARAMETERS OF DOUBLE-LAYER CENTRIFUGAL ATOMIZING NOZZLE BASED ON RESPONSE SURFACE METHODOLOGY

In view of the problems such as the lack of comprehensive analysis of working parameters and structural parameters and the imperfection of the atomization model in existing studies, a dual-layer centrifugal atomizing nozzle was designed to optimize the droplet volume median diameter and droplet spectrum width. The key influencing factors, including atomizing disc speed, flow rate, and the number of atomizing teeth, were selected for optimization. Both single-factor and three-factor, three-level response surface optimization experiments were conducted to determine the optimal number of atomizing teeth for different combinations of disc speed and flow rate. Furthermore, with the spray width as the objective function, a Box-Behnken experimental design was employed to investigate the effects of atomizing disc speed, flow rate, and spray height on the atomization performance of the centrifugal nozzle. A multiple quadratic response surface regression model for spray width was also developed. The results indicated that both individual factors and their interactions had a significant impact on the droplet volume median diameter, droplet spectrum width, and spray width. The optimized number of atomizing teeth was found to be 50, and the adjusted R-squared values for the above three regression equations were 0.9977, 0.9893, and 0.9485, respectively. This study provides a theoretical basis for optimizing the nozzle structure and improving the quality of plant protection operations.

Authors

Institutions

Publication Details

Journal
INMATEH Agricultural Engineering
Published
2024-12-21
DOI
https://doi.org/10.35633/inmateh-74-59
Primary Topic
Rocket and propulsion systems research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OPTIMIZATION STUDY OF STRUCTURE AND OPERATING PARAMETERS OF DOUBLE-LAYER CENTRIFUGAL ATOMIZING NOZZLE BASED ON RESPONSE SURFACE METHODOLOGY

Lilian Liu, Nan Zhou, Yubin Lan
INMATEH Agricultural Engineering
Rocket and propulsion systems research
article

OPTIMIZATION STUDY OF STRUCTURE AND OPERATING PARAMETERS OF DOUBLE-LAYER CENTRIFUGAL ATOMIZING NOZZLE BASED ON RESPONSE SURFACE METHODOLOGY

Lilian Liu, Nan Zhou, Yubin Lan
article en

Abstract

In view of the problems such as the lack of comprehensive analysis of working parameters and structural parameters and the imperfection of the atomization model in existing studies, a dual-layer centrifugal atomizing nozzle was designed to optimize the droplet volume median diameter and droplet spectrum width. The key influencing factors, including atomizing disc speed, flow rate, and the number of atomizing teeth, were selected for optimization. Both single-factor and three-factor, three-level response surface optimization experiments were conducted to determine the optimal number of atomizing teeth for different combinations of disc speed and flow rate. Furthermore, with the spray width as the objective function, a Box-Behnken experimental design was employed to investigate the effects of atomizing disc speed, flow rate, and spray height on the atomization performance of the centrifugal nozzle. A multiple quadratic response surface regression model for spray width was also developed. The results indicated that both individual factors and their interactions had a significant impact on the droplet volume median diameter, droplet spectrum width, and spray width. The optimized number of atomizing teeth was found to be 50, and the adjusted R-squared values for the above three regression equations were 0.9977, 0.9893, and 0.9485, respectively. This study provides a theoretical basis for optimizing the nozzle structure and improving the quality of plant protection operations.

INMATEH Agricultural Engineering
Shandong University of Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 61%
Rocket and propulsion systems research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

OPTIMIZATION STUDY OF STRUCTURE AND OPERATING PARAMETERS OF DOUBLE-LAYER CENTRIFUGAL ATOMIZING NOZZLE BASED ON RESPONSE SURFACE METHODOLOGY — Lilian Liu, Nan Zhou, et al. · INMATEH Agricultural Engineering (2024) | TGRS Research Map | TGRS