Optimizing organic pollutant removal from hydrazine hydrate waste brine through thermal activation of sodium persulfate assisted by response surface methodology DOI
He Sun,

Guomin Geng,

Shilong Lin

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106687 - 106687

Published: Dec. 2, 2024

Language: Английский

Radial Basis Function Neural Network and Response Surface Methodology-Based Optimization of Glue Breakage in Waste Drilling Fluids DOI Open Access
Li Yan, Zhiqiang Xu, Jiaxin Xi

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 406 - 406

Published: Feb. 4, 2025

This paper aims to solve the problems of difficult breakage and low water yield wastewater-based drilling fluids. The effects agent dosage, reaction temperature, stirring speed, pumping time on fluids were analyzed through one-way experiments, these parameters optimized by Response Surface Methodology (RSM). A Radial Basis Function Neural Network (RBF) model was also introduced compare its performance with that RSM in predicting optimal process conditions. To further improve accuracy model, a combination Genetic Algorithm (GA) RBF used for optimization. results show both models can predict high accuracy, which coefficient determination is 0.9939, better than (0.9778). operating conditions are determined numerical optimization: amount glue breaker added 3.97 kg/m3, temperature 51 °C, speed 419 rpm, maximum 62.37%, best-predicted yield. GA-RBF coupled performed terms root mean square error (RMSE), (R2 = 0.998), absolute (MAE), t-test verified there no significant difference between predicted actual values. value waste mud could reach 61.97% when gum at 3.83 53 424 provided an accurate reliable theoretical basis technical support harmless treatment deep complex

Language: Английский

Citations

0
Casuarina seed-packed biofilter for the treatment of gaseous mixture: performance, optimization, synergistic effects, neural model analysis, and kinetics DOI
Divya Baskaran,

Saravanan Viswanathan,

Hun-Soo Byun

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116689 - 116689

Published: April 1, 2025

Language: Английский

Citations

0
AI-based modeling studies for dye removal using mixed biomass composites from algae and plant seeds: Isotherm, kinetics, and mechanistic insights DOI

S. Karishma,

V.C. Deivayanai,

P. Thamarai

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 67, P. 106227 - 106227

Published: Oct. 4, 2024

Language: Английский

Citations

1
Effectiveness of Musa Balbisiana bract toward chromium removal from industrial tannery effluent: optimization, kinetics, isotherms, regeneration, and cost estimation DOI
Divya Baskaran,

Becky Miriyam,

R. Palani

et al.

Biochemical Engineering Journal, Journal Year: 2024, Volume and Issue: 213, P. 109565 - 109565

Published: Nov. 12, 2024

Language: Английский

Citations

1
Optimizing organic pollutant removal from hydrazine hydrate waste brine through thermal activation of sodium persulfate assisted by response surface methodology DOI
He Sun,

Guomin Geng,

Shilong Lin

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 69, P. 106687 - 106687

Published: Dec. 2, 2024

Language: Английский

Citations

1