工业用水与废水2024,Vol.55Issue(3) :18-24.

响应面法优化冷冻浓缩处理高盐染料化工废水研究

High salt dye chemical wastewater treatment using freeze concentration technology modified by response surface method

张钰 吕新新 李志豪 刘会来 陈星
工业用水与废水2024,Vol.55Issue(3) :18-24.

响应面法优化冷冻浓缩处理高盐染料化工废水研究

High salt dye chemical wastewater treatment using freeze concentration technology modified by response surface method

张钰 1吕新新 1李志豪 1刘会来 1陈星1
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作者信息

  • 1. 合肥工业大学 资源与环境工程学院,合肥 230009;合肥工业大学工业与装备技术研究院,合肥 230009
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摘要

采用渐进冷冻浓缩法处理染料化工废水,在单因素试验的基础上,依据响应面分析法(RSM)的中心组合设计(BBD)原理,探究了冷却剂温度、搅拌速率和冷冻时间对盐和COD去除率的交互作用,并建立了多元线性回归预测模型.结果表明:在模型分析最佳试验条件(冷却剂温度为-7.7℃,搅拌速率为 320 r/min,冷冻时间为55 min)下,盐和COD去除率的预测值分别为 72.24%和 72.18%.在上述最佳条件下试验测得的盐和COD去除率分别为 70.40%和69.90%,与模型预测值的相对偏差均在 5%以内,验证了回归模型的准确性和实用性.

Abstract

Progressive freezing and concentration method was used to treat dye chemical wastewater,based on single factor experiment,and according to the principle of Box-Behnken Design(BBD)of response surface methodology(RSM),the interactions of coolant temperature,stirring rate and freezing time on salt and COD re-moval were investigated and a multiple linear regression prediction model was developed.The optimal experi-mental condition was determined through the model analysis,which was as follows:the coolant temperature was-7.7℃,the stirring speed was 320 r/min,and the freezing time was 55 min.Under the above condition,the pre-dicted values of salt and COD removal were 72.24%and 72.18%respectively,while the actual removal rates got-ten from the experiment were 70.40%and 69.90%respectively,and the relative deviations from the predicted values of the model were within 5%,which verified the accuracy and practicability of the regression model.

关键词

渐进冷冻浓缩/染料化工废水/去除率/响应面法/冷却剂温度/搅拌速率/冷冻时间

Key words

progressive freezing and concentration/dye chemical wastewater/removal rate/response surface methodology/coolant temperature/stirring rate/freezing time

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基金项目

国家重点研发计划(2019YFC0408500)

安徽省科技重大专项(202003a07020004)

出版年

2024
工业用水与废水
东化工程科技股份有限公司

工业用水与废水

CSTPCD
影响因子:0.649
ISSN:1009-2455
参考文献量12
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