资源描述：
《响应面法优化絮凝处理造纸法烟草薄片废水》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。
1、研究开发R&D响应面法优化絮凝处理造纸法烟草薄片废水1,2,31,21,21,2⊙王玉峰陈克复莫立焕周志明（1.华南理工大学制浆造纸工程国家重点实验室，广州510640；2.华南理工大学植物资源化学与化工联合实验室，广州510640；3.广东省东莞市质量监督检测中心国家纸制品质量监督检验中心，广东东莞523080）王玉峰，硕士，工程师；主要从事纸制品质量检测及相关标准OOptimizationofptimizationofflocculationprocessforocculationprocessfor的研究工作。ppapermaking-reconstit
2、utedtobaccoslicewastewaterapermaking-reconstitutedtobaccoslicewastewaterttreatmentusingresponsesurfacemethodologyreatmentusingresponsesurfacemethodology1,2,31,21,21,2⊙WANGYu-feng,CHENKe-fu,MOLi-huan,ZHOUZhi-ming(1.StateKeyLabofPulpandPaperEngineering,SouthChinaUniversityofTechnolog
3、y,Guangzhou510640,China;2.UnitedLabofResourceChemistryandChemicalEngineering,SouthChinaUniversityofTechnology,Guangzhou510640,China;3.NationalPaperProductsQualitySupervisionInspectionCenter,GuangdongDongguanQualitySupervisionTestingCenter,Dongguan523080,China)摘要：以聚合氯化铝（PAC）和聚丙烯酰胺（C
4、PAM）为絮凝剂，对造纸法烟草薄片废水进行絮凝预处理。以絮凝剂用量和pH值为影响因素，以COD和色度去除率为响应值，采用中心组合实验设计和响应面法建立了COD和色度去除率的响应面方程。通过对数学模型进行求解，可知在PAC用量为715mg/L、CPAM用量为4.8mg/L和pH值为6.5的条件下，COD和色度去除率可同时达到最大值，分别为67.8%和77.7%。验证实验结果表明，响应面法的预测值与实验值吻合较好，建立的模型具有较高的可信度，响应面法是一种有效的优化废水絮凝条件的方法，为烟草薄片废水的优化絮凝处理提供了一定的理论依据。关键词：响应面法；絮凝；造纸
5、法烟草薄片；废水Abstract:Acoagulation–flocculationprocesswasusedtotreatpapermaking-reconstitutedtobaccoslicewastewaterwithpolyaluminiumchloride(PAC)ascoagulantandcationicpolyacrylamide(CPAM)asflocculants.Tominimizechemicaloxygendemand(COD)andcolorofthewastewater,theexperimentswerecarriedoutu
6、singjartestsandresponsesurfacemethodology(RSM)wasappliedtooptimizethisprocess.Acentralcompositedesign,whichisthestandarddesignofRSM,wasusedtoevaluatetheeffectsandinteractionsofthreefactors,i.e.PACdosage,CPAMdosageandpHonthetreatingefficiency.Theoptimalconditionsobtainedfromthecompro
7、miseofthetwodesirableresponses,CODremovalrateandcolorremovalrate,werePACdosageof715mg/L,CPAMdosageof4.8mg/LandpH6.6,respectively.Undertheoptimalconditions,themaximalCODremovalrate(67.8%)andthemaximalcolorremovalrate(77.7%)couldbeachieved.TheRSMwasdemonstratedasanappropriateapproach
8、fortheoptimizationofthecoa
