Using computational intelligence for prediction, modeling, and optimization of chemical process behavior could save costs and time. This study’s main goal was to predict and optimize removal efficiency and permeate flux behavior of Pb2+ aqueous solution in a nanofiltration process through using response surface methodology (RSM) and multilayer perceptron (MLP) neural network. A regression coefficient R2=0.99 was obtained for both removal efficiency and permeate flux in the RSM model. Also, the F-value for the removal efficiency and permeate flux was 394.79 and 1888.85, respectively. Different MLP structures for predicting removal efficiency and permeate flux behavior of lead ion in aqueous solutions were investigated. The best structure was obtained for two hidden layers with nine (tansig transfer function) and three (logsig transfer function) neurons. The values of R=0.9993, R2=0.9986, MSE=0.402 and MAE= 0.409 for the best structure were obtained. Finally, the the removal efficiency was optimized through RSM based on the experimental data. It was concluded that optimum mode selected for membrane composition of PSF=10.04%, NMP= 88.98%, and PAN-CMC-41=0.98% (wt%) 53.17 ppm as lead ion concentration in solution and 30.31 min for filtration time achieved the maximum value of removal efficiency equal to 90.68%.

Membrane Modeling Prediction RSM MLP Lead Ion Filtration

Ikram M, Zhou P, Shah S, Liu G, J. Clean Prod., 226, 628 (2019)
Tu R, Jin W, Han SF, Ding B, Gao SH, Zhou X, Li SF, Feng X, Wang Q, Yang Q, Yuwen Y, Korean J. Chem. Eng., 37(5), 827 (2020)
Zhang C, Zeng GM, Huang DL, Lai C, Chen M, Cheng M, Tang WW, Tang L, Dong HR, Huang BB, Tan XF, Wang RZ, Chem. Eng. J., 373, 902 (2019)
Deng M, Yang X, Dai X, Zhang Q, Malik A, Sadeghpour A, Ecological Indicators, 112, 106166 (2020)
Yin Z, Zhu L, Li S, Hu T, Chu R, Mo F, Hu D, Liu C, Li B, Bioresour. Technol., 301, 122804 (2020)
Vardhan KH, Kumar PS, Panda RC, J. Mol., 290, 111197 (2019)
Gao J, Wang KY, Chung TS, J. Membr. Sci., 603, 118022 (2020)
Domenech NG, Purcell-Milton F, Gun’ko YK, Mater. Today Commun., 23, 100888 (2020)
Foong CY, Wirzal MDH, Bustam MA, J. Mol., 297, 111793 (2020)
Abdullah N, Gohari RJ, Yusof N, Ismail AF, Juhana J, Lau WJ, Matsuura T, Chem. Eng. J., 289, 28 (2016)
Tang SY, Qiu TR, Korean J. Chem. Eng., 36(8), 1321 (2019)
Hosseini SM, Karami F, Farahani SK, Bandehali S, Shen J, Bagheripour E, Seidypoor A, Korean J. Chem. Eng., 37(5), 866 (2020)
Goel V, Mandal UK, Korean J. Chem. Eng., 36(4), 573 (2019)
Nabian N, Ghoreyshi AA, Rahimpour A, Shakeri M, Korean J. Chem. Eng., 32(11), 2204 (2015)
Arif Z, Sethy NK, Kumari L, Mishra PK, Verma B, Korean J. Chem. Eng., 36(7), 1148 (2019)
Yousefi N, Nabizadeh R, Nasseri S, Khoobi M, Nazmara S, Mahvi AH, Korean J. Chem. Eng., 34(8), 2342 (2017)
Alawady AR, Alshahrani AA, Aouak TA, Alandis NM, Chem. Eng. J., 388, 124267 (2020)
Modi A, Bellare J, J. Water Process Eng., 33, 101113 (2020)
Zhu L, Wu M, Van der Bruggen B, Lei L, Zhu L, Sep. Purif., 242, 116770 (2020)
Kumar R, Isloor AM, Ismail AF, Desalination, 350, 102 (2014)
Esfe MH, Amiri MK, Bahiraei M, J. Taiwan Inst. Chem. E, 103, 7 (2019)
Paduretu CC, Isopescu R, Rau I, Apetroaei MR, Schroder V, Korean J. Chem. Eng., 36(11), 1890 (2019)
Kim BM, Choi YJ, Choi JH, Shin YH, Lee SH, Korean J. Chem. Eng., 37(1), 1 (2020)
Esfe MH, Kamyab MH, Afrand M, Amiri MK, Pkysica A, 510, 610 (2018)
Yildiz S, Korean J. Chem. Eng., 34(9), 2423 (2017)
Esfe MH, Rostamian H, Rejvani M, Emami MRS, Physica E, 102, 160 (2018)
Prabhu AA, Mandal B, Dasu VV, Korean J. Chem. Eng., 34(4), 1109 (2017)
Zaferani SPG, Emami MRS, Amiri MK, Binaeian E, Int. J. Biol. Macromol., 139, 307 (2019)
Pazouki M, Zabihi M, Shayegan J, Fatehi MH, Korean J. Chem. Eng., 35(3), 671 (2018)
Hosseini F, Rahimi M, Korean J. Chem. Eng., 37(3), 411 (2020)
Karimnezhad H, Navarchian AH, Gheinani TT, Zinadini S, Chem. Eng. Res. Des., 153, 187 (2020)
Baneshi MM, Ghaedi AM, Vafaei A, Emadzadeh D, Lau WJ, Marioryad H, Jamshidi A, Environ. Res., 183, 109278 (2019)
Chen YF, Shen LG, Li RJ, Xu XC, Hong HC, Lin HJ, Chen JR, J. Colloid Interface Sci., 565, 1 (2020)
Farahbakhsh J, Delnavaz M, Vatanpour V, J. Membr. Sci., 581, 123 (2019)
Ho KC, Teow YH, Mohammad AW, Process Saf. Environ. Protect., 126, 297 (2019)
Schmitt F, Banu R, Yeom IT, Do KU, Biochem. Eng. J., 133, 47 (2018)
Seifollahi Z, Rahbar-Kelishami A, J. Mol., 231, 1 (2017)
Corbaton-Baguena MJ, Vincent-Vela MC, Gozalvez-Zafrilla JM, Alvarez-Blanco S, Lora-Garcia J, Catalan-Martinez D, Sep. Purif., 170, 434 (2016)
Tiwari A, Pal D, Sahu O, Res-Eff Tech., 3, 37 (2017)
Alver A, Kazan Z, Sep. Purif., 230, 115868 (2020)
Choudhury P, Mondal P, Majumdar S, Saha S, Sahoo GC, J. Clean Prod., 203, 511 (2018)
Jun LY, Karri RR, Yon LS, Mubarak N, Bing CH, Mohammad K, Jagadish P, Abdullah E, Environ. Res., 183, 109158 (2020)
Toosi MR, Emami MRS, Hajian S, Environ. Sci. Pollut., 25, 20217 (2018)
Kalaiyarasi M, Ahmad P, Vijayaraghavan P, J. King Saud Univ. Sci., 32, 2134 (2020)
Poorarbabi A, Ghasemi M, Moghaddam MA, Ain Shams Eng. J., In press (2020).
Zhang H, Choi JP, Moon SK. Ngo TH, Addit. Manuf., 33, 101096 (2020)
Ratanasumarn N, Chitprasert P, Int. J. Biol. Macromol., 153, 138 (2020)
Hosseinpour M, Soltani M, Noofeli A, Nathwani J, Fuel, 271, 117618 (2020)
Fayed M, Elhadary M, Abderrahmane HA, Zakher BN, Alex. Eng. J., 58, 1367 (2020)
Alkinani HH, Al-Hameedi ATT, Dunn-Norman S, Lian D, Egypt. J. Pet., 173, 1097 (2019)
Juez-Gil M, Erdakov IN, Bustillo A, Pimenov DY, J. Adv. Res., 18, 173 (2019)
Alameer Z, Elaziz MA, Ewees AA, Ye H, Jianhua Z, Resources Policy, 61, 250 (2019)