Issue
Total 12 articles [ 키워드: Industrial Waste ]
No. Article
1 Korean Journal of Chemical Engineering, 39 (7), pp.1821-1830 (2022)
Ultrasonication coupled electrochemical treatment of sugar industry wastewater: Optimization, and economic evaluation
Patel RK, Shankar R, Khare P, et al.
2 Korean Journal of Chemical Engineering, 38 (11), pp.2279-2285 (2021)
Evaluation of elemental leaching behavior and morphological changes of steel slag in both acidic and basic conditions for carbon sequestration potential
Hong SJ, Park AHA, Park YJ
3 Korean Journal of Chemical Engineering, 38 (9), pp.1859-1869 (2021)
Removal of boron from industrial wastewater using PVP/PVDF blend membrane and GO/PVP/PVDF hybrid membrane by pervaporation
Ozekmekci M, Unlu D, Copur M
4 Korean Journal of Chemical Engineering, 37 (12), pp.2273-2286 (2020)
Adsorption of copper ions from aqueous media using montmorillonite-Al2O3 nano-adsorbent incorporated with Fe3O4 for facile separation
Saadat F, Zerafat MM, Foorginezhad S
5 Korean Journal of Chemical Engineering, 36 (8), pp.1209-1225 (2019)
An overview of nanomaterials for industrial wastewater treatment
Abdelbasir SM, Shalan AE
6 Korean Journal of Chemical Engineering, 34 (2), pp.384-391 (2017)
Adsorption of silver ions from industrial wastewater using waste coffee grounds
Jeon C
7 Korean Journal of Chemical Engineering, 33 (9), pp.2589-2601 (2016)
Physico-chemical study of dew melon peel biochar for chromium attenuation from simulated and actual wastewaters
Ahmadi M, Kouhgardi E, Ramavandi B
8 Korean Journal of Chemical Engineering, 31 (12), pp.2207-2214 (2014)
Abatement of Cr (VI) from wastewater using a new adsorbent, cantaloupe peel : Taguchi L16 orthogonal array optimization
Ramavandi B, Asgari G, Faradmal J, et al.
9 Korean Journal of Chemical Engineering, 31 (11), pp.2003-2007 (2014)
Direct ethanol production from dextran industrial waste water by Zymomonas mobilis
He M, Qin H, Yin X, et al.
10 Korean Journal of Chemical Engineering, 29 (5), pp.636-643 (2012)
Modeling of a paper-making wastewater treatment process using a fuzzy neural network
Huang M, Wan J, Wang Y, et al.
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