scholarly journals Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Harun Akif Kabuk ◽  
Yasar Avsar ◽  
S. Levent Kuzu ◽  
Fatih Ilhan ◽  
Kubra Ulucan

This study investigated the biological treatability of textile wastewater. For this purpose, a membrane bioreactor (MBR) was utilized for biological treatment after the ozonation process. Due to the refractory organic contents of textile wastewater that has a low biodegradability capacity, ozonation was implemented as an advanced oxidation process prior to the MBR system to increase the biodegradability of the wastewater. Textile wastewater, oxidized by ozonation, was fed to the MBR at different hydraulic retention times (HRT). During the process, color, chemical oxygen demand (COD), and biochemical oxygen demand (BOD) removal efficiencies were monitored for 24-hour, 12-hour, 6-hour, and 3-hour retention times. Under these conditions, 94% color, 65% COD, and 55% BOD removal efficiencies were obtained in the MBR system. The experimental outputs were modeled with multiple linear regressions (MLR) and fuzzy logic. MLR results suggested that color removal is more related to COD removal relative to BOD removal. A surface map of this issue was prepared with a fuzzy logic model. Furthermore, fuzzy logic was employed to the whole modeling of the biological system treatment. Determination coefficients for COD, BOD, and color removal efficiencies were 0.96, 0.97, and 0.92, respectively.

1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.


2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can

2013 ◽  
Vol 19 (2) ◽  
Author(s):  
Osman GENCEL ◽  
Cengiz OZEL ◽  
Fuat KOKSAL ◽  
Gonzalo MARTÍNEZ-BARRERA ◽  
Witold BROSTOW ◽  
...  

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