Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : batch reactor


Diclofenac Removal from Wastewater by Iraqi Pillared Clay

Faris H. Al Ani; Ghayda Y. AL-Kindi; Noor Kh. Al-Bidri

Engineering and Technology Journal, 2019, Volume 37, Issue 2C, Pages 281-288
DOI: 10.30684/etj.37.2C.13

This study deals with the removal of Pharmaceutical pollutants such as Diclofenac, which caused hazardous pollutant for human health, from aqueous solution. The aim of this study is an investigation to remove the diclofenac from synthesis wastewater by using of pillared clay that made from Iraqi clay (ALAnbar clay) as adsorbent by using both batch and packed bed reactor to study kinetic model. The experimental work in batch reactor using different parameter (diclofenac, pillared clay and pH) in four beakers for 3 hours in jar test instrument , from the result show pH is the important factor effect on the adsorption process and also show diclofenac removal decreased with increasing pH values, but in constant all parameter effect of the initial concentration of diclofenac in the adsorption process show removal of diclofenac increasing with increasing the amount of adsorbent dosage up to 1000 mg. additional, the result of experimental work in packed bed reactor with different variables such as (initial concentration, flow rate and bed depth) for 6 hours, show the best condition of bed depth is 2 cm, initial concentration 625 mg /l and flow rate 25 h/l.

Fuzzy logic Control of Chemical Processes

Duraid Fadhil Ahmed

Engineering and Technology Journal, 2015, Volume 33, Issue 1, Pages 12-29

The objective of this study was to investigate the closed-loop control strategies for a batch reactor and batch distillation column by using two different control methods. In this paper, Fuzzy logic control is developed and compared with conventional proportional-/integral-derivative controller. In the design of fuzzy controller, the knowledge obtained from the process reaction curve procedure is employed to determine proper membership functions. Fine tuning is obtained alteration the output scaling factor. The forty nine rules are employed to regulate the manipulating variables to a variety of operating conditions and acquire a more flexible learning ability. The robustness of this control structure is studied in the case of set point changes and the fitness function for fuzzy controller is chosen as the integral of the absolute value of the error (IAE). The experimental results suggest that such fuzzy controllers can provide excellent set point-tracking and disturbance rejection. The results show that the fuzzy logic controller has a higher performance, in terms of robustness, response speed and the offset has a smaller average value than that of the conventional controller. According to experimental results, the fuzzy controller was considered more suitable and reliable for the batch reactor and distillation processes control with respect to the conventional controller.