A Gradient Taguchi Method for Engineering Optimization

Hwang, Shun‐Fa; Wu, J.-C.; He, Rong-Song

doi:10.1088/1757-899x/241/1/012022

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…TM deploys a particular set of independent parameters, which are controllable and non-controllable over an accurate area of importance. Hwang et al [18] have already applied TM for engineering optimization. In the current work, various biological and chemical process factors were optimized using TM for the quick rise of growth and iron reduction profile of Escherichia coli -K-12 [13].…”

Section: Introductionmentioning

confidence: 99%

Screening technique on the selection of potent microorganisms for operation in microbial fuel cell for generation of power

Choudhury

Bhunia

Bandyopadhyay

2021

J. Electrochem. Sci. Eng.

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This paper focuses on determination of the influence of electrochemically active microorganisms on the transmission of electrons from the respiratory enzymes to the electrode and assembling of exoelectrogens to the simulated wastewater medium. In this study, the total of eight microorganisms were experimentally tested to exhibit growth and high iron-reducing ability in the absence of mediators. A major connection was observed between the growth and iron-reduction ability of the microorganism. The growth and iron-reduction ability were monitored experimentally over time. Based on output data, the screening was done among eight different microorganisms, where Escherichia coli -K-12 was chosen as the most potent microorganism for its wide application in a microbial fuel cell (MFC). In the present study, various biochemical process factors were optimized statistically using Taguchi methodology for the rapid development of growth and iron-reducing assay conditions. The design of various experimental trials was carried out using five process factors at three levels with orthogonal arrays (OA) layout of L18. Five process factors, including quantity of lactose, volume of trace element solution, inoculum percentage, pH, and temperature, were taken into consideration as imperative process factors and optimized for evaluation of growth of bacteria and iron reduction ability. The larger-is-best signal to noise (S/N) ratio, together with analysis of variance ANOVA, were used during optimization. Anticipated results demonstrated that the enhanced bacterial growth of 124.50 % and iron reduction ability of 112.6 % can be achieved with 8 g/L of lactose, 2 ml of trace element solution, 4 % (v/v) of inoculum, pH 7, and temperature of 35 oC. Furthermore, the growth and iron reduction time profiles of Escherichia coli-K12 were performed to determine its feasibility in MFC. Open circuit voltage of 0.555 V was obtained over batch study on a single chamber microbial fuel cell (SCMFC).

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Section: Introductionmentioning

confidence: 99%