Optimization of process variables for acetoin production in a bioreactor using Taguchi orthogonal array design

Taiwo, Abiola Ezekiel; Madzimbamuto, Tafirenyika Nyamayaro; Ojumu, Tunde Victor

doi:10.1016/j.heliyon.2020.e05103

Cited by 31 publications

(14 citation statements)

References 23 publications

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“…The ratio of the mean of squared deviations to the mean of squared errors ratio (F-value) shows the relative significance of each parameter of the experiment. In this research, since the degree of freedom of error was zero due to the selection of an over-fitted design [ 13 ], the contribution of each factor on the properties of AASC (responses) was calculated based on Equation (11) [ 70 ].

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Section: Methodsmentioning

confidence: 99%

Optimized Alkali-Activated Slag-Based Concrete Reinforced with Recycled Tire Steel Fiber

et al. 2022

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This study employed Taguchi-Grey relational analysis to optimize the influences of binder content, the molarity of sodium hydroxide (SH) solution, alkaline solution to binder content (Al/Bi) ratio, water to alkali-activated solids (W/S) ratio, and sodium silicate to sodium hydroxide solution (SS/SH) ratio on the workability, setting time, and compressive strength of alkali-activated slag-based concrete (AASC). Then, the recycled tire steel fibers (RTSF) were introduced into the optimized mixture in different dosages, and the physical and mechanical properties of fiber-reinforced AASC (FR-AASC) were evaluated. RTSF inclusion negatively affected the workability and increased the density while slightly reducing the water absorption. Additionally, the compressive strength and flexural behavior of FR-AASC improved by increasing the RTSF content. The analysis of images taken from flexural specimens through the Digital Image Correlation technique (DIC) revealed that higher RTSF dosage caused a curved macro crack with several branches alongside, leading to a better post-cracking performance in terms of strength and toughness.

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…”

Section: Methodsmentioning

confidence: 99%

Optimized Alkali-Activated Slag-Based Concrete Reinforced with Recycled Tire Steel Fiber

et al. 2022

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“…Therefore, the percentage contribution of each examined parameter was calculated directly by computing the ratio of the sum of squares of each parameter (Equation [4]) to the total sum of squares of all examined parameters (Equation [5]) based on Equation (6). 60,63…”

Section: Methodsmentioning

confidence: 99%

“…As the DOF of error was zero due to the selection of over‐fitted design, the F ‐value, which is the ratio of the mean of squared deviations to the mean of squared errors, 60 could not be computed. Therefore, the percentage contribution of each examined parameter was calculated directly by computing the ratio of the sum of squares of each parameter (Equation []) to the total sum of squares of all examined parameters (Equation []) based on Equation () 60,63

{SS}_{i} = {false\sum}_{j = 1}^{n} n (S / N_{italicji} ‐ S / N_{Mean})

{SS}_{t} = {false\sum}_{i = 1}^{n} {((), S / N_{i} ‐ S / N_{Mean})}^{2}

{PC}_{i} = \frac{{SS}_{i}}{{SS}_{t}} \times 100

…”

Section: Methodsmentioning

confidence: 99%

Splitting tensile strength of recycled tire steel fiber‐reinforced alkali‐activated slag concrete designed by Taguchi method

Eskandarinia

Esmailzade

Aslani

2022

Structural Concrete

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Despite offering several benefits in terms of environment and economics, few studies were conducted on the ground granulated blast furnace slag (GGBFS) based alkali-activated concrete reinforced with recycled tire steel fibers (RTSFs). Therefore, this paper employed the Taguchi method to investigate and optimize the influence of GGBFS content, the alkaline solution to GGBFS content ratio, sodium hydroxide solution concentration, and RTSF volume fraction on splitting tensile strength (STS) of recycled tire steel fiberreinforced alkali-activated slag concrete (RTSFR-AASC). The microstructural evaluation was done through scanning electron microscopy, and Fourier transform infrared spectroscopy (FTIR) analyses. The results indicated that the fiber content, the most efficient parameter on STS, led to a considerable enhancement in the performance characteristic. Microstructural analysis proved the variations in formation of C-S-H gel. The results of the confirmation experiment on the proposed optimized RTSFR-AASC mixture with the highest 28-day STS (7.11 MPa) confirmed the effectiveness of the Taguchi method. K E Y W O R D Sfiber-reinforced alkali-activated concrete, ground granulated blast furnace slag, microstructural analysis, recycled tire steel fiber, splitting tensile strength, Taguchi method

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“…Several factors augment the complexity of the design, including the curing conditions, composition of the raw materials, soluble silicate content, and the activation solution and its alkalinity. As such, mixes become cumbersome and practically inconclusive without an excessive trial-and-error analysis [19]; thus, extensive experiments are needed to deduce the optimum mix while satisfying the desired performance [30]. Optimization techniques can be employed based on the desired performances or criteria to overcome such complex processes and excessive trial mixes and deduce the desired optimum mix using a limited number of experiments [31].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method

et al. 2022

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This paper evaluates the effect of mix design parameters on the mechanical, hydraulic, and durability properties of pervious geopolymer concrete (PGC) made with a 3:1 blend of granulated blast furnace slag (GBFS) and fly ash (FA). A total of nine PGC mixtures were designed using the Taguchi method, considering four factors, each at three levels, namely, the binder content, dune sand addition, alkaline-activator solution-to-binder ratio (AAS/B), and sodium hydroxide (SH) molarity. The quality criteria were the compressive strength, permeability, and abrasion resistance. The Taguchi and TOPSIS methods were adopted to determine the signal-to-noise (S/N) ratios and to optimize the mixture proportions for superior performance. The optimum mix for the scenarios with a compressive strength and abrasion resistance at the highest weights was composed of a binder content of 500 kg/m3, dune sand addition of 20%, AAS/B of 0.60, and SH molarity of 12 M. Meanwhile, the optimum mix for the permeability-dominant scenario included a 400 kg/m3 of binder content, 0% of dune sand addition, 0.60 of AAS/B, and 12 M of SH molarity. For a balanced performance scenario (i.e., equal weights for the responses), the optimum mix was similar to the permeability scenario with the exception of a 10% dune sand addition. An ANOVA showed that the binder content and dune sand addition had the highest contribution toward all the quality criteria. Multivariable regression models were established to predict the performance of the PGC using the mix design factors. Experimental research findings serve as a guide for optimizing the production of PGC with a superior performance while conducting minimal experiments.

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Optimization of process variables for acetoin production in a bioreactor using Taguchi orthogonal array design

Cited by 31 publications

References 23 publications

Optimized Alkali-Activated Slag-Based Concrete Reinforced with Recycled Tire Steel Fiber

Optimized Alkali-Activated Slag-Based Concrete Reinforced with Recycled Tire Steel Fiber

Splitting tensile strength of recycled tire steel fiber‐reinforced alkali‐activated slag concrete designed by Taguchi method

Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method

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