scholarly journals Hydrogen production during direct cellulose fermentation by mixed bacterial culture: The relationship between the key process parameters using response surface methodology

2021 ◽  
pp. 127971
Author(s):  
Roman Zagrodnik ◽  
Anna Duber ◽  
Krystyna Seifert
Keyword(s):  
Response Surface Methodology ◽  
Hydrogen Production ◽  
Response Surface ◽  
Process Parameters ◽  
Bacterial Culture ◽  
Mixed Bacterial Culture ◽  
Cellulose Fermentation ◽  
The Relationship

scholarly journals Optimization of process parameters in mixed sulfide oxidation bacterial culture using response surface methodology as a tool

2019 ◽  
Vol 31 (4) ◽  
pp. 836-843
Author(s):  
Mani Malam Ahmad ◽  
Abd. Aziz Mohd Azoddein ◽  
Mior Ahmad Khushairi Mohd Zahari ◽  
Mazrul Nezam bin Abu Seman ◽  
Mohammed Saedi Jami ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Bacterial Culture ◽  
Sulfide Oxidation ◽  
Optimization Of Process Parameters ◽  
Mixed Sulfide

scholarly journals Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Khairunnisa’ Mohd Zin ◽  
Mohd Izuan Effendi Halmi ◽  
Siti Salwa Abd Gani ◽  
Uswatun Hasanah Zaidan ◽  
A. Wahid Samsuri ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Bacterial Culture ◽  
Dye Decolorization ◽  
Mixed Bacterial Culture ◽  
Direct Blue ◽  
Artificial Neural Network Ann ◽  
Direct Blue 71

The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process. Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye decolorization and degradation dye by a mixed bacterial culture in the deficiency source of carbon and nitrogen. The metagenomics analysis found that the microbial community consists of a major bacterial group of Acinetobacter (30%), Comamonas (11%), Aeromonadaceae (10%), Pseudomonas (10%), Flavobacterium (8%), Porphyromonadaceae (6%), and Enterobacteriaceae (4%). The richest phylum includes Proteobacteria (78.61%), followed by Bacteroidetes (14.48%) and Firmicutes (3.08%). The decolorization process optimization was effectively done by using response surface methodology (RSM) and artificial neural network (ANN). The experimental variables of dye concentration, yeast extract, and pH show a significant effect on DB71 dye decolorization percentage. Over a comparative scale, the ANN model has higher prediction and accuracy in the fitness compared to the RSM model proven by approximated R2 and AAD values. The results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture.

Experimental Study of Injection Conditions for a Thin-Walled Wax Pattern Using Response Surface Methodology

2014 ◽  
Vol 607 ◽  
pp. 185-192 ◽  
Author(s):  
Chang Hui Liu ◽  
Sun Jin ◽  
Xin Min Lai ◽  
Dong Hong Wang ◽  
Yu Lian Wang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Mold Temperature ◽  
Holding Time ◽  
Melt Temperature ◽  
Packing Pressure ◽  
Wax Pattern ◽  
Thin Walled ◽  
The Relationship

In this paper, the relationship between the shrinkage of the thin-walled wax part in the investment casting process (ICP) and the process parameters including mold temperature, melt temperature, packing pressure and holding time are investigated through a series of experiments. The relationship is successfully described by a mathematical regression model which is based on the response surface methodology (RSM). The rationality and adequacy of the mathematical model are checked via analysis of variation (ANOVA) and a sensitivity analysis for process parameters on the dimensional shrinkage variation are conducted which shows that the contribution percentages of mold temperature, melt temperature, packing pressure and holding time are 23.77%, 43.67%, 11.85% and 16.99%, respectively. Additionally, the optimal setting of the process parameters is also obtained by calculating the desirability function. The optimal combination of the mold temperature, melt temperature, packing pressure, and holding time is 74°C, 30°C 25bar, and 5 sec, respectively.

Fiber laser processing of GFRP composites and multi-objective optimization of the process using response surface methodology

2018 ◽  
Vol 53 (11) ◽  
pp. 1459-1473 ◽  
Author(s):  
Shiva Dayal Rao B ◽  
Abhijeet Sethi ◽  
Alok Kumar Das
Keyword(s):  
Response Surface Methodology ◽  
Fiber Laser ◽  
Response Surface ◽  
Process Parameters ◽  
Heat Affected Zone ◽  
Cutting Speed ◽  
Kerf Width ◽  
Laser Irradiance ◽  
Input Process ◽  
Cut Surface

In the present investigation, a continuous wave fiber laser with maximum power of 400 W was used to cut a glass fiber reinforced plastic sheet of 4.56 mm thickness using Nitrogen as assisting gas. The influence processing parameters such as laser irradiance, gas pressure, and cutting speed on the cut surface quality were investigated by using response surface methodology. The different responses of laser cut surface such as upper kerf width, taper percentage along the cut depth, and heat-affected zone on the top surface were measured to analyze the influence of input process parameters on the responses. A statistical analysis on the obtained results was conducted and found that the optimum values of different input process parameters were laser irradiance: 8.28 × 105 watt/cm2, cutting speed: 600 mm/min and assisting gas pressure: 7.84 bar. The corresponding values of responses were upper kerf width: 177.4 µm, taper 0.73%, and heat-affected zone on top surface: 109.23 µm. The confirmation experiments were conducted with the obtained optimum parameter setting and observed that the predicted values and experimental values for upper kerf width, taper percentage and top surface heat-affected zone were within the error limits of 2.52%, 1.84%, and 0.45%, respectively. Furthermore, damages like loose fibers, interlayer fractures, evaporation of matrix material and fiber breakages were observed.

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