scholarly journals Development of a motorised plantain chipping machine and performance evaluation using response surface methodology

2020 ◽  
Vol 45 (4) ◽  
pp. 16-28
Author(s):  
Ukachi Etoamaihe ◽  
Sylvia Isaac
Keyword(s):  
Stainless Steel ◽  
Response Surface Methodology ◽  
Performance Evaluation ◽  
Response Surface ◽  
Connecting Rod ◽  
Cutting Mechanism ◽  
Inclination Angles ◽  
Linear Effects ◽  
And Performance ◽  
Quadratic Effects

A motorised plantain chipping machine was developed. The machine is made up of a cutting device, a feeding mechanism, the support frame and an electric motor as a source of power. The cutting mechanism consists of the stainless steel blades, a connecting rod, a guide frame for the blades and pulleys. The blades are arranged perpendicular to the plantain tubers. During Performance Evaluation using Response Surface Methodology it was found that the chipping efficiency increased as the number of cutting blades are increased. Also the chipping efficiency increased with the speed of the machine but was not affected by the inclination angles of the blades. The linear effects of speed, the linear and quadratic effects of the number of blades significantly affected the chipping efficiency of the machine at 5% probability.

scholarly journals Solar nanophotocatalytic pretreatment of seawater: process optimization and performance evaluation using response surface methodology and genetic algorithm

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Varghese Manappallil Joy ◽  
Shaik Feroz ◽  
Susmita Dutta
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Performance Evaluation ◽  
Response Surface ◽  
Reverse Osmosis ◽  
Membrane Fouling ◽  
Treatment Process ◽  
Cod Removal ◽  
Solar Irradiation ◽  
And Performance

AbstractIn reverse osmosis seawater treatment process, membrane fouling can be mitigated by degrading organic pollutants present in the feed seawater. The present study evaluates the effectiveness of employing solar photocatalysis using TiO2/ZnO/H2O2 to pretreat reverse osmosis (RO) feed seawater under solar irradiation. Process optimisation and performance evaluation were undertaken using response surface methodology-desirability function and RSM integrated with genetic algorithm (RSM-GA). Statistical analysis was performed to determine the interactive relationships and main effects of input factors such as TiO2 dosage, H2O2 dosage, pH, reaction time and ZnO dosage. The performance evaluation was determined in terms of percentage removal of total organic carbon (TOC) and chemical oxygen demand (COD). The obtained optimum values using RSM-GA evaluation for TOC and COD removal were found to be 76.5% and 63.9%, respectively. The predicted RSM-GA results correspond well with the experimental results (TOC removal = 73.3%, COD removal = 61.2%). Utilization of renewable solar energy coupled with optimum utilisation of nanophotocatalysts enables this technique to be a unique treatment process for RO pretreatment of seawater and membrane fouling mitigation.

Fabrication, performance evaluation, and optimisation of adsorptive ammonia removal using hollow fibre ceramic membrane: Response surface methodology approach

2021 ◽  
Vol 316 ◽  
pp. 110932
Author(s):  
Mohd Ridhwan Adam ◽  
Mohd Hafiz Dzarfan Othman ◽  
Siti Hamimah Sheikh Abdul Kadir ◽  
Mohd Hafiz Puteh ◽  
Mohd Riduan Jamalludin ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Performance Evaluation ◽  
Response Surface ◽  
Ceramic Membrane ◽  
Hollow Fibre ◽  
Ammonia Removal

scholarly journals Optimization of cellulase production by bacillus sp. BPPT CC RK2 with pH and temperature variation using response surface methodology

2018 ◽  
Vol 67 ◽  
pp. 02051
Author(s):  
Misri Gozan ◽  
Andre Fahriz Harahap ◽  
Chandra Paska Bakti ◽  
Siswa Setyahadi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Agricultural Waste ◽  
Cellulase Activity ◽  
Preliminary Test ◽  
Cellulase Production ◽  
Bacillus Sp ◽  
Positive Effects ◽  
Rsm Optimization ◽  
Quadratic Effects

Indonesia has abundant ethanol biomass feedstocks. However the second-generation ethanol production process is still hampered by the unavailability of cellulase enzyme in the process of decomposition of lignocellulose into saccharides that can be processed into ethanol through fermentation. Cellulase is known as exozyme produced by Bacillus sp. in submerged fermentation. In this study, cellulase production by Bacillus sp. CC BPPT RK2 on natural and abundant agricultural waste substrates (rice bran and coconut water) was evaluated by investigating the optimum conditions for cellulase production in a 50 ml laboratory scale. Preliminary test using Luria Bentani (LB) medium with additional CMC (1%) were done to select optimum range of pH and Temperature. The preliminary tests results were then followed by optimization of pH and temperature, which were carried out using response surface methodology (RSM). RSM optimization model showed optimum values 6.23 for pH and 40.04 °C, with 14 terms (each with 1 degree of freedom), 4 linear effects, 6 interaction effects and 4 quadratic effects. These optimization by RSM results were slightly different compared to preliminary test, showing the effect of interactions between parameters. The characteristics of interaction among variables tested against the cellulase activity are reported in this study including: positive effects on cellulase activity of the resulting responses; negative interactions affecting the response of cellulase activity; synergistic interaction; and antagonistic interactions between each other.

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