scholarly journals Optimization of Operational Parameters of an Improved Maize Sheller Using Response Surface Methodology

2021 ◽  
Vol 2 (2) ◽  
pp. 413-424
Author(s):  
Adewale SEDARA ◽  
Emmanuel ODEDİRAN
Keyword(s):  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Moisture Content ◽  
Response Surface ◽  
Feed Rate ◽  
Factorial Experiment ◽  
Throughput Capacity ◽  
Operational Parameters ◽  
Commercial Farms ◽  
Machine Speed

The research was carried out to optimize parameters for evaluating an improved motorize maize sheller. Statistical analysis was performed using response surface methodology (RSM) with 3 by 3 factorial experiment with 3 replicates. The three parameters are speed (850 rpm, 950 rpm and 1100 rpm), moisture content (12, 15, and 17%) and feed rate (120 kg h-1, 130 kg h-1 and 140 kg h-1) used to illustrate the ability of the machine to shell maize (throughput capacity, shelling rate and machine efficiency). Results obtained showed that for optimum throughput capacity of 630.97 kg h-1; shelling rate 485.34 kg h-1 and machine efficiency 93.86% of the machine; is maximum for 129.6 kg h-1 feed rate and moisture content 16.49% and machine speed of 1026.9 rpm. The machine can be used on commercial farms with these operational results.

scholarly journals Optimization of Operational Parameters of an Improved Maize Sheller Using Response Surface Methodology

2021 ◽  
Vol 2 (2) ◽  
pp. 413-424
Author(s):  
Adewale SEDARA ◽  
Emmanuel ODEDİRAN
Keyword(s):  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Moisture Content ◽  
Response Surface ◽  
Feed Rate ◽  
Factorial Experiment ◽  
Throughput Capacity ◽  
Operational Parameters ◽  
Commercial Farms ◽  
Machine Speed

The research was carried out to optimize parameters for evaluating an improved motorize maize sheller. Statistical analysis was performed using response surface methodology (RSM) with 3 by 3 factorial experiment with 3 replicates. The three parameters are speed (850 rpm, 950 rpm and 1100 rpm), moisture content (12, 15, and 17%) and feed rate (120 kg h-1, 130 kg h-1 and 140 kg h-1) used to illustrate the ability of the machine to shell maize (throughput capacity, shelling rate and machine efficiency). Results obtained showed that for optimum throughput capacity of 630.97 kg h-1; shelling rate 485.34 kg h-1 and machine efficiency 93.86% of the machine; is maximum for 129.6 kg h-1 feed rate and moisture content 16.49% and machine speed of 1026.9 rpm. The machine can be used on commercial farms with these operational results.

scholarly journals Development and Optimization of a Manual Fed Cassava Root Chipper for Household Cassava Processors

2020 ◽  
pp. 283-295
Author(s):  
Macmanus NDUKWU ◽  
Gabriel AFAM ◽  
Nnaemeka NWAKUBA
Keyword(s):  
Moisture Content ◽  
Feed Rate ◽  
Initial Moisture Content ◽  
Throughput Capacity ◽  
Optimum Thickness ◽  
Cassava Root ◽  
Effect Of Moisture ◽  
Machine Speed ◽  
Content Range ◽  
Constant Feed Rate

A motorized, manual fed cassava root chipping machine was developed, evaluated and optimized. The objective of the research is to investigate the effect of moisture content and speed on the chipping sizes, efficiency, throughput and machine capacities. Obtained results showed that the cassava initial moisture content significantly affected the chipping size, machine capacity, throughput capacity and chipping efficiency within the tested moisture content range of 52 to 68% w.b. The machine speed also affected the chipping size, chipping efficiency, machine and throughput capacity. The average chipping size for the cassava chips at the four ranges of moisture content, speeds and constant feed rate of 89±26.6 kg h-1 ranged from 0.56 to 0.96 cm with optimum thickness 0.618 at 450 rpm and moisture content of 65.27% based on desirability factor. The average chipping efficiency ranged from 60 to 90% with an optimum value of 79.57% at 533 rpm and moisture content of 68 % while the throughput capacities of the machine ranged from 49 to118 kg/h with optimum value of 118 kg/h at a speed of 600 rpm and 68% moisture content.

scholarly journals Performance Optimization of Groundnut Shelling Using Response Surface Methodology

2021 ◽  
Vol 24 (1) ◽  
pp. 1-7
Author(s):  
Aliyu Idris Muhammad ◽  
Moshud Isiaka ◽  
Muhammed Lawal Attanda ◽  
Sarafadeen Kolawole Shittu ◽  
Ibrahim Lawan ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Moisture Content ◽  
Response Surface ◽  
Performance Optimization ◽  
Feed Rate ◽  
Performance Indices ◽  
Cleaning Efficiency ◽  
Output Capacity ◽  
Order Polynomial ◽  
Input Variables

AbstractThis study evaluated the influence of drum speed, moisture content, and feed rate on the performance indices of groundnut sheller using Ex-Dakar groundnut variety. Response surface methodology was used to study the influence of input variables and optimize the processing conditions. The developed second-order polynomial model adequately described the performance responses, including output capacity, shelling and cleaning efficiencies, and kernel damage. The input variables indicated significant influences on performance responses. The optimized processing variables for the responses were drum speed of 210 rpm, moisture content of 8%, and feed rate of 350 kg∙h−1. The optimum responses obtained were output capacity of 302.52 kg∙h−1, shelling efficiency of 97.61%, cleaning efficiency of 53.16%, and kernel damage of 4.04%. These performance responses were validated experimentally and were close to the observed results.

Optimization of the operational parameters of a picking-type pneumatic planter using response surface methodology

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
SK PATEL ◽  
JB BHIMANI ◽  
P GUPTA ◽  
BK YADUVANSHI
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Important Variable ◽  
Vacuum Pressure ◽  
Forward Speed ◽  
Operational Parameters ◽  
Seed Spacing ◽  
Lady’S Finger ◽  
Multiple Regression Technique ◽  
Seed Metering Device

Singulation of seeds has been investigated extensively by researchers all over the world and a large number of precision seeding systems with design variations have been developed for different crops. A picking type metering mechanism was developed at CAET, AAU, Godhra, Gujarat, India. The performance of the picking type seed-metering device of a pneumatic planter was investigated under laboratory conditions to optimize the operating parameters for lady's finger seed. The picking of single seed the three operational parameters i.e. hole diameters for the nozzle: 1.0, 1.5, 2.5 and 3.0 mm; forward speed: 0.37, 0.56, 0.83, 1.11 and 1.30 m/s and vacuum pressure: 19.33, 39.32, 43.98, 58.64 and 68.63 kPa were selected for the study. The metering system of the planter was set to place the seed to seed spacing at 300 mm. The response surface methodology (RSM) technique was used to optimize the operational parameters of a precision planter. For optimizing the forward speed, vacuum pressure and nozzle size for developed machine was evaluated by examining the miss index, multiple index, quality of feed index and precision. The data obtained in the experiments were used to develop functions in polynomial form using multiple regression technique. The optimum value was found to be around 0.96 m/s, 36.25 kPa and 2.0 mm of forward speed, vacuum pressure and the holes diameter of nozzle, respectively. The most important variable that governs planting phenomenon is the combination of hole diameter of nozzle and vacuum pressure accounts 89.18 per cent.

scholarly journals Pelletization of Sunflower Seed Husks: Evaluating and Optimizing Energy Consumption and Physical Properties by Response Surface Methodology (RSM)

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 591 ◽  
Author(s):  
Xuyang Cui ◽  
Junhong Yang ◽  
Xinyu Shi ◽  
Wanning Lei ◽  
Tao Huang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Energy Consumption ◽  
Moisture Content ◽  
Physical Properties ◽  
Response Surface ◽  
Sunflower Seed ◽  
Biomass Energy ◽  
Raw Material ◽  
The Novel ◽  
Seed Husk

Pelletization is a significant approach for the efficient utilization of biomass energy. Sunflower seed husk is a common solid waste in the process of oil production. The novelty of this study was to determine the parameters during production of a novel pellet made from sunflower seed husk. The energy consumption (W) and physical properties (bulk density (BD) and mechanical durability (DU)) of the novel pellet were evaluated and optimized at the laboratory by using a pelletizer and response surface methodology (RSM) under a controlled moisture content (4%–14%), compression pressure (100–200 MPa), and die temperature (70–170 °C). The results show that the variables of temperature, pressure, and moisture content of raw material are positively correlated with BD and DU. Increasing the temperature and moisture content of raw materials can effectively reduce W, while increasing the pressure has an adverse effect on W. The optimum conditions of temperature (150 °C), pressure (180 MPa), and moisture content (12%) led to a BD of 1117.44 kg/m3, DU of 98.8%, and W of 25.3 kJ/kg in the lab. Overall, although the nitrogen content was slightly high, the novel manufactured pellets had excellent performance based on ISO 17225 (International Organization for Standardization of 17225, Geneva, Switzerland, 2016). Thus, sunflower seed husk could be considered as a potential feedstock for biomass pelletization.

A predictive model for the synthesis of polylactide from lactic acid by response surface methodology

e-Polymers ◽  
2011 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Agarwal ◽  
A. Mondal ◽  
P.K. Mishra ◽  
P. Srivastava
Keyword(s):  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Response Surface ◽  
Process Optimization ◽  
Model Equation ◽  
Statistical Significance ◽  
Polynomial Model ◽  
Statistical Process ◽  
Central Composite Experimental Design ◽  
Experimental Values

AbstractThe present work describes the statistical process optimization of a lowcost production process of PLA using organometallic (stannous octoate) compounds. The process optimization for both lactide and polylactide, was developed by factorial design and response surface methodology. The influence of different experimental parameters such as reaction temperature, time, concentration of catalyst and co-initiator concentration on the yield of lactide and polylactide has been evaluated. There are many studies reported on the synthesis of polylactide but no earlier study exists for the application of statistical analysis in determining the interactions among the process variables for lactide and polylactide production. Central composite experimental design with multiple linear regression has been used to estimate the coefficients of the polynomial model equation for the yield(s) of both lactide and polylactide. The statistical significance of polynomial model equation was validated by F test (ANOVA). Determination coefficient (R2) values found to be 0.913 and 0.958 for lactide and polylactide respectively, states that predicted values were in good agreement with the experimental values. Results of the statistical analysis showed that the model fits in all cases. Above synthesised polymer was characterized by FT-IR, 1H-NMR, DSC and GPC to confirm the polymer structure and properties.

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