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 OPTIMIZATION OF THE DESIGN AND OPERATIONAL PARAMETERS OF PLANTER FOR VEGETABLE PIGEON PEA (CAJANUS CAJAN L. MILLSP.) SEED

2021 ◽  
pp. 326-334
Author(s):  
S. Kumar-Patel ◽  
J.B. Bhimani ◽  
B.K. Yaduvanshi ◽  
P. Gupta
Keyword(s):  
Pigeon Pea ◽  
Important Variable ◽  
Nozzle Diameter ◽  
Vacuum Pressure ◽  
Forward Speed ◽  
Operational Parameters ◽  
Use Of Resources ◽  
Seed Spacing ◽  
Rsm Technique

Precision machinery is one of the most important technology in the recent decades in respect to judicious use of resources. In precision machinery one of the most important machine is seeding machines because it picks the seed from the hopper and individually placed in field. An effort has been made to optimize the operational (forward speed and vacuum pressure) and design (nozzle diameter) parameters of the precision seed drill. For optimizing the metering mechanism three parameters i.e. nozzle diameters: 2.00, 2.50, 3.00, 3.50 and 4.0 mm; forward speed: 0.27, 0.55, 0.83, 1.11 and 1.38 m/s and vacuum pressure: 19.33, 39.32, 43.98, 58.64 and 68.63 kPa were selected. The seed to seed spacing was 300 mm. The RSM technique was used to optimize the above parameters. The machine was evaluated on the basis performance parameters like miss index, multiple index, quality of feed index and precision. The optimum value for forward speed, vacuum pressure and the nozzle holes diameter was 0.83 m/s, 43.98 kPa and 3.50 mm, respectively. The most important variable that governs planting phenomenon for vegetable pigeon pea seed is nozzle diameter as well as vacuum pressure.

scholarly journals Application of Electrocoagulation for the Removal of Color from Institutional Wastewater: Analysis with Response Surface Methodology

2021 ◽  
Vol 9 (2) ◽  
pp. 470-479
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
The Other ◽  
Quadratic Model ◽  
Operational Parameters ◽  
Electrode Combination ◽  
Electrocoagulation Process ◽  
Percentage Removal ◽  
Central Composite

The removal percentage of color from institutional wastewater was studied using an electrocoagulation process with different electrode combination at the anode and cathode. This was done by considering operational parameters such as pH at (3, 6 and 9), current at (0.03A, 0.06A and 0.09A) and reaction time at (20, 40 and 60 minutes). When electrode combined in the form of Al-Al (anode-Cathode/Cathode-Anode) and Fe-Fe (anode-Cathode/Cathode-Anode) the percentage removal of color was up to 95.50% and 97.24% respectively. On the other hand around 98.03% and 91.95% of color was removed when Al-Fe (Anode-Cathode) and Fe-Al (Anode-Cathode) combined at pH 9 and 60 minutes of reaction time respectively. Central composite design from response surface methodology was used up to analysis the statistical and mathematical data based on experimental results such as the model was significant for all electrode combinations. Similarly a quadratic model was used for further study of operational effects on the removal (%) of color from institutional wastewater. The value of coefficient of the determination (R2) also indicated the model was a good fit as well as optimization was done by Response Surface Methodology.

scholarly journals Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1043
Author(s):  
Mohammad Askari ◽  
Yousef Abbaspour-Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Ahmed Mohamed El El Shal ◽  
Rashad Hegazy ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Vertical Load ◽  
Forward Speed ◽  
Test Results ◽  
Deep Tillage ◽  
Different Types ◽  
Rsm Model ◽  
Agricultural Tractor ◽  
Different Levels

This study aimed to evaluate the ability of the response surface methodology (RSM) approach to predict the tractive performance of an agricultural tractor during semi-deep tillage operations. The studied parameters of tractor performance, including slippage (S), drawbar power (DP) and traction efficiency (TE), were affected by two different types of tillage tool (paraplow and subsoiler), three different levels of operating depth (30, 40 and 50 cm), and four different levels of forward speed (1.8, 2.3, 2.9 and 3.5 km h−1). Tractors drove a vertical load at two levels (225 kg and no weight) in four replications, forming a total of 192 datapoints. Field test results showed that all variables except vertical load, and different combinations of this and other variables, were effective for the S, DP and TE. Increments in speed and depth resulted in an increase and decrease in S and TE, respectively. Additionally, the RSM approach displayed changes in slippage, drawbar power and traction efficiency, resulting from alterations in tine type, depth, speed and vertical load at 3D views, with high accuracy due to the graph’s surfaces, with many small pixels. The RSM model predicted the slippage as 6.75%, drawbar power as 2.23 kW and traction efficiency as 82.91% at the optimal state for the paraplow tine, with an operating depth of 30 cm, forward speed of 2.07 km h−1 and a vertical load of 0.01 kg.

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