scholarly journals Experimental Study on Picking Unit Parameters of Brush-rolling Cotton Harvester

2020 ◽  
Vol 189 ◽  
pp. 01010
Author(s):  
Jinkun Pan ◽  
Jianning Yuan ◽  
Lei Shi ◽  
Yutong Zhang ◽  
Zixian Guo
Keyword(s):  
Regression Model ◽  
Loss Rate ◽  
Optimal Parameter ◽  
Parameters Optimization ◽  
Test Results ◽  
Evaluation Indexes ◽  
Surface Method ◽  
Verification Test ◽  
Rotary Speed ◽  
Central Composite

In order to find the optimal combination of the picking unit parameters of the brush-rolling cotton harvester, the parameters optimization experiment were carried out. Taking the rotary speed of brush roller, the working velocity, and the number of brush plates as the experimental factors, the collect rate and the loss rate of struck cotton as the performance evaluation indexes, the quadratic regression orthogonal rotational combing design experiment was carried out. The Central Composite Design response surface method was used to establish the regression model of experimental factors and evaluation indexes, and analyze the influence of each factor on evaluation indexes. Using multi-objective optimization, the optimal parameter combination is as follows: the rotary speed of the brush roller is 350 r/min, the working velocity is 0.5 m/s, the number of brush plates is 6 rows. After the optimization test, the collect rate is 95.58%, and the loss rate of struck cotton is 1.22%. The field verification test shows that the collect rate of 4MSG-3 brush-rolling cotton harvester is 92.86%, and the loss rate of struck cotton is 1.26%. The relative error between verification test results and parameter optimization value is less than 5%, which verifies the reliability of the regression model. This study provides a theoretical basis for optimizing and improving the picking unit’s parameters of the brush-rolling cotton harvester.

Experimental Study on High-Speed WEDM Finishing in Gas Based on Central Composite Design

2013 ◽  
Vol 662 ◽  
pp. 319-322
Author(s):  
Tong Wang ◽  
Yu Mei Lu ◽  
Chao Qun Wang ◽  
Kun Jiang ◽  
Fei Xie ◽  
...  
Keyword(s):  
Regression Model ◽  
Central Composite Design ◽  
Pulse Duration ◽  
High Speed ◽  
High Reliability ◽  
Cutting Speed ◽  
Pulse Interval ◽  
Five Factors ◽  
Verification Test ◽  
Central Composite

Using cutting speed and the roughness as index, the five factors as pulse duration, peak current, offset, ratio of pulse interval to pulse duration and worktable feed were chosen in dry finishing. Based on the single factor experiment, the central composite design (CCD) method is used to study the effects of the five factors and their interactions on cutting speed and the surface roughness and develop empirical models for cutting speed and roughness Ra. Significant order influencing cutting speed and roughness are found. The results of the verification test show that Ra regression model and cutting speed regression model have high reliability, and can achieve significant prediction effect.

Establish the Model of Parameters Optimization of Sheet Metal Forming in Drawing Process Based on Artificial Neural Network

2014 ◽  
Vol 1037 ◽  
pp. 79-82
Author(s):  
Wen Qiong Zhang ◽  
Yong Xian Li ◽  
Wei Wei
Keyword(s):  
Neural Network ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Functional Model ◽  
Parameters Optimization ◽  
Drawing Process ◽  
Test Results ◽  
Evaluation Indexes ◽  
And Performance

The paper establishes the objective functional model of sheet metal forming in drawing process with ANN, a mapping between sheet forming parameters and performance evaluation indexes was built, which provides important preferences for researching and optimizing these parameters. It obtains neural network model of high precision through the training of cross experiment method. At last a model was built. According to the test results, the error of the network were less than 5%.That means the network is available, and also it establishes foundation of the process parameters optimization.

A Study on Coolant Parameters in Internal Grinding of 9CrSi Steel

2019 ◽  
Vol 950 ◽  
pp. 24-31 ◽  
Author(s):  
Le Xuan Hung ◽  
Vu Thi Lien ◽  
Vu Ngoc Pi ◽  
Banh Tien Long
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Central Composite Design ◽  
Flow Rate ◽  
Optimal Parameters ◽  
Machining Processes ◽  
Internal Grinding ◽  
Surface Method ◽  
Internal Cylindrical Grinding ◽  
Central Composite

This paper aims to analysis the effect of coolant parameters on surface roughness in internal cylindrical grinding of annealed 9CrSi steel. The concentration and flow rate of the coolant are investigated in thirteen experiments by central composite design and response surface method. The effect of each parameter and their interaction on the surface roughness are analyzed by their regression model. From that model, optimal parameters are determined to obtain the minimum surface roughness. The measured roughness matches with the predicted roughness from the regression model. This proposed is proven and it can be further applied for optimizing other machining processes.

Design of combined brake system for light weight scooters

2021 ◽  
pp. 095440702110240
Author(s):  
Yuan-Ting Lin ◽  
Chyuan-Yow Tseng ◽  
Jao-Hwa Kuang ◽  
Yeong-Maw Hwang
Keyword(s):  
Ride Comfort ◽  
Brake System ◽  
Force Distribution ◽  
Test Results ◽  
Systematic Method ◽  
Braking Performance ◽  
Evaluation Indexes ◽  
Low Costs ◽  
Braking Force ◽  
Good Agreement

The combined brake system (CBS) is a mechanism that links the front and rear brakes for scooters. For two-wheeled scooters, a CBS with appropriate braking force distribution can reduce the risk of crashing accidents due to insufficient driving proficiency. The design of the braking force distribution for a CBS is challenging to the designer because it has to fulfill many requirements such as braking performance, ride comfort, reliability, and low costs. This paper proposes a systematic method to optimize the parameters of CBS. The evaluation indexes for the design are first discussed. The steps to determine the critical parameter to meet the indexes and a method to predict braking performance are developed. Finally, driving tests are carried out to verify the effectiveness of the proposed method. Experimental results showed that the deceleration of the tested scooter equipped with the designed CBS achieves an average mean fully developed deceleration (MFDD) of 5.246 m/s2, higher than the homologation requirement. Furthermore, the proposed method’s prediction of braking performance is in good agreement with the test results, with errors <1%.

Experiment and Optimization of High-Efficiency Mechanical Separation of Peanut Seedlings and Residual Film Based on Suspension Velocity

2021 ◽  
Vol 64 (4) ◽  
pp. 1381-1389
Author(s):  
Fengwei Gu ◽  
Meng Yang ◽  
Zhichao Hu ◽  
Yanhua Zhang ◽  
Chong Zhang ◽  
...  
Keyword(s):  
Moisture Content ◽  
Rotational Speed ◽  
Loss Rate ◽  
Removal Rate ◽  
Performance Tests ◽  
Test Results ◽  
Material Loss ◽  
Validation Test ◽  
Residual Film ◽  
Forage Utilization

HighlightsAn efficient method for separating peanut seedlings and residual film harvested from film-mulched peanut was proposed, and the mechanism was optimized.The relationships between the suspension velocity and moisture content of different shredded materials were studied.Four-factor, three-level Box-Behnken experiments were carried out and analyzed, and the optimal parameter combination was determined.A validation test was carried out to verify the rationality and accuracy of the optimized regression model.Abstract. To address the problems of lower residual film removal and higher material loss in the forage utilization of peanut seedlings wrapped in residual film, this study explored the relationships between the suspension velocity and moisture content of different shredded materials derived from peanut seedlings and conducted performance tests and parameter optimization for a machine that uses peanut seedlings as forage material. Four-factor, three-level Box-Behnken experiments were designed using the rotational speeds of the shredding shaft, upper fans, and lower fans and the frequency of the vibrating sieve as test factors, and using the residual film removal rate and material loss rate as response values. The test results indicated that the suspension velocity of the shredded materials showed a quadratic relationship with moisture content. The performance tests showed that the significance sequence of the test factors for the residual film removal rate was: rotational speed of the lower fans, rotational speed of the upper fans, rotational speed of the shredding shaft, and frequency of the vibrating sieve. The significance sequence for the material loss rate was: rotational speed of the lower fans, rotational speed of the shredding shaft, frequency of the vibrating sieve, and rotational speed of the upper fans. The parameter optimization and validation test showed that the residual film removal rate was 92.71% and the material loss rate was 8.19% when the rotational speeds of the shredding shaft, upper fans, and lower fans were 1650, 770, and 665 rpm, respectively, and the frequency of the vibrating sieve was 4 Hz. The relative errors between the validation test results and the predicted values from the regression models were less than 3%, which suggests that the regression models are reliable. This study provides a reference for the forage utilization of peanut seedlings harvested from film-mulched peanut and provides a reference for determining the optimal working parameters of forage processing machines. Keywords: Agricultural machinery, Box-Behnken experiment, Optimization, Peanut film-seedling separation, Suspension velocity.

Combining Response Surface Method and Metaheuristic Algorithms for Optimizing SPIF Process

2021 ◽  
Vol 11 (4) ◽  
pp. 1-25
Author(s):  
Amr Ahmed Shaaban ◽  
Omar Mahmoud Shehata
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Single Point ◽  
Experimental Studies ◽  
Optimization Techniques ◽  
Parameters Optimization ◽  
Second Phase ◽  
Fe Model ◽  
Optimum Conditions ◽  
Surface Method

Recently, studies have focused on optimization as a method to reach the finest conditions for metal forming processes. This study tests various optimization techniques to determine the optimum conditions for single point incremental forming (SPIF). SPIF is a die-less forming process that depends on moving a tool along a path designed for a specific feature. As it involves various parameters, optimization based on experimental studies would be costly, hence a finite element model (FE-model) for the SPIF process is developed and validated through experimental results. In the second phase, statistical analyses based on the response surface method (RSM) are conducted. The optimum conditions are determined using the desirability optimization method, in addition to two metaheuristic optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization (PSO). The results of all optimization techniques are compared to each other and a confirmation test using the FE-model is subsequently performed.

scholarly journals Pemodelan Kondisi Optimum Ekstraksi dan Identifikasi Senyawa Penyusun Minyak Atsiri Lada Hitam

2021 ◽  
pp. 99-108
Author(s):  
Shintawati Shintawati ◽  
Analianasari Analianasari ◽  
Zukryandry Zukryandry
Keyword(s):  
Essential Oil ◽  
Respiratory Infections ◽  
Antimicrobial Properties ◽  
Black Pepper ◽  
Operating Conditions ◽  
Solvent Ratio ◽  
Test Results ◽  
Optimum Conditions ◽  
Muscle Disorders ◽  
Surface Method

Black pepper is a spice with a spicy taste and a distinctive aroma that has become known as the King of Spices. The distinctive aroma of black pepper comes from the volatile compounds that make up the essential oil of pepper. Black pepper essential oil has antimicrobial properties that can relieve respiratory infections and relieve muscle disorders. The acquisition of pepper essential oil from the distillation process is influenced by operating conditions. The aim of this study was to identify the composition of black pepper essential oil compounds using GCMS and to optimize the operating conditions (material size, solvent ratio, and distillation time). The method used to determine the optimum condition is using the Response Surface Method (RSM). The results showed that the highest yield of black pepper essential oil from this experiment is 5.14%. The empirical model was also suitable for the experiment and the optimum conditions for producing the maximum pepper oil yield 5,81% were 40 mesh of material size, 0.12 (g.ml-1) of solvent ratio and 162 minutes of distillation time. GCMS test results showed that the main constituents of pepper essential oil are caryophyllene, ocimene, limonene, carene, and a-pinene.

scholarly journals Effects of extended short-term aging duration on asphalt binder behaviour at high temperatures

2016 ◽  
Vol 11 (4) ◽  
pp. 302-312 ◽  
Author(s):  
Meor Othman Hamzah ◽  
Seyed Reza Omranian
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
High Temperatures ◽  
Test Temperature ◽  
Asphalt Binder ◽  
Pavement Performance ◽  
Test Results ◽  
Aging Effects ◽  
Short Term ◽  
Surface Method

Many factors affecting pavement performance include variations in binder composition and environmental conditions during asphalt mixture production. Hence, predicting pavement performance is a difficult task. This paper aims to investigate the effects of short term aging on binder viscosity at high temperature. In order to predict the effects of short term aging on the asphalt binder viscosity at high temperatures, a Response Surface Method was performed on the Rotational Viscometer test results. An experimental matrix was planned based on the central composite design for aging duration and test temperature. The test results showed that aging increased the binder viscosity, while increasing test temperature decreased the corresponding value. However, aging effects differ and depend on binder types, test temperatures and aging conditions. It was also found that the Response Surface Method is a fast, effective and reliable method to predict the effects of aging on binder viscosity behaviour at high temperatures.

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