Optimization of Basecutter Structural Parameters for Under-the-Ground Sugarcane Basecutting

2021 ◽  
Vol 37 (2) ◽  
pp. 233-242
Author(s):  
Fenglei Wang ◽  
Shaochun Ma ◽  
Wenli Ke ◽  
Haonan Xing ◽  
Jing Bai ◽  
...  
Keyword(s):  
Power Consumption ◽  
Field Experiments ◽  
Structural Parameters ◽  
Critical Parameters ◽  
List Type ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
High Efficient ◽  
Sugarcane Harvester ◽  
Breaking Index

HighlightsAn under-the-ground basecutting mode was employed, which is different from the typical above-the-ground basecutting mode.A series of field experiments were carried out using the response surface methodology (RSM).The complicated effect of critical parameters on three indicators (stubble breaking index, stubble uprooting index, and power consumption) was explored.The optimal values of critical parameters were determined using a multi-objective optimization method.Abstract. Basecutting is an important process in mechanical sugarcane harvesting, thus, it’s necessary to develop a high-efficient basecutter. The previous research about basecutting has mainly focused on the above-the-ground basecutting instead of under-the-ground basecutting. Therefore, the objective of this study was to analyze how the critical structural parameters, such as blade number (BN), oblique angle and bevel angle of blades (OA, BA), affect the cutting performance of a sugarcane harvester with an under-the-ground basecutting mode. A series of field tests were carried out using Liugong sugarcane harvester. The experimental indexes were determined as stubble breaking index (BI), stubble uprooting index (UI), and power consumption (PC). The ANOVA results indicated that three regression models of indicators were significant, and were in agreement with the test data. Additionally, it was concluded that OA and BN were the two most important factors when optimizing BI, UI, and PC. BA was the last factor to be considered although it had significant effect on BI and UI. The multi-objective optimization results showed that the optimal parameter combination was 3 of BN, 10° of OA, and 20° of BA, and the corresponding BI, UI, and PC reached the minimum. For sugarcane growers, reduced stubble damage and power consumption could increase the sugarcane germination and decrease the harvesting cost, respectively. For sugarcane mills, this cutting mode might cause potential decrease in sugar quality, specifically sediment levels. However, this disadvantage could be overcome by optimizing basecutter parameters. Keywords: Basecutter, Cutting mode, Power consumption, Stubble breaking, Stubble uprooting, Under-the-ground basecutting.

Design and Evaluation of the Key Units in a Rapeseed Direct Seeder Integrated with Plowing-Rotating Combined Tillage

2021 ◽  
Vol 37 (6) ◽  
pp. 1005-1014
Author(s):  
Guoliang Wei ◽  
Qingsong Zhang ◽  
Biao Wang ◽  
QingXi Liao
Keyword(s):  
Field Experiments ◽  
Optimal Parameter ◽  
Structural Parameters ◽  
List Type ◽  
Oil Crops ◽  
Orthogonal Experiments ◽  
Heavy Soil ◽  
Tillage Depth ◽  
Working Parameters ◽  
Orthogonal Field

HighlightsThe seeder combined the plowing and rotating tillage to overcome the heavy soil and a large amount of straws.The plow could lift and turn the soil and straw before rotary tillage.The optimal working parameters of the seeder were obtained by orthogonal field experiments.Abstract. Rapeseed, one of the most important oil crops in China, is mainly planted in the mid-lower reaches of the Yangtze River. However, limited by the special long-term rice-rapeseed rotation, rotary tillage is applied in most of the planted areas apply instead of plow tillage, leading to a shallow arable layer. On the other hand, maintaining a high-quality seedbed for rapeseed becomes a challenge because a large amount of straw remains buried in the soil. As a solution, a rapeseed direct seeder that combines plow tillage and rotary tillage was designed. The structure of the plowing unit, whose key components were a lifting-turning plow and symmetrical plow, was analyzed based on the forming principle of the plow. Furthermore, a mechanical soil throwing model of the rotary tillage blade was built to determine the structural parameters. Then, the interaction between the rotary tillage unit and the lift-turning plow was analyzed. Finally, the performance and optimal parameters were evaluated by orthogonal field experiments. The seedbed after the operations indicated that the seeder could achieve the function of turning the soil and straw first and then rotating the soil with good passability, mixing the straw and the soil, flattening the surface of the seed bed, and stabilizing the tillage depth. Orthogonal experiments showed that the optimal working parameters of the seeder were as follows: the tillage depth was 180 mm, the equipment forward speed was 2.1 km/h, and the speed of the rotary tillage blade was 250 r/min. Under the optimal parameter combination, the power consumption of the seeder, the thickness of the tillage layer, the crop residue burial efficiency, the soil breakage efficiency, and the flatness of the seed bed surface were 30.48 kW, 231 mm, 90.88%, 93.26%, and 21.15 mm, respectively. The working performance of the seeder could meet the tillage requirements of rapeseed planting. Keywords: Direct seeder, Evaluation, Plow, Plowing-rotating combined tillage, Rapeseed.

scholarly journals Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2426 ◽  
Author(s):  
Bo Yu ◽  
Shuai Wu ◽  
Zongxia Jiao ◽  
Yaoxing Shang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Consumption ◽  
Analytic Hierarchy Process ◽  
Optimization Design ◽  
Pareto Front ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Hierarchy Process

During the last few years, the concept of more-electric aircraft has been pushed ahead by industry and academics. For a more-electric actuation system, the electrohydrostatic actuator (EHA) has shown its potential for better reliability, low maintenance cost and reducing aircraft weight. Designing an EHA for aviation applications is a hard task, which should balance several inconsistent objectives simultaneously, such as weight, stiffness and power consumption. This work presents a method to obtain the optimal EHA, which combines multi-objective optimization with a synthetic decision method, that is, a multi-objective optimization design method, that can combine designers’ preferences and experiences. The evaluation model of an EHA in terms of weight, stiffness and power consumption is studied in the first section. Then, a multi-objective particle swarm optimization (MOPSO) algorithm is introduced to obtain the Pareto front, and an analytic hierarchy process (AHP) is applied to help find the optimal design in the Pareto front. A demo of an EHA design illustrates the feasibility of the proposed method.

scholarly journals Multi-performance Target Collaborative Optimization Methods for Battery Electric Vehicle

2021 ◽  
Author(s):  
Chen Yawei ◽  
Chen Qian ◽  
Liu Jurui ◽  
Hao Xixiang ◽  
Yuan Chenheng
Keyword(s):  
Power Consumption ◽  
Ride Comfort ◽  
Simulation Software ◽  
Collaborative Optimization ◽  
Pareto Optimum ◽  
Stability Factor ◽  
Multi Objective Optimization ◽  
Analysis Model ◽  
Multi Objective ◽  
Target Values

Abstract The present studies on battery electric vehicles (BEVs) has mainly focused on the single-objective or weighted multi-objective optimization based on energy management, which can not manifest the coupling relationship among the vehicle performance objectives essentially. To optimize the handling stability, ride comfort and economy of BEV, this paper built the stability dynamics analysis model, ride comfort simulation half-car model and power consumption calculation model of BEV, as well as two-point virtual random excitation model on Level B road and proposed related evaluation indexes, including vehicle handling stability factor, weighted acceleration root-mean-square (RMS) value of vertical vibration at the driver’s seat and power consumption per 100 m at a constant speed. The Pareto optimum principle–based multi-objective evolutionary algorithm (MOEA) of BEV was also designed, which was encoded with real numbers and obtained the target values of all optional schemes via MATLAB/Simulink simulation software. The merits and demerits of alternative schemes could be judged according to the Pareto dominance principle, so that alternative schemes obtained after optimization were realizable. The results of simulation experiment suggest that the proposed algorithm can perform the multi-objective optimization on BEV, and obtain a group of Pareto optimum solutions featured by high handling stability, favorable ride comfort and low energy consumption for the decision-makers.

scholarly journals Multi-Objective Optimization of Structural Parameters for Rotary Flow Jetting Tool Based on Orthogonal Experiment

2020 ◽  
Vol 15 (6) ◽  
pp. 865-871
Author(s):  
Leilei Liu ◽  
Jie Liu ◽  
Zuqing He ◽  
Huanle Liu ◽  
Chao Zhou ◽  
...  
Keyword(s):  
Orthogonal Experiment ◽  
Structural Parameters ◽  
Fluid Simulation ◽  
Multi Objective Optimization ◽  
Pipe Length ◽  
Multi Objective ◽  
Gas Recovery ◽  
Orthogonal Experiments ◽  
Wing Width ◽  
Principle Of Similarity

There is no precedent for the application of rotary flow jetting tool in the drainage gas recovery under gas wells. Based on the motion principles of jet flow and vortex flow, this paper designs a downhole rotary flow jetting tool, and verifies the feasibility of the tool through fluid simulation. Next, an indoor experiment device was established for drainage gas recovery with rotary flow jetting tool by the principle of similarity, and the structural parameters of the tool were subject to multi-objective optimization through orthogonal experiments. The optimized tool can achieve ideal rotary flow height and discharge volume. The results show that the proposed rotary flow jetting tool can effectively separate gas from liquid, and produce a rotary flow. The optimal structural parameters were determined as follows: the pitch diameter of spiral body is 45mm, the throat pipe length is 247mm, the spiral angle is 55°-60°, the spiral wing width is 4-6mm, and the nozzle diameter is 15-25mm. In addition, the number of side holes of the throat pipe has little effect on the jetting effect.

scholarly journals Multi-objective Optimization of Compliant Parallel Platform for Desired Stiffness and Workspace

2021 ◽  
Author(s):  
Hongwei Xu ◽  
Haibo Zhou ◽  
Zhiqiang Li ◽  
Xia Ju
Keyword(s):  
Numerical Model ◽  
Optimization Problem ◽  
Structural Parameters ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Element Analysis ◽  
Multi Objective ◽  
Performance Indexes ◽  
Parallel Platform ◽  
The Relationship

Abstract Stiffness and workspace are crucial performance indexes of a precision mechanism. In this paper, an optimization method is presented, for a compliant parallel platform to achieve desired stiffness and workspace. First, a numerical model is proposed to reveal the relationship between structural parameters, desired stiffness and workspace of the compliant parallel platform. Then, the influence of the various parameters on stiffness and workspace of the platform is analyzed. Based on Gaussian distribution, the multi-objective optimization problem is transformed into a single-objective one, in order to guarantee convergence precision. Furthermore, particle swarm optimization is used to optimize the structural parameters of the platform, which significantly improve its stiffness and workspace. Last, the effectiveness of the proposed numerical model is verified by finite element analysis and experiment.

scholarly journals Grey Wolf Algorithm and Multi-Objective Model for the Manycast RSA Problem in EONs

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 398
Author(s):  
Hejun Xuan ◽  
Lidan Lin ◽  
Lanlan Qiao ◽  
Yang Zhou
Keyword(s):  
Optical Networks ◽  
Optimization Model ◽  
High Performance ◽  
Uniform Design ◽  
Optimization Method ◽  
Research Field ◽  
Grey Wolf ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
High Efficient

Manycast routing and spectrum assignment (RSA) in elastic optical networks (EONs) has become a hot research field. In this paper, the mathematical model and high efficient algorithm to solve this challenging problem in EONs is investigated. First, a multi-objective optimization model, which minimizes network power consumption, the total occupied spectrum, and the maximum index of used frequency spectrum, is established. To handle this multi-objective optimization model, we integrate these three objectives into one by using a weighted sum strategy. To make the population distributed on the search domain uniformly, a uniform design method was developed. Based on this, an improved grey wolf optimization method (IGWO), which was inspired by PSO (Particle Swarm Optimization, PSO) and DE (Differential Evolution, DE), is proposed to solve the maximum model efficiently. To demonstrate high performance of the designed algorithm, a series of experiments are conducted using several different experimental scenes. Experimental results indicate that the proposed algorithm can obtain better results than the compared algorithm.

scholarly journals Establishing Surrogate Model to Predict the Optimal Thermodynamic and Economic Performance of a Packed Bed Humidifier via Multi-Objective Optimization

2021 ◽  
Vol 13 (15) ◽  
pp. 8346
Author(s):  
Junjie Chen ◽  
Dong Han ◽  
Weifeng He ◽  
Majid Amidpour
Keyword(s):  
Genetic Algorithm ◽  
Economic Performance ◽  
Regression Models ◽  
Packed Bed ◽  
Critical Parameters ◽  
Computational Time ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Thermodynamic Performance ◽  
Gas Ratio

In this paper, to optimize the thermodynamic and economic performance of a packed bed humidifier, a multi-objective optimization combined response surface method with a genetic algorithm is employed. The critical parameters, including geometric and thermodynamic parameters, are designated as the impact factors, and the objective functions contain unit humidification capacity of volume and unit humidification capacity of cost in a Box–Behnken design. The results of the analysis of variance demonstrated that the quadratic regression models of objectives are reliable and robust. It is found that the liquid–gas ratio, the interaction of the liquid–gas ratio, and inlet water temperature are simultaneously the strongest influence factors for the thermodynamic and economic indicators among the independent and interactive parameters. In addition, the optimal parameter group is found out through a genetic algorithm, and the actual optimal results are obtained as 0.11 kgs−1m−3 for thermodynamic performance and 15.86 kg$−1 for economic performance. Furthermore, it is shown that the thermodynamic performance improves by 56% and the economic performance increases by 6.55%, compared with optimum experimental design points. During the optimization design process, the computational time to find the optimal values reduces from 69,000 s with previous mathematical models to 10 s with established regression models. Additionally, a series of Pareto-optimal points for possible best thermodynamic and economic performance give the reference for the designers of packed bed humidifiers.

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