{"title":"Development of a Guiding-Groove Precision Metering Device for High-Speed Planting of Soybean","authors":"Hao Shen, Zhang Junjie, X. Chen, Jian-Xin Dong, Yuxiang Huang, Jiangtao Shi","doi":"10.13031/TRANS.14307","DOIUrl":null,"url":null,"abstract":"Highlights To improve the performance for precision planting of soybean at high speeds, a guiding groove precision metering device was developed. The seed feeding and clearing processes were analyzed to determine the critical design and operational factors. The effects of critical metering parameters on the meter performance were simulated using the DEM. The metering performance was evaluated using bench tests. ABSTRACT Precision planting is the inevitable trend of agricultural development, and the promotion of precision planting technology is the key to increase crop yield. To improve the performance of precision planting at high speeds, a mechanical-type precision metering device was developed for soybean. The innovative feature of the device was the guiding-groove (GG) that provided “waiting areas” for seeds to form a line and subsequently enter the seed cells in an orderly and rapid fashion. By the force analysis, mechanical model of seed feeding stage was set up. Relationships between design parameters of the meter and the metering performance (multiple index, miss index, quality index and feeding efficiency index) were obtained through simulations using a discrete element model (DEM). The simulations conducted in this study were based on the central composite design (CCD). Then, the relationships were used to determine the design parameters to achieve the best metering performance. With these design parameters, the GG meter was fabricated and evaluated through bench tests. Results showed that the critical design parameters were the width of inner groove-wheel (L), cone angle of the shell (δ), the width of guiding-groove (L1), and the angle of the groove bottom surface to the horizontal plane (ɳ). The relationship between these parameters and metering performance could be described by a second-order polynomial equation, and the best metering performance occurred when L=25.3 mm, δ=23.6°, L1=8.1 mm and ɳ=8.3°. The bench test results showed that the GG meter designed with these optimal design parameters had metering performance values (quality index) of 93% and higher over planter travel speeds of 8 to 15 km h-1. In addition, the coefficients of variation of metering performance over the range of planter travel speeds were lower than 30%.","PeriodicalId":23120,"journal":{"name":"Transactions of the ASABE","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of the ASABE","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.13031/TRANS.14307","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 2
Abstract
Highlights To improve the performance for precision planting of soybean at high speeds, a guiding groove precision metering device was developed. The seed feeding and clearing processes were analyzed to determine the critical design and operational factors. The effects of critical metering parameters on the meter performance were simulated using the DEM. The metering performance was evaluated using bench tests. ABSTRACT Precision planting is the inevitable trend of agricultural development, and the promotion of precision planting technology is the key to increase crop yield. To improve the performance of precision planting at high speeds, a mechanical-type precision metering device was developed for soybean. The innovative feature of the device was the guiding-groove (GG) that provided “waiting areas” for seeds to form a line and subsequently enter the seed cells in an orderly and rapid fashion. By the force analysis, mechanical model of seed feeding stage was set up. Relationships between design parameters of the meter and the metering performance (multiple index, miss index, quality index and feeding efficiency index) were obtained through simulations using a discrete element model (DEM). The simulations conducted in this study were based on the central composite design (CCD). Then, the relationships were used to determine the design parameters to achieve the best metering performance. With these design parameters, the GG meter was fabricated and evaluated through bench tests. Results showed that the critical design parameters were the width of inner groove-wheel (L), cone angle of the shell (δ), the width of guiding-groove (L1), and the angle of the groove bottom surface to the horizontal plane (ɳ). The relationship between these parameters and metering performance could be described by a second-order polynomial equation, and the best metering performance occurred when L=25.3 mm, δ=23.6°, L1=8.1 mm and ɳ=8.3°. The bench test results showed that the GG meter designed with these optimal design parameters had metering performance values (quality index) of 93% and higher over planter travel speeds of 8 to 15 km h-1. In addition, the coefficients of variation of metering performance over the range of planter travel speeds were lower than 30%.
为提高大豆高速精密种植的性能,研制了一种导向槽精密计量装置。分析了种子的饲喂和清除过程,确定了关键的设计和操作因素。利用DEM模拟了关键计量参数对电表性能的影响。通过台架试验对计量性能进行了评价。精准种植是农业发展的必然趋势,推广精准种植技术是提高作物产量的关键。为提高大豆高速精密种植的性能,研制了一种机械式大豆精密计量装置。该装置的创新之处在于导向槽(GG),它为种子形成一条线提供了“等待区”,随后以有序和快速的方式进入种子细胞。通过受力分析,建立了种子输送阶段的力学模型。采用离散元模型(DEM)进行仿真,得到了计量仪表设计参数与计量性能(多重指标、脱靶指标、质量指标和进料效率指标)之间的关系。本研究的模拟基于中心复合设计(CCD)。然后,利用这些关系来确定设计参数,以获得最佳的计量性能。根据这些设计参数,制作了GG仪表,并通过台架试验对其进行了评价。结果表明:内槽轮宽度(L)、壳体锥角(δ)、导向槽宽度(L1)和导向槽底面与水平面的夹角(%)是关键设计参数。当L=25.3 mm, δ=23.6°,L1=8.1 mm, n =8.3°时,测光性能最佳。台架试验结果表明,在播种机8 ~ 15 km h-1的速度下,以这些优化设计参数设计的GG仪的计量性能值(质量指数)达到93%以上。此外,计量性能在播种机行驶速度范围内的变异系数均小于30%。
期刊介绍:
This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.