International Journal of Agricultural and Biological Engineering最新文献_第6页

Optimization of a three-row air-suction Brassica chinensis precision metering device based on CFD-DEM coupling simulation 基于CFD-DEM耦合仿真的三排空气吸式芸苔精密计量装置优化

2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231603.7812

Xinping Sun, Hua Li, Xindan Qi, Dinghao Feng, Jianqi Zhou, Yongjian Wang, Samuel Mbugua Nyambura, Xiaoyu Zhang, Xi Chen

{"title":"Optimization of a three-row air-suction Brassica chinensis precision metering device based on CFD-DEM coupling simulation","authors":"Xinping Sun, Hua Li, Xindan Qi, Dinghao Feng, Jianqi Zhou, Yongjian Wang, Samuel Mbugua Nyambura, Xiaoyu Zhang, Xi Chen","doi":"10.25165/j.ijabe.20231603.7812","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231603.7812","url":null,"abstract":"This study aimed to optimize a three-row air-suction Brassica chinensis precision metering device to improve the low seeding performance. ANSYS 17.0 Software was used to analyze the effect of different numbers of suction holes and different suction hole structures on the airflow field. It was found that a suction hole number of 60 was beneficial to the flow field stability and a conical hole structure was beneficial to the adsorption of seeds. Box-Behnken design experiments were carried out with negative pressure, rotational speed, and hole diameter as the experimental factors. The optimal parameter combination was achieved when the negative pressure was 3.96 kPa, the rotational speed of the seeding plate was 1.49 rad/s and the hole diameter was 1.10 mm. The qualification rate of inner, middle, and outer rings were 87.580%, 90.548%, and 90.117%, respectively, and the miss seeding rate of inner, middle, and outer rings were 10.915%, 7.139%, and 5.920%, respectively. Keywords: Brassica chinensis, metering device, airflow field, Box-Behnken design DOI: 10.25165/j.ijabe.20231603.7812 Citation: Sun X P, Li H, Qi X D, Feng D H, Zhou J Q, Wang Y J, et al. Optimization of a three-row air-suction Brassica chinensis precision metering device based on CFD-DEM coupling simulation. Int J Agric & Biol Eng, 2023; 16(3): 130–142.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135358842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic lameness detection in dairy cows based on machine vision 基于机器视觉的奶牛跛行自动检测

2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231603.8097

Zongwei Jia, Xuhui Yang, Zhi Wang, Ruirui Yu, Ruibin Wang

引用次数: 0

Improvement of gelation properties of myofibrillar proteins from porcine longissimus dorsi muscle through microwave combined with air convection thawing treatment 微波联合空气对流解冻改善猪背最长肌纤维蛋白凝胶化性能

2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231603.7842

Fenxia Han, Mingming Zhu, Yi Xing, Hanjun Ma

引用次数: 0

Effect of temperature on the leaching of heavy metals from nickel mine tailings in the arctic area, Norway 温度对挪威北极镍矿尾矿中重金属浸出的影响

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7216

S. Fu, Jin-Quan Lu, I. Walder, Daishe Wu

{"title":"Effect of temperature on the leaching of heavy metals from nickel mine tailings in the arctic area, Norway","authors":"S. Fu, Jin-Quan Lu, I. Walder, Daishe Wu","doi":"10.25165/j.ijabe.20231602.7216","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7216","url":null,"abstract":": The leaching of heavy metals from tailings deposit due to the oxidation of sulphidic tailings and formation of acidic leachate is considered a high risk to the surrounding environment. Temperature plays an important role in the leaching of heavy metals from tailings in changing acid-based environment, especially in the Arctic area. To investigate how the temperature variation affected metal release from tailings in the Arctic area, a series of column leaching experiments was conducted under four temperature situations (5°C, 10°C, 14°C and 18°C). Physicochemical properties, Fe, Zn, Ni and Mn concentrations of leachates at each cycle were measured, and multivariate statistical analysis was applied to research the effect of temperature on heavy metals leaching from tailings in the Arctic area. The results showed that higher temperatures encouraged tailings to oxidation and sulfuration of and promoted heavy metal release from the tailings through precipitation and erosion. Ni, Zn and Mn have similar releasing resources from tailings and positive correlation in the leaching activity. Rising temperature accelerated Fe leaching; Fe leaching promoted leaching of the other metals, especially of Mn. Appropriately increase temperature will accelerate oxidization and sulfidization of the tailings, promote acid generation and increase TDS and, finally, promote the release of heavy metals. Climate change, with rising temperatures increasing the risk of heavy metals leaching from the tailings, should be given greater attention. Keeping tailings away from the appropriate temperature and in a higher alkalinity is a good method to control the leaching of heavy metals from tailings.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"10 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81630699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Kinematic synthesis and simulation of a vegetable pot seedling transplanting mechanism with four exact task poses 具有四种精确任务姿态的蔬菜钵苗移栽机构的运动学综合与仿真

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.6739

Liang Sun, Haoming Xu, Yuzhu Zhou, Jiahao Shen, Gaohong Yu, Huafeng Hu, Yuejun Miao

引用次数: 0

Artificial neural network-based repair and maintenance cost estimation model for rice combine harvesters 基于人工神经网络的水稻联合收割机维修保养成本估算模型

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.5931

A. Numsong, J. Posom, S. Chuan-udom

{"title":"Artificial neural network-based repair and maintenance cost estimation model for rice combine harvesters","authors":"A. Numsong, J. Posom, S. Chuan-udom","doi":"10.25165/j.ijabe.20231602.5931","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.5931","url":null,"abstract":": This research proposes an artificial neural network (ANN)-based repair and maintenance (R&M) cost estimation model for agricultural machinery. The proposed ANN model can achieve high estimation accuracy with small data requirement. In the study, the proposed ANN model is implemented to estimate the R&M costs using a sample of locally-made rice combine harvesters. The model inputs are geographical regions, harvest area, and curve fitting coefficients related to historical cost data; and the ANN output is the estimated R&M cost. Multilayer feed-forward is adopted as the processing algorithm and Levenberg-Marquardt backpropagation learning as the training algorithm. The R&M costs are estimated using the ANN-based model, and results are compared with those of conventional mathematical estimation model. The results reveal that the percentage error between the conventional and ANN-based estimation models is below 1%, indicating the proposed ANN model’s high predictive accuracy. The proposed ANN-based model is useful for setting the service rates of agricultural machinery, given the significance of R&M cost in profitability. The novelty of this research lies in the use of curve-fitting coefficients in the ANN-based estimation model to improve estimation accuracy. Besides, the proposed ANN model could be further developed into web-based applications using a programming language to enable ease of use and greater user accessibility. Moreover, with minor modifications, the ANN estimation model is also applicable to other geographical areas and tractors or combine harvesters of different countries of origin.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"51 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86339653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Posture-invariant hybrid scaling weight measurement algorithm for live eels 活鳗鱼姿态不变混合标度权重测量算法

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7132

Qing Liu, Yuxing Han, Guoqi Yan, J. Mo, Zishang Yang

引用次数: 0

Analysis and performance test on dynamic seed corn threshing and conveying process with variable diameter and spacing 变径变间距动态玉米种子脱粒输送过程分析及性能试验

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231602.7741

Fei Dai, Yuanxiang Liu, Ruijie Shi, Yiming Zhao, Shanglong Xin, Qiufeng Fu, Wuyun Zhao

{"title":"Analysis and performance test on dynamic seed corn threshing and conveying process with variable diameter and spacing","authors":"Fei Dai, Yuanxiang Liu, Ruijie Shi, Yiming Zhao, Shanglong Xin, Qiufeng Fu, Wuyun Zhao","doi":"10.25165/j.ijabe.20231602.7741","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7741","url":null,"abstract":": In order to further reduce the damage rate in threshing seed corn, a seed corn threshing testbed with variable diameter and spacing that can realize dynamic adjustment of parameters, such as feed quantity, rotating speed of the threshing device, threshing spacing of the threshing units, was designed in this research. The software of finite element analysis ANSYS Workbench was applied to do modal analysis on the threshing axis designed for variable diameter and spacing of seed corn. The first 8 orders of natural frequencies were distributed in 201.12-1640.20 Hz, with corresponding vibration amplitude in 5.86-27.04 mm, showing reasonable structural design of the threshing axis, which could realize effective seed corn threshing and conveying. Discrete element method was applied to do simulation analysis on the seed corn threshing and conveying process with variable diameter and spacing. Under the condition of different feed quantity, different rotating speed of the thresher, the moving speed of corn clusters and contact force among clusters were measured through simulation, and the working characteristics of the threshing testbed for low-damage and dynamic threshing and conveying of seed corn with variable diameter and spacing were revealed. Working performance test results of the testbed of seed corn with variable diameter and spacing showed that, when the rotating speed of the threshing axis was 190-290 r/min, feed quantity was 1.80-3.80 kg/s, the damage rate of seed corn was 0.32%-0.63%, threshing rate was 99.20%-99.82%, and content impurity rate was 4.23%-5.86%, the mass of threshed corn grains first increased and then decreased along the axial direction. The test verification process was in line with the simulation results; thus, the test results could satisfy the requirements in design and actual operation.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":"33 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88279331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experiment and parameter optimization of an automatic row following system for the traction beet combine harvester 牵引式甜菜联合收割机自动行跟系统试验及参数优化

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7245

Shenying Wang, Xuemei Gao, Zhao You, Baoliang Peng, Huichang Wu, Zhichao Hu, Yongwei Wang

引用次数: 1

Characteristics and mathematical models of the thin-layer drying of paddy rice with low-pressure superheated steam 低压过热蒸汽对水稻薄层干燥的特性及数学模型

IF 2.4 2区农林科学

International Journal of Agricultural and Biological Engineering Pub Date : 2023-01-01 DOI: 10.25165/j.ijabe.20231601.7810

Yan Li, G. Che, Lin Wan, Qilin Zhang, Tianqi Qu, F. Zhao

引用次数: 0