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Multiparameter collaborative optimization of the vibrating screen based on the behavior of oil sunflower seed penetrating screen holes

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 49-58页

作者： Wenbo Wei Jianchang Li Jianjun Hao maohua xiao Huiju Zhang College of Mechanical and Electrical Engineering Hebei Agricultural UniversityBaoding 071001HebeiChina College of Engineering Nanjing Agricultural UniversityNanjing 210032China The Higher Educational Key Laboratory for Flexible Manufacturing Equipment Integration of Fujian Province Xiamen Institute of TechnologyXiamen 361000FujianChina

The behavior of oil sunflower seeds penetrating screen holes is an important factor that affects the screening performance of oil sunflower *** this study,a double-deck reverse-motion vibrating screening device for oil sunflower seed screening was *** force condition and motion law of the oil sunflower seeds on the screen surface were *** study compared the effect of particle filling amount of discrete element model of oil sunflower seeds on the simulation *** screening process was numerically simulated using the coupled Discrete Element Method and Multibody Dynamics(DEM-MBD)technique with the screening percentage of oil sunflower seeds as the *** influence of the operating parameters of the vibrating screen on the screening effect was analyzed using a multiparameter collaborative optimization *** results of this study can provide a reference for the numerical simulation of crop screening behavior and the development of screening devices.

关键词： oil sunflower seeds screening analysis DEM-MBD discrete element method response surface analysis

Fuel economy of multiple conditions self-adaptive tractors with hydro-mechanical CVT

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International Journal of Agricultural and Biological Engineering 2018年第3期11卷 102-109页

作者： maohua xiao Jing Zhao Yuewen Wang Haijun Zhang Zhixiong Lu Weihua Wei College of Engineering Nanjing Agricultural UniversityNanjing 210031China College of Mechanical and Electronic Engineering Nanjing Forestry UniversityNanjing 210037China

Fuel economy is one of the most important properties of wheeled *** improve the fuel economy,it is necessary to improve the engine fuel economy and the tractive efficiency of the driving *** analyzing the fuel economy evaluation index of wheeled tractors,the correlation among the tractor specific fuel consumption,the engine effective specific fuel consumption and the tractive efficiency of the driving mechanism were clarified in this paper.A tractor with a new type of hydro-mechanical continuously variable transmission(HMCVT)was designed and its whole model was established *** the basis of each module’s simulation model,the binary speed ratio matching simulation model of the gearbox-engine system was obtained by the control system reconstruction,and the fuel economy simulation analysis of the wheeled tractor with HMCVT was carried out under the two typical working conditions of plowing and *** with the current national standard,the fuel economy of the newly designed wheeled tractors with the power of 130 kW was 380 g/(kW·h),specific fuel consumption was reduced by 21.1%.The results showed that the new tractor fuel economy was greatly ***,automatic navigation technology can be combined with the self-adaptive tractors to adapt to different working conditions and achieve the optimal fuel economy,which can be applied in precision agriculture.

关键词： high power wheeled tractor self-adaptive tractor HMCVT fuel economy navigation

Mode switching torque distribution strategy of timely four-wheel driven high-gap plant protection machine

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 176-184页

作者： Haijun Zhang Mingwei Guan Guojun Ji Ghulam Hussain maohua xiao Yejun Zhu College of Engineering Nanjing Agricultural UniversityNanjing 210031China Essen Agricultural Machinery Changzhou Co. Ltd.Changzhou 213000China Faculty of Mechanical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences&TechnologyTopi 23460Pakistan

The high-gap plant protection machine is taken in this paper as the research object to ensure the good driving power and safety of the high-gap plant protection machine,and the control strategy of inter-shaft torque distribution is established under different working conditions to improve vehicle power and lateral *** anticipated demand torque is initially determined based on the structural characteristics and operational principles of the plant protection ***,a hierarchical control framework is devised by incorporating a formulated switching control ***,a simulation model for torque distribution control strategy between shafts is developed on the Matlab/Simulink platform,followed by simulation and experimental *** results are presented as follows:the inter-shaft torque distribution strategy established in this paper increases the average longitudinal acceleration by 0.13 m/s^(2) and 0.14 m/s^(2) under the control of low and high to low adhesion road surfaces,*** the control of the single-line shifting condition,the yaw velocity can successfully follow the expected value with a maximum value of 0.61 rad/*** side deflection angle of the center of mass does not exceed 2.8°,which can follow the ideal trajectory and improve power and safety.

关键词： plant protection robot torque distribution mode switching

Dynamic simulation of the tractor HMCVT under typical working conditions based on AMESim

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International Journal of Agricultural and Biological Engineering 2022年第2期15卷 102-110页

作者： maohua xiao Yuanfang Zhao Xianhua Li Ghulam Hussain Shengjie Wang Yejun Zhu College of Engineering Nanjing Agricultural UniversityNanjing 210031China Key Laboratory of Modern Manufacturing Technology Guizhou UniversityGuiyang 550025China Faculty of Mechanical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences&TechnologyTopi23460Pakistan Jiangsu Yueda Intelligent Agricultural Equipment Co. Ltd.Yancheng 224004JiangsuChina

In order to study the dynamic characteristics of hydro-mechanical continuously variable transmission(HMCVT)under ploughing and sowing conditions,a complete simulation model of HMCVT is established based on AMESim software,including mechanical transmission model,pump controlled hydraulic motor speed control model and section changing hydraulic system *** addition,the dynamic model of tractor is *** order to verify the correctness of the simulation model,a test-bed is *** test of tractor running speed and the test of pump controlled hydraulic motor system were carried out on the *** test results show that the simulation model of pump control hydraulic system can correctly reflect the change of transmission ratio of pump controlled hydraulic motor,and the simulation model can reflect the actual working condition change of ***,the correctness of the previous simulation model based on AMESim is *** on the simulation model established by AMESim,the dynamic characteristics of HMCVT under ploughing and sowing conditions are *** results show that:Under ploughing condition,the planetary platoon will have strong impact at the moment of throttle opening and changing *** sowing condition,the HMCVT will have a great impact at the time of variable cross section,but the variation range of rodent force decreases and the changing trend tends to be stable.

关键词： tractor HMCVT AMESim dynamics simulation test

Design of a straw picking and cutting device

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International Journal of Agricultural and Biological Engineering 2021年第6期14卷 93-98页

作者： Kai Xu Yanyan Ge maohua xiao Min Kang Jie Ni Jinwu Wang College of Engineering Nanjing Agricultural UniversityNanjing 211800China Shandong Daye Co. Ltd.Zhucheng 262218ShandongChina

In order to improve the effective recovery of straw,a new type of straw picking and cutting device was designed.A new type of roller moving knife mechanism was used which can realize simultaneous picking and cutting.A hammer claw was used to pick up and cut straw for the first time,and a roller moving knife was used to cut straw for the second *** software was used to conduct static and modal analyses of the moving roller shaft and optimize the structure of the cutting part and the staggered arrangement of hammer *** first-order resonance frequency of the hammer claw shaft is 205.84 Hz,and the first-order natural frequency of the pulling roller moving knife mechanism is 214.35 Hz,which can avoid resonance and realize efficient picking and cutting of straw.

关键词： straw hammer claw roller moving knife mechanism fixed knife

Design and experiment of fuzzy-PID based tillage depth control system for a self-propelled electric tiller

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International Journal of Agricultural and Biological Engineering 2023年第4期16卷 116-125页

作者： maohua xiao Ye Ma Chen Wang Junyun Chen Yejun Zhu Petr Bartos Guosheng Geng College of Engineering Nanjing Agricultural UniversityNanjing 210031China Faculty of Agriculture University of South BohemiaStudentska 1668Czech

The research on the self-propelled electric tiller is vital for further improving the quality and efficiency of greenhouse rotary tillage operation,reducing the work intensity and operation risk of operators,and achieving environmentally friendly *** of the existing self-propelled tillers rely on manual adjustment of the tillage ***,the consistency and stability of the tillage depth are difficult to *** this study,the automatic control method of tillage depth of a self-propelled electric tiller is investigated.A method of applying the fuzzy PID(Proportional Integral Derivative)control method to the tillage depth adjustment system of a tiller is also proposed to realize automatic *** system uses the real-time detection of the resistance sensor and angle *** controller runs the electronically controlled hydraulic system to adjust the force and position *** fuzzy control algorithm is used in the operation error control to realize the double-parameter control of the tillage *** simulation and experimental verification of the system are *** show that the control system applying fuzzy PID can improve the soil breaking rate by 3%in the operation process based on reducing the stability variation of tillage depth by 24%.The control strategy can reach the set value of tillage depth quickly and *** can also meet the requirement of tillage depth consistency during the operation.

关键词： Fuzzy PID Self-propelled electric tiller Tillage depth Electro-controlled hydraulic system Comprehensive adjustment of force and position

Novel multiple object tracking method for yellow feather broilers in a flat breeding chamber based on improved YOLOv3 and deep SORT

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International Journal of Agricultural and Biological Engineering 2023年第5期16卷 44-55页

作者： Xiuguo Zou Zhengling Yin Yuhua Li Fei Gong Yungang Bai Zhonghao Zhao Wentian Zhang Yan Qian maohua xiao College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210095China College of Engineering Nanjing Agricultural UniversityNanjing 210095China Faculty of Engineering and Information Technology University of Technology SydneySydneyNSW 2007Australia

Aiming at the difficulties of the health status recognition of yellow feather broilers in large-scale broiler farms and the low recognition rate of current models,a novel method based on machine vision to achieve precise tracking of multiple broilers was proposed in this ***’behavior in the breeding environment can be tracked to analyze their behaviors and health status *** improved YOLOv3(You Only Look Once v3)algorithm was used as the detector of the Deep SORT(Simple Online and Realtime Tracking)algorithm to realize the multiple object tracking of yellow feather broilers in the flat breeding chamber,which replaced the backbone of YOLOv3 with MobileNetV2 to improve the inference speed of the detection *** DRSN(Deep Residual Shrinkage Network)was integrated with MobileNetV2 to enhance the feature extraction capability of the ***,in view of the slight change in the individual size of the yellow feather broiler,the feature fusion network was also redesigned by combining it with the attention mechanism to enable the adaptive learning of the objects’multi-scale *** with traditional YOLOv3,improved YOLOv3 achieves 93.2%mAP(mean Average Precision)and 29 fps(frames per second),representing high-precision real-time detection ***,while the MOTA(Multiple Object Tracking Accuracy)increases from 51%to 54%,the IDSW(Identity Switch)decreases by 62.2%compared with traditional YOLOv3-based objective *** proposed algorithm can provide a technical reference for analyzing the behavioral perception and health status of broilers in the flat breeding environment.

关键词： yellow feather broiler flat breeding chamber multiple object tracking improved YOLOv3 Deep SORT

陶瓷刀具高速切削镍基高温合金沟槽磨损试验研究

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中国机械工程 2008年第10期19卷 1188-1192页

作者：肖茂华何宁李亮刘海滨南京航空航天大学南京210016

通过陶瓷刀具高速切削镍基高温合金试验,计算了不同速度下切屑毛边对刀具前刀面和切削刃的冲击频率,分析了切屑毛边对沟槽磨损形成的影响;设计了去毛刺试验台,对比分析了去毛刺切削和常规切削时待加工表面切削毛刺尺寸和刀具沟槽磨损的... 详细信息

通过陶瓷刀具高速切削镍基高温合金试验,计算了不同速度下切屑毛边对刀具前刀面和切削刃的冲击频率,分析了切屑毛边对沟槽磨损形成的影响;设计了去毛刺试验台,对比分析了去毛刺切削和常规切削时待加工表面切削毛刺尺寸和刀具沟槽磨损的大小。通过扫描电镜和能谱分析,对刀具沟槽磨损部位进行了观测与分析。试验结果表明,侧向切削毛刺和锯齿状切屑毛边是造成沟槽磨损的根本原因,黏结是加速沟槽磨损的重要因素。

关键词：陶瓷刀具镍基高温合金沟槽磨损侧向切削毛刺锯齿状切屑毛边

采用LWD-QPSO-SOMBP神经网络的拖拉机柴油机故障诊断

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农业工程学报 2021年第17期37卷 39-48页

作者：周俊博朱烨均肖茂华吴剑铭南京农业大学工学院南京210031 东台市农业机械化技术推广服务站盐城224246

针对目前拖拉机柴油机故障诊断中单BP(Back Propagation)神经网络模型的局限性,该研究提出一种LWD-QPSO-SOMBP(Linear Weight Decrease-Quantum Particle Swarm Optimization-Self Organizing Maps Back Propagation)神经网络的拖拉机柴油机故障诊断模型。首先,将SOM(Self Organizing Maps)神经网络和BP神经网络结合,重置网络结构并利用LWD-QPSO(Linear Weight Decrease-Quantum Particle Swarm Optimization)算法对网络的权值和阈值进行优化;然后,分析拖拉机柴油机的故障机理,确定反映故障发生的数据信号;最后,确定LWD-QPSO-SOMBP神经网络模型的结构参数,基于CAN(Controller Area Network)总线技术采集潍柴WP6型拖拉机柴油机传感器信号数据对LWD-QPSO-SOMBP神经网络的性能进行测试,并将测试结果与BP神经网络、SOMBP(Self Organizing Maps Back Propagation)神经网络、PSO-SOMBP(Particle Swarm Optimization-Self Organizing Maps Back Propagation)神经网络、LWD-PSO-SOMBP(Linear Weight Decrease-Particle Swarm Optimization-Self Organizing Maps Back Propagation)神经网络及改进量子粒子群(Improved Quantum Particle Swarm Optimization,IQPSO)算法优化后的SOMBP神经网络的测试结果进行对比。试验结果表明,LWD-QPSO-SOMBP神经网络输出总误差为0.1118、平均相对误差为0.0058、均方误差为0.0003,相比于其他5种神经网络均为最低。LWD-QPSO-SOMBP神经网络充分发挥并有效综合了SOM神经网络在数据预处理及PSO算法在优化BP神经网络初始权值阈值方面的优势,实现了拖拉机柴油机的高精度故障诊断。LWD-QPSO-SOMBP神经网络由于使用SOM神经网络结构对输入数据进行预处理,网络收敛速度大幅度提升,相比单BP神经网络,迭代次数由2431次降为63次,下降了97.40%;同时采取LWD-QPSO算法对BP神经网络的初始权值阈值进行优化,降低了传统PSO算法的粒子适应度,进一步提高了网络的收敛精度和收敛速度,相比传统PSO算法,粒子适应度从0.15降为0.11,下降了26.67%,网络训练误差由0.004降为0.0006,下降了85.00%;LWD-QPSO-SOMBP神经网络的故障诊断准确率大幅度提升,相比于单BP神经网络,输出总准确率由85.00%上升至99.44%。研究结果可为高精度拖拉机柴油机故障诊断提供参考。

关键词：农业机械柴油机故障诊断 BP神经网络 SOM神经网络 PSO算法 LWD-QPSO算法