A viscoelastic nonlinear energy sink with an electromagnetic energy harvester:Narrow-band random response

Nonlinear energy sink is a passive energy absorption device that surpasses linear dampers, and has gained significant attention in various fields of vibration suppression. This is owing to its capacity to offer high vibration attenuation and robustness across a wide frequency spectrum. Energy harvester is a device employed to convert kinetic energy into usable electric energy. In this paper, we propose an electromagnetic energy harvester enhanced viscoelastic nonlinear energy sink(VNES) to achieve passive vibration suppression and energy harvesting simultaneously. A critical departure from prior studies is the investigation of the stochastic P-bifurcation of the electromechanically coupled VNES system under narrowband random excitation. Initially, approximate analytical solutions are derived using a combination of a multiple-scale method and a perturbation approach. The substantial agreement between theoretical analysis solutions and numerical solutions obtained from Monte Carlo simulation underscores the method's high degree of validity. Furthermore, the effects of system parameters on system responses are carefully examined. Additionally, we demonstrate that stochastic P-bifurcation can be induced by system parameters, which is further verified by the steady-state density functions of displacement. Lastly,we analyze the impacts of various parameters on the mean square current and the mean output power, which are crucial for selecting suitable parameters to enhance the energy harvesting performance.

Performance enhancement of a viscoelastic bistable energy harvester using time-delayed feedback control

This paper focuses on the stochastic analysis of a viscoelastic bistable energy harvesting system under colored noise and harmonic excitation, and adopts the time-delayed feedback control to improve its harvesting efficiency. Firstly, to obtain the dimensionless governing equation of the system, the original bistable system is approximated as a system without viscoelastic term by using the stochastic averaging method of energy envelope, and then is further decoupled to derive an equivalent system. The credibility of the proposed method is validated by contrasting the consistency between the numerical and the analytical results of the equivalent system under different noise conditions. The influence of system parameters on average output power is analyzed, and the control effect of the time-delayed feedback control on system performance is compared. The output performance of the system is improved with the occurrence of stochastic resonance(SR). Therefore, the signal-to-noise ratio expression for measuring SR is derived, and the dependence of its SR behavior on different parameters is explored.

Assessment of BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) for Mechanized Rice Harvesting in Bangladesh

Agricultural mechanization plays a pivotal role in the transition from subsistence to commercial agriculture, with a particular focus on labour-intensive activities like harvesting. This study assesses the operational characteristics of the BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) at the field level. Developed under the SFMRA project, the harvester’s technical performance and loss assessment were conducted during the Boro 2022 and Aman 2022 seasons in farmer fields in Bangladesh’s Rangpur region. The field efficiency of the harvester was determined to be 62.5% and 57.9% in the Boro and Aman seasons, respectively. Fuel consumption rates were recorded at 2.77 l/ha and 2.31 l/ha for the Boro and Aman seasons. The total harvesting losses, encompassing cutter bar, shatter, cylinder, and separation loss, averaged 0.56% and 0.48% in the Boro and Aman seasons, respectively. Mechanized harvesting with the BRRI Whole Feed Combine Harvester significantly reduced paddy losses by 5.81% compared to manual methods. The field evaluation results indicate the combine harvester’s satisfactory performance, highlighting its potential to alleviate labour demands during peak harvesting. The development of the BRRI WCH offers a sustainable solution for rice harvesting mechanization among progressive farmers. It paves the way for the broader adoption of advanced agricultural technology in Bangladesh.

Theoretical Analysis of the Galloping Energy Harvesters under Bounded Random Parameter Excitation

In this paper,the response properties of galloping energy harvesters under bounded random parameter excitation are studied theoretically.The first-order approximate solution of the galloping energy harvester is derived by applying the multi-scales method.The expression for the largest Lyapunov exponent that determines the trivial solution is derived,and the corresponding simulation diagrams,including the largest Lyapunov exponent diagrams and time domain diagrams,verify our results.Then the steady-state response moments of the nontrivial solution are studied using the moment method,and the analytical expressions for the first-order and second-order moments of the voltage amplitude are obtained,respectively.The corresponding results show that wind speed enhances the steady-state response moments of the voltage amplitude.Meanwhile,the voltage output can be controlled by adjusting the cubic coefficient.To further verify the response characteristics of the galloping energy harvester,the stationary probability density functions of the displacement and velocity are obtained by the Monte-Carlo simulation method.The results show that the wind speed enhances the displacement of the bluff and the damping ratios should be reduced asmuch as possible to improve the performance.What’smore,the piezoelectric materials also impact the performance of the energy harvester.

Bayesian system identification and chaotic prediction from data for stochastic Mathieu-van der Pol-Duffing energy harvester

In this paper,the approximate Bayesian computation combines the particle swarm optimization and se-quential Monte Carlo methods,which identify the parameters of the Mathieu-van der Pol-Duffing chaotic energy harvester system.Then the proposed method is applied to estimate the coefficients of the chaotic model and the response output paths of the identified coefficients compared with the observed,which verifies the effectiveness of the proposed method.Finally,a partial response sample of the regular and chaotic responses,determined by the maximum Lyapunov exponent,is applied to detect whether chaotic motion occurs in them by a 0-1 test.This paper can provide a reference for data-based parameter iden-tification and chaotic prediction of chaotic vibration energy harvester systems.

Piezomagnetic vibration energy harvester with an amplifier

We study the effect of an amplification mechanism in a nonlinear vibration energy harvesting system where a ferromagnetic beam resonator is attached to the vibration source through an additional linear spring with a damper.The beam moves in the nonlinear double-well potential caused by interaction with two magnets.The piezoelectric patches with electrodes attached to the electrical circuit support mechanical energy transduction into electrical power.The results show that the additional spring can improve energy harvesting.By changing its stiffness,we observed various solutions.At the point of the optimal stiffness of the additional spring,the power output is amplified a few times depending on the excitation amplitude.

Solar cell-based hybrid energy harvesters towards sustainability

Energy harvesting plays a crucial role in modern society.In the past years,solar energy,owing to its renewable,green,and infinite attributes,has attracted increasing attention across a broad range of applications from small-scale wearable electronics to large-scale energy powering.However,the utility of solar cells in providing a stable power supply for vari-ous electrical appliances in practical applications is restricted by weather conditions.To address this issue,researchers have made many efforts to integrate solar cells with other types of energy harvesters,thus developing hybrid energy har-vesters(HEHs),which can harvest energy from the ambient environment via different working mechanisms.In this re-view,four categories of energy harvesters including solar cells,triboelectric nanogenerators(TENGs),piezoelectric nanogenerators(PENGs),and thermoelectric generators(TEGs)are introduced.In addition,we systematically summar-ize the recent progress in solar cell-based hybrid energy harvesters(SCHEHs)with a focus on their structure designs and the corresponding applications.Three hybridization designs through unique combinations of TENG,PENG,and TEG with solar cells are elaborated in detail.Finally,the main challenges and perspectives for the future development of SCHEHs are discussed.

Model Design and Development of a Telescopic Palm Fruit Harvester

This research paper presents a comprehensive conceptual design approach for the development of a telescopic machine system, which is portable and will provide a safe method of harvesting palm fruits. For this machine system development, the material for each component of the machine system was first selected, the boom length, maximum boom angle, force and stroke length of each hydraulic cylinder, the hydraulic pump pressure, base weight, permissible weight of the cutting system and power required were then calculated in the design analysis. Furthermore, from the calculated parameters, the model of the system was created using SolidWorks engineering software, the model was developed and tested. The result shows that the cutting time of the system for one bunch of palm fruit was longer when compared to conventional systems. It was concluded that though the machine is maintenance friendly and portable, further improvements in its design are necessary so as to develop a system that will give desirable economic output at a shorter time.

苹果机械化采收发展历程、模式及其技术现状

经过近千年的进化发展,苹果伴随着品种及树形的改良,经历从自然熟落到人工采摘,从辅助工具、辅助收获平台、振动捡拾到智能机器人采收的发展历程及相应的不同的机械化作业模式。介绍苹果机械化采收的发展历程及技术现状、不同收获模式下所使用的机具设备以及不同收获模式所应用的场景与条件,为我国苹果主产区因地制宜地选择适合当地苹果收获作业模式提供借鉴。如人工或机器人采摘适用于苹果鲜售市场,非选择性振动捡拾收获方式适用于苹果的二次加工领域;而为提高机器人的作业效率,需要对苹果树的树形进行结构简化改良,需要考虑农机与栽培农艺的结合。

基于PLC技术的联合收割机电气控制系统设计

以联合收割机电气控制系统为研究对象,利用可编程控制器(PLC)对联合收割机电气控制系统进行改进,以提高联合收割机运行效率和可靠性。通过对联合收割机的工作原理和液压作动系统进行分析,基于可编程控制器(PLC)进行联合收割机电气系统整体设计,并对电气系统的运行效果进行测试分析。试验结果表明:系统运行可靠,能够获得良好的收割效果,可将收割损失率控制在2%以内,验证了系统运行过程稳定性。

北五味子的采收加工与炮制研究进展

总结近年采收期对北五味子中木脂素、有机酸、多糖等多种成分的影响,考察晒干、阴干、烘干等产地初加工方法,以及醋制工艺、酒制工艺、盐制工艺等,炮制后北五味子中化学成分的变化,炮制后北五味子镇静催眠、降血糖、保肝和保肾等药理作用变化情况,指出北五味子具有多种药理活性,在多种常用复方中均有使用,应用前景广泛,但仍需要运用现代科学技术全面开展北五味子采收、加工、炮制等方面的研究,为北五味子的临床合理应用提供参考。

面向新型电力传感器的能量收集技术

电力传感器作为能源互联网的关键基础设施,其持续稳定的电力供应是保证能源互联网高效运行的前提。然而,传统供电方式存在诸多局限。全面梳理了面向新型电力传感器的能量收集技术,包括振动能量收集、温差能量收集、光伏能量收集和电磁能量收集等,这些技术利用环境中的分布式能源,通过不同的转换机理为传感器提供电力,有望解决供电难题。阐述了各种能量收集技术的应用现状,分析了目前所面临的关键技术挑战,如能量转换效率低、工作条件要求苛刻、器件可靠性和集成度有待提高等;探讨了未来能量收集技术的创新方向,包括开发新型高性能材料、优化器件结构设计、使用复合式收集技术等,以期实现更高的能量利用效率,满足新型电力传感器的实际需求,推动智能电网等相关领域的技术创新。

面向绿色计算的车辆协同任务卸载方法

车辆边缘计算(VEC)为处理计算密集、延迟敏感型任务提供了新的范式,然而边缘服务器在整合可再生能源方面的能力较差。因此,为了提高边缘服务器的能效,该文设计了一种面向绿色计算的车辆协同任务卸载框架。在该框架中,车辆配备能源收集(EH)设备,通过彼此间共享绿色能源和计算资源协作执行任务。为有效促进车辆的参与积极性,该文通过动态定价激励车辆,并综合考虑了车辆的移动性、任务优先级等。为了使卸载决策适应动态环境的变化,该文提出了一种基于双延迟深度确定性策略梯度(TD3)的任务卸载方法,以在最大化所有车辆平均任务完成效用的同时减少边缘端电网电力的使用。最后,仿真结果验证了该方法的有效性,相比基于深度确定性策略梯度(DDPG)和基于贪心原则(GPE)的方法在性能上分别提升了7.34%和37.47%。

收获机用静液压传动装置操纵力特性研究

由于静液压无级变速驱动技术操作便利,现有玉米收获机多采用静液压传动方式,传动系统包括发动机、静液压传动装置和机械式变速箱等部件。目前多数收获机是驾驶员通过机械手柄控制HST工作速度,田间收获时,驾驶员需要根据地势、玉米长势及种植密度等多种因素实时调整发动机转速、HST变量泵排量和收获机作业状态,需要频繁扳动手柄,驾驶员易疲劳,造成收获机行驶速度控制不准确,影响了玉米收获效率。为了减轻驾驶员的劳动强度,提高HST的速度控制精度和收获效率,本文从静液压传动装置的操纵力特性研究的角度出发,设计了静液压传动装置操纵力特性试验台,测量出HST调节手柄实际扭矩值,为把静液压传动装置从手动机械控制改为电机驱动自动控制提供设计所需要的基础数据。

基于立体视觉下联合收获机边缘检测技术的研究

智能联合收割机是目前作物收获的发展热点与研究重点技术之一,而确定田间地块边缘、未收割作物边缘、联合收获机直线行驶和在作物地头转向是实现全田间自动收获的基础。为此,设计了一种基于立体视觉下多种作物收获边缘快速检测方法,保持作物收获边缘在检测目标区域内,并提出了一种基于HSV(色调、饱和度和值)空间扫描的动态感兴趣区域提取算法,利用Ostu算法获得作物未收获面积,实现未收获作物边缘和作物末端边缘的同时检测,并根据作物收获末端边缘自动转向到下一个收割路径。田间验证试验表明:水稻检测准确率高于98%,玉米的检测准确率高于94%,平均处理速度为49frame/ms。研究结果表明:提出的基于立体视觉下联合收获机边缘检测及精准转向系统具有较高的工作精度和效率,可为提高作物收获性能提供技术参考与借鉴。

基于ProE的联合收割机二级齿轮减速器仿真分析

针对联合收割机二级齿轮减速器总体结构进行了设计,基于Pro/E建立了二级齿轮减速器模型并完成了产品的装配,最后利用Pro/E Mechanism仿真模块对所设计产品进行了运动仿真。结果表明:模型满足设计需求,具有较好的稳定性,对二级齿轮减速器进一步的优化设计具有一定参考作用。

鲜食玉米收获机高净度清选智能测产装置研究

为改善国内小区鲜食玉米育种测产机械装备缺乏、小区鲜食玉米种子清选和测产过程完全依靠人工的现状,设计一种小区鲜食玉米种子高净度清选智能测产装置。该装置采用双层网筛、风力清选、智能测产流程完成高净度清选及测产作业,实现种子高净度清选和智能测产的作业要求。以上筛夹角、下筛夹角和螺旋分离装置入口风速为试验因素,以作业时千克籽粒含杂率为试验指标进行正交试验,建立因素与指标的响应面数学模型,并进行试验验证。结果表明:上筛夹角为14.0°,下筛夹角为4.0°,螺旋清选装置入口风速为27.0 m/s时为最佳作业组合,此参数组合下,鲜食玉米籽粒千克籽粒含杂率为1.2%,籽粒残留清理合格率为99.69%,测产平均误差为0.412%,籽粒含水率测量平均误差为3.57%,玉米种子千粒质量测量平均误差为0.276%。为小区鲜食玉米种子的高净度清选以及智能测产提供研究基础。

核桃振动采收研究现状与发展趋势

核桃作为一种高附加值的经济作物,具有广泛的市场需求和良好的经济效益。随着我国核桃种植面积的不断扩大和农业机械化的发展,核桃采收存在的采收率低下、采净率不高的问题日渐凸显,研制适合我国不同种植模式需求的核桃高效采收装备对于促进核桃生产规模化、推进农业科技创新具有重要意义。针对国内外核桃采收技术与装备的发展,综述了对于立地条件复杂的山核桃、小行距矮化密植种植模式下的核桃以及标准果园种植模式下的核桃适用的机械采收设备的研究现状,从树枝振动、树干振动和树冠振动3个角度对其振动机理进行了分析论证,并就国内外振动采收的激振夹持方式与激振参数进行了分析。分析了当前振动采收技术在实际应用过程中存在的主要问题,并指出了结构复杂、工作参数难确定、智能化程度不高是制约我国核桃采收机械发展的因素。提出了未来核桃振动采收智能化、多样化的发展趋势,通过在激振机理、能量传递、精准定位、柔性作业等方面开展深入研究,可为振动采收技术与装备的发展提供一种新思路。

自走式马铃薯捡拾装袋机设计与试验

针对马铃薯分段收获中,人工捡拾劳动强度大、效率低、成本高的问题,设计了一种自走式马铃薯捡拾装袋机。该自走式马铃薯捡拾装袋机能一次性完成马铃薯捡拾、薯土分离、除秧和装袋的工作。阐述了自走式马铃薯捡拾装袋机整体结构,并对捡拾装置、升运链装置、三级输送链装置、分拣台以及卸料装置等关键部件进行详细设计;运用DEM-MBD耦合的方法对马铃薯在两级输送链交接处的运动过程及受力情况进行分析;运用Box-Behnken试验方法,以漏薯率和伤薯率为评价指标,以整机前进速度、捡拾装置输送链线速度、升运链线速度、三级输送链线速度为试验因素,对该机工作参数进行四因素三水平试验,使用Design-Expert软件建立二次多项式回归模型。对回归模型进行优化后,绘制响应面,并得出该机最优工作参数。田间试验表明:当前进速度为0.70 m/s、捡拾装置输送链线速度为1.10 m/s、升运链线速度为1.20 m/s、三级输送链线速度为1.30 m/s时,漏薯率为2.82%,伤薯率为3.61%,满足马铃薯捡拾收获作业要求。

粮食产后服务体系建设的国际经验与启示

减少粮食损耗是实现可持续发展和保障粮食安全的重要途径,粮食产后服务体系建设是减少粮食损耗的关键环节。本文在分析中国粮食产后服务发展现状与问题的基础上,梳理了美国、加拿大、日本三个典型国家在发展粮食产后服务方面的一些经验和做法,并结合中国实际情况,探讨了其对中国粮食产后服务体系建设启示和镜鉴。研究结果表明,粮食产业链全商业化运作是美国和加拿大建设完备粮食产后服务体系的基石,先进的全产业链节粮减损技术及政府、企业与农户的合作协调机制是其粮食产后服务体系运行的关键;日本则在引进先进技术的同时,构建了政府、农协、农户三方合力建设的层次分明、规范运作的粮食产后服务体系,有效保障了农民种粮收益。本文据此进一步提出了完善中国粮食产后服务体系建设的对策思路。