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。

磁力调控驰振压电-电磁复合俘能器设计与研究

为避免驰振俘能器高流速下PZT损坏,使其能在复杂工作环境中具有稳定的输出特性,该文提出了一种利用磁力控制悬臂梁振动幅值的压电-电磁复合俘能器(GPEEH)。引入的非线性磁力可以调控钝体的振幅,提高驰振压电俘能器(PEH)的输出稳定性,改善其对高风速环境的适应性,且能够增加复合俘能器的输出电压。在搭建风洞实验平台和制作实验样机的基础上,研究不同负载电阻、风速、关键结构参数d 0和d 1对俘能器输出特性的影响规律。实验结果表明,当PEH钝体的振幅被磁力限制在一定区间时,钝体的振动频率和速度随着风速的升高而逐渐增加。风速为11.5 m/s时,PEH振动主频率(6.3 Hz)是风速为8.4 m/s时PEH振动主频率(4.3 Hz)的1.4倍。当风速为12 m/s,GPEEH的输出功率为6.18 mW,相较于单一驰振压电俘能器的输出功率提高了47%。其中当风速达到10.5 m/s时,PEH和电磁俘能器(EEH)的输出功率均趋于稳定。

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。

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。

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。

荸荠收获机弹簧辊式泥果分离装置研制

针对荸荠收获泥果分离难、果实损伤率高的问题,根据旱地环境下荸荠采收作业需求,该研究提出一种由正反旋弹簧并排布置的荸荠收获机弹簧辊式泥果分离装置。通过对荸荠与弹簧辊的相对运动过程动力学分析,确定了影响荸荠收获泥果分离的关键因素为弹簧外径、螺距、相邻弹簧间距、高度差及弹簧转速、线径、作业速度。利用EDEM软件建立泥果混合物离散元模型,对弹簧辊结构参数与工作参数进行单因素试验,分析各因素对泥果分离效果的影响。以荸荠筛分率和土壤筛分率为指标进行二次回归正交试验,得到弹簧辊最佳参数组合为外径100 mm、螺距30 mm、间距9 mm、转速420 r/min,该参数组合下荸荠筛分率为80.00%,土壤筛分率为80.69%。进行仿真验证试验,对比试验结果与模型预测值,荸荠筛分率平均相对误差为2.09%,土壤筛分率平均相对误差为2.42%。以明果率、伤果率、破皮率、挖净率为指标开展模拟采挖试验,分析不同线径弹簧辊的泥果分离能力,确定12 mm线径弹簧兼具较好的振动筛分性能和较低的损伤率。通过实际收获试验测得作业速度0.21 m/s,作业效率0.19 m^(2)/s,碎土率75.61%,明果率82.42%,伤果率14.73%,破皮率7.01%。研究结果可为荸荠收获机研制和优化改进提供参考。

不同成熟期对花椰菜种子活力及相关生理生化指标的影响

花椰菜种子收获时常依据经验进行,易导致采收时期不当,对种子质量造成较大的影响。为研究花椰菜杂交种子成熟期与种子活力的关系,确定适宜的种子收获期,本研究以花椰菜品种瓯松60天为材料,分析了授粉后40、45、50、55、60、65 d不同成熟期种子物理性状、种子活力和抗氧化酶活性等指标变化。结果表明,随着种子成熟期延长,种子含水量、鲜种子千粒重呈降低趋势,种子浸泡液电导率和丙二醛(MDA)含量先降低后趋于稳定,规定水分千粒重、超氧化物歧化酶(SOD)活性、过氧化物酶(POD)活性、发芽率、发芽势、活力指数、苗高、根长先增加后趋于稳定。不同授粉后天数之间比较结果表明,授粉后55、60、65 d,活力指数、苗高和根长差异不显著,但均显著高于50 d;规定水分千粒重、SOD活性、POD活性、MDA含量、电导率在授粉后55 d趋于稳定。回归分析结果表明,活力指数与鲜种子千粒重、种子含水量、MDA含量、电导率显著(P<0.05)或极显著(P<0.01)线性负相关,与SOD和POD活性极显著线性正相关(P<0.01)。活力指数、SOD活性、POD活性、MDA含量、电导率与种子发育天数符合二项式函数变化:y_(活力指数)=-0.131x2+16.957x-344.480,y_(SOD活性)=-0.020x2+2.668x-10.420,y_(POD活性)=-0.112x2+14.417x-368.610,y_(MDA含量)=0.113x2-13.771x+433.780,y_(电导率)=0.088x2-10.319x+338.680,达显著或极显著水平,可用来预测不同发育天数种子的活力、保护酶清除活性氧自由基能力和细胞膜结构的完整性。综上,授粉后55 d,瓯松60天种子已达可采收程度,发芽率98%,规定水分千粒重4.364 g,种子活力和种子生理也趋于稳定,且对幼苗生长没有影响,还可降低种子易落粒损失风险。本研究结果为花椰菜杂交种子适时采收提供了理论依据。

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%。

基于用户窃听的MU-MISO反向散射通信系统鲁棒资源分配算法

针对反向散射通信系统信道估计不准、信息容易被窃听等问题,该文提出一种基于用户窃听的多用户-多输入单输出(MU-MISO)反向散射通信系统鲁棒资源分配算法,以提高系统传输鲁棒性与信息安全性。首先,考虑基站最大功率、时间分配、信道不确定性、能量收集和保密率等约束,建立一个MU-MISO的反向散射通信系统鲁棒资源分配问题。其次,基于非线性能量收集模型和有界球形信道不确定性模型,利用变量松弛法和S过程将原NP-hard问题转化为确定性问题,随后利用连续凸近似、半正定松弛与块坐标下降法将其转化为凸优化问题求解。仿真结果表明,与传统非鲁棒算法对比,所提算法具有较高的系统容量和较低的中断概率。

以糖厂为主体的甘蔗机收推进模式

近年来,我国甘蔗种植面积逐年减少,切段式甘蔗联合收获机保有量大幅增加,机收率却多年低位徘徊。针对这一问题,本文从方法论视角阐明当前甘蔗产业生产关系与新质生产力之间的矛盾,是机收推进缓慢的主要原因。提出以提高甘蔗产业的竞争力和促进产业可持续发展为目标,调整甘蔗产业当前生产关系,将当前生产关系中的各方组成机收推进联合体,构建以糖厂为主体的机收推进模式。该模式以免费或低价机收为杠杆,糖厂组织、协调、管理甘蔗机械化生产,实现了糖厂有稳定优质蔗源、机收组织效益稳定、蔗农获得免费(或低价)砍收甘蔗,达到多方共赢,有利于稳定甘蔗种植面积和甘蔗产业可持续发展。以该模式为抓手,建立试点并推广应用,在当前条件下,有望打破目前机收推进缓慢僵局,实现甘蔗机收快速推进。

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。