Development and optimization of a novel grain flow sensor based on PVDF piezoelectric film

A novel grain flow sensor consists of an impact plate and a PVDF(Polyvinylidene Fluoride)piezoelectric film was developed in this research.The kinetic model of the grain flow sensor was built to analyze the steady and transient vibration disturbances which had a significant influence on performance of the sensor,and the results showed that damping ratio of the sensor was the key factor to improve accuracy of the sensor.To maximize damping ratio of the sensor,the thickness of the impact plate and damping material were optimized according to a loss factor model of the free damping structure.The optimized results indicated the most appropriate thickness ratio of damping material and the impact plate was 6.A test rig equipped with the novel grain flow sensor and weight sensors which could simulate field situations was built to investigate the performance of the sensor,on which test experiments under different feed flows were conducted.The results showed that the maximum error of the sensor was 3.02%and the mean error was 2.15%,which revealed that the novel grain flow sensor could be used to measure grain flow.Comparing with conventional grain flow sensors,the novel grain flow sensor has the features of high accuracy,simple structure and flexible signal processing methods.

Proportional distribution method for estimating actual grain flow under combine harvester dynamics

The yield monitors use a constant delay time to match the grain flow with location.Therefore,mixing and smoothing effects on the grain flow are neglected.Although constant time delay compensates for time mismatch,actual grain flow at a combine harvester head is not equal to the grain flow measured by a sensor due to the dynamics effects.In order to eliminate the dynamics effects,a new method for estimating actual grain flow,called proportional distribution(PD),is proposed.This method assumes that actual grain flow is directly proportional to the feedrate.Based on this assumption,the actual grain flow results from redistributing accumulated grain mass over a certain time according to the profile of the feedrate.The PD can avoid the dynamics effects because the feedrate is measured at a combine harvester’s head.Compared with constant time delay,the proposed method can effectively estimate actual grain flow and be applied to improve the accuracy of yield maps.

Grain flow rate sensing for a 55 kW full-feed type multi-purpose combine

Real time sensing of crop yield is critical for a successful implementation of precision agriculture.Yield monitoring system is an optional component of a 55 kW multi-purpose combine harvester,developed in Korea,for both domestic and global markets,especially Asian countries where field sizes are relatively small.The aim of the present study was to fabricate and evaluate the performance of a grain flow sensor suitable to the mid-sized full-feed type combine for rice,soybean,and barley.Firstly,commercially available non-contact type sensing modules(optical,ultrasonic,laser,and microwave modules)were chosen for alternative candidates,to be further tested in a laboratory bench.Through the laboratory tests,the ultrasonic module was selected as a potential approach and the performance was improved by increasing the number of modules and their layout.Finally,the improved grain flow sensor was evaluated during field harvesting operation.Field tests with the improved grain flow sensor showed a good potential for rice(R^(2)=0.85,RMSE=126.14 g/s),soybean(R^(2)=0.78,RMSE=43.87 g/s),and barley(R^(2)=0.83,RMSE=37.39 g/s).Further research would be necessary for improvement and commercialization,through various signal processing and field tests under different field and crop conditions.

Influence of vibration on the grain flow sensor during the harvest and the difference elimination method

The grain yield data collected by the intelligent yield measurement system of the combine harvester is generated into a field plot yield distribution map,which is of great significance for guiding agricultural production.However,in the process of drawing the yield map,the combine harvester is affected by vibration during operation and the generated error data in the process of collecting data which will cause the drawing results to be inaccurate.This study researched two factors that cause errors,then,the influence of vibration interference on the measurement signal was eliminated by filtering,vibration isolation,and designing a double-plates differential grain flow sensor.Three methods were taken to eliminate random errors,gross errors and systematic errors,including using the arithmetic average value to replace the true value,the 3σcriterion,and removing the filling time data and the delaying time data.Finally,the grain yield distribution map was obtained through Matlab and Excel.The results showed that the interference frequency above 50 Hz could be eliminated by filtering,but it was difficult to filter the low-frequency signal which was close to the grain impact frequency.The vibration amplitude was reduced to 14.29%by adding a vibration isolation plate,and the SNR was increased from−4.67 dB to 29.21 dB by combining low-pass filtering and damping vibration isolation.When the grain feeding rate was 2 kg/s,the natural vibration amplitude of the sensor after difference was about 0.02 V and evenly distributed around the zero voltage 0.2 V.The influence of positive and negative offset on the average value of grain impact signal could be ignored,and the signal-to-noise ratio was increased from 29.21 dB to 62.49 dB.The results of field experiments showed that the yield map drawn can clearly display the yield value of the harvest area,which is used to guide agricultural production.

Fractality of grain composition of debris flows

Debris flows in essence are the process of mass transportation controlled by the constitution featured by a wide-ranged distribution of grain size. Debris-flow samples of different densities collected from different regions and gullies reveal that cumulative curve of grain composition, in particular for debris flows of high density, ρ5〉2 g/cm^3, can be fitted well by exponential function with exponents varying with regions and gullies. Debris flows fall into a narrow-valued domain of the exponent, as evidenced by Jiangjiagou Gully （JJG） with high occurrence frequency of debris flows. Furthermore, fractality of grain composition and porosity have been derived from cumulative curves in a certain size range, a range that determines the upper limit of grains constituting the matrix of debris flows. One can conclude that fractal structure of porosity plays crucial roles in soil fluidization that initiates debris flows, and debris flows occur at some range of fractal dimension, in coincidence with field observations.

Variation in Grain Size Distribution in Debris Flow

Grain composition of debris flow varies considerably from fluid to deposit, making it uncertain to estimate flow properties(e.g., density,velocity and discharge) using deposit as done in practice. Tracing the variation of grain composition is thus more important than estimating some certain properties of flow because every debris flow event consists of a series of surges that are distinct in properties and flow regimes. We find that the materials of debris flows, both the fluid and the source soils, satisfy a universal grain size distribution(GSD) in a form of P(D) = CD –μexp(–D/D c), where the parameters C, μ and D c are determined by fitting the function to the grain size frequency. A small μ implies a small porosity and possible high excess pore pressure in flow; and a large D c means a wide range of grain composition and hence a high sediment concentration. Flow density increases as μ decreases or D c increases, in a power law form. A debris flow always achieves a state of certain mobility and density that can be well described by the coupling of μ and D c,which imposes a constraint on the fluctuations of flow surges. The GSD also describes the changes in grain composition in that it is always satisfied during the course of debris flow developing. Numerical simulation using the GSD can well illustrate the variation of μ and D c from source soils to deposits.

Vertical Migration of Fine-Grained Sediments from Interior to Surface of Seabed Driven by Seepage Flows–‘Sub-Bottom Sediment Pump Action'

A scientific hypothesis is proposed and preliminarily verified in this paper: under the driving of seepage flows, there might be a vertical migration of fine-grained soil particles from interior to surface of seabed, which is defined as ‘sub-bottom sediment pump action' in this paper. Field experiments were performed twice on the intertidal flat of the Yellow River delta to study this process via both trapping the pumped materials and recording the pore pressures in the substrate. Experimental results are quite interesting as we did observe yellow slurry which is mainly composed of fine-grained soil particles appearing on the seabed surface; seepage gradients were also detected in the intertidal flat, under the action of tides and small wind waves. Preliminary conclusions are that ‘sediment pump' occurs when seepage force exceeds a certain threshold: firstly, it is big enough to disconnect the soil particles from the soil skeleton; secondly, the degree of seabed fluidization or bioturbation is big enough to provide preferred paths for the detached materials to migrate upwards. Then they would be firstly pumped from interior to the surface of seabed and then easily re-suspended into overlying water column. Influential factors of ‘sediment pump' are determined as hydrodynamics(wave energy), degree of consolidation, index of bioturbation(permeability) and content of fine-grained materials(sedimentary age). This new perspective of ‘sediment pump' may provide some implications for the mechanism interpretation of several unclear geological phenomena in the Yellow River delta area.

Grain size dependence of flow stress in ECAPed Ti with constant texture

The effect of grain size on the flow stress in an ECAPed Ti with a constant texture was investigated,assuming that 2,4,5 and 6 passes microstructures have a similar texture.The average size of recrystallized grains decreased to 0.5 μm,0.4 μm,and 0.3 μm with respect to the ECAP pass number of 2,4,and 6,respectively.The ultimate tensile strength (UTS) and yield strength (YS) increase with an increase in the number of pressing.The UTS and YS of the 6 passes ECAPed sample were found to be 740.2 MPa and 580.3 MPa,respectively.An equation for the flow stress of an ECAPed Ti with a constant texture as a function of the strain and grain size was derived for the ECAPed metal.The following equation was finally obtained:σ(ε)=103.9+1825ε-9.6ε1/2·d-1/2+8.3d-1/2.

Effects of simulated submerged and rigid vegetation and grain roughness on hydraulic resistance to simulated overland flow

Better understanding of the role of vegetation and soil on hydraulic resistance of overland flow requires quantitative partition of their interaction. In this paper, a total of 144 hydraulic flume experiments were carried out to investigate the hydraulic characteristics of overland flow. Results show that hydraulic resistance is negatively correlated with Reynolds number on non-simulated vegetated slopes, while positively on vegetated slopes. The law of composite resistance agrees with the dominant resistance, depending on simulated vegetation stem,surface roughness, and discharge. Surface roughness has greater influence on overland flow resistance than vegetation stem when unit discharge is lower than the low-limited critical discharge, while vegetation has a more obvious influence when unit discharge is higher than the upper-limited critical discharge. Combined effects of simulated vegetation and surface roughness are unequal to the sum of the individual effects through t-test, implying the limitation of using linear superposition principle in calculating overland flow resistances under combined effect of roughness elements.

Influence of High-Speed Milling Process on Mechanical and Microstructural Properties of Ultrafine Grained Profiles Produced by Linear Flow Splitting

The effects of milling parameters on the surface quality,microstructures and mechanical properties of machined parts with ultrafine grained(UFG)gradient microstructures are investigated.The effects of the cutting speed,feed per tooth,cutting tool geometry and cooling strategy are demonstrated.It has been found that the surface quality of machined grooves can be improved by increasing the cutting speed.However,cryogenic cooling with CO_2 exhibits no significant improvement of surface quality.Microstructure and hardness investigations revealed similar microstructure and hardness variations near the machined groove walls for both utilized tool geometries.Therefore,cryogenic cooling can decrease more far-ranging hardness reductions due to high process temperatures,especially in the UFG regions of the machined parts,whilst it cannot prevent the drop in hardness directly at the groove walls.

Grain Composition and Erosive Equilibrium of Debris Flows

Debris flows consist of grains of various sizes ranging from 10^(-6) m ～1 m. Field observations in the Jiangjia Gully (JJG) and other sites throughout China indicate that the grain size distribution of sediment in debris flows can be characterized by an exponential function fit to the cumulative distribution. The exponent value for the function varies by location and may be useful in distinguishing between debris flows from different valleys. For example, minimum values and ranges of the exponent are associated with the high frequency of debris flows in the JJG. Furthermore, the distribution presents piecewise fractality (i.e. scaling laws hold in various ranges of the grain size) and we propose that the fractal structure determines the matrix and that the fractal dimension plays a crucial role in material exchange between a debris flow and the substrate it flows over. Finally, the empirical data support an exponential relation between grain composition and non-dimensional shear stress for the critical state of the channel. Overall we propose a material-determinism approach to studying debris flows which contrasts with the enviro-determinism that has dominated much recent work in this field.

A NEURAL NETWORK-BASED MODEL FOR PREDICTION OF HOT-ROLLED AUSTENITE GRAIN SIZE AND FLOW STRESS IN MICROALLOY STEEL

For the great significance of the prediction of control parameters selected for hot-rolling and the evaluation of hot-rolling quality for the analysis of prod uction problems and production management, the selection of hot-rolling control parameters was studied for microalloy steel by following the neural network principle. An experimental scheme was first worked out for acquisition of sample data, in which a gleeble-1500 thermal simolator was used to obtain rolling temperature, strain, stain rate, and stress-strain curves. And consequently the aust enite grain sizes was obtained through microscopic observation. The experimental data was then processed through regression. By using the training network of BP algorithm, the mapping relationship between the hotrooling control parameters (rolling temperature, stain, and strain rate) and the microstructural paramete rs (austenite grain in size and flow stress) of microalloy steel was function appro ached for the establishment of a neural network-based model of the austeuite grain size and flow stress of microalloy steel. From the results of estimation made with the neural network based model, the hot-rolling control parameters can be effectively predicted.

固体力学跨尺度计算若干问题研究

本文展示了固体力学领域跨尺度计算的若干问题和研究概况。(1)建立位错动力学与有限元耦合DDD-FEM的计算模型,实现了能够基于纳米尺度离散位错运动机制计算分析连续介质有限变形晶体塑性问题,提出微纳尺度(200 nm~10μm)晶体塑性流动应力解析公式,结合试验数据揭示了在无应变梯度下强度和变形的尺寸效应;(2)建立具有微相分离结构的纳米尺度粗粒化分子动力学模型CG-MD,计算获得聚脲材料在时域和频域下的存储模量和损耗模量,通过动态加载分析的DMA试验和超声波试验的数据验证,解决了连续介质尺度下微相分离高分子共聚物的设计难题;(3)通过数据驱动关联高分辨率的微米尺度CT影像和临床低分辨率的毫米尺度CT影像的特征值,建立了围关节松质骨小梁的等效模量和结构张量,为骨组织增材制造点阵结构设计和实现个性化骨缺损重建奠定了基础。

小麦颗粒弯管流动特性数值模拟研究

目的为研究小麦颗粒在弯管处的气力输送的特性。方法以欧拉-欧拉双流体模型为基础,结合壁面碰撞摩擦模型、颗粒动理学的固体应力和Gidaspow曳力模型构建出小麦颗粒在弯管处的气力输送模型,采用FLUENT对弯管处小麦颗粒气力输送过程进行数值模拟,分析小麦颗粒在流经弯管过程中及弯管后直管中的小麦颗粒密度分布、气固两相速度、小麦颗粒与壁面剪切力和颗粒相湍动能。结果经过仿真分析和实验验证,小麦颗粒在流经弯管过程中,其颗粒相体积分数、气固两相速度、颗粒和壁面剪切力以及颗粒相湍动能4个方面随着流入弯管的角度变化而改变;由于颗粒-颗粒、颗粒-管壁之间的碰撞摩擦,小麦颗粒在流出弯管后随着输送距离的增大其各项参数逐渐减缓。结论采用FLUENT软件进行仿真得到了弯管内小麦颗粒的流动特性,并通过实验验证了仿真的可靠性。此次研究结合气固两相理论,为弯管气力输送设计的研发和优化提供了理论基础。

Fe-3%Si平面流铸带平整轧制退火过程中组织织构演变

采用平面流铸技术制备了Fe-3%Si无取向硅钢极薄带,研究了平面流铸Fe-3%Si薄带平整轧制与退火处理的组织织构演变规律。结果表明,平面流铸带具有大比率的柱状晶组织,{100}取向晶粒占比高于30%,也即存在对磁性能有益的{100}织构。小压下率冷轧平整过程中,晶粒取向变化及晶内取向分裂程度整体不高,形变行为存在取向依赖性。{100}取向晶粒形变储能积累程度相对较低,经退火处理后该组分体现出遗传优势,在退火组织中占比仍超过30%。退火组织中小尺寸晶粒有所增加,且绝大部分小尺寸晶粒偏离{100}取向,这导致了退火组织平均晶粒尺寸降低,并在一定程度上弱化{100}织构。

抓斗式散粮卸料过程逸尘机理探究

为探究抓斗卸料过程中的逸尘机理,解决当前港口物料转运过程中存在粉尘外逸严重的难题,搭建抓斗卸料逸出气流在线测试实验平台。采用试验与数值计算相结合的方式,以典型主粮散体颗粒为卸料对象,基于气固两相流理论,探究卸料高度和卸料质量流量对料斗内逸出气流速度的影响映射耦合关系,结合粉尘颗粒逸出过程的运动特性和规律推导出粉尘逸出的临界粒径。结果表明:逸出气流速度峰值与卸料高度成正相关,同一卸料高度下,逸出气流峰值与质量流量成幂函数关系;基于粉体颗粒受力,推导出粉尘颗粒逸出的临界粒径计算公式,并验证公式的计算误差在11%以内;大豆、玉米和小麦卸料时,粉尘颗粒逸出的临界粒径范围分别为160.9~292.5,182.6~359.6,95.1~196.1μm。研究为抓斗式散粮卸料过程中的粉尘控制和抑尘装置设计提供理论支撑。

基于无人机平台的气振式核桃采收机设计与试验

针对云南山地种植的深纹核桃树体高大造成现有机械难于采收,而人工爬树用竹竿击打采收成本高且伤亡大的问题,提出了搭载无人机的气振式核桃采收原理及方法,基于深纹核桃成熟果实的果柄连接强度的测试与分析结果,进行了核桃脱落的气振流动仿真分析,设计了搭载于六旋翼农业植保无人机上的气振式核桃采收机,分析了气振式核桃采收机在发射气振时的反冲稳定性,实施了气振式核桃采收机搭载无人机进行采收的试验验证,按效率优先和采净率优先两种采收模式,对气振式核桃采收机的采收效率和采净率做了预测分析。研究结果表明,核桃成熟度为80%、90%和100%时,使核桃果柄断裂实现落果的气振临界流速分别为77.5、69.0、58.5 m/s;气舱容积为20 L且气压为1 MPa时,气振式核桃采收机的气动喷口至核桃挂果位置的最佳距离为0.5 m,单次气振流动采收的最大有效面积的仿真值和试验值分别约为0.09 m^(2)和0.10 m^(2),最大有效采收面积随着到气动喷口距离增大而减小。

基于CRCLA的形式化描述与退火遗传映射算法

为解决密码算法映射到粗粒度可重构密码逻辑阵列(CRCLA)过程的描述困难问题,提出一种数据流图节点与划分后节点簇的描述形式,并以一种坐标序列描述形式精确显示CRCLA中资源的占用情况;针对密码算法映射到CRCLA上性能不高及编译时间过长的问题,提出一种能快速收敛到全局最优解的退火遗传算法,从初始温度、降温系数等方面对退火算法进行改进,增加遗传算法的筛选、交叉与变异流程。实验结果表明,编译时间与性能平均降低了30.6%与13.4%,验证了算法的高能效映射。

脉冲电流对6061T6铝合金流动摩擦挤压成形微观组织的影响

通过在流动摩擦挤压成形过程中施加脉冲电流,研究了脉冲电流对6061T6铝合金流动摩擦挤压成形性能的影响,同时,借助EBSD和TEM研究了脉冲电流对变形区材料组织演变的影响规律。结果表明:脉冲电流降低了材料的变形抗力,提高了材料的流动性,在下行速度0.6 mm·min^(-1)、转速950 r·min^(-1)以及下压量3 mm条件下,施加3800 A的脉冲电流可使6061T6铝合金的流动摩擦挤压成形高度从15 mm提高到20 mm。脉冲电流的施加促进了变形过程中再结晶的发生,细化了不同变形区的组织,并提高了变形区大角度晶界的比例;流动摩擦挤压成形后材料内部存在大量的线性位错、网状位错以及由位错攀移形成的位错墙;施加脉冲电流后,材料在搅拌力和挤压力的复合作用下发生大塑性变形,晶粒破碎,形成大量的纳米晶。

EDTA-2Na-磷酸蒸馏-全自动流动注射分析仪联用测定高粱、大曲、酒醅中氰化物含量

该实验采用乙二胺四乙酸二钠(EDTA-2Na)-磷酸(2 g-5 m L)蒸馏体系对高粱、大曲、酒醅中的氰化物进行蒸馏提取,并结合全自动流动注射分析技术建立了高粱、大曲、酒醅中氰化物的快速测定方法。结果表明,氰化物在5~200μg/L范围内具有良好的线性关系(R2=0.999 6),检出限(LOD)为8.10μg/kg,定量限(LOQ)为25.00μg/kg;精密度、重复性、稳定性均良好,相对标准偏差(RSD)均<10%;样品的加标回收率为82.23%~97.64%。该检测技术前处理简便,检测效率较高,定量结果准确可靠,适用于大批量高粱、大曲、酒醅样品中氰化物的检测分析,对于提升白酒的质量安全监测能力具有重要的实际意义。