A Selective‑Response Hypersensitive Bio‑Inspired Strain Sensor Enabled by Hysteresis Effect and Parallel Through‑Slits Structures

Flexible strain sensors are promising in sensing minuscule mechanical signals,and thereby widely used in various advanced fields.However,the effective integration of hypersensitivity and highly selective response into one flexible strain sensor remains a huge challenge.Herein,inspired by the hysteresis strategy of the scorpion slit receptor,a bio-inspired flexible strain sensor(BFSS)with parallel through-slit arrays is designed and fabricated.Specifically,BFSS consists of conductive monolayer graphene and viscoelastic styrene–isoprene–styrene block copolymer.Under the synergistic effect of the bio-inspired slit structures and flexible viscoelastic materials,BFSS can achieve both hypersensitivity and highly selective frequency response.Remarkably,the BFSS exhibits a high gage factor of 657.36,and a precise identification of vibration frequencies at a resolution of 0.2 Hz through undergoing different morphological changes to high-frequency vibration and low-frequency vibration.Moreover,the BFSS possesses a wide frequency detection range(103 Hz)and stable durability(1000 cycles).It can sense and recognize vibration signals with different characteristics,including the frequency,amplitude,and waveform.This work,which turns the hysteresis effect into a"treasure,"can provide new design ideas for sensors for potential applications including human–computer interaction and health monitoring of mechanical equipment.

Enhanced superelasticity and reversible elastocaloric effect in nano-grained NiTi alloys with low stress hysteresis

Solid-state cooling technologies have been considered as potential alternatives for vapor compression cooling systems.The search for refrigeration materials displaying a unique combination of pronounced caloric effect,low hysteresis,and high reversibility on phase transformation was very active in recent years.Here,we achieved increase in the elastocaloric reversibility and decrease in the friction dissipation of martensite transformations in the superelastic nano-grained NiTi alloys obtained by cold rolling and annealing treatment,with very low stress hysteresis(6.3 MPa)under a large applied strain(5%).Large adiabatic temperature changes(△T_(max)=16.3 K atε=5%)and moderate COP_(mater)values(maximum COP_(mater)=11.8 atε=2%)were achieved.The present nano-grained NiTi alloys exhibited great potential for applications as a highly efficient elastocaloric material.

Noncovalent cross-linked engineering hydrogel with low hysteresis and high sensitivity for flexible self-powered electronics

In this study,the hydrogel network was reinforced by covalent-like hydrogen bonding,and the strong binding ability of boron-nitrogen coordination served as the main driving force.Among them,acrylamide(AM)and 3-acrylamidophenylboronic acid(AAPBA)were the main body,and the numerous hydroxyl groups in the trehalose(Treh)molecule and other polymer groups formed strong hydrogen bonding interactions to improve the mechanical properties of the PAM/PAAPBA/Treh(PAAT)hydrogel and ensured the simplicity of the synthesis process.The hydrogel possessed high strain at break(1239%),stress(64.7 kPa),low hysteresis(100%to 500%strain,corresponding to dissipation energy from 1.37 to 7.80 kJ/m^(3)),and outstanding cycling stability(retained more than 90%of maximum stress after 200 ten-sile cycles).By integrating carbon nanotubes(CNTs)into PAAT hydrogel(PAATC),the PAATC hydrogel with excellent strain response performance was successfully constructed.The PAATC conductive hydro-gel exhibited high sensitivity(gauge factor(GF)=10.58 and sensitivity(S)=0.304 kPa^(-1)),wide strain response range(0.5%-1000%),fast response time(450 ms),and short recovery time(350 ms),excellent fatigue resistance,and strain response stability.Furthermore,the PAATC-based triboelectric nanogener-ator(TENG)displayed outstanding energy harvesting performance,which shows its potential for appli-cation in self-powered electronic devices.

Reducing voltage hysteresis of metal oxide anodes to achieve high energy efficiency for Li-ion batteries

In the past two decades,a lot of high-capacity conversion-type metal oxides have been intensively studied as alternative anode materials for Li-ion batteries with higher energy density.Unfortunately,their large voltage hysteresis(0.8-1.2 V) within reversed conversion reactions results in huge round-trip inefficiencies and thus lower energy efficiency(50%-75%) in full cells than those with graphite anodes.This remains a long-term open question and has been the most serious drawback toward application of metal oxide anodes.Here we clarify the origins of voltage hysteresis in the typical SnO2anode and propose a universal strategy to minimize it.With the established in situ phosphating to generate metal phosphates during reversed conversion reactions in synergy with boosted reaction kinetics by the added P and Mo,the huge voltage hysteresis of 0.9 V in SnO_(2),SnO_(2)-Mo,and 0.6 V in SnO2-P anodes is minimized to 0.3 V in a ternary SnO_(2)-Mo-P(SOMP) composite,along with stable high capacity of 936 mA h g^(-1)after 800 cycles.The small voltage hysteresis can remain stable even the SOMP anode operated at high current rate of10 A g^(-1)and wide-range temperatures from 60 to 30℃,resulting in a high energy efficiency of88.5% in full cells.This effective strategy to minimize voltage hysteresis has also been demonstrated in Fe2O3,Co3O4-basded conversion-type anodes.This work provides important guidance to advance the high-capacity metal oxide anodes from laboratory to industrialization.

Hysteresis loss free soft magnetic ferrites based on Larmor precession

A big enough transverse magnetic field applied to soft magnetic ferrite toroid can magnetize the ferrite to a saturation level in transverse direction and almost completely suppresses magnetic domain structures in the ferrite,the response to the longitudinal alternating electromagnetic field changes from the original domain wall displacements and spin rotations to the precession of magnetization around the transverse field,and the hysteresis loss disappears in the ferrites.Both theoretical and experimental results indicate that the permeability and magnetic loss in the ferrite can be controlled by adjusting the transverse magnetic field.A higher Q value with relatively low permeability can be achieved by increasing the transverse field,which ensures that the ferrite can be operated at high frequencies,with magnetic loss being very low.

Modulating J-V hysteresis of planar perovskite solar cells and mini-modules via work function engineering

Commercialization of perovskite solar cells(PSCs) requires the development of high-efficiency devices with none current density-voltage(J-V) hysteresis. Here, electron transport layers(ETLs) with gradual change in work function(WF) are successfully fabricated and employed as an ideal model to investigate the energy barriers, charge transfer and recombination kinetics at ETL/perovskite interface. The energy barrier for electron injection existing at ETL/perovskite is directly assessed by surface photovoltage microscopy, and the results demonstrate the tunable barriers have significant impact on the J-V hysteresis and performance of PSCs. By work function engineering of ETL, PSCs exhibit PCEs over 21% with negligible hysteresis. These results provide a critical understanding of the origin reason for hysteresis effect in planar PSCs, and clear reveal that the J-V hysteresis can be effectively suppressed by carefully tuning the interface features in PSCs. By extending this strategy to a modified formamidinium-cesium-rubidium(FA-Cs-Rb) perovskite system, the PCEs are further boosted to 24.18%. Moreover, 5 cm × 5 cm perovskite mini-modules are also fabricated with an impressive efficiency of 20.07%, demonstrating compatibility and effectiveness of our strategy on upscaled devices.

A precision-drive hysteresis model with an equal-density weight function for GMA feedforward compensation

Giant magnetostrictive actuators(GMAs) are a widely used type of micro-nano actuator, and they are greatly significant in the field of precision engineering. The accuracy of a GMA often depends on its hysteresis model. However, existing models have some limitations,including the difficulty of identifying their parameters and the tradeoff between the quantity of modeling data required and the level of precision achieved. To solve these problems, in this paper, we propose a Preisach inverse model based on equal-density segmentation of the weight function(E-Preisach). The weight function used to calculate the displacement is first discretized. Then, to obtain a finer weight distribution, the discretized geometric units are uniformly divided by area. This can further minimize the output displacement span, and it produces a higher-precision hysteresis model. The process of parameter identification is made easier by this approach, which also resolves the difficulty of obtaining high precision using a small amount of modeling data. The Preisach and the E-Preisach inverse models were investigated and compared using experiments. At frequencies of 1 and 5 Hz, it was found that the E-Preisach inverse model decreases the maximum error of the feedforward compensation open-loop control to within 1 μm and decreases the root-mean-square error in displacement to within0.5 μm without the need to increase the number of measured hysteresis loops. As a result, the E-Preisach inverse model streamlines the structure of the model and requires fewer parameters for modeling. This provides a high-precision modeling method using a small amount of modeling data;it will have applications in precision engineering fields such as active vibration damping and ultra-precision machining.

Supreme Theory of Everything: The Fundamental Forces in Quantum Hysteresis

Gravity is considered one of the most mysterious of the four fundamental forces, a well-studied but poorly understood phenomenon in science. Newtonian physics and General Relativity have studied it from outside. Based on fundamental forces the Grand Unified Theory (GUT) and the Standard Model (SM) of Particle Physics study from the inside. GUT and SM explain three fundamental forces that govern the universe: electromagnetism, the strong force, and the weak force. The fourth fundamental force hopes that must be gravity, which the SM cannot adequately explain. The research aims to explain fundamental forces and their interactions based on the hysteresis law. The hysteresis law studies the fundamental forces from both inside and outside, so, I hope it can explain the rules and principles of the universe from the microworld to the macroscopic world. The united force of the three fundamental forces in high energy singularity (vertical asymptote) of the hysteresis becomes the weakest like weak interaction and continuously like strong force but has an infinite range like electromagnetic interaction. In this sense, it may be called gravity. Unfortunately, gravity is not an individual force;it is the positive singularity or high energy asymptotic sum of three fundamental forces emerging from the depth of the hysteresis of the subatomic particles.

基于PI建模和反步滑模控制的主动波浪补偿策略

海上起重船受风、浪、涌影响会产生剧烈的船舶姿态变化,造成起重机和货物的位姿变化,对货物和人员存在安全隐患,波浪补偿平台的稳定性控制能有效减少复杂海况下船舶运动对海上作业安全性、稳定性和精准性的影响,对浮式起重船海上设备精准装载作业极其重要。针对补偿平台的迟滞非线性导致的建模困难和控制不精确问题,本文提出基于PI(Prandtle–Ishlinskii)建模和反步滑模控制的主动波浪补偿策略。首先,通过实验得到补偿系统的迟滞效应曲线,分析系统迟滞环建立PI迟滞模型,并采用递推最小二乘法辨识模型的各个参数,从而求得系统模型。然后,基于李雅普诺夫(Lyapunov)稳定性设计反步控制补偿方法,并结合滑模控制规律加快初始控制速度。最后,将反步滑模法应用于补偿系统,采用MATLAB软件仿真在规则波和不规则波下的响应来验证算法和模型的正确性,并在工控机中用C#编写控制程序,驱动运动控制卡控制伺服电机带动电缸进行补偿运动,同时通过传感器采集系统运动的实时数据,并反馈给工控机形成闭环,以期验证补偿平台在补偿规则波和不规则波下的补偿效果。实验结果表明,所建立的斯图尔特(Stewart)浮式平台中,PI迟滞模型具有良好的精度,反步终端滑模控制算法在Stewart平台的实际控制中能够很好地补偿波浪运动,相比比例–积分–微分控制(PID)、反步法、强化学习等控制方法,反步终端滑模方法能快速较好跟踪期望位移,补偿精度达到0.9729。

非正弦激励下高频变压器铁心动态磁滞特性模拟方法

高频变压器是DC/DC变换器的核心部件,其激励波形一般为非正弦波,工作频率可达数千赫兹以上,导致铁心损耗显著增加,准确模拟非正弦激励下高频变压器铁心动态磁滞特性,有助于铁心损耗计算以及变压器的电磁暂态分析。首先,该文考虑铁心磁化物理过程,利用系统级电力电子仿真软件PLECS中底层模块和语言编写程序,建立基于静态J-A磁滞模型和磁导-电容类比法的铁心静态磁滞磁导模型;然后,考虑高频条件下涡流效应与弛豫效应对铁心动态磁滞特性的影响,根据损耗统计理论建立铁心动态磁滞磁导模型;最后,基于模拟退火与Levinberg-Marquardt混合算法提取静态J-A磁滞模型参数,根据铁心损耗特性曲线采用最小二乘法提取动态损耗系数。对比分析不同占空比、高频方波电压激励下电流波形以及磁滞回线的仿真结果与实验测量结果,验证了模型的有效性。

腐蚀疲劳交替下2A12-T4航空铝合金的寿命分析研究

基于飞机服役期间经历“地面腐蚀与空中疲劳”的交替损伤模式,考虑载荷间的相互作用,研究了航空铝合金2A12-T4在预腐蚀与“腐蚀+疲劳”交替模式下疲劳寿命的退化与损伤累积规律。同级加载条件下提出利用腐蚀疲劳耦合损伤指数和迟滞载荷用来描述考虑交替腐蚀疲劳损伤模式,用各级疲劳损伤间的相互影响及腐蚀损伤与疲劳损伤在服役工作期间的耦合作用来描述腐蚀、疲劳间的相互促进、加速劣化的现象。基于损伤力学和非线性累积理论,考虑载腐蚀疲劳耦合指数与迟滞载荷对传统的Miner线性累积损伤理论进行修正。建立了飞机结构材料的寿命计算模型,并将模型计算结果与试验结果进行对比验证。确定了腐蚀实验中的腐蚀耦合损伤,并利用低载锻炼效应理论得出均匀分布的迟滞载荷。计算结果表明,本文提出的寿命计算模型的结果与实验结果比较吻合。

EPDM非线性力学行为及其拉伸速率特性研究

为研究三元乙丙(ethylene propylene diene monomer, EPDM)力学行为的拉伸速率依赖性,分别开展了拉伸速率为3、30、300、500 mm/min下EPDM的单轴拉伸实验,分析了EPDM非线性力学行为规律及其拉伸速率特性。基于分数阶Kelvin-Vogit模型、ZWT模型和OGDEN模型,对应变160%时不同拉伸速率的实验曲线进行了拟合,对比研究了模型的表征能力。结果表明,EPDM全程加载曲线呈典型“S”型,具有显著的非线性迟滞特性,且拉伸速率越大迟滞环面积越大,阻尼损耗能力越强;在应变大于68%阶段,EPDM力学行为的拉伸速率特性显著,并呈现硬化现象。分数阶Kelvin-Vogit模型和OGDEN模型适用于EPDM在低拉伸速率下、应变低于68%阶段黏弹性材料的力学行为的表征;ZWT模型适用于EPDM在高拉伸速率下应变高于100%阶段黏弹性材料的力学行为的表征,且ZWT模型在低拉伸速率下也具有较好的拟合效果。研究结果可为EPDM制品的性能评估及优化提供有益参考。

氢含量对锆合金蠕变-疲劳行为的影响及机理研究

针对反应堆用锆合金渗氢后易发生蠕变-疲劳失效问题,采用频率修正应变寿命法和频率修正滞回能法研究了再结晶状态的锆合金在320oC、不同渗氢含量下的蠕变-疲劳行为。结果表明:随保持时间增加,无渗氢试样的抗蠕变-疲劳性能降低,但保持时间30 s以上时无明显影响;保持时间对渗氢试样的抗蠕变-疲劳性能无影响。不同保持时间下,未渗氢试样的抗蠕变-疲劳性能最好,0.04%氢含量试样的性能最差,0.005%氢含量在高应变水平(高滞回能)下的抗蠕变-疲劳性能弱于0.02%氢含量试样,而在低应变水平区域优于0.02%氢含量试样。氢含量的影响机理为:固溶氢可提高蠕变-疲劳寿命,氢化物可降低蠕变-疲劳寿命;0.04%氢含量试样中氢化物起主导作用,导致其蠕变-疲劳性能最差。

两条鲢鱼小清蛋白源抗冻肽的活性及作用机制比较

目的:探讨鲢鱼小清蛋白源抗冻肽的作用机制和构效关系。方法:采用差示扫描量热和分子动力学模拟方法对比分析了两条鲢鱼小清蛋白源抗冻肽的活性、结构及其作用模式。结果:Pv-AFP 1(KAADSFNHKAFFAKVG)呈稳定的α-螺旋结构,而Pv-AFP 2(KAADSFNHKAF)倾向于呈无规卷曲;Pv-AFP 1的热滞值为0.87℃,总平均亲水性为-0.21,热滞活性和两亲性均优于Pv-AFP 2(0.74℃,-0.71);分子动力学模拟显示Pv-AFP 1能结合53个水分子,可形成16个氢键吸附至冰晶表面,结合能为-1514 kJ/mol,均大于Pv-AFP 2(能结合50个水分子,通过形成11个氢键吸附至冰面,结合能为-805 kJ/mol);尽管两条肽序列相似,但其与水分子和冰晶相互作用的主要位点和模式也有一定差异。此外,两条肽均能与冰水界面相互作用,改变了冰面的曲率从而抑制了水的结冰,但Pv-AFP 1抑制冰面生长的效果优于Pv-AFP 2,与热滞活性结果一致。结论:鲢鱼小清蛋白源抗冻肽的活性可能与构象、两亲性及其与水分子和冰晶相互作用的亲和力、位点和模式有关。

空间天文望远镜自适应精密稳像闭环控制

针对空间天文望远镜低频段视轴扰动补偿问题,提出了一种基于主动光学技术的自适应精密稳像闭环控制方法。该方法以精细导星仪(Fine Guide Sensor,FGS)为高精度视轴扰动检测器,以四点支撑压电驱动大口径快摆镜机构(Fast Steering Mirror,FSM)为视轴扰动补偿器。首先,采用位置式PID控制器串联积分环节进行精密稳像闭环控制,得到补偿FGS检测出的二维视轴扰动所需FSM的二维摆动角度,进而根据驱动结构转换为每个支撑点的压电陶瓷执行器(Piezoelectric actuators,PZT)的伸缩量。然后,利用基于广义Bouc-Wen逆模型的压电动态迟滞前馈补偿方法进行高精度的压电陶瓷执行器定位控制。最后,根据有监督的Hebb学习规则,利用具有自学习和自适应能力单神经元对PID控制器参数进行调整,从而得到最优控制器参数。实验结果表明,所提控制方法能够有效地补偿空间天文望远镜的视轴偏差,可以将精细导星仪X方向和Y方向的星点质心位置偏差功率谱密度在0~6 Hz频段内积分值分别抑制了98.54%和98.62%。

反复荷载下圆钢管型钢再生混凝土组合柱恢复力模型研究

为建立圆钢管型钢再生混凝土组合柱的恢复力模型,对11根圆钢管型钢再生混凝土组合柱试件进行了低周反复荷载试验研究,考虑了再生骨料取代率、配钢率及钢管径厚比等不同设计参数的影响,分析了组合柱的地震破坏形态及滞回性能。基于组合柱的力学特征及曲线形状,提出了圆钢管型钢再生混凝土组合柱骨架曲线的三折线参数模型,采用理论推导与数据拟合的方法确定了组合柱骨架曲线的模型参数。在此基础上,给出了组合柱的滞回规则和卸载规律,构建了组合柱的恢复力模型,计算滞回曲线与试验滞回曲线吻合良好,表明该恢复力模型较好地反映了反复荷载下组合柱的受力特征点及滞回性能,可为此类组合柱的推广提供技术参考。

基于双回路反馈的光纤干涉式GIS局部放电超声传感系统研究

光纤干涉式GIS局部放电超声传感系统受到环境干扰,会导致超声检测灵敏度降低。基于单回路反馈的传感系统能够抑制振动干扰,但长时间工作仍会出现工作点漂移。文中首先分析了单回路反馈传感系统工作点漂移的原因,指出了压电陶瓷迟滞效应的影响;其次,搭建了基于双回路反馈的光纤干涉式GIS局部放电超声传感系统,引入了二次反馈回路以补偿一次反馈回路累积的低频相位调制误差;再次,通过振动干扰下的超声检测试验和GIS局部放电检测试验,证明了双回路反馈传感系统能够长时间保持稳定的超声检测灵敏度;最后,搭建了真型126 kV GIS局部放电检测试验平台,利用双回路反馈传感系统成功检测到了金属颗粒引发的局部放电和跳动声信号,检测到的最小视在放电量为5.2 pC。

卫星运输T型钢丝绳隔振器刚度及阻尼研究

钢丝绳隔振器可以缓解卫星运输过程中振动产生的危害,但其缺少试验基础研究,无法提供仿真输入,难以准确实现卫星损伤仿真。针对此问题,对T型钢丝绳隔振器刚度及阻尼特性进行了理论分析和试验研究。首先,对钢丝绳隔振器系统的力学特性进行了理论分析,建立了理想的迟滞回环曲线;其次,建立了钢丝绳隔振器静刚度和动刚度力学测试系统;最后,通过准静态加载以构建静刚度条件下压缩、横滚、剪切状态力和位移的关系。在预承载力为5 kN、振幅为1 mm条件下,分别测试了激振频率5~8 Hz条件下的动刚度性能。结果表明:准静态加载条件下,钢丝绳隔振器的力和位移关系较为稳定;动刚度条件下,在5~8 Hz频率之间,动刚度变化较为稳定;等效阻尼随着激振频率的增加而增加。

有压差下全接触刷式密封迟滞特性数值研究

刷式密封迟滞特性引起的泄漏问题、摩擦磨损问题及流动换热问题较为突出。刷式密封迟滞特性数值模型呈现接触对多、刷丝大变形的特点,存在非线性程度较高、收敛性较差的问题。提出了基于有限元软件ABAQUS的刷式密封迟滞特性求解模型,考虑刷丝之间接触、刷丝与背板接触、刷丝与转子之间接触,引入阻尼提高模型收敛性。在数值计算与实验结果、理论计算对比验证的基础上,研究了刷丝自由端长度、刷丝直径、刷丝倾斜角度以及上下游压差对迟滞特性和接触力最大值的影响程度。研究结果表明:随着上下游压差、直径的增大,刷式密封迟滞特性呈现增加的趋势,而刷丝倾角的增加导致迟滞特性呈现递减的趋势,刷丝自由端长度的改变对迟滞特性的影响较小;刷丝直径是影响刷丝与转子之间接触力最大值的主要因素,刷丝倾斜角度对接触力最大值有一定程度影响。上述研究为分析刷式密封迟滞特性提供了理论依据,为降低迟滞特性提供了参考。

变温条件下解析Preisach磁滞模型误差修正和特征参数辨识方法

温度升高会影响磁性材料的磁滞特性,从而改变电气设备的性能。目前解析Preisach模型无法对温度进行有效表征,导致损耗计算结果误差较大。为此,本文首先分析了基于Lorentzian函数的解析Preisach模型特征参数对磁滞回线形状参数的影响程度,如饱和磁通密度、矫顽力、剩磁等,研究了不同温度下模型参数和材料磁特性的变化。根据模型特征参数具有的磁滞回线形状相关性和温度相关性,引进温度系数来修正模型特征参数,构建变温条件下的解析Preisach模型,并给出了计及温度影响的模型参数辨识方法。最终实验测量纳米晶合金在变温条件下的极限磁滞回线,对多组实测值和修正后的解析Preisach模型计算值进行对比后,得出在饱和磁通密度、矫顽力和剩磁处修正模型结果的平均相对误差分别为0.15%、2.21%、5.76%,证明了该修正模型的准确性。