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Design and utilization of thrust fluctuation of slotted-tubular permanent magnet linear motor: Mechatronics for low-frequency vibration forming machine 槽管式永磁直线电机推力波动的设计与利用低频振动成型机的机电一体化
Pub Date : 2024-01-01 DOI: 10.1177/16878132231222906
Jingzhou Gao, Wei Du, Zhenhao Zheng, Shengdun Zhao, Weiming He
Usually, the conventional low-frequency vibration forming machine has a main transmission mechanism as the driving source to provide forming force and an auxiliary mechanism as the vibration source to generate vibration force. The transmission chain is long and the structure is complex and bloated, which affects the forming process and product quality. This paper presents a novel mechatronics idea of low-frequency vibration forming machine, which uses a slotted tubular permanent magnet synchronous linear motor (slotted-TPMLM) as both the driving source and the vibration source. The key is that the slotted-TPMLM provides sufficient forming force accompanied with a certain low-frequency vibration force. Consequently, this paper focuses on the thrust fluctuation caused by the structure. Firstly, the effect of end force and the influence of cogging force are discussed in detail through Fourier analyses, especially the stator adjustment length and pole-slot combination. Then, the slotted-TPMLM is designed, manufactured, and tested. The results show that the slotted-TPMLM can provide a certain low-frequency vibration force (low frequency of 4.8 Hz at 100 mm/s and 48 Hz at 1000 mm/s), which meets the technical requirements. Consequently, the feasibility of the novel mechatronics idea of a low-frequency vibration forming machine has been verified. This research will contribute to the field of linear motors and metal forming machines.
传统的低频振动成形机通常以主传动机构作为驱动源提供成形力,以辅助机构作为振动源产生振动力。传动链长,结构复杂臃肿,影响成型工艺和产品质量。本文提出了一种新颖的低频振动成形机机电一体化思路,即使用带槽管状永磁同步直线电机(slototted-TPMLM)作为驱动源和振动源。其关键在于开槽管状永磁同步直线电机在提供足够成型力的同时,还能提供一定的低频振动力。因此,本文重点研究该结构引起的推力波动。首先,通过傅里叶分析详细讨论了端面力的影响和齿槽力的影响,特别是定子调整长度和极槽组合。然后,设计、制造并测试了带槽 TPMLM。结果表明,开槽型 TPMLM 可以提供一定的低频振动力(100 mm/s 时的低频为 4.8 Hz,1000 mm/s 时的低频为 48 Hz),满足技术要求。因此,低频振动成形机这一新型机电一体化构想的可行性得到了验证。这项研究将为直线电机和金属成型机领域做出贡献。
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引用次数: 0
Intelligent road segmentation and obstacle detection for autonomous railway vehicle 用于自动驾驶轨道车辆的智能道路分割和障碍物检测
Pub Date : 2024-01-01 DOI: 10.1177/16878132231225312
Dongtai Li, Jie Zhang
For autonomous railway vehicle with complex crisscrossed tracks, it is a huge challenge to intelligently detect the trespassers lying in the possible track regions where the train will move along. In order to solve the issue that the existing object detection algorithms detect all obstacles in traffic scene images, a novel strategy YOLOSEG is proposed for intelligent road segmentation and obstacle detection of railway trespasser. Unet is firstly trained to intelligently segment the railway track region where the train is likely to move on, and then the generated region mask is introduced into object detection network for recognizing obstacle within the mask area. The real video of the obstacle emerging in front of the train is difficult to record, therefore the traffic scenes taken from drivers’ perspectives are randomly combined with various obstacles to create the synthetic training dataset which covers various railway traffic scenarios and lighting conditions, and at the same time the label file is automatically generated. Furthermore, a random brightness strategy is proposed for dataset enhancement. By the performance evaluation comparison of FLOPs, Top-1 Accuracy, and mAP@0.5/%, abundant trespasser detection experiments based on synthetic dataset and real images verify the accuracy and effectiveness of the proposed method.
对于具有复杂纵横交错轨道的自主轨道车辆来说,如何智能检测列车可能行驶的轨道区域内的闯入者是一个巨大的挑战。为了解决现有物体检测算法检测交通场景图像中所有障碍物的问题,我们提出了一种新颖的 YOLOSEG 策略,用于智能道路分割和铁路闯入者障碍物检测。首先对 Unet 进行训练,智能分割火车可能行驶的铁轨区域,然后将生成的区域掩码引入物体检测网络,识别掩码区域内的障碍物。列车前方出现障碍物的真实视频难以记录,因此从司机视角拍摄的交通场景与各种障碍物随机组合,创建涵盖各种铁路交通场景和照明条件的合成训练数据集,同时自动生成标签文件。此外,还提出了一种用于增强数据集的随机亮度策略。通过 FLOPs、Top-1 准确率和 mAP@0.5/% 的性能评估比较,基于合成数据集和真实图像的大量非法闯入者检测实验验证了所提方法的准确性和有效性。
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引用次数: 0
Design and analysis of a novel variable stiffness joints with robots 新型可变刚度机器人关节的设计与分析
Pub Date : 2024-01-01 DOI: 10.1177/16878132231219612
Feng Wei, Lixiang Zhang, Yeming Zhang, Shuping Li, Ke Yao, Cunjian Li
This paper presents the design of a symmetric variable stiffness joint that employs worm gear and sliding helical transmissions to adjust the effective length of the leaf springs. Firstly, the design concept and working principle of the variable stiffness joint are presented, along with two different assembly methods. Secondly, the stiffness equations and characteristics of the variable stiffness joint are then derived and analyzed. Next, the dynamics of the variable stiffness joint are modeled and simulated visually using Simulink. Finally, a prototype of the variable stiffness joint is constructed and its stiffness characteristics are experimentally verified. The experimental results demonstrate that both assembly methods are capable of adjusting the stiffness and position of the joint within a certain range. This study contributes to the understanding and development of symmetric variable stiffness joints by presenting a comprehensive design, analysis, simulation, and experimental evaluation. The proposed joint has potential applications in various fields that require adaptability, adjustability, and safety.
本文介绍了对称可变刚度接头的设计,该接头采用蜗轮蜗杆和滑动螺旋传动来调节板簧的有效长度。首先,介绍了变刚度接头的设计理念和工作原理,以及两种不同的装配方法。其次,推导并分析了变刚度接头的刚度方程和特性。接着,使用 Simulink 对可变刚度接头的动态进行建模和可视化仿真。最后,构建了可变刚度接头的原型,并通过实验验证了其刚度特性。实验结果表明,两种装配方法都能在一定范围内调节关节的刚度和位置。本研究通过全面的设计、分析、模拟和实验评估,为对称变刚度接头的理解和开发做出了贡献。所提出的关节有可能应用于需要适应性、可调节性和安全性的各个领域。
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引用次数: 0
Acoustic attenuation prediction and analysis of perforated hybrid mufflers with non-uniform flow based on frequency domain linearized Navier-Stokes equations 基于频域线性化纳维-斯托克斯方程的非均匀流穿孔混合消声器声衰减预测与分析
Pub Date : 2024-01-01 DOI: 10.1177/16878132231226055
Zhirong He, Zhenlin Ji, Yiliang Fan
The three-dimensional frequency-domain linearized Navier-Stokes equations (LNSEs) with consideration of eddy viscosity are developed to evaluate the acoustic attenuation performance of perforated hybrid mufflers in the presence of non-uniform flow. The computations are performed in two steps: time averaged flow variables are acquired by using steady-state computational fluid dynamics (CFD) method and then mapped into the acoustic mesh, and the acoustic perturbation variables are obtained by solving frequency-domain LNSEs, where the sound-absorbing material is treated as an equivalent fluid with complex sound speed and density. The predictions of transmission losses of the two-pass perforated hybrid mufflers in the presence of non-uniform flow are in good consistencies with the measurements, which verifies the correctness of LNSEs. The effect of Mach numbers on acoustic attenuation performance of the mufflers with different filling densities and perforated components is investigated in detail. The transmission loss of the mufflers with various filling densities are increased by complex airflow in the lower frequency range. For the mufflers where not all components have been perforated, the flow lowers low-frequency resonance peak. The influence of complex airflow on acoustic attenuation performance of all configurations is weakened at higher frequencies.
本文开发了考虑涡流粘度的三维频域线性化纳维-斯托克斯方程(LNSE),用于评估穿孔混合消声器在非均匀流动情况下的声学衰减性能。计算分两步进行:使用稳态计算流体动力学(CFD)方法获取时间平均流动变量,然后映射到声学网格中;通过求解频域 LNSE 获得声学扰动变量,其中吸声材料被视为具有复声速和复密度的等效流体。在非均匀流动的情况下,对双通道穿孔混合消声器传输损失的预测与测量结果非常吻合,这验证了 LNSE 的正确性。详细研究了马赫数对不同填充密度和穿孔部件消声器声学衰减性能的影响。不同填充密度的消声器在低频范围内的传输损耗因复杂气流而增加。对于并非所有部件都穿孔的消声器,气流会降低低频共振峰值。在较高频率下,复合气流对所有配置的声学衰减性能的影响减弱。
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引用次数: 0
Magneto-Williamson nanofluid flow past a wedge with activation energy: Buongiorno model 磁性-威廉森纳米流体流过具有活化能的楔形:Buongiorno 模型
Pub Date : 2024-01-01 DOI: 10.1177/16878132231223027
M Vinodkumar Reddy, M. Ajithkumar, S. Lone, Farhan Ali, P. Lakshminarayana, Anwar Saeed
The current investigation explores the effect of activation energy on the MHD radiative Williamson nanofluid flow across a wedge using heat generation and binary chemical reactivity. The flow model consists of partial differential equations (PDEs) by transforming them into ordinary differential equations (ODEs). Numerical computations have been carried out through the bvp4c MATLAB package. The most effective solutions for flow profiles have been displayed through graphs, while the numeric solutions for the drag friction, heat, and mass transport have been displayed via tables. Numerical findings demonstrate that the temperature field is accelerated by the increase in radiation parameter. In addition, it is intriguing to discover that the concentration boundary layer thickness improves as the activation energy increases. A fundamental study further reveals that the local skin friction coefficient is a rising function of thermal and concentration Grashof numbers. Moreover, it is concluded that the enhanced Brownian motion, thermophoresis, and Eckert number decline the heat transfer rate.
目前的研究利用热生成和二元化学反应性探讨了活化能对楔形MHD辐射威廉姆森纳米流体流动的影响。流动模型由偏微分方程 (PDE) 组成,并将其转换为常微分方程 (ODE)。数值计算通过 bvp4c MATLAB 软件包进行。流动剖面的最有效解决方案通过图表显示,而阻力摩擦、热量和质量传输的数值解决方案则通过表格显示。数值结果表明,辐射参数的增加会加速温度场的变化。此外,令人感兴趣的是,随着活化能的增加,浓度边界层厚度也会增加。基础研究进一步发现,局部表皮摩擦系数是热量和浓度格拉肖夫数的上升函数。此外,研究还得出结论,增强的布朗运动、热泳和埃克特数会降低传热速率。
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引用次数: 0
Application of linguistic fuzzy neural network to landing control 语言模糊神经网络在着陆控制中的应用
Pub Date : 2024-01-01 DOI: 10.1177/16878132241227115
Li-Hsiang Chien, J. Juang
Most aircraft accidents occurred during the final approach. Wind disturbance is one of the significant factors in these accidents. During the landing phase, the Automatic Landing System (ALS) can help aircraft land safely and significantly reduce the pilot’s work loading. Control schemes of the conventional ALS usually use gain-scheduling and traditional PID control techniques. A traditional controller cannot control the aircraft if the weather conditions are beyond the allowed limits. To improve the performance of the landing control, this study applies a linguistic fuzzy neural network (LFNN) to replace the conventional controller of ALS. Adaptive learning rules are proposed to enhance the LFNN control ability. The method used to obtain adaptive learning rules is the Lyapunov stability theory. Moreover, the convergence of the system performance error is proved by the Lyapunov theory. This study also compares previously proposed control schemes in aircraft landing control. Different turbulence strengths are implemented into the flight simulation to make the proposed controller more robust and adaptive to various wind disturbance conditions. The LFNN controller can successfully overcome 75 ft/s wind speed, while the adaptive LFNN can reach 80 ft/s with optimal learning rates. Using optimal convergence theorems, the proposed controller performs better than the controllers trained by a fixed learning rate.
大多数飞机事故都发生在最后进近过程中。风干扰是造成这些事故的重要因素之一。在着陆阶段,自动着陆系统(ALS)可以帮助飞机安全着陆,并大大减轻飞行员的工作负担。传统自动着陆系统的控制方案通常采用增益调度和传统 PID 控制技术。如果天气条件超出允许范围,传统控制器就无法控制飞机。为了提高着陆控制的性能,本研究采用语言模糊神经网络(LFNN)来替代传统的 ALS 控制器。研究提出了自适应学习规则,以增强 LFNN 的控制能力。获得自适应学习规则的方法是 Lyapunov 稳定性理论。此外,Lyapunov 理论还证明了系统性能误差的收敛性。本研究还比较了之前提出的飞机着陆控制方案。在飞行仿真中实施了不同的湍流强度,以使提出的控制器对各种风干扰条件具有更强的鲁棒性和适应性。LFNN 控制器能成功克服 75 英尺/秒的风速,而自适应 LFNN 则能以最佳学习率达到 80 英尺/秒。利用最优收敛定理,所提出的控制器比采用固定学习率训练的控制器性能更好。
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引用次数: 0
Comparative analysis of oldroyd-b and casson nanofluids flowing through chemically reactive radiative porous medium 流经化学反应辐射多孔介质的 Oldroyd-B 和 Casson 纳米流体的比较分析
Pub Date : 2024-01-01 DOI: 10.1177/16878132231223872
S. A. Shehzad, Rabia Farid
The comparative analysis of non-Newtonian nanofluids with Newtonian conditions are addressed in this research. Oldroyd-B and Casson fluids are adopted as the non-Newtonian fluids (NNF). The generation of flow is due to bidirectionally movement of magnetized surface. Radiation and chemical reactive processes are accounted in energy and mass transportation equations. Buongiorno’s theory of nanoparticles is developed for the nanofluids analysis. The basic formulas of fluid dynamics are incorporated to formulate the physical model. The assumption of boundary-layer is utilized for the simplification of mathematical model. The arising nonlinear model of three independent variables are converted into one independent variable model using similarity constraints. The simplified mathematical model is treated analytically through the implementation of homotopic approach. The convergence of this scheme is verified through numerical benchmark and graphic illustration. The results of versatile constraints on physical quantities are addressed numerically and graphically. The comparison of results with previous published outcomes is provided in limiting approach.
本研究探讨了非牛顿纳米流体与牛顿条件的比较分析。研究采用 Oldroyd-B 和 Casson 流体作为非牛顿流体(NNF)。流动的产生是由于磁化表面的双向运动。能量和质量传输方程中考虑了辐射和化学反应过程。Buongiorno 的纳米颗粒理论被用于纳米流体分析。流体动力学的基本公式被纳入到物理模型中。利用边界层假设简化数学模型。利用相似性约束将三个独立变量的非线性模型转换为一个独立变量模型。简化后的数学模型通过同位方法进行分析处理。通过数值基准和图形说明验证了该方案的收敛性。对物理量的多功能约束结果进行了数值和图形处理。在极限方法中,将结果与之前公布的结果进行了比较。
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引用次数: 0
Controlling the flow loss of a supersonic compressor rotor using the blade slotting method 利用叶片开槽法控制超音速压缩机转子的流量损失
Pub Date : 2024-01-01 DOI: 10.1177/16878132231219487
Xin Ye, Zhenggui Zhou
The flow loss in the blade passage of a supersonic compressor rotor mainly comes from the boundary layers on the blade surface and end wall, the shock wave, the shock wave/boundary layer interaction, and tip leakage flow; the instability is mainly caused by the shock wave near the rotor blade tip exiting the blade passage. This paper adopts an internal slot in the blade, with the inlet of the slot located at the leading edge of the blade and the outlet located on the suction surface of the blade, by using the momentum of the incoming flow to form a high-velocity jet to control the flow loss and improve the stall margin of the supersonic rotor. The mechanism of reducing flow loss by a slotting jet was studied, and a genetic algorithm optimization platform was further used for the coupled optimization design of the slot and blade. The numerical calculation results showed that the slotting jet can effectively suppress the development of the boundary layer on the suction surface while reducing the intensity of the shock wave, thereby reducing the loss of the boundary layer and shock wave, significantly improving the peak efficiency of the rotor, and increasing the mass flow rate at the peak efficiency point. The slotting jet can cause the shock wave in the passage to move downstream, thereby improving the stall margin of the rotor. Due to the strong shock wave in the blade passage near the blade tip, the slot outlet should be near and upstream of the shock wave; the shock wave in the middle and root regions of the blade is weaker, and the slot outlet should be located downstream of the shock wave.
超音速压缩机转子叶片通道中的流动损失主要来自于叶片表面和端壁的边界层、冲击波、冲击波/边界层相互作用以及叶尖泄漏流;不稳定性主要是由转子叶尖附近的冲击波流出叶片通道造成的。本文采用在叶片上开内槽的方法,槽的入口位于叶片的前缘,出口位于叶片的吸气面上,利用入流的动量形成高速射流来控制流动损失,提高超音速转子的失速裕度。研究了开槽射流降低流损的机理,并进一步利用遗传算法优化平台对开槽和叶片进行了耦合优化设计。数值计算结果表明,开槽射流能有效抑制吸气面边界层的发展,同时降低冲击波的强度,从而减少边界层和冲击波的损失,显著提高转子的峰值效率,增加峰值效率点的质量流量。开槽射流可使通道中的冲击波向下游移动,从而提高转子的失速裕度。由于叶尖附近叶片通道中的冲击波较强,开槽出口应靠近冲击波并位于其上游;叶片中部和根部区域的冲击波较弱,开槽出口应位于冲击波的下游。
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引用次数: 0
Numerical investigation of the influences of ridge ice parameters on lift and drag coefficients of airfoils through design of experiments 通过实验设计对脊冰参数对机翼升力和阻力系数的影响进行数值研究
Pub Date : 2024-01-01 DOI: 10.1177/16878132231226056
Chengyi Zheng, Zheyan Jin, Qiaotian Dong, Zhigang Yang
The complexity of ice accretion shapes on aircraft brings challenges in establishing the physical correlations between the geometric parameters of ice and the aerodynamic performances of an airfoil. The present study applied a quarter-circle simplified ridge ice model and designed four parameters, including the lower ice horn, the height of the upper ice horn, the angle of the upper ice horn, and the location of the upper ice horn. Design of Experiments (DOE) was adopted to design the simulation process and analyze the obtained data. Numerical investigations were carried out to study the effects of these four design parameters on the lift coefficients ( CL) and drag coefficients ( CD) of three airfoils at various angles of attack. The results revealed that the four design parameters had influences on CL and CD in all simulation cases. The influence of the height of the upper ice horn was always dominant, followed by the angle and location of the upper ice horn. The influence degrees of the lower ice horn varied with the angles of attack and airfoils. The change trends of CL and CD were opposite while changing the value of any parameter in most simulation cases. In addition, the leading-edge radii of these three airfoils, as well as the shapes of the upper and lower surfaces, could alter the influences of design parameters on CL and CD.
飞机上的积冰形状复杂,给建立冰的几何参数与机翼气动性能之间的物理关联带来了挑战。本研究采用四分之一圆简化脊冰模型,设计了四个参数,包括下冰角、上冰角高度、上冰角角度和上冰角位置。采用实验设计(DOE)来设计模拟过程并分析获得的数据。数值研究了这四个设计参数对三个翼面在不同攻角下的升力系数(CL)和阻力系数(CD)的影响。结果表明,在所有模拟情况下,四个设计参数都对 CL 和 CD 有影响。上冰角高度的影响始终占主导地位,其次是上冰角的角度和位置。下冰角的影响程度随攻角和翼面的变化而变化。在大多数模拟情况下,在改变任何参数值时,CL 和 CD 的变化趋势都是相反的。此外,这三种翼面的前缘半径以及上下表面的形状也会改变设计参数对 CL 和 CD 的影响。
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引用次数: 0
Adaptive collision-free control for UAVs with discrete-time system based on reinforcement learning 基于强化学习的无人飞行器离散时间系统自适应无碰撞控制
Pub Date : 2024-01-01 DOI: 10.1177/16878132231225321
Xiaoyu Huo, Yanan Guo
A flexible reinforcement learning (RL) optimal collision-avoidance control formulation for unmanned aerial vehicles (UAVs) with discrete-time frameworks is revealed in this work. By utilizing the neural network (NN) estimating capacity and the actor-critic control scheme of the RL technique, an adaptive RL optimal collision-free controller with a minimal learning parameter (MLP) is formulated, which is based on a novel strategic utility function. The optimal collision-avoidance control issue, which couldn’t be addressed in the prior literature, can be resolved by the suggested approaches. Furthermore, the proposed MPL adaptive optimal control formulation allows for a reduction in the quantity of adaptive laws, leading to reduced computational complexity. Additionally, a rigorous stability analysis is provided, demonstrating that the uniform ultimate boundedness (UUB) of all signals in the closed-loop system is ensured by the proposed adaptive RL. Finally, the simulation outcomes illustrate the effectiveness of the proposed optimal RL control approaches.
本研究揭示了离散时间框架下无人驾驶飞行器(UAV)灵活的强化学习(RL)最优防碰撞控制方案。通过利用 RL 技术的神经网络(NN)估计能力和行为批判控制方案,制定了一种具有最小学习参数(MLP)的自适应 RL 最佳防碰撞控制器,该控制器基于一种新颖的战略效用函数。该方法解决了以往文献中无法解决的最优防碰撞控制问题。此外,所提出的 MPL 自适应最优控制公式可以减少自适应法则的数量,从而降低计算复杂度。此外,还提供了严格的稳定性分析,证明所提出的自适应 RL 可确保闭环系统中所有信号的统一终极约束性(UUB)。最后,仿真结果表明了所提出的最优 RL 控制方法的有效性。
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引用次数: 0
期刊
Advances in Mechanical Engineering
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