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2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)最新文献

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Steady-State Vibration Responses of Open Cylindrical Shells Based on Reissner Theory 基于Reissner理论的开孔圆柱壳稳态振动响应
Jian Jiang, Pu Li, Zhaodong Wang
This study provides an effective analytical framework for determining the steady-state response of an open cylinder shell subjected to sinusoidal excitation. On the basis of the Reissner thin shell theory, the calculation formula for the natural frequency of an open cylindrical shell simply supported at all edges is derived, and the method’s accuracy is validated by comparing the calculated results to those of a commercial finite element method (FEM). Using the method of modal shape superposition, the calculation formula for the steady-state response of an open cylindrical shell subjected to sinusoidal excitation is derived after obtaining the natural frequencies and their corresponding modal shapes. Based on this, the impact of structural parameters of open cylindrical shells on the steady-state response is investigated. The results and conclusions of numerical examples can provide references for engineering applications.
该研究为确定开式圆柱壳在正弦激励下的稳态响应提供了一个有效的分析框架。基于Reissner薄壳理论,推导了各边简支开圆柱壳固有频率的计算公式,并将计算结果与商业有限元法进行了比较,验证了该方法的准确性。利用模态振型叠加法,导出了开式圆柱壳在正弦激励下的稳态响应计算公式,得到了壳体的固有频率及其对应的模态振型。在此基础上,研究了开孔圆柱壳结构参数对稳态响应的影响。数值算例的结果和结论可为工程应用提供参考。
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引用次数: 0
Exploring the Attention Level of AR-HUD Interface Elements Based on Driving Scenarios 基于驾驶场景的AR-HUD界面元素关注度探索
Meng Yu, Chenhao Li, Jinchun Wu, Haiyan Wang
AR-HUD (Augmented Reality-Head-Up Display) is a driving assistance system that allows drivers to directly view navigation and warning information through the windscreen in an easily perceivable augmented reality format. However, in ARHUD, the frequency of AR graphics changes is far too frequent, which can easily lead to negative effects such as visual confusion. Using the Situation Awareness theory and the Task-Information theory, this research analysed drivers’ cognitive characteristics and summed up their functional requirements for vehicle information display systems, focusing on three relatively complex driving scenarios. The purpose of this study was to examine the amount of attention paid by drivers to various AR element information in three different driving scenarios involving vehicles passing through traffic intersections with traffic lights (Scenario 1: pull-over parking; Scenario 2: waiting at a red light; Scenario 3: passing through a green light). We invited 54 experienced drivers to conduct the experiments. The experimental results indicated that in all three scenarios, the subjects generally had a higher demand for safety reminders. In Scenario 1 (pull-over parking), they had a higher demand for basic information such as vehicle speed information; in Scenario 2 (waiting at a red light), they had a relatively higher demand for signal light reminders in safety reminder information; in Scenario 3 (passing through a green light), the subjects had significantly higher attention to vehicle speed than other basic information, and due to the complexity of road conditions, the demand for safety reminder information reached the highest level in all three scenarios. In summary, driver’s demand for AR element information varies in different scenarios, as does their subjective attention to different information categories. This paper developed a design method and process based on the driver’s attention hierarchy, with significant implications for guiding AR-HUD design.
AR-HUD(增强现实平视显示器)是一种驾驶辅助系统,允许驾驶员通过挡风玻璃以易于感知的增强现实格式直接查看导航和警告信息。然而,在ARHUD中,AR图形变化的频率过于频繁,容易导致视觉混乱等负面影响。本研究以三种较为复杂的驾驶场景为研究对象,运用态势感知理论和任务信息理论,分析驾驶员的认知特征,总结驾驶员对车辆信息显示系统的功能需求。本研究的目的是检验驾驶员在三种不同的驾驶场景中对各种AR元素信息的关注程度,这些场景涉及车辆通过有红绿灯的交通路口(场景1:靠边停车;场景2:等红灯;场景3:通过绿灯)。我们邀请了54名经验丰富的司机进行实验。实验结果表明,在三种场景下,被试对安全提醒的需求普遍较高。在情景1(靠边停车)中,他们对车速等基本信息的需求更高;在场景2(等红灯)中,安全提醒信息中对信号灯提醒的需求相对较高;在场景3(绿灯通行)中,被试对车速的关注度显著高于其他基础信息,且由于道路条件的复杂性,三种场景中对安全提醒信息的需求均达到最高。综上所述,不同场景下驾驶员对AR元素信息的需求不同,对不同信息类别的主观关注度也不同。本文提出了一种基于驾驶员注意层次的设计方法和流程,对指导AR-HUD设计具有重要意义。
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引用次数: 0
Automated Charging and Docking Station for Security UAVs 安全无人机的自动充电和坞站
Hermias Nieuwoudt, Jacques C. Welgemoed, T. V. Niekerk, R. Phillips
The deployment of UAVs (Unmanned Aerial Vehicles) is becoming a standard practice to perform routine/labour-intensive tasks. These tasks include surveillance, construction monitoring, logistics, crop spraying etc. This work focuses on the application of UAVs in the security industry. Since the deployment of drones is becoming more common it is important to investigate how ground stations can be used to optimize the deployment of these drones. It was found that the recommended core functions of a ground control station should consist of the following: charging or replacing the battery of the drone after landing, compensating for the variation in the landing position, storing the drone safely, and lastly, being able to communicate with the drone. After reviewing existing systems, several concept designs were developed to perform the core functions of the docking station. After the concept design was completed, one overall design was selected and a plan to implement it was created. The docking station has since been built and tested to confirm that performance measures have been reached.
部署无人机(无人驾驶飞行器)正在成为执行常规/劳动密集型任务的标准做法。这些任务包括监视、施工监控、物流、作物喷洒等。本文重点研究了无人机在安防行业中的应用。由于无人机的部署变得越来越普遍,因此研究如何利用地面站来优化这些无人机的部署是很重要的。研究发现,地面控制站推荐的核心功能应该包括:无人机着陆后充电或更换电池,补偿着陆位置的变化,安全存储无人机,最后能够与无人机通信。在审查了现有系统之后,开发了几个概念设计来执行对接站的核心功能。概念设计完成后,选择一个总体设计,并制定实施计划。该对接站已经建成并进行了测试,以确认已达到性能指标。
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引用次数: 0
A Conceptual Design of Two DoF Crawler Tree Planting Robot with Helical Digging Arm 带螺旋挖掘臂的二自由度履带式植树机器人的概念设计
A. B. Tatar, A. K. Tanyıldızı, B. Taşar
In the last decade, technological developments, products, and processes have been used in agricultural activities as well as in all production areas in our world and in our country. Increasing green areas by planting saplings, which is one of the agricultural activities, and preventing climate change by reducing CO2 rates are within the scope of priority areas and green agreements. Planting seedlings quickly and regularly on hundreds of acres of rough land requires high human labor and time and it is costly. It is aimed to carry out this process with a semi-autonomous sapling planting robot due to its advantages such as minimizing manpower activity and cost and providing the opportunity to work 24 hours if necessary. Within the scope of this study, a three-dimensional concept design of a tree planting robot, equipped with a crawler, camera and ultra-dimmer sensor and environmental sensing unit, capable of drilling sequential holes with a spiral soil digging mechanism with a fast and regular lane tracking was made.
在过去十年中,技术发展、产品和工艺已被用于农业活动以及我们世界和我国的所有生产领域。通过种植树苗(农业活动之一)来增加绿地面积,以及通过降低二氧化碳浓度来防止气候变化,都在优先领域和绿色协议的范围内。在数百英亩的粗糙土地上快速而有规律地种植幼苗需要大量的人力和时间,而且成本很高。由于半自动种植机器人的优点,如最大限度地减少人力活动和成本,并在必要时提供24小时工作的机会,因此旨在使用半自动种植机器人来完成这一过程。在本研究范围内,对一种植树机器人进行了三维概念设计,该机器人配备履带、摄像头、超调光传感器和环境传感单元,能够使用螺旋挖土机构进行顺序钻孔,并具有快速、规则的车道跟踪。
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引用次数: 0
Discussion on the Difference in the Effect of Multiple Processing Methods of Vibration Signals of Hydropower Units 水电机组振动信号多种处理方法效果差异的探讨
Chen Sun, Guixue Cheng
According to statistics, more than 80% of the faults in hydropower units can be reflected in the vibration signal, so it is of great significance to effectively process the vibration signal signal of the hydropower unit for the safe operation of the hydropower unit. Empirical Mode Decomposition (EMD) is an adaptive signal decomposition method that breaks down data from high to low frequency into a series of Intrinsic Mode Function (IMF) and a margin. Local Mean Decomposition (LMD) solves the endpoint effect problem of EMD to some extent, but it cannot be ignored. Variational Mode Decomposition (VMD) solves the problem that EMD is drowned in the noise background in a noisy background, resulting in the inability to obtain the signal feature component. This paper mainly discusses the difference between EMD, LMD and VMD when processing vibration signals with noise of hydropower units.
据统计,水电机组80%以上的故障都能在振动信号中反映出来,因此对水电机组的振动信号信号进行有效处理,对于水电机组的安全运行具有重要意义。经验模态分解(Empirical Mode Decomposition, EMD)是一种自适应信号分解方法,它将高频到低频的数据分解成一系列的内禀模态函数(Intrinsic Mode Function, IMF)和一个余量。局部均值分解(LMD)在一定程度上解决了EMD的端点效应问题,但也不容忽视。变分模态分解(VMD)解决了在噪声背景下EMD被噪声背景淹没,导致无法获得信号特征分量的问题。本文主要讨论了EMD、LMD和VMD在处理水电机组含噪声振动信号时的区别。
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引用次数: 0
Modelling and Simulation of Emission Reduction of Diesel Engine by Phase Change Materials (PCM) 相变材料(PCM)对柴油机减排的建模与仿真
Amare Tesfaw Addis, O. Fatoba, T. Jen
In practical application, diesel engines cannot be overemphasized but the drawback of emissions needs to be taken care of. These emissions come in form of sulphur oxides, greenhouse gas, carbon monoxide, particulate matter and nitrogen oxides. Photochemical smog formation is attributed to nitrogen oxides which increases hydroxyl-radical concentrations and tropospheric ozone. The other emissions like sulphuric oxides lead to the formation of sulphuric acid which also leads to adverse effects on human respiratory organ. Carbon monoxide is toxic and can lead to blockage of oxygen in human blood and lead to death. This research is aimed at reducing nitrogen oxides emissions by enhancing and optimizing emission reduction method using phase change materials via experimental work in the literature review and computational fluid dynamic modelling and simulation. This study looks into the environmental impact of diesel emission from fuel combustion. The evaluation consists of a literature study, numerical modeling and simulations of phase change materials with analysis of system software in combustion analysis and comparing the result of combustion with adding the phase change materials. The comparison consists of engine performance, and emission reduction in percent (%). Hence, by introducing the paraffin wax near to the cylinder head of the exhaust port, nitrogen oxide emission was reduced by 45 %. This study would enhance experimental work by researchers by minute modification of the engine block in order to reduce thermal nitrogen oxides.
在实际应用中,对柴油发动机再强调也不为过,但也要注意其排放的缺点。这些排放物以硫氧化物、温室气体、一氧化碳、颗粒物和氮氧化物的形式出现。光化学烟雾的形成归因于氮氧化物,它增加了羟基自由基浓度和对流层臭氧。其他排放物,如硫氧化物,会导致硫酸的形成,也会对人体呼吸器官产生不利影响。一氧化碳是有毒的,会导致人体血液中的氧气堵塞,导致死亡。本研究旨在通过文献综述和计算流体动力学建模与仿真的实验工作,通过改进和优化相变材料减排方法来减少氮氧化物的排放。本研究探讨柴油燃烧排放对环境的影响。评估包括文献研究、相变材料的数值模拟和燃烧分析系统软件分析,以及与添加相变材料的燃烧结果进行比较。比较包括发动机性能和减排百分比(%)。因此,通过在排气口气缸盖附近引入石蜡,氮氧化物排放量减少了45%。这项研究将加强研究人员的实验工作,通过微小的修改发动机机体,以减少热氮氧化物。
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引用次数: 0
Research on the Effects of Distraction-Based Feedback 基于分心的反馈效应研究
Siwen Yao, Haiyan Wang, Xinyue Miao, Xian Li
In the face of a large amount of information in the command system, the commander of emergency relief needs to make efficient decisions. They get distracted when multitasking in parallel or when there is external interference. Typical task scenarios with visual distraction tasks and cognitive distraction tasks are selected to explore whether these two distraction will affect the commander’s performance. Ten participants were recruited to complete the experiment. ANOVA was used to determine the difference between undistracted, distracted, and distracted with feedback, followed by LSD. Experimental results show that visual distraction and cognitive distraction did affect the subjects’ performance, resulting in an increase in the completion time of the primary task and a decrease in the accuracy rate. The feedback for distraction was helpful in improving the performance. Based on the conclusion of this experiment, we suggest that the feedback of popups and dynamic icons could be used to remind users when designing interface and system development based on visual distraction. When based on cognitive distraction, the feedback of dynamic icons and sound effects could be used to remind users.
面对指挥系统中海量的信息,应急救援指挥员需要做出高效的决策。当同时进行多任务处理或有外部干扰时,他们会分心。选择典型的任务场景,包括视觉分心任务和认知分心任务,探讨这两种分心是否会影响指挥官的绩效。10名参与者被招募来完成实验。方差分析用于确定未分心,分心和分心与反馈之间的差异,然后是LSD。实验结果表明,视觉分心和认知分心确实会影响被试的表现,导致完成主要任务的时间增加,正确率下降。分散注意力的反馈有助于提高表现。基于本实验的结论,我们建议在基于视觉干扰的界面设计和系统开发中,可以利用弹出窗口和动态图标的反馈来提醒用户。当基于认知干扰时,可以使用动态图标和声音效果的反馈来提醒用户。
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引用次数: 0
Optimized Design of Dynamic Stiffness of 6-DOF Tandem Robot Based on Response Surface Method 基于响应面法的六自由度串联机器人动刚度优化设计
Liangquan Xu, Jianrun Zhang, Cheng Lin, Hao Peng
In order to improve the structural stiffness and vibration frequency of industrial robots, a robot structure optimization method based on multi-objective dimensional optimization method is proposed in this paper. The method firstly establishes the finite element model of the whole robot considering the torsional and overturning stiffness of each joint, corrects the joint stiffness to reduce the error through the modal test alignment method, and obtains the inherent frequency and modal vibration pattern of each order of the robot. Then, based on this model, the sensitivity analysis of the optimized variables is performed, and the stiffness of the rotating seat is the most influential factor on the stiffness of the robot. Finally, the target drive size optimization method is used to optimize the structure size of the turntable. The method was successfully applied to the analysis and optimization of a 220 kg multifunctional robot for handling and welding, and the results verified the usability and effectiveness of the analysis and optimization method.
为了提高工业机器人的结构刚度和振动频率,本文提出了一种基于多目标多维优化方法的机器人结构优化方法。该方法首先考虑各关节的扭转刚度和翻转刚度,建立整个机器人的有限元模型,通过模态试验对准法对关节刚度进行校正以减小误差,得到机器人各阶的固有频率和模态振动模式。然后,基于该模型对优化变量进行灵敏度分析,发现旋转座刚度是影响机器人刚度的最大因素。最后,采用目标驱动尺寸优化方法对转台结构尺寸进行优化。将该方法成功应用于220kg多功能搬运焊接机器人的分析与优化,结果验证了该分析与优化方法的可用性和有效性。
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引用次数: 0
Investigation of an Advanced Methodology for Automated Quality Inspection of milled CFRP-Edges through the Use of Image Processing of Infrared Images 利用红外图像处理技术自动检测cfrp刃口质量的先进方法研究
Benjamin Schulze, Benjamin Georg Michaelis, Frederick Blome
The need to reduce greenhouse gases during the production and operation of airplanes presents a challenge to the worldwide aviation industry. The introduction of lightweight materials such as carbon fibre reinforced polymer (CFRP) over the last decades has led to new requirements in the overall process chain. The inhomogeneous structure of CFRP-components causes surface defects during the final contour milling like delamination, fibre fraying and fibre splintering. Based on a manual inspection specialized workers check whether a predefined defect tolerance has been exceeded. The manual inspection and individual post-processing of surface defects takes place while the machined component remains in the workspace of the machine. The current processing and quality inspection of CFRP-components has led to non-productive secondary times and because of this, the energy-consumption for every component produced is higher than necessary. This paper presents an investigation of an advanced methodology for the automated inspection of machined CFRP-edges. During the machining of CFRP-components, a thermal camera acquires images of the milled edges. These images are used to compare an idealized temperature profile within a workpiece with the resulting profile including surface defects. The comparison of the ideal and real temperature profile makes it possible to isolate the surface defects and to measure them.
在飞机生产和运行过程中,减少温室气体的需求对全球航空业提出了挑战。在过去的几十年里,碳纤维增强聚合物(CFRP)等轻质材料的引入对整个工艺链提出了新的要求。由于cfrp构件的非均匀性,导致其在最终轮廓铣削过程中出现分层、纤维磨损和纤维碎裂等表面缺陷。在手工检查的基础上,专门的工作人员检查是否超过了预定义的缺陷容忍度。人工检查和单独的表面缺陷后处理发生时,加工部件仍在机器的工作空间。目前cfrp组件的加工和质量检验导致了非生产性二次生产,因此,每个组件的能耗都高于必要的。本文提出了一种先进的方法,用于自动检查加工cfrp边缘的调查。在cfrp构件加工过程中,热像仪获取加工边缘的图像。这些图像用于比较工件内的理想温度分布与包括表面缺陷的结果分布。通过对理想温度分布和实际温度分布的比较,可以分离表面缺陷并对其进行测量。
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引用次数: 1
Multilayer Neural Control of Aircrafts With Disturbance Compensation 具有扰动补偿的飞机多层神经控制
Guichao Yang, Zhiying Shi
In this work, a high-performance multilayer neurocontroller is integrated for unmanned aircraft systems (UASs) with unknown modeling uncertainties. Specially, large endogenous disturbances and exogenous disturbances can be online compensated feed forwardly. Notably, the online learning ability of the multilayer neural networks is strengthened via the weight updating laws composed of different errors. By introducing the second-order filter based backstepping procedure, the integrated algorithm not only protects from the adverse influences generated by tedious derivation iteration, but also possesses a simple scheme for implementation. Additionally, the practicability of the integrated control algorithm is validated on UASs which may suffer from largely unknown endogenous uncertainties and exogenous disturbances via comparative application results.
在这项工作中,针对具有未知建模不确定性的无人机系统(UASs)集成了高性能多层神经控制器。特别地,大的内源干扰和外源干扰可以在线前向补偿。值得注意的是,多层神经网络的在线学习能力通过由不同误差组成的权值更新规律得到增强。通过引入基于二阶滤波器的反推过程,既避免了繁琐的推导迭代带来的不利影响,又具有简单的实现方案。此外,通过对比应用结果,验证了综合控制算法在可能存在大量未知内源不确定性和外源干扰的无人飞行器上的实用性。
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引用次数: 0
期刊
2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)
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