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2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)最新文献

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High-speed automatic biochemical immune assembly line 高速全自动生化免疫流水线
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021551
W. Fan, M. Lin, M. Zhao, Q. Xie, B. Wang
With the continuous improvement of medical technology, the application of automatic biochemical test technology is more and more extensive, users and the market put forward higher and higher requirements for the high speed, stability and accuracy of biochemical detection. This paper introduces a high-speed automatic biochemical immune assembly line with biosafety protection function, the assembly line uses a variety of technical means such as multi-channel transportation, superfine sample addition, ultrasonic blending, photon counter darkroom and biosafety protection, and it can realize the high-speed detection of biochemical items and also ensure the accuracy of detection results.
随着医疗技术的不断提高,自动生化检测技术的应用越来越广泛,用户和市场对生化检测的高速、稳定、准确提出了越来越高的要求。本文介绍了一种具有生物安全防护功能的高速全自动生化免疫流水线,该流水线采用多通道输送、超细样品添加、超声混合、光子计数器暗室、生物安全防护等多种技术手段,可实现生化项目的高速检测,同时保证检测结果的准确性。
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引用次数: 0
Simulation and Experiment Research on Performance of High Power While-drilling Turbine Generator 大功率随钻汽轮发电机性能仿真与试验研究
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021438
Fei Li, Lihao Cheng, Hao Wu, Wenxuan Zhao
To resolve the limitations of downhole turbine generators, such as insufficient power generation, low adaptability of output voltage, and complicated testing of directional drilling tools, the performance study of a turbine generator with high-power capacity and magnetic field excitation was conducted. Based on the Simulink model of the turbine generator and excitation control system, the excitation control system and hardware circuit were designed according to the voltage management requirement of the tool. The external characteristics of the generator at different speeds and loads, the excitation control circuit board's real-time excitation current regulation performance, and the overall closed-loop control performance were simulated and tested. The results show that the model effectively verifies the feasibility of the excitation control principle, the model and prototype version have similar characteristics, and the model can accurately match the prototype. The output voltage range meets the regular operation of directional drilling tools, and the output power can reach 4kW within the rated speed of 6000r/min. The designed excitation regulation system model and hardware circuit meet the tool power management requirements, and the excitation voltage regulation rate is about ±20%. This study solves the relationship between mud flow rates and output power and intuitively guides actual drilling operations and workshop maintenance. As a result, this research can reduce the testing cost and complexity of directional drilling tools.
为解决井下汽轮发电机发电能力不足、输出电压适应性差、定向钻具测试复杂等局限性,开展了大功率磁场激励汽轮发电机的性能研究。基于汽轮发电机和励磁控制系统的Simulink模型,根据工具的电压管理要求,设计了励磁控制系统和硬件电路。仿真测试了发电机在不同转速和负载下的外部特性、励磁控制电路板的实时励磁电流调节性能以及整体闭环控制性能。结果表明,该模型有效验证了励磁控制原理的可行性,模型与样机版本具有相似的特性,且模型能准确匹配样机。输出电压范围满足定向钻井工具的正常作业,在额定转速6000r/min内输出功率可达4kW。设计的励磁调节系统模型和硬件电路满足刀具电源管理要求,励磁电压调节率约为±20%。该研究解决了泥浆流速与输出功率的关系,直观地指导了实际钻井作业和车间维护。因此,该研究可以降低定向钻井工具的测试成本和复杂性。
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引用次数: 0
Research on key technologies of random stacking components automatically crawl 随机堆叠构件自动抓取关键技术研究
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021397
Y. Hancheng, Jin Yanjun, Zhu Xihao, Jiang Seqi
Given the growing demand for intelligence in industrial production, the key technology of robotic arm automatically crawling is being studied and realized using random stacking components as the research object. To begin, the global feature descriptor PPF algorithm is used to extract part features. The visible points that meet the conditions are then combined pairwise in the off-line training stage, and the characteristics of point pairs are calculated to obtain the model describing the object's global information. The components are identified during the online matching stage by employing a voting strategy based on the Hough transform. The RANSAC algorithm is then used for rough pose estimation, and the ICP algorithm is used to fine-tune the pose result to obtain the target's optimal pose estimation. Finally, the transformation matrix after hand-eye calibration based on differential evolution algorithm determines the position and posture of the parts in the real world coordinate system, guiding the manipulator to accurately grab and place the stacked parts. A grab system was built to test it as part of a water pump production line reconstruction project. Using the pump body as an example, the results show that the number of features of the selected point pair is 730,830, the matching accuracy can reach 94.64%, and the matching time consumption is 1.1424 s; the overall average grabbing success rate is 92.3%, which is practical.
随着工业生产对智能化要求的不断提高,以随机堆叠构件为研究对象,研究并实现了机械臂自动爬行的关键技术。首先,采用全局特征描述子PPF算法提取零件特征。然后在离线训练阶段对满足条件的可见点进行配对,计算点对的特征,得到描述目标全局信息的模型。通过采用基于霍夫变换的投票策略,在在线匹配阶段识别组件。然后使用RANSAC算法进行粗略姿态估计,并使用ICP算法对姿态结果进行微调,以获得目标的最优姿态估计。最后,基于差分进化算法的手眼标定后的变换矩阵确定零件在现实世界坐标系中的位置和姿态,指导机械手准确抓取和放置堆叠零件。作为水泵生产线改造项目的一部分,建立了抓取系统对其进行测试。以泵体为例,结果表明:选取的点对特征个数为730,830个,匹配精度可达94.64%,匹配耗时为1.1424 s;总体平均抓取成功率为92.3%,比较实用。
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引用次数: 0
Simulation of thin-walled cylindrical parts assembly under ship oscillation 船舶振荡作用下薄壁圆柱件装配仿真
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021530
Xu Kehui, Xue Kairui, Fan Shixun, Wen Zhijie, Fan Dapeng
Swaying is the main factor restricting the precision docking of shipboard thin-walled parts. Aiming at the assembly error analysis problem of thin-walled cylindrical parts under ship oscillation, this paper presents a simulation analysis method of butt surface center error based on finite element analysis and dynamic analysis. The method integrates the control performance of the electromechanical system, the dynamic deformation of the structure and the transmission clearance. In swaying environment, establishing the simulation model of cylinder parts docking test system based on Stewart platform. Based on finite element analysis and dynamic simulation, the safety characteristics of the system are verified and the center error of the docking surface is calculated. The results show that the center error of the test system docking is 0.75mm when the ship roll amplitude is 6.25° and 2.5°. And the effectiveness of this error analysis method is verified by comparing the simulation and test results of the test system in gravity environment.
摇摆是制约舰船薄壁件精确对接的主要因素。针对船舶振动作用下薄壁圆柱件装配误差分析问题,提出了一种基于有限元分析和动力学分析的对接面中心误差仿真分析方法。该方法综合考虑了机电系统的控制性能、结构的动态变形和传动间隙。在摇摆环境下,建立了基于Stewart平台的汽缸零件对接试验系统仿真模型。在有限元分析和动态仿真的基础上,验证了系统的安全特性,计算了对接面中心误差。结果表明:当船舶横摇幅为6.25°和2.5°时,试验系统对接中心误差为0.75mm;并通过重力环境下试验系统的仿真与试验结果对比,验证了该误差分析方法的有效性。
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引用次数: 0
Path Planning for Service Robots 服务机器人路径规划
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021507
Ruining Li
Path Planning is an essential aspect of the navigation of mobile service robots. The problem of path planning includes low time efficiency, large memory cost, local optimum, and slow speed in finding the global optimum. This paper reviews three main path planning algorithms and their extensions for the service robots. The first one is Ant Colony Optimization (ACO). The second algorithm is Particle Swarm Optimization (PSO) and some hybrid PSO-related algorithms. The third one is a conventional algorithm named Rapidly Exploring Random Tree (RRT).
路径规划是移动服务机器人导航的一个重要方面。路径规划存在时间效率低、内存占用大、局部最优、全局最优查找速度慢等问题。本文综述了服务机器人的三种主要路径规划算法及其扩展。首先是蚁群优化算法(Ant Colony Optimization, ACO)。第二种算法是粒子群算法(PSO)及其相关的混合算法。第三种是传统的快速探索随机树(RRT)算法。
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引用次数: 0
Design of Automatic Loading Mechanism Based on PLC Control 基于PLC控制的自动上料机构设计
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021444
Zhuolin Wang
This design comprehensively uses the relevant knowledge of machinery, hydraulic pressure, electromechanical transmission, and PLC to design a set of small automatic loading mechanism that can complete automatic stick insertion. In order to reduce the labor intensity of workers and improve the workload of unit man hour, this paper designs the automatic feeding, transportation, loading and control device of the ice cream stick during the production of ice cream. The design mainly includes the mechanical transmission system, hydraulic system and PLC control system when inserting the ice cream stick into the mold. Finally, the following processes are automatically realized: the mold is sent to the designated position with a conveyor belt; The hydraulic device at the lower end lifts it to align with the distributor; Then use the conveyor belt to arrange the ice cream sticks orderly and transport them upward. The ice cream sticks are transported to another conveyor belt through the transition gear. When enough ice cream sticks are transported, stop feeding; The hydraulic devices on both sides of the conveyor belt push the blanking plate to push the ice cream stick into the distributor and then retract it. The ice cream stick is inserted into the lower mold orderly through the distributor; The mould with the rod loaded falls back to the conveyor belt through the hydraulic device and is transported away. The design content of this paper includes CAD design drawing, part drawing, hydraulic schematic diagram, PLC control sequence function diagram and the selection of main components. The designed equipment has the advantages of simple structure, convenient maintenance, low cost, high controllability and labor saving.
本设计综合运用机械、液压、机电传动、PLC等相关知识,设计了一套能够完成自动插棒的小型自动上料机构。为了降低工人的劳动强度,提高单位工时的工作量,本文设计了冰淇淋生产过程中冰淇淋棒的自动上料、输送、装载和控制装置。本设计主要包括冰淇淋棒插入模具时的机械传动系统、液压系统和PLC控制系统。最后,自动实现以下工序:用传送带将模具送至指定位置;下端液压装置将其抬起,使其与分配器对齐;然后用传送带将冰淇淋棒整齐排列,向上输送。冰淇淋棒通过过渡齿轮输送到另一条传送带上。当运送的雪糕棒足够时,停止喂食;输送带两侧的液压装置推动下料板,将冰淇淋棒推入分配器,然后收回。冰淇淋棒通过分配器有序插入下模;带杆的模具通过液压装置落回传送带,被运走。本文的设计内容包括CAD设计图、零件图、液压原理图、PLC控制程序功能图和主要部件的选择。所设计的设备具有结构简单、维修方便、成本低、可控性高、省力等优点。
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引用次数: 0
Half-physical Simulation System Design of Chamfering Device Based on PLC 基于PLC的倒角装置半物理仿真系统设计
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021471
Yunhao Fu, Qingzhu Zhang, Hongtao Han, Qiang Zhang, Liang Li, Bing Li
Aiming at the test problems caused by the limited cycle of existing automatic processing equipment, this paper takes the chamfering device as the research object, and develops a small PLC half-physical simulation system by using virtual reality technology. The system includes PLC, virtual communication module and virtual 3D model. Mitsubishi FX5U series PLC for the host computer, use programming to control the 3D model. Virtual communication module transmits data by serial communication. The virtual 3D model acts as the lower machine and drives the motion of the model through the received data. The simulation results show that the system can verify the correctness of PLC program and provide a new test method for automatic equipment production line.
针对现有自动化加工设备有限周期带来的测试问题,本文以倒角装置为研究对象,利用虚拟现实技术开发了小型PLC半物理仿真系统。该系统包括PLC、虚拟通信模块和虚拟三维模型。以三菱FX5U系列PLC为上位机,利用编程控制三维模型。虚拟通信模块通过串行通信传输数据。虚拟三维模型作为下位机,通过接收到的数据驱动模型运动。仿真结果表明,该系统能够验证PLC程序的正确性,为自动化设备生产线提供了一种新的测试方法。
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引用次数: 0
Construction and application of digital twin model for tool wear monitoring and life prediction 刀具磨损监测与寿命预测数字孪生模型的构建与应用
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021461
Chao Liang, Wen-An Mo, Jing Tang, Ji Wang, Chuangmian Huang, Gao-Yi Luo
Aiming at the problems existing in accurate monitoring of tool wear status and accurate prediction of tool life, there is no reliable basis for decision-making on tool selection, replacement and grinding, which seriously affects the optimization and control of precise tool utilization and the dynamic regulation of production systems. Aiming at this problem, based on the concept of digital twin, a digital twin model for tool wear monitoring and life prediction is proposed. The model consists of three parts: digital model, analysis data model and evaluation model. Complete the collection and fusion of heterogeneous data and the evaluation and prediction for different targets. According to the different wear stages of the tool, three monitoring and prediction modes are proposed. Make full use of the value of multi-dimensional data information. Monitoring and forecasting services are provided for different demand levels, taking the cost, efficiency and accuracy of forecasting. into account, Supports the precise use of tools.
针对刀具磨损状态的准确监测和刀具寿命的准确预测存在的问题,对刀具的选择、更换和磨削决策缺乏可靠依据,严重影响了刀具精密利用的优化控制和生产系统的动态调节。针对这一问题,基于数字孪生的概念,提出了一种刀具磨损监测与寿命预测的数字孪生模型。该模型由数字模型、分析数据模型和评价模型三部分组成。完成异构数据的采集与融合,以及对不同目标的评估与预测。根据刀具的不同磨损阶段,提出了三种监测预测模式。充分利用多维数据信息的价值。针对不同的需求水平提供监测和预测服务,兼顾预测的成本、效率和准确性。,支持工具的精确使用。
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引用次数: 0
Morphological Construction of Transmission Error of Precision Reducer Based on BP Neural Network 基于BP神经网络的精密减速器传动误差形态构建
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021542
Zhiyong Yu, Zhaoyao Shi, H. Yue, Lintao Zhang
Transmission error is a key indicator to characterize the performance of precision reducer. The test result of transmission error will be influenced by input speed and load torque. In this study, a morphological construction method of transmission error of precision reducer based on BP neural network was proposed to obtain the morphology of transmission error under different input speeds and load torques. Then the transmission accuracy of precision reducer could be accurately evaluated. With RV-40E reducer as an example, the morphological structure of its transmission error was obtained. The experimental results demonstrate that the model established by the proposed method can reflect the morphology of transmission error.
传动误差是衡量精密减速器性能的关键指标。传动误差的测试结果会受到输入转速和负载转矩的影响。提出了一种基于BP神经网络的精密减速器传动误差形态构建方法,得到了不同输入转速和负载转矩下的传动误差形态。从而可以准确地评价精密减速器的传动精度。以RV-40E减速器为例,得到了其传动误差的形态结构。实验结果表明,该方法建立的模型能较好地反映传输误差的形态。
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引用次数: 0
Multi-channel LSTM-CNN power load multi-step prediction based on feature fusion 基于特征融合的多通道LSTM-CNN电力负荷多步预测
Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021531
Fei Ying Li, Jin-feng Xiao
In order to fully consider the influence of uncertain factors such as complex and changeable weather conditions and social events, a multi-channel LSTM-CNN (Long Short Term Memory-Convolutional Neural Network) power load multi-step forecasting model based on feature fusion is proposed for the first time, by modeling the sequential data with different time scales and using the neural network model composed of multiple LSTM networks in parallel, the multi-scale time feature representation is learned, the output time step of each LSTM is convoluted by CNN, and its output characteristics are extracted.
为了充分考虑复杂多变的天气条件和社会事件等不确定因素的影响,首次提出了一种基于特征融合的多通道LSTM- cnn(长短期记忆-卷积神经网络)电力负荷多步预测模型,通过对不同时间尺度的序列数据进行建模,利用多个LSTM网络并行组成的神经网络模型。学习多尺度时间特征表示,对每个LSTM的输出时间步长进行CNN卷积,提取其输出特征。
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引用次数: 1
期刊
2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)
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