2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)最新文献_第2页

High-speed automatic biochemical immune assembly line 高速全自动生化免疫流水线

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021551

W. Fan, M. Lin, M. Zhao, Q. Xie, B. Wang

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021438

Fei Li, Lihao Cheng, Hao Wu, Wenxuan Zhao

{"title":"Simulation and Experiment Research on Performance of High Power While-drilling Turbine Generator","authors":"Fei Li, Lihao Cheng, Hao Wu, Wenxuan Zhao","doi":"10.1109/WCMEIM56910.2022.10021438","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021438","url":null,"abstract":"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.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124573396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021397

Y. Hancheng, Jin Yanjun, Zhu Xihao, Jiang Seqi

{"title":"Research on key technologies of random stacking components automatically crawl","authors":"Y. Hancheng, Jin Yanjun, Zhu Xihao, Jiang Seqi","doi":"10.1109/WCMEIM56910.2022.10021397","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021397","url":null,"abstract":"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.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123236836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021530

Xu Kehui, Xue Kairui, Fan Shixun, Wen Zhijie, Fan Dapeng

引用次数: 0

Path Planning for Service Robots 服务机器人路径规划

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021507

Ruining Li

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021444

Zhuolin Wang

{"title":"Design of Automatic Loading Mechanism Based on PLC Control","authors":"Zhuolin Wang","doi":"10.1109/WCMEIM56910.2022.10021444","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021444","url":null,"abstract":"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.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125672415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021471

Yunhao Fu, Qingzhu Zhang, Hongtao Han, Qiang Zhang, Liang Li, Bing Li

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

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

{"title":"Construction and application of digital twin model for tool wear monitoring and life prediction","authors":"Chao Liang, Wen-An Mo, Jing Tang, Ji Wang, Chuangmian Huang, Gao-Yi Luo","doi":"10.1109/WCMEIM56910.2022.10021461","DOIUrl":"https://doi.org/10.1109/WCMEIM56910.2022.10021461","url":null,"abstract":"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.","PeriodicalId":202270,"journal":{"name":"2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021542

Zhiyong Yu, Zhaoyao Shi, H. Yue, Lintao Zhang

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

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI: 10.1109/WCMEIM56910.2022.10021531

Fei Ying Li, Jin-feng Xiao

引用次数: 1