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4th International Conference on Mechanical Design and Simulation, MDS 2024

作者： Huang, Dehai Duan, Jihang Yang, Jianzhong Chen, Jihong Xu, Guangda National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9789819778867

The feed system is an important part of the CNC machine tool, and its performance directly affects the machining quality. Establishing an accurate model is the key to achieving feed system servo performance optimization and error compensation. In this paper, a fusion modeling method is proposed for the problems of low accuracy and difficulty in identifying stiffness and damping in the traditional lumped mass modeling method. The proposed method first establishes a rigid model without stiffness and damping, then uses a data-driven model to model the unmodeled dynamics, and finally connects the rigid model and the data-driven model in series. The method simplifies the lumped mass model, avoids the problem that the stiffness and damping are difficult to identify, and the fusion of the data-driven model significantly improves the prediction accuracy of the model. The experimental results show that the fused model has higher prediction accuracy for the frequency response characteristics and displacement of the feed system. © The Author(s) 2025.

关键词： Ball screws

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Collision-Free Algorithm for Industrial Robots Based GJK and OBB Theories

Collision-Free Algorithm for Industrial Robots Based GJK and...

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International Conference on SmartRail, Traffic, and Transportation engineering, ICSTTE 2023

作者： Aalhasan, Ali Joodi Bao, Song National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819736812

This paper proposes a better way for industrial robots to avoid collisions while manipulating objects. The method uses the Oriented Bounding Boxes (OBB) theory. OBB is effective because it can work with objects turned in any direction, which makes it very exact. To detect if two OBBs are colliding, the algorithm adopted double-check collision detection to achieve a collision-free workspace. First, Threshold distance collision detection by calculating the nearest line between an object’s corners. Then by the Gilbert-Johnson-Keerthi (GJK) algorithm. The algorithm uses Z-Y-Z Euler's angles to handle orientation between robot grippers and objects during paths. This updated algorithm will make industrial robots safer and more efficient when handling objects. We have adopted Coppellia Simulation software to verify the accuracy of the algorithm with different scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Industrial robots

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Development of a PLCopen-Based controller for Flexible Fatigue Test Applications 30

Development of a PLCopen-Based Controller for Flexible Fatig...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lyu, Xiaofan Wang, Pingjiang Gao, Chaoyang Zhao, Donglin Wei, Peng Luo, Wenbin Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Quanzhou Hust Research Institute of Intelligent Manufacturing QuanZhou China Huazhong University of Science and Technology National Numerical Control System Engineering Research Center Wuhan China

ISBN: (纸本)9798350391916

Aiming at the flexibility and reconfigurability needs for fatigue test applications, the demand for a PLCopen-based development framework arises. In this study, we utilize the IEC 61131-3 programmable language and PLCopen specifications to design the controller for electro-hydraulic servo loading system. Firstly, PLCopen group function block diagrams are proposed in accordance with experiments. Multiple groups can manage different experiments simultaneously. Then, PLCopen channel function block diagrams are designed to manage district channels in a group. To correct tracking errors, each channel incorporates a peak-valley phase compensator. Peak-valley phase compensator could potentially be used to adjust for multi-frequency sinusoidal spectrum. Finally, simulation and experiment results verify that tracking error could be kept within a defined neighbourhood region. © 2024 IEEE.

关键词： Fatigue testing

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Face Detection on Thermal Infrared Images Combined with Visible Images 16th

Face Detection on Thermal Infrared Images Combined with Visi...

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16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021

作者： Chen, Yujia Wang, Liqing Xu, Guangda School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China Infrared Division Wuhan Huazhong Numerical Control Co. Ltd. Wuhan China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789811912528

Due to COVID-19, intelligent thermal imagers are widely used all over the world. Since intelligent thermal imagers usually require real-time temperature measurement, it is significant to find a method to quickly and accurately detect human faces in thermal infrared images. This paper mainly proposes two different methods. One is to use image processing methods and face detected from visible images to determine the position of the face in the infrared image, while the other is to use target detection algorithms on infrared images, including YOLOv3 and Faster R-CNN. This paper uses the two methods on a self-collected dataset containing 944 pairs of visible and infrared images and observes the robustness of methods by adding random noise to images. Experiments show that the first one has much lower latency and the latter one has higher accuracy in both cases. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Development of a PLCopen-Based controller for Flexible Fatigue Test Applications

Development of a PLCopen-Based Controller for Flexible Fatig...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Xiaofan Lyu Pingjiang Wang Chaoyang Gao Donglin Zhao Peng Wei Wenbin Luo School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan China Quanzhou HUST Research Institute of Intelligent Manufacturing QuanZhou China

ISBN: (数字)9798350391916

ISBN: (纸本)9798350391923

关键词： Mechatronics Machine vision Loading Fatigue IEC Standards Servomotors

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Screw thermal characteristics analysis and error prediction considering the two-dimensional heat transfer structure

Research Square

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Research Square 2021年

作者： Chen, Yu Chen, Jihong Xu, Guangda National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan430074 China

Thermal error is a common problem in machine tool processing. It is usually proposed to take the screw as one-dimensional rod heat transfer system to solve the thermal error of screw by establishing thermal characteristic equation. This method regards the temperature on the nut as the temperature of the screw contact surface without considering the heat transfer distance between screw and the mounting point on the nut. To solve this problem, this paper takes the screw-nut feed system as a two-dimensional heat transfer structure considering both screw and nut. In addition, to solve the low convergence speed and easy fall into local optimum problem in optimal parameter identification. The improved particle swarm optimization algorithm (IPSOA) is proposed to identify the boundary parameters of thermal characteristics equations. Finally, the temperature and thermal error of the screw-nut feed system is calculated by the identified results. Experiments under different working condition show that the maximum prediction residual error of the two-dimensional method (TDM) is less than 7.2 um and the simulating prediction accuracy can reach 86.2%. Besides, compared with one-dimensional model (ODM), TDM has a higher predict accuracy which verifies the effectiveness of the proposed method. © 2021, CC BY.

关键词： Particle swarm optimization (PSO)

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Toward Intelligent Machine Tool

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engineering 2019年第4期5卷 679-690页

作者： Jihong Chen Pengcheng Hu Huicheng Zhou Jianzhong Yang Jiejun Xie Yakun Jiang Zhiqiang Gao Chenglei Zhang National Numerical Control System Engineering Research Center Huazhong University of Science and TechnologyWuhan 430074China

With the development of modern information technology-and particularly of the new generation of artificial intelligence(AI)technology-new opportunities are available for the development of the intelligent machine tool(IMT).Based on the three classical paradigms of intelligent manufacturing as defined by the Chinese Academy of engineering,the concept,characteristics,and systemic structure of the IMT are presented in this *** stages of machine tool evolution-from the manually operated machine tool(MOMT)to the IMT-are discussed,including the numerical control machine tool(NCMT),the smart machine tool(SMT),and the ***,the four intelligent control principles of the IMT-namely,autonomous sensing and connection,autonomous learning and modeling,autonomous optimization and decision-making,and autonomous control and execution-are presented in *** paper then points out that the essential characteristic of the IMT is to acquire and accumulate knowledge through learning,and presents original key enabling technologies,including the instruction-domain-based analytical approach,theoretical and big-data-based hybrid modeling technology,and the double-code control *** on this research,an intelligent numerical control(INC)system and industrial prototypes of IMTs are *** intelligent practices are conducted,demonstrating that the integration of the new generation of AI technology with advanced manufacturing technology is a feasible and convenient way to advance machine tools toward the IMT.

关键词： Intelligent manufacturing Intelligent machine tool Intelligent numerical controller New-generation artificial intelligence

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Design of a high speed drawing frame monitoring system based on IoT using MQTT protocol

Design of a high speed drawing frame monitoring system based...

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International Conference on Mechanical, Electric and Industrial engineering, MEIE 2018

作者： Cui, Zishang Wu, Jing Shen, Chen Chen, Bing National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan430074 China

Online monitoring for sliver quality is an important part of the drawing process. This paper presents a high-speed drawing frame monitoring system based on Internet of Things (IoT) using Message Queuing Telemetry Transport (MQTT) protocol, which consists of drawing frame IoT terminal equipment, the cloud server and PC or mobile terminal equipments. Drawing frame IoT terminal equipment takes Cortex-A7 and Cortex-M4 of series of ***7 as its control cores. The A7 processor publishes IoT data as a communication gateway while the M4 processor collects sensor data and executes local on-line detection program. Two processors run Linux and FreeRTOS as operating system respectively, and the data exchange between them adopt rpmsg pattern. The communication gateway using MQTT publishes data of the IoT terminal to the cloud server for remoting monitoring and intelligent diagnosis, when the local on-line detection system aims at acquiring real-time status of the sliver on drawing frame. Users can check the real-time status of the drawing frame at the subscription end of IoT and on the computer or mobile phone end by subscribing message by theme. Experiments show that the system operates with reliability, and is good compatible with other devices because of the modular design. The adoption of this system can promote the digitization and the intelligentialize of the drawing frame. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Optimal interface surface determination for multi-axis freeform surface machining with both roughing and finishing

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Chinese Journal of Aeronautics 2018年第2期31卷 370-384页

作者： Lufeng CHEN Pengcheng HU Ming LUO Kai TANG Hong Kong University of Science and Technology Hong Kong China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Contemporary Design and Integrated Manufacturing Technology Ministory of EducationNorthwestern Polytechnical University Xi'an 710072 China

In the current practice of multi-axis machining of freeform surfaces, the interface surface between the roughing and finishing process is simply an offset surface of the nominal surface. While there have already been attempts at minimizing the machining time by considering the kinematic capacities of the machine tool and/or the physical constraints such as the cutting force, they all target independently at either the finishing or the roughing process alone and are based on the simple premise of an offset interface surface. Conceivably, since the total machining time should count that of both roughing and finishing process and both of them crucially depend on the interface surface, it is natural to ask if, under the same kinematic capacities and the same physical constraints, there is a nontrivial interface surface whose corresponding total machining time will be the minimum among all the possible（infinite） choices of interface surfaces, and this is the motivation behind the work of this paper. Specifically, with respect to the specific type of iso-planar milling for both roughing and finishing, we present a practical algorithm for determining such an optimal interface surface for an arbitrary freeform surface. While the algorithm is proposed for iso-planar milling, it can be easily adapted to other types of milling strategy such as contour milling. Both computer simulation and physical cutting experiments of the proposed method have convincingly demonstrated its advantages over the traditional simple offset method.

关键词： Feed rate Finishing and roughing process Interface surface lso-planar tool path Physical constraints

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走向智能机床

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engineering 2019年第4期 186-210页

作者：陈吉红胡鹏程周会成杨建中谢杰君蒋亚坤高志强张成磊 National Numerical Control System Engineering Research Center Huazhong University of Science and Technology

随着现代信息技术特别是新一代人工智能技术的发展,智能机床技术迎来了新的发展机遇。本文在中国工程院定义的智能制造三个范式的基础上,系统地阐述了智能机床的概念、内涵、特征和体系架构。揭示了机床从手动机床演化到智能机床的三个... 详细信息

随着现代信息技术特别是新一代人工智能技术的发展,智能机床技术迎来了新的发展机遇。本文在中国工程院定义的智能制造三个范式的基础上,系统地阐述了智能机床的概念、内涵、特征和体系架构。揭示了机床从手动机床演化到智能机床的三个阶段(数控机床、互联网+机床以及智能机床),详细分析了智能机床的自主感知与连接、自主学习与建模、自主优化与决策和自主控制与执行这四项智能化控制的实现原理,提出了智能机床通过数据学习形成并积累知识的本质特征,独创发明了指令域分析方法、物理和大数据混合建模技术、i代码和双码联控等关键使能技术。基于以上研究,研制了智能数控系统和智能机床工业样机。通过基于Cyber NC和双码联控的加工质量优化、基于大数据建模的工艺参数优化和基于深度学习的机床进给系统建模及误差补偿这三个智能化技术应用案例的实践,验证了新一代人工智能技术与制造技术的深度融合,是机床实现从"互联网+机床"向"智能+机床"演化的便捷有效途径。

关键词：智能制造智能机床智能数控系统新一代人工智能

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