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Artículos de revistas sobre el tema "Intelligent and Flexible Manufacturing"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 25 de julio de 2025

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1

CHANDRA, J., and J. TALAVAGE. "Intelligent dispatching for flexible manufacturing." International Journal of Production Research 29, no. 11 (1991): 2259–78. http://dx.doi.org/10.1080/00207549108948082.

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2

Varvatsoulakis, M. N., G. N. Saridis, and P. N. Paraskevopulos. "Intelligent organization for flexible manufacturing." IEEE Transactions on Robotics and Automation 16, no. 2 (2000): 180–89. http://dx.doi.org/10.1109/70.843174.

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3

Ju, Canze. "3D Printing Distributed Mold Intelligent Manufacturing Model Analysis." Highlights in Science, Engineering and Technology 76 (December 31, 2023): 65–70. http://dx.doi.org/10.54097/h18q1h39.

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In recent years, with the rapid development of technologies such as 3D printing, distributed manufacturing, and intelligent management, the manufacturing industry is undergoing a revolutionary transformation. The emerging 3D printing distributed mold intelligent manufacturing mode combines these cutting-edge technologies, aiming to achieve personalized and flexible production. This is leading the manufacturing industry towards intelligence and customization. This paper discusses the core concepts and key technical elements of 3D printing distributed mold intelligent manufacturing mode. This mo

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4

ALI, AHAD. "FUZZY LOGIC BASED UNCERTAINTY REPRESENTATION AND SIMULATION IN A FLEXIBLE ASSEMBLY SYSTEM." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (2012): 1250013. http://dx.doi.org/10.1142/s1793962312500134.

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This paper provides intelligent simulation approach using manufacturing uncertainty in the form of simulation intelligence to improve the performances of manufacturing production system. It shows how simulation can be used to evaluate alternative designs in an uncertain manufacturing environment. Fuzzy rule-based manufacturing uncertainties are addressed in this study. A combination of product mix and production volume is analyzed using intelligent simulation model for an optimal production design. The intelligent simulation approach would improve the modeling accuracy in terms of more realist

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5

Kostal, P., A. Mudrikova, and D. Michal. "Possibilities of intelligent flexible manufacturing systems." IOP Conference Series: Materials Science and Engineering 659 (October 31, 2019): 012035. http://dx.doi.org/10.1088/1757-899x/659/1/012035.

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6

Ahmad, M. Munir, and William G. Sullivan. "Flexible automation and intelligent manufacturing 2001." Robotics and Computer-Integrated Manufacturing 18, no. 3-4 (2002): 169–70. http://dx.doi.org/10.1016/s0736-5845(02)00026-1.

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7

Woo, K. B., K. S. Seo, I. S. Ahn, C. H. Lee, and S. K. Shin. "Intelligent Controller for Flexible Manufacturing System." IFAC Proceedings Volumes 25, no. 7 (1992): 79–84. http://dx.doi.org/10.1016/s1474-6670(17)52343-5.

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8

Wang, Xi. "Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology." Journal of Physics: Conference Series 2074, no. 1 (2021): 012043. http://dx.doi.org/10.1088/1742-6596/2074/1/012043.

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Abstract With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufactur

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9

Weller, R., and J. W. Schulte. "Flexible Optimisation Tools for Intelligent Manufacturing Systems." IFAC Proceedings Volumes 27, no. 4 (1994): 477–82. http://dx.doi.org/10.1016/s1474-6670(17)46069-1.

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10

Wang, Yi-Chi. "Flexible Automation and Intelligent Manufacturing (FAIM 2024)." International Journal of Advanced Manufacturing Technology 138, no. 1 (2025): 1. https://doi.org/10.1007/s00170-025-15550-7.

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11

Mekid, S., P. Pruschek, and J. Hernandez. "Beyond intelligent manufacturing: A new generation of flexible intelligent NC machines." Mechanism and Machine Theory 44, no. 2 (2009): 466–76. http://dx.doi.org/10.1016/j.mechmachtheory.2008.03.006.

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12

Cao, Ting Ting, Xian Rui Wang, Xu Wei Sheng Ji, Hui Wang, and Yun Wang. "TCM-ISP: A Comprehensive Intelligent Service Platform for Industry Chain of Traditional Chinese Medicines." Journal of Healthcare Engineering 2021 (May 4, 2021): 1–14. http://dx.doi.org/10.1155/2021/9938625.

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In order to promote information interaction, intelligent regulation, and scale management in Chinese medicines industry, in this paper, a Chinese medicines intelligent service platform with characteristics of flexibility, versatility, and individuation was designed under the guidance of theoretical model of intelligent manufacturing of Chinese medicines (TMIM). TCM-ISP is a comprehensive intelligent service platform that can be flexibly applied to all links of Chinese medicines industry chain, which realizes data integration and real-time transmission as well as intelligent-flexible scheduling

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13

Borenstein, D., and E. Levner. "Intelligent Scheduling of Robots and Flexible Manufacturing Systems." Journal of the Operational Research Society 50, no. 3 (1999): 285. http://dx.doi.org/10.2307/3010695.

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14

Mikhailov, L. K., R. Schockenhoff, F. Pautzke, and H. A. Nour Eldin. "Towards Building an Intelligent Flexible Manufacturing Control System." IFAC Proceedings Volumes 24, no. 5 (1991): 91–96. http://dx.doi.org/10.1016/s1474-6670(17)51229-x.

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15

Long, J., B. Descotes-Genon, and P. Ladet. "Hierarchical and Intelligent Control of Flexible Manufacturing Systems." IFAC Proceedings Volumes 25, no. 7 (1992): 163–68. http://dx.doi.org/10.1016/s1474-6670(17)52357-5.

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16

Nagurka, Mark L., and Paul J. Englert. "Toward an intelligent machine tool for flexible manufacturing." Robotics and Computer-Integrated Manufacturing 6, no. 3 (1989): 229–36. http://dx.doi.org/10.1016/0736-5845(89)90043-4.

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17

Jahn, G. "Model Based Intelligent Control in Flexible Manufacturing Systems." IFAC Proceedings Volumes 27, no. 4 (1994): 227–31. http://dx.doi.org/10.1016/s1474-6670(17)46028-9.

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18

Суханова, Наталия, and Nataliya Sukhanova. "Development of intelligent automated control systems in mechanical engineering." Science intensive technologies in mechanical engineering 2018, no. 11 (2018): 42–48. http://dx.doi.org/10.30987/article_5bd8aa8a8683e5.76305416.

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The new automated control system architecture is offered which combines advantages of well-known engineering systems: super-computer productivity, wide functional potentialities of flexible manufacturing systems and artificial intelligence. The economic result of intelligent ACS introduction is to be produce quality increase, functionality enhancement, flexible programmable ties between devices, reliability increase of technical means and the elimination of outages at failures.

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19

Weston, R. H., C. M. Sumpter, and J. D. Gascoigne. "Distributed manufacturing systems." Robotica 4, no. 1 (1986): 15–26. http://dx.doi.org/10.1017/s0263574700002435.

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SUMMARYIn the context of computer-integrated manufacture (CIM), the paper describes the need for flexible “intelligent” machinery and the need for integrated and distributed software. Methodologies in obtaining appropriate solutions are discussed and related to two major SERC sponsored research programmes at Loughborough University, which concern (i) the design of a family of mechanical and control system modules to allow robots to be configured with user defined kinematic and dynamic properties, and (ii) the design of distributed hardware and software structures, based on internationally acce

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20

Purnomo, Muhammad Ridwan Andi, Imam Djati Widodo, and Zainudin Zukhri. "Intelligent optimisation for multi-objectives flexible manufacturing cells formation." Jurnal Sistem dan Manajemen Industri 8, no. 1 (2024): 11–21. http://dx.doi.org/10.30656/jsmi.v8i1.7974.

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The primary objective of conventional manufacturing cell formation typically uses grouping efficiency and efficacy measurement to reduce voids and exceptional parts. This objective frequently leads to extreme solutions, such as the persistently significant workload disparity among the manufacturing cells. It will have a detrimental psychological impact on operators who work in each formed manufacturing cell. The complexity of the problem increases when there is a requirement to finish all parts before the midday break, at which point the formed manufacturing cells can proceed with the followi

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21

Du, F., M. Zhao, and P. Zhang. "The study on flexible manufacturing system in building decoration stone processing." IOP Conference Series: Materials Science and Engineering 1242, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1757-899x/1242/1/012015.

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Abstract Stone materials are widely used in interior and exterior decoration design and public facilities construction. They are one of the essential materials in the construction and decoration field. With the increase in demand of the personality and quality of the decoration materials, intelligent manufacturing of stone processing must be required. With the development of manufacturing technology, especially the rapid development of automatic control technology, CNC machining technology and industrial robot technology, flexible manufacturing technology (FMI) have been used. In the paper an

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22

Huang, Chung Lin, and Chung Chi Huang. "A Study of Cloud Computing Based Intelligent Scheduling System for Manufacturing Quality." Applied Mechanics and Materials 284-287 (January 2013): 3285–89. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3285.

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In the paper, a cloud computing based intelligent scheduling system for manufacturing quality is proposed. Most of scheduling system is only considered producing time but manufacturing quality. It is very important to focus on manufacturing quality for the industry upgrade. The factors of manufacturing quality are product, equipment, material and human. It makes higher cost for scheduling the flexible manufacturing system. So we develop the cloud computing-based intelligent scheduling system by using artificial neural network and optimized layout method for manufacturing quality in the researc

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23

Zhai, Jiaying. "International Experience and Lessons Learned from Financial Support for Advanced Manufacturing Industries." Modern Economics & Management Forum 5, no. 5 (2024): 987. http://dx.doi.org/10.32629/memf.v5i5.2910.

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Advanced manufacturing industry is the core of modern industrial system, which is highly informatized, intelligent, environmentally friendly and globalized, and is the backbone of promoting high-quality economic development. The importance of advanced manufacturing lies not only in the automation and digital production technology, but also in the intelligent and personalized adaptation of the production process through the integration and application of Internet of Things, big data analysis, artificial intelligence and other technologies. These characteristics of the advanced manufacturing ind

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24

Li, Jing, Ting Xu, and Nan Yan Shen. "Design and Implementation of Voice Control System in Flexible Manufacturing Cell." Applied Mechanics and Materials 415 (September 2013): 9–13. http://dx.doi.org/10.4028/www.scientific.net/amm.415.9.

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On the voice development platform of Microsoft Speech SDK, speech recognition and speech synthesis modules based on command control mode is built in this paper. Ethernet-based remote voice control system of intelligent flexible manufacturing cell is developed for machine tools and industrial robots. This paper designs an intelligent voice control system based on LabVIEW development environment, which realizes the human-machine voice interaction of flexible manufacturing cell and remote voice control. Experimental studies have shown that intelligent voice control system has high speech recognit

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25

Kopacek, P., and B. Kopacek. "Intelligent, flexible disassembly." International Journal of Advanced Manufacturing Technology 30, no. 5-6 (2005): 554–60. http://dx.doi.org/10.1007/s00170-005-0042-9.

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26

Ruzarovsky, Roman, Nina Danišová, and Karol Velíšek. "Application of Assembly System Partial Units for the Development of Intelligent Assembly Cell." Applied Mechanics and Materials 309 (February 2013): 3–11. http://dx.doi.org/10.4028/www.scientific.net/amm.309.3.

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Development of intelligent assembly cell conception includes new solution kind of how to create structures of automated and flexible assembly system. Intelligent behavior of the system as the control system will repose on monitoring of important parameters of the system in the real time. Interaction information will be taken from flexible reaction data. This kind of flexible conception realization of intelligent assembly systems brings many advantages such as, cell will brings flexible reactions of the system to the manufacturing changes, build up area saving, lover building costs, higher usin

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27

Huseynov, Agil Hamid, and Mehriban Rashid Salimova. "Agent-based approach to designing flexible manufacturing systems." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 4 (2022): 35–41. http://dx.doi.org/10.24143/2073-5529-2022-4-35-41.

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The article considers the process of designing modules of a flexible production site using multi-agent technology. For a comprehensive organization of the design, there has been proposed an algorithm of intelligent automated design of the complex technical systems, flexible manufacture systems (FMS) being used as an example. It has been stated that the research at the stages of the conceptual design of the FMS is carried out by collecting prototype variants with using expert knowledge and interaction of agents-designers according to the method of self-realizing computer aided design. Building

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28

Jung, Hosang, Bongju Jeong, and Dong-Won Kim. "Foreword: Special Issue on Flexible Automation and Intelligent Manufacturing." Industrial Engineering & Management Systems 17, no. 2 (2018): 165. http://dx.doi.org/10.7232/iems.2018.17.2.165.

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29

Hammadi, S., and C. Tahon. "Special issue on intelligent techniques in flexible manufacturing systems." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 33, no. 2 (2003): 157–58. http://dx.doi.org/10.1109/tsmcc.2003.813336.

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30

Vosniakos, George-C., and Marcello Pellicciari. "Flexible automation and intelligent manufacturing highlights: special issue editorial." International Journal of Computer Integrated Manufacturing 37, no. 9 (2024): 1041–42. http://dx.doi.org/10.1080/0951192x.2024.2388459.

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31

Lim, Roland, Lim Beng Siong, and Ho Nai Choon. "Development and implementation of an intelligent flexible manufacturing system." Journal of Mechanical Working Technology 20 (September 1989): 389–402. http://dx.doi.org/10.1016/0378-3804(89)90047-8.

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32

O'Grady, P. J., H. Bao, and K. H. Lee. "Issues in intelligent cell control for flexible manufacturing systems." Computers in Industry 9, no. 1 (1987): 25–36. http://dx.doi.org/10.1016/0166-3615(87)90094-7.

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33

Ferrolho, Antnio, and Manuel Crisostomo. "Intelligent Control and Integration Software for Flexible Manufacturing Cells." IEEE Transactions on Industrial Informatics 3, no. 1 (2007): 3–11. http://dx.doi.org/10.1109/tii.2006.890529.

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34

Benjaafar, Saifallah. "Intelligent simulation for flexible manufacturing systems: An integrated approach." Computers & Industrial Engineering 22, no. 3 (1992): 297–311. http://dx.doi.org/10.1016/0360-8352(92)90007-7.

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35

Xia, Meili, and Qiongfeng Shi. "Topic Editorial on Flexible Electronics." Micromachines 15, no. 11 (2024): 1350. http://dx.doi.org/10.3390/mi15111350.

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Fields such as the Internet of Things (IoT), smart healthcare, and intelligent manufacturing are at the forefront of technological advancement, involving the extensive deployment of numerous sophisticated electronic systems and devices [...]

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36

Csokmai, Lehel, Ovidiu Moldovan, Ioan Constantin Tarca, and Radu Tarca. "A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems." Applied Mechanics and Materials 404 (September 2013): 631–34. http://dx.doi.org/10.4028/www.scientific.net/amm.404.631.

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Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

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37

Li, Jing, Jing Feng Shao, Nan Yan Shen, and Ting Xu. "Research on Remote Monitoring Technology for Intelligent Flexible Manufacturing Cell." Applied Mechanics and Materials 333-335 (July 2013): 1504–8. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1504.

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In recent years, the rapid development of industrial computer technology has provided the foundation for manufacturing automation and informatization. Intelligent Flexible Manufacturing Cell is being integrated with more complicated additional functions to realize the cooperation among CNC machines or between CNC machine and robot. How to detect the systems status rapidly and timely becomes one of the most concerned problems. This paper proposes a remote monitoring system for Intelligent Flexible Manufacturing Cell, designs the remote monitoring platform, determines the communication systems n

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38

Kim, Jinyoub, Dongjoon Seo, Jisang Moon, Juhee Kim, Hayul Kim, and Jongpil Jeong. "Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing." Applied Sciences 12, no. 15 (2022): 7645. http://dx.doi.org/10.3390/app12157645.

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The next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via its digital network and intelligent methods that reflect the characteristics of its printed circuit board (PCB) manufacturing design and on-site implementation. Intelligent manufacturing systems are complex systems that are composed of humans, cyber systems, and physical systems and aim to achieve specific manufacturing goals at an optimized l

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39

Kubota, Naoyuki, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, and Susumu Shibata. "Path Planning and Control for a Flexible Transfer System." Journal of Robotics and Mechatronics 12, no. 2 (2000): 103–9. http://dx.doi.org/10.20965/jrm.2000.p0103.

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We studied intelligent control of self-organizing manufacturing system (SOMS) composed of modules that self-organize based on time-series information from other modules and environment. Modules create output through interaction with other modules. We discuss intelligent control and path planning in a manufacturing line of conveyer units and machining centers. Genetic algorithm are applied to conveyor pallet path planning in global decision making and learning automaton is applied to local conveyer decision making. We use simplified fuzzy inference to control pallets providing interval, verifyi

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40

Zhang, Ya. "Intelligent Control of Flexible Joint Manipulator Based on Dynamic Pattern Recognition." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (2019): 2050021. http://dx.doi.org/10.1142/s0218001420500214.

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With the rapid development of intelligent manufacturing and Internet technology, the industrial system has entered a new stage of development. As an indispensable carrier for intelligent manufacturing and industrial development, robots are expanding their applications. Among them, the flexible mechanical arm has the advantages of light weight, low energy consumption and low inertia compared with the bulky rigid mechanical arm, and has been increasingly valued. The flexible manipulator is a very complex dynamic system whose dynamic equations are characterized by nonlinearity, strong coupling an

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41

Yin, Chao, Pengcheng Deng, and Xiaobin Li. "Intelligent Manufacturing Mode for Sophisticated Equipment Assembly Workshop." Journal of Advanced Manufacturing Systems 17, no. 04 (2018): 533–49. http://dx.doi.org/10.1142/s0219686718500300.

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In order to meet with the requirements of equipment network integration, flexible customized assembly, lean logistics management and control of assembly process, an intelligent manufacturing model of sophisticated equipment assembly workshop is proposed in this paper. By modeling the requirement of intelligent manufacturing mode in sophisticated equipment assembly workshop, an intelligent manufacturing technology architecture system and its operation mode are built, which include six layers as user layer, core functional layer, system integration layer, intelligent perception layer, resource l

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42

Shafiq, Syed Imran, Edward Szczerbicki, and Cesar Sanin. "Decisional DNA based intelligent knowledge model for flexible manufacturing system." Journal of Intelligent & Fuzzy Systems 37, no. 6 (2019): 7155–67. http://dx.doi.org/10.3233/jifs-179328.

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43

Mizugaki, Yoshio. "Special Issue on Intelligent Manufacturing Systems." Journal of Robotics and Mechatronics 6, no. 6 (1994): 441. http://dx.doi.org/10.20965/jrm.1994.p0441.

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Production engineering and manufacturing industries face difficulties in developing a new paradigm to cope with the post mass-production era. Consumers' preferences change very quickly and vary over a wide range of taste. A product's life cycle becomes shorter than shorter. Thus, rapid prototyping techniques have been requested, and some new concepts on manufacturing have been presented including Flexible Manufacturing System, Factory (or Flexible) Automation, Computer Integrated Manufacturing System, and Concurrent Engineering. After the termination of the cold war, many regional economies co

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44

Wang, R. "Active Service Using Acquaintance Nodes in Intelligent Manufacturing Environments." Applied Mechanics and Materials 33 (October 2010): 241–45. http://dx.doi.org/10.4028/www.scientific.net/amm.33.241.

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An active service architecture called AAS (active service based on acquaintances) for intelligent manufacturing environments was proposed. The proposed architecture exploits stable relation and resourceful nodes, called acquaintances, which perform active services in the manufacturing network. The AAS architecture recognizes node heterogeneity in terms of mobility and capability. We analyze the characteristics of AAS architecture and operations for optimal system performance. By showing that AAS outperforms broadcast-based solutions in manufacturing environments, we validate that AAS is a flex

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45

Zheng, Zhaolun, and Yujun Lu. "Research on AGV trackless guidance technology based on the global vision." Science Progress 105, no. 3 (2022): 003685042211037. http://dx.doi.org/10.1177/00368504221103766.

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With the change of manufacturing mode and the progress of science and technology, the traditional manufacturing industry has gradually developed to intelligent manufacturing and flexible manufacturing. To achieve factory transformation, Automatic Guided Vehicle (AGV) is indispensable. In this paper, an AGV trackless guidance technology based on global vision is proposed. Firstly, the global vision camera is used to obtain the image of the AGV driving area, and then the obstacle information and position information of the AGV are obtained by image processing technology. Secondly, the A* algorit

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46

Szulewski, Piotr. "The effectively combined systems for intelligent production." Mechanik 91, no. 1 (2018): 6–11. http://dx.doi.org/10.17814/mechanik.2018.1.1.

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The paper illuminates the latest software and hardware concepts introduced to transform traditional manufacturing environments into new, flexible, smart, digital and Industrial 4.0 compliant factories. The technical innovations in the field of robots, programmable control, automation components which were presented at the EMO 2017.

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47

Nevlyudov, Igor, Oleksandr Tsymbal, and Artem Bronnikov. "INFORMATION MODELS FOR MANUFACTURING WORKSPACES IN ROBOTIC PROJECTS." Innovative Technologies and Scientific Solutions for Industries, no. 2 (20) (June 30, 2022): 97–105. http://dx.doi.org/10.30837/itssi.2022.20.097.

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The subject of research in the article are the workspace models for flexible integrated robotic systems. The goal of the work is in development of information models to represent workspaces for following application in the automated control systems of flexible integrated manufacturing. The article solves the next tasks: to analyze the representation of workspace to decide practical problems of robotic systems of different nature, to consider the development of informational models for representation on workspaces of intelligent control systems of integrated manufacturing, to consider the pract

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48

Iseringhausen, Tobias, and Ricardo Kleinert. "Gewichtstracking mit intelligenten Werkstückträgern/Weight tracking with intelligent workpiece carriers in battery cell production." wt Werkstattstechnik online 113, no. 06 (2023): 229–36. http://dx.doi.org/10.37544/1436-4980-2023-06-21.

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Eine flexible Assemblierung für zylindrische Batteriezellen im Labormaßstab mit Fokus auf die Digitalisierung wurde am Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA aufgebaut. Sowohl das Gesamtgewicht als auch die Gewichtsverteilung auf einzelne Komponenten sind wesentliche Qualitätsmerkmale der Zelle. Um über gravimetrische Schwankungen zuverlässig Rückschlüsse auf die Qualität zu ziehen, ist eine schnelle und präzise Erfassung des Gewichtes zwischen den Prozessen nötig. A flexible assembly unit for cylindrical battery cells focused on digitization was build up at laborat

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49

Yuan, Zhichao. "Application and Prospect of Flexible Sensors in Human-machine Interfaces." Applied and Computational Engineering 162, no. 1 (2025): 11–20. https://doi.org/10.54254/2755-2721/2025.gl23545.

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With the development of humanmachine interfaces toward universality and intelligence, flexible sensors, owing to their unique flexibility, high sensitivity, and biocompatibility, become a key technology driving innovation in humanmachine interaction. This paper systematically reviews the classifications, operating principles, key materials, and fabrication processes of flexible sensors, and explores their application potential in fields such as medical monitoring and intelligent interaction. Various types of sensors efficiently convert external physical signals through different mechanisms, an

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50

Wang, Zihang, Xiaodong Du, Changrui Wang, et al. "Design and Research of Intelligent Assembly and Welding Equipment for Three-Dimensional Circuit." Applied Sciences 13, no. 16 (2023): 9359. http://dx.doi.org/10.3390/app13169359.

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The processing of the three-dimensional circuit on the surface of conformal antennas is mainly performed via manual processing. At present, there is no automatic intelligent equipment for the processing of a similar small-sized circuit with variable curvature in China. Therefore, a high-precision, automated, full-process manufacturing method for three-dimensional circuits with flexible surfaces on conformal antennas of radar equipment has been proposed to improve processing quality and manufacturing efficiency. The processing relationship between solder paste spraying, resistor mounting, and l

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