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Journal articles on the topic 'Welding – Automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

YAMAMOTO, Hideyuki. "Change of Welding Automation." JOURNAL OF THE JAPAN WELDING SOCIETY 77, no. 6 (2008): 547–48. http://dx.doi.org/10.2207/jjws.77.547.

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2

Beck, Chris. "Welding People and Automation." Manufacturing Management 2021, no. 7 (2021): 22–23. http://dx.doi.org/10.12968/s2514-9768(22)90472-7.

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Sheet metal volume manufacture and fabrication specialists, Contracts Engineering, entered 2020 with an increasing demand for its services. In order to boost productivity and meet this rise in orders, it made its first foray into the world of welding automation

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3

Lendel, I. V., V. A. Lebedev, S. Yu Maksimov, and G. V. Zhuk. "Automation of welding processes with use of mechanical welding equipment." Paton Welding Journal 2017, no. 6 (2017): 86–91. http://dx.doi.org/10.15407/tpwj2017.06.16.

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4

Meng, Qing Guo, Ying Yin, and Xiao Jun Guo. "Aluminium Alloy Welding the Weld Stress Deformation and Control." Applied Mechanics and Materials 577 (July 2014): 86–89. http://dx.doi.org/10.4028/www.scientific.net/amm.577.86.

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Welding technology, as one of the process of manufacturing material in the permanent link, are already widely used in various kinds of aerospace ground launch equipment. Modern manufacturing industry is in rapid development phase, the welding automation is inevitable trend of production, which not only can greatly improve the efficiency of welding, but also what more important is to ensure the welding quality, thus to improve the operating environment. Modern welding is developing in the direction of mechanization, automation, intelligence, robot welding has become an important symbol of weldi

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5

Okubo, M. "Automation of steel bridge welding." Welding International 2, no. 10 (1988): 907–12. http://dx.doi.org/10.1080/09507118809447576.

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6

Rooks, Brian W. "Building welding expertise into automation." Industrial Robot: An International Journal 13, no. 1 (1986): 26–28. http://dx.doi.org/10.1108/eb004938.

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7

Aldalur, Eider, Alfredo Suárez, David Curiel, Fernando Veiga, and Pedro Villanueva. "Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints." Metals 13, no. 9 (2023): 1532. http://dx.doi.org/10.3390/met13091532.

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The automation of welding processes requires the use of automated systems and equipment, in many cases industrial robotic systems, to carry out welding processes that previously required human intervention. Automation in the industry offers numerous advantages, such as increased efficiency and productivity, cost reduction, improved product quality, increased flexibility and safety, and greater adaptability of companies to market changes. The field of welding automation is currently undergoing a period of profound change due to a combination of technological, regulatory, and economic factors wo

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8

Noruk, J., and J. P. Boillot. "Six Sigma Methodology Used To Improve Ship Welding." Journal of Ship Production 24, no. 02 (2008): 65–71. http://dx.doi.org/10.5957/jsp.2008.24.2.65.

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Nowhere in manufacturing is the old axiom of "Do the job right the first time" more true than in the welding operations in a shipyard. The welding process needs to be optimized to achieve high productivity while maintaining quality levels required by stringent welding standards. However, even with the most fine-tuned process, the welder or welding machine operator can be "done in" by upstream operations where the material is prepared for welding. This paper discusses how new welding automation equipment can be used before, during, and after the weld is made to reduce overall variability in the

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9

Patil, Rahul S. "Productivity Improvement using Automation in Conveyor Roller Welding." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 146–59. http://dx.doi.org/10.22214/ijraset.2021.34898.

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In the industrial workplace, automation enhances productivity and quality while reducing errors and waste, boosting safety, and providing greater flexibility to the manufacturing process. Industrial automation, in the end, results in enhanced safety, dependability, and profitability. Increased productivity is achieved by automating the welding machine for conveyer rollers. Many departments are included in this project like design, fabrication, testing, etc. The movement of welding torch with respect to workpiece can be automated with the help of pneumatics along with use PLC control system. Ac

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10

Lee, Hyung Won, Jiyoung Yu, Gwang-Gook Kim, et al. "Convolutional Neural Network Model for the Prediction of Back-Bead Occurrence in GMA Root Pass Welding of V-groove Butt Joint." Journal of Welding and Joining 39, no. 5 (2021): 463–70. http://dx.doi.org/10.5781/jwj.2021.39.5.1.

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Gas metal arc (GMA) welding is widely used in the machinery industry. The quality of a welded joint is affected by the penetration of root pass welding in the V-groove joint. Automation using GMA welding is continuously required, and root pass welding automation is required to automate the entire welding process. In particular, the development of a prediction model that can ensure full penetration back-bead is required for the automation of root pass welding. In this study, a convolutional neural network (CNN) model was applied to predict the occurrence of back-bead in V-groove butt joint GMA

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11

Hu, Min. "WELDOX960 Low Alloy High Strength Steel Welding Automation Manufacturability Research." Key Engineering Materials 748 (August 2017): 284–87. http://dx.doi.org/10.4028/www.scientific.net/kem.748.284.

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This article combined with the practical production conditions,introduced the welding process parameter’s selection and operation technology of one-side welding with back formation for welding robot of WELDOX960 steel.The welding practices indicate that:when adopts the welding robot CO2+Ar to perform the one-side welding with back formation operation to WELDOX960 low alloy high strength steel,the setting of welding process parameters has the great impact to the high strength steel welding performance.

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12

Jung, Dae Gune, Ji Young Park, Choong Mo Ryu, Jong Jin Hwang та Seung Jae Moon. "Numerical Study of Laser Welding of 270 μm Thick Silicon–Steel Sheets for Electrical Motors". Metals 14, № 1 (2023): 24. http://dx.doi.org/10.3390/met14010024.

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In this study, the shape of laser welding parts required to develop a welding automation system was analyzed to improve the production process of thin-plate silicon–steel. During laser welding, a welding defect occurs in the welding area, resulting in beads. This can be measured and analyzed through computational fluid dynamics. When welding thin plates with a laser, precise parameter settings are required to reduce bead height and side effects to improve weld quality. Twelve simulation cases with different laser powers and scan speeds were carried out to compare bead heights. We discussed way

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13

Alfaro, Sadek C. A., and Paul Drews. "Intelligent systems for welding process automation." Journal of the Brazilian Society of Mechanical Sciences and Engineering 28, no. 1 (2006): 25–29. http://dx.doi.org/10.1590/s1678-58782006000100002.

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14

Okubo, K. "Automation of MAG welding (Report 4)." Welding International 16, no. 12 (2002): 992–94. http://dx.doi.org/10.1080/09507110209549652.

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15

Lendel, I. V., V. A. Lebedev, S. Yu Maksimov, and G. V. Zhuk. "Automation of welding processes with use of mechanical welding equipment." Автоматическая сварка 2017, no. 6 (2017): 99–104. http://dx.doi.org/10.15407/as2017.06.16.

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16

Ren, Zhong Wei, Zhen Yun Duan, Wen Hui Zhao, and Yi Zhang. "Control System of Bellows Welding Equipment Based on Motion Controller." Advanced Materials Research 201-203 (February 2011): 2273–76. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2273.

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In order to improve the integration and automation level of control system of bellows automatic welding equipment, an open control system of bellows welding equipment is proposed which is based on "PC+motion controller" according to the characteristics of welding bellows and current technology of welding control. IPC D610 and the motion card NextmoveES is effectively connectted by RS232 + RS232 / RS485 communication interface. And the integrated top software of control system is developped by using VB based on API function which is provided by controller, parameters setting and real time monit

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17

Liyang, Hanyang. "Training of argon arc welding process for tube aluminum busbar melting pole in UHV power station." MATEC Web of Conferences 175 (2018): 03010. http://dx.doi.org/10.1051/matecconf/201817503010.

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The development of power grid is showing that voltage level is from low to high, networking scale is from small to large, level of automation is from weak to strong.. [1] as the hub of power grid connection between substations, the capacity and automation level of substations is also improving. The large diameter and thick walled tubular busbars of substations have been widely applied. Because of the wide application of tubular aluminum busbar, its welding quality has affected the overall quality of the power plant. Therefore, it is an effective way to improve welding level of power station bu

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18

Ren, Zhong Wei, Zhen Yun Duan, Wen Hui Zhao, and Wei Wei Jiang. "On-Line Detection and Tracking Welding Control Technology of Thin-Walled Bellow." Advanced Materials Research 211-212 (February 2011): 336–39. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.336.

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In order to improve the welding speed, quality and automation level of thin-walled bellow, on-line detection and tracking welding control technology is proposed which includes on-line detection system and tracking welding control system. Based on laser sensor, on-line detection system can rapidly filter the data, and the data is stored in a queue, the control system which is based on motion control card is developed by using ActiveX controls for programming, VB is used to develop the integrated user operating system, other control tasks are completely integrated on this system to realize real-

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19

Liwen, Zhang, Liu Chengdong, Qi Shaoan, et al. "Numerical simulation of inertia friction welding process of GH4169 alloy." Journal de Physique IV 120 (December 2004): 681–87. http://dx.doi.org/10.1051/jp4:2004120078.

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Friction welding is a solid state welding technology with good quality and high automation. It has been widely used in many industry fields especially in automobile and aerospace industry. Because of the characters of less process parameters and high automation, inertia friction welding is popular in many fields. In this paper, a 2-D thermo-mechanical FEM model was developed to simulate inertia welding process. In this model, the temperature dependency of the thermal and mechanical properties of material was considered. The finite-element software MSC.Marc was used to calculate the temperature

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20

Manorathna, Prasad, Sundar Marimuthu, Laura Justham, and Michael Jackson. "Human behaviour capturing in manual tungsten inert gas welding for intelligent automation." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 9 (2015): 1619–27. http://dx.doi.org/10.1177/0954405415604313.

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Tungsten inert gas welding is extensively used in aerospace applications due to its unique ability to produce higher quality welds compared to other conventional arc welding processes. However, most tungsten inert gas welding is performed manually, and it has not achieved the required level of automation. This is mostly attributed to the lack of process knowledge and adaptability to complexities, such as mismatches due to part fit-up and thermal deformations associated with the tungsten inert gas welding process. This article presents a novel study on quantifying manual tungsten inert gas weld

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21

Singh, Arun Pratap, and Dr Shahnawaz Alam. "Wire Feed Rate Optimization for MIG Welding of Alu-minum Alloy 6063." International Journal of Advanced Engineering, Management and Science 8, no. 7 (2022): 01–13. http://dx.doi.org/10.22161/ijaems.87.1.

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MIG welding (metal inert gas welding) is an arc welding technology that generates metal coalescences by heating them with an arc between a filler metallic electrode that is constantly fed, and the work. MIG welding process lends itself to semiautomatic, robotic automation and difficult automation welding packages. The alloy fabric variety for GMAW consists of carbon steel, chrome steel, aluminium (Al), magnesium (Mg), copper (Cu), nickel (Ni), and silicon bronze. This experimental study aims at optimization of the wire feed rate during MIG weld of aluminium sheets by developing the mathematica

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22

Song, Jin Hu. "The Development of Automatic Girth Welding Machine with Dual-Arm for Automobile Axle." Advanced Materials Research 779-780 (September 2013): 1089–93. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1089.

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In order to solve the problem of automobile rear axlewelding equipment with the low level of automation,the poor accuracy, the poorefficiency, a automatic girth welding machine with dual-arm for automobile axlehas been developed based on PLC. Thewelding Proeess automation is realized by PLC controlling gun movement. Theautomatic welding machine has the characteristics of high control precision,good security, fast response speed, high degree of automation, improving weldingquality and production effieiency, lowed serap rates, eonvenient operation, easymaintenance, in particular to improve the w

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23

Joni, Nicolae, and Luigi Renato Mistodie. "Robotic Arc Welding from Flexible Automation to the Advanced Control of Process and Movement." Applied Mechanics and Materials 762 (May 2015): 225–32. http://dx.doi.org/10.4028/www.scientific.net/amm.762.225.

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The most used joining process in industry today is the electric arc welding, EAW. After recalling the principle of the process, the authors present that development of EAW in the last half century is mainly due to the mechanization and automation. Earlier only rigid-type automation forms were used, for highly repetitive mass production – but later the industry requests demanded to find flexible forms of automation, capable of providing a diversified production based on welding and its related processes. Ways are then exemplified concerning mechanization of processes currently used in the indus

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24

Xu, Xiao Long, Ke Li Xing, and Jia Yu Dai. "Girth Automatic Welding System." Applied Mechanics and Materials 556-562 (May 2014): 2528–31. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2528.

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Designed a positioning, welding and reset automatic control system based on stepping motor, PLC, touch screen. Welding torch is positioned through the photoelectric switch. PLC controls stepping motor running and welding torch starting arc and ending arc. Communication between the touch screen and PLC improves the efficiency of the system and achieves the girth automation welding process.

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25

Wahyudi, Bambang Adi, Duwi Leksono Edy, and Wiyono Wiyono. "Automation of Welding Fumes based on MQ-2 Sensor in Welding Laboratory." Jurnal Temapela 3, no. 1 (2020): 1–9. http://dx.doi.org/10.25077/temapela.3.1.1-9.2020.

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In practical welding activities, there are potential hazards that must be addressed. These potential hazards include exposure to toxic fumes and dust. Fumes in the welding process contain a lot of metal oxides and can cause chronic effects in the form of eye irritation, sensory irritation, and impaired lung physiological function. Therefore, an air intake sistem is needed to minimize the volume of fumes in the welding chamber . This study aims to design an automation of exhaust smoke using the sensor module, microcontroller and actuator. The resulting tool is equipped with a display of detecte

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26

KAMO, Kazuhiko. "Welding and Joining System (Automation and Robot)." JOURNAL OF THE JAPAN WELDING SOCIETY 78, no. 6 (2009): 562–67. http://dx.doi.org/10.2207/jjws.78.562.

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27

Baghel, P. K., and D. S. Nagesh. "Pulse TIG welding: Process, Automation and Control." Journal of Welding and Joining 35, no. 1 (2017): 43–48. http://dx.doi.org/10.5781/jwj.2017.35.1.43.

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28

Koleva, E., V. Dzharov, M. Kardjiev, and G. Mladenov. "Automation of the electron-beam welding process." Journal of Physics: Conference Series 700 (March 2016): 012012. http://dx.doi.org/10.1088/1742-6596/700/1/012012.

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29

Greig, Alistair, Susana Rivas, Stephen Blackman, and Walid Tizani. "Welding Automation in Space‐Frame Bridge Construction." Computer-Aided Civil and Infrastructure Engineering 16, no. 3 (2001): 188–99. http://dx.doi.org/10.1111/0885-9507.00225.

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30

Gibson, B. T., D. H. Lammlein, T. J. Prater, et al. "Friction stir welding: Process, automation, and control." Journal of Manufacturing Processes 16, no. 1 (2014): 56–73. http://dx.doi.org/10.1016/j.jmapro.2013.04.002.

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31

Pocica, Anna, and Marcin Pocica. "Mechanisation and Automation at the Turn of the 20th Century." Biuletyn Instytutu Spawalnictwa, no. 2 (April 2020): 33–37. http://dx.doi.org/10.17729/ebis.2020.2/5.

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The article presents the history of the mechanisation and automation of arc welding at the turn of the 20th century, including Benardos’ and Slavyanov’s first welding machines and the first related patents.

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32

Chen, Bo, Chuan Bao Jia, and Ji Cai Feng. "Active Visual Sensor Based Weld Seam Tracking for Underwater Wet Welding." Advanced Materials Research 717 (July 2013): 588–91. http://dx.doi.org/10.4028/www.scientific.net/amr.717.588.

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Weld automation is the development trend of underwater welding, and underwater weld seam tracking is one of the key technologies in weld automation. This paper used active visual sensor to automatically monitor the weld seam in underwater wet weld process, and image processing algorithms were developed to automatically obtain the weld torch deviation, then the weld torch was adjusted automatically according to the deviation obtained by the image, experiment results showed that this method could be used in underwater wet welding.

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33

Geruk, Snanislav, and Olena Sukmanyuk. "Features of the development of welding and welding automation using industrial robots." Collected Works of Kirovohrad National Technical University. Machinery in Agricultural Production, Industry Machine Building, Automation, no. 31 (2018): 58–65. http://dx.doi.org/10.32515/2409-9392.2018.31.58-65.

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34

Ogbemhe, John, and Khumbulani Mpofu. "Towards achieving a fully intelligent robotic arc welding: a review." Industrial Robot: An International Journal 42, no. 5 (2015): 475–84. http://dx.doi.org/10.1108/ir-03-2015-0053.

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Purpose – The purpose of this paper is to review the progress made in arc welding automation using trajectory planning, seam tracking and control methodologies. Design/methodology/approach – This paper discusses key issues in trajectory planning towards achieving full automation of arc welding robots. The identified issues in trajectory planning are real-time control, optimization methods, seam tracking and control methodologies. Recent research is considered and brief conclusions are drawn. Findings – The major difficulty towards realizing a fully intelligent robotic arc welding system remain

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35

Thompson, D. R., A. Ray, and S. Kumara. "A Hierarchically Structured Knowledge-Based System for Welding Automation and Control." Journal of Engineering for Industry 110, no. 1 (1988): 71–76. http://dx.doi.org/10.1115/1.3187845.

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The paper presents the concept and prototype development of a hierarchically structured knowledge-based system (KBS) for coordinated control of a welding robot and a positioning table. The KBS is designed for continuous seam welding in an autonomous manufacturing environment. The structure of the KBS allows updating and installation of individual function and database modules such as those used for determining welding parameters and identifying constraints and parameters for robot and table controllers. The KBS is designed to plan the feasible table configurations and robot trajectories as wel

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36

ZHENG, JIANMING, ZHONGGUO LI, and XI CHEN. "BROKEN AREA MODELING FOR REPAIR AUTOMATION." Journal of Advanced Manufacturing Systems 03, no. 02 (2004): 129–40. http://dx.doi.org/10.1142/s0219686704000442.

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Current repairing process for worn-out blades and blisks of aeroengines and industrial gas turbines is highly manual, labor experience-based and hence error-prone. It requires more sophisticated CNC-driven laser equipment to replace manual welding for the repair. This paper presents an innovative strategy that will lead to the automation of laser welding and cladding. The project makes use of reverse engineering techniques to capture the geometric shape of the broken area by a digitized point cloud and nominal geometry. The core software technologies include four aspects: (i) point-to-surface-

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37

Фролов, А. В. "Automatic shipboard pipeline welding machine." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII), no. 2(52) (June 20, 2021): 91–96. http://dx.doi.org/10.37220/mit.2021.52.2.057.

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Автоматизация сварочных процессов в судостроении играет важную роль на пути повышения качества и эффективности производства. Современные корабли имеют большое количество трубопроводных систем различного назначения. Но автоматизация их изготовления остаётся на низком уровне. В том числе, сварка фланцевых соединений, тройников, поворотных стыков мало автоматизирована. Цель работы – создать установку автоматизированной сварки поворотных стыков элементов судовых трубопроводных систем, а также разработать программу управления установкой, обеспечивающую высокое качество выполнения сварных стыков в а

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38

Hong, Yu Xiang, Bo Hong, Jian Liu, and Xiang Wen Li. "A Method for Welding Deviation Acquisition Based on Magnetic-Control Arc Sensing for Multi-Pass Welding." Advanced Materials Research 852 (January 2014): 239–43. http://dx.doi.org/10.4028/www.scientific.net/amr.852.239.

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In order to solve the problems of seam tracking for automation welding of large welding structure, this paper has respectively built mathematic model for length of magnetic-control arc according to two typical forms of weld pass in multi-pass welding for V-groove seam. By using Matlab/Simulink to analyze the transformation discipline of welding currents, a method for deviation acquisition based on magnetic-control arc sensing for multi-pass welding is proposed. Welding experiments demonstrates that the method proposed can effectively resolve the dilemma of deviation acquisition during multi-pa

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39

Gupta, A. K., V. K. Chouksey, and A. Pandey. "Health assessment of welding by-products in a linear welding automation: Temperature and smoke concentration measurements." Journal of Applied Research and Technology 22, no. 1 (2024): 67–74. http://dx.doi.org/10.22201/icat.24486736e.2024.22.1.2206.

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Due to its potential to improve production and weld quality, automated welding systems are growing in popularity in industrial applications. However, these technologies generate potentially dangerous by-products like welding gases and fumes. By evaluating the temperature range and smoke concentration near the welding area, this study intends to assess the health parameters of welding by-products in linear welding automation. A four-wheeled robot system equipped with joint detection and referencing technologies will be the research subject, which will also improve welding conditions to match in

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40

Zhou, Jian Ping, Xin Yi, Yan Xu, Chuan Yu Zhang, and Chu Hua Liang. "The Welding Track Planning and Motion Control of T-Type Tube Autowelding Machine." Advanced Materials Research 690-693 (May 2013): 2655–58. http://dx.doi.org/10.4028/www.scientific.net/amr.690-693.2655.

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Combining with welding and numerical control technology, welding automation technology has brought the new development for welding equipment industry. This paper mainly aimed at automatic welding process needs for intersecting line of T-type tube, developed a practical automatic welding machine of T-type tube intersecting line, used the PCL893 movement control card as the core control unit, realized whole rotary feed of welding head and front and rear feed of the torch, etc. Integrating with mechanical cam and digital cam, the work achieved space fitting of saddle-shaped weld track so as to re

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41

McPherson, N. A. "Welding automation in shipbuilding and influence of materials." Ironmaking & Steelmaking 39, no. 7 (2012): 483–86. http://dx.doi.org/10.1179/0301923312z.000000000130.

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42

Gorbach, V. G. "Automation of consumable electrode arc welding ship structures." Welding International 17, no. 10 (2003): 801–7. http://dx.doi.org/10.1533/wint.2003.3208.

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43

Bondarenko, O. F., A. H. Dubko, V. M. Sydorets, et al. "Applying of dilatometric effect for resistance welding automation." Технология и конструирование в электронной аппаратуре, no. 6 (June 2017): 14–21. http://dx.doi.org/10.15222/tkea2017.6.14.

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44

Zhang, Li Qin, Li Ling Zhang, and Le Hui Huang. "Fuzzy Penetration Control for TIG Weld Based on Wavelet-Fractal." Advanced Materials Research 722 (July 2013): 545–49. http://dx.doi.org/10.4028/www.scientific.net/amr.722.545.

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Image detection was the important step of Welding automation. In view of the welding image feature of strong noise and poor stability, conventional detect method can not get the clear welding process image, so a fuzzy detection algorithm of welding image based on wavelet and fractal denoising was presented. The fuzzy detection algorithm is used to process welding image and extract molten-pools edge; and then fuzzy PID controlling theory are combined to form a whole image processing and closed-loop penetration controlling system. The experimental results indicated that the controlling system ha

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45

Curiel, David, Fernando Veiga, Alfredo Suarez, and Pedro Villanueva. "Advances in Robotic Welding for Metallic Materials: Application of Inspection, Modeling, Monitoring and Automation Techniques." Metals 13, no. 4 (2023): 711. http://dx.doi.org/10.3390/met13040711.

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The robotic welding manufacturing of metal parts is a very important process, especially in heavy industries such as shipbuilding, oil and gas, automotive, and aerospace. There is a great variety of different techniques for manufacturing by robotic welding, and the welding operations are always in a constant process of evolution, as any advance can be significant to avoid defects during the welding process. Although a great deal of research work has been carried out in recent years, thanks to which results and reviews have been presented on this subject, the main aim of this publication is to

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46

Ge, Yu Chen, Yun Yan Hu, Jun Wang, and Sen Mu. "Platform of Industrial Robot Task Simulation Used in Welding Automation." Advanced Materials Research 915-916 (April 2014): 482–85. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.482.

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Based on the research progress of off-line programming system, propose a virtual manufacturing platform to simulate and monitor industrial robot welding task, by combining motion simulation of three-dimensional models, welding characteristics information-driven and monitoring communications. The platform designed as a three-dimensional solid modeling foreground, with kinematics algorithms and task characteristics as the core, to achieve a common solution that provide jobs simulation ,tatistical information and on-line monitoring. And there is a feasibility analysis of technical means.

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Litsin, K. V., and A. V. Tsukanov. "Automated electric drive for the control system of two-coordinate welding machine." Izvestiya. Ferrous Metallurgy 64, no. 5 (2021): 382–88. http://dx.doi.org/10.17073/0368-0797-2021-5-382-388.

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Two-coordinate welding machine is used to obtain welds on various elements of high quality metal structures. The main disadvantage of the existing equipment is that the work on this machine is currently performed manually. This operation is quite dangerous and monotonous. In addition, hydraulic drive is used as the main drive of the system. Replacement of the hydraulic drive of a two-coordinate welding machine with an electric drive is substantiated in order to increase the efficiency of the entire system. The authors have developed an automated system for a two-coordinate machine for welding

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Song, Jin Hu. "Research of Automatic Welding Machine Controlling System Based Single-Chip." Applied Mechanics and Materials 214 (November 2012): 700–704. http://dx.doi.org/10.4028/www.scientific.net/amm.214.700.

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In this paper, a scheme for the structure and controlling design of an all-position automatic welding machine is studied, and also the automatic welding systemis explored in depth. In this system, the C8051F020 single chip is used as the controller and the DC servo-motor as the executive component. Through the interface circuit and software program of the single chip, the system can control and harmonize the wire-feed speed as well as the tread and swing of the welding tractor, and can meet the needs of the all-position welding technology, hence realizing the automation of welding, and increas

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Gorghiu, Gabriel, Paul Ciprian Patic, and Dorin Cârstoiu. "A Fuzzy Model for Establishing Two Main Parameters of GTAW Process." Solid State Phenomena 166-167 (September 2010): 223–28. http://dx.doi.org/10.4028/www.scientific.net/ssp.166-167.223.

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In the last period, the quality and productivity of arc welding operations increased more than ever, especially in the areas that require high technology, represented mainly by the aerospace and nuclear industry, which led naturally to automation and robotics welding operations. The paper proposes a fuzzy system for the establishing of the main control parameters (welding current and welding speed) function of two important input parameters (plate thickness and diameter of the non consumable tungsten electrode). In this way, one of the actual modeling techniques (fuzzy logic) can be extended i

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Özdilli, Özgür. "Design and manufacture of automatic plastic valve welding machine." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 235, no. 4 (2021): 1017–26. http://dx.doi.org/10.1177/0954408920988214.

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Plastic welding method is a widely used technology for the welding of pressure and vacuum bags using plastic valves. Conducting this process with traditional methods creates disadvantages in terms of production speed, product quality and economical aspects. Today, assembly costs make up the majority of total production costs, manufacturers pay more attention to assembly automation and work in this direction in order to reduce costs, speed up the production process and increase efficiency. In this study, it is aimed to design and manufacture a single Automatic Valve Welding Machine that can do

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