Academic literature on the topic 'Robotic spot welding'

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Journal articles on the topic "Robotic spot welding"

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Deniz, Cengiz, and Mustafa Cakir. "In-line stereo-camera assisted robotic spot welding quality control system." Industrial Robot: An International Journal 45, no. 1 (January 15, 2018): 54–63. http://dx.doi.org/10.1108/ir-06-2017-0117.

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Purpose The purpose of this study is to design a robotic inline measurement system for spot welding quality control to achieve process requirement without any operator during the manufacturing flow. Design/methodology/approach A robot manipulator carries a stereo-camera and an ultrasonic control probe. The center position of the spot welding point is determined by evaluating the results of the edge, gradient and symmetry approaches from the methods proposed up to now in the literature to increase reliability. The center position of the spot welding point, determined in the camera reference plane, is transferred to the robot base plane coordinates with the hand–eye calibration proposed in this manuscript. Weld quality is checked by the ultrasonic test probe located at the spot welding point. Findings While operators can only control welding quality, the developed station can also evaluate the quality based on geometric accuracy by processing the deviation of the position of the spot welding points. The proposed calibration method and the results of other methods in the literature are presented in this study by comparing it with synthetic data in simulations and in practical application. Research limitations/implications The quality control is performed not only for the spot welding made with robots but also for the manual welds as well. Because of vision configuration, and reliability issues, maximum allowable offset by the correct spot position is limited to 20 mm to position the manipulator for testing. The installation and pretest works of the developed robotic welding quality control station are completed in the Body Shop Area of Ford Otosan factory in Kocaeli/Turkey. The results of the robotic control process are monitored by the quality assurance team. Integration of automation with the production line will be completed and an inline measurement will be done. Originality value In this paper, a new hand–eye calibration method based on simple and closed-form analytical solutions has been presented. The objective function is defined as reducing the deviation in the point projection, rather than reducing the error in the calibration equation. To increase reliability, combining the results of existing centering algorithms for the detection of the strongly deformed spot welding spot center, although it is normally in a circular form, has been suggested.
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Borys, Szymon. "Analysis of tool vibrations during robotic spot welding process." Mechanik, no. 7 (July 2016): 646–47. http://dx.doi.org/10.17814/mechanik.2016.7.107.

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Mechefske, C. K., and C. Zeng. "Opportunistic electrode replacement in a robotic spot welding system." International Journal of Computer Integrated Manufacturing 19, no. 5 (July 2006): 481–89. http://dx.doi.org/10.1080/09511920500399284.

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Sachan, Deepak, Avinash Patil, and Subrata Biswas. "Automatic Spot Welding of Ventilation Spacers on Lamination Sheet Using Robotic Work Cell." International Journal of Materials, Mechanics and Manufacturing 5, no. 1 (February 2017): 51–54. http://dx.doi.org/10.18178/ijmmm.2017.5.1.288.

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Suzuki, Reiichi, and Chin Ryo. "Aluminum-steel dissimilar robotic arc spot welding with auxiliary insert." Welding in the World 63, no. 6 (August 21, 2019): 1733–46. http://dx.doi.org/10.1007/s40194-019-00795-0.

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Lopes, Thiago Cantos, C. G. S. Sikora, Rafael Gobbi Molina, Daniel Schibelbain, L. C. A. Rodrigues, and Leandro Magatão. "Balancing a robotic spot welding manufacturing line: An industrial case study." European Journal of Operational Research 263, no. 3 (December 2017): 1033–48. http://dx.doi.org/10.1016/j.ejor.2017.06.001.

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Zhang, Qiang, and Ming-Yong Zhao. "Minimum time path planning of robotic manipulator in drilling/spot welding tasks." Journal of Computational Design and Engineering 3, no. 2 (November 14, 2015): 132–39. http://dx.doi.org/10.1016/j.jcde.2015.10.004.

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Abstract In this paper, a minimum time path planning strategy is proposed for multi points manufacturing problems in drilling/spot welding tasks. By optimizing the travelling schedule of the set points and the detailed transfer path between points, the minimum time manufacturing task is realized under fully utilizing the dynamic performance of robotic manipulator. According to the start-stop movement in drilling/spot welding task, the path planning problem can be converted into a traveling salesman problem (TSP) and a series of point to point minimum time transfer path planning problems. Cubic Hermite interpolation polynomial is used to parameterize the transfer path and then the path parameters are optimized to obtain minimum point to point transfer time. A new TSP with minimum time index is constructed by using point-point transfer time as the TSP parameter. The classical genetic algorithm (GA) is applied to obtain the optimal travelling schedule. Several minimum time drilling tasks of a 3-DOF robotic manipulator are used as examples to demonstrate the effectiveness of the proposed approach. Highlights In this paper, an optimization strategy is proposed for solving minimum time manufacturing path planning in multi points manufacturing tasks. According to the start-stop movement in drilling/spot welding task, the path planning problem is converted into a traveling salesman problem (TSP) and a series of point to point minimum time transfer path planning problems. Cubic Hermite interpolation polynomial is used to parameterize the transfer path and then the path parameters are optimized to obtain minimum point to point transfer time. A new TSP with minimum time index is constructed and then solved by using a classical genetic algorithm (GA). Numerical test is executed to demonstrate the effectiveness of the proposed approach.
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Lakshmi Balasubramaniam, Guruvignesh, Enkhsaikhan Boldsaikhan, Shintaro Fukada, Mitsuo Fujimoto, and Kenichi Kamimuki. "Effects of Refill Friction Stir Spot Weld Spacing and Edge Margin on Mechanical Properties of Multi-Spot-Welded Panels." Journal of Manufacturing and Materials Processing 4, no. 2 (June 7, 2020): 55. http://dx.doi.org/10.3390/jmmp4020055.

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Refill friction stir spot welding (RFSSW) is an emerging technology for joining aerospace aluminum alloys. The aim of the study is to investigate the effects of the refill friction stir spot weld spacing and the edge margin on the mechanical properties of multi-spot-welded AA7075-T6 panels. AA7075-T6 is a baseline aerospace aluminum alloy used in aircraft structures. The study employs an innovative robotic RFSSW system that is designed and developed by Kawasaki Heavy Industries (KHI). The experimental strategy uses Design of Experiments (DoE) to characterize the failure loads of multi-spot-welded panels in terms of the spot weld spacing, edge margin, and heat-affected zone (HAZ) of the spot weld. The RFSSW process leaves behind a thermal “imprint” as HAZ in heat-treatable aluminum alloys. According to the DoE results, larger spot weld spacings with no HAZ overlap produce higher failure loads of multi-spot-welded panels. On the other hand, edge margins that are equal to or less than the spot weld diameter demonstrate abnormal plastic deformations, such as workpiece edge swelling and weld crown dents, during the RFSSW process. The larger edge margins do not demonstrate such abnormal deformations during the welding process.
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Hajduk, Mikuláš, Ján Semjon, and Marek Vagaš. "Design of the Welding Fixture for the Robotic Stations for Spot Welding Based on the Modular Concept." Acta Mechanica Slovaca 13, no. 3 (October 31, 2009): 30–37. http://dx.doi.org/10.2478/v10147-010-0044-y.

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Singh, Puran, Anil Kumar, and Mahesh Vashisth. "Design of a Robotic Arm with Gripper & End Effector for Spot Welding." Universal Journal of Mechanical Engineering 1, no. 3 (October 2013): 92–97. http://dx.doi.org/10.13189/ujme.2013.010303.

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Dissertations / Theses on the topic "Robotic spot welding"

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Kaňa, Vojtěch. "Návrh robotické buňky pro bodové svařování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400978.

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The aim of this thesis was to design a robotic cell for spot welding of seat reinforcement and the subsequent automatic transport of the part from the cell. Both construction plan and process simulation in Process Simulate should be performed there. It is therefore an application for the automotive industry. The cell consists of a device into which the operator places the parts and is placed on the designed turntable. The welding is performed by two Kuka robots and welding tongs attached to them. The thesis deals with the design of the structure and the choice of individual components, as well as their appropriate deployment in the cell. Along with the design of the cell, the simulation was processed in the software. The output of the thesis is a 3D model of the workplace, simulation of the whole process of welding and manipulation and evaluation of the cell cycle using the RCS module.
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Lukačovič, Peter. "Návrh robotické buňky pro svařování a manipulaci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382111.

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The purpose of this master’s thesis is a design of the robotic cell for spot welding followed by manipulation with parts assigned for automotive industry. The cell should consist of a rotary table operated by a process operator and set of six-axis robots for spot welding and manipulation with parts. The thesis also describes the design of the end effectors of all robots, the design of rotary table with regard to welding technology and configuration of the cell to obtain maximal efficiency. The output of the thesis is 3D model, workflow simulation, evaluation of the production times and operator work conditions.
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Soprunenko, Valeriia. "Optimalizace parametrů svařování na robotech pro automobilový průmysl." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417108.

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Thesis deals with individual technology of new welding processes "specifically FRONIUS TPSi". The greatest emphasis is on welding technology, especially on the differences between the individual methods. The experimental part of the thesis is focused on finding suitable parameters for welding filled welds.Everythingwith respect to required welds quality welded by robotic welding. The samples were evaluated in terms of penetration depth, amount of heat introduced and the number of defects.
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Book chapters on the topic "Robotic spot welding"

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Miller, Richard K. "Spot Welding." In Industrial Robot Handbook, 146–52. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6608-9_15.

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Wang, Bo, Tao Wang, Wei Fan, and Yu Wang. "Mechanism and Impedance Control of Pneumatic Servo Driving System for Resistance Spot Welding." In Intelligent Robotics and Applications, 201–9. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22879-2_19.

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Banga, Harish Kumar, Parveen Kalra, and Krishna Koli. "Utilization of Delmia Software for Saving Cycle Time in Robotics Spot Welding." In Advances in Intelligent Systems and Computing, 265–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6981-8_22.

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Janota, M., and J. Kubán. "Adaptive Systems of Process Control for Spot Welding Robotic Cells." In Automation and Robotisation in Welding and Allied Processes, 97–104. Elsevier, 1985. http://dx.doi.org/10.1016/b978-0-08-032533-0.50013-x.

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Conference papers on the topic "Robotic spot welding"

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Mikulas, Hajduk, Semjon Jan, Vagas Marek, and Mikulas Hajduk. "Robotic cell with robot Kuka for spot welding." In 2008 6th International Symposium on Applied Machine Intelligence and Informatics. IEEE, 2008. http://dx.doi.org/10.1109/sami.2008.4469146.

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"DESIGN OF A FULLY AUTOMATED ROBOTIC SPOT-WELDING LINE." In 8th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003442603870392.

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"FEATURE SELECTION FOR IDENTIFICATION OF SPOT WELDING PROCESSES." In 3nd International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001209100400046.

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Niu, Bin, Yonglin Chi, and Hui Zhang. "Dynamic electrode force control of resistance spot welding robot." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420728.

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Segeborn, Johan, Johan S. Carlson, Kristina Wa¨rmefjord, and Rikard So¨derberg. "Evaluating Genetic Algorithms on Welding Sequence Optimization With Respect to Dimensional Variation and Cycle Time." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48393.

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Spot welding is the predominant joining method in car body assembly. Spot welding sequences have a significant influence on the dimensional variation of resulting assemblies and ultimately on overall product quality. It also has a significant influence on welding robot cycle time and thus ultimately on manufacturing cost. In this work we evaluate the performance of Genetic Algorithms, GAs, on multi-criteria optimization of welding sequence with respect to dimensional assembly variation and welding robot cycle time. Reference assemblies are fully modelled in 3D including detailed fixtures, welding robots and weld guns. Dimensional variation is obtained using variation simulation and part measurement data. Cycle time is obtained using automatic robot path planning. GAs are not guaranteed to find the global optimum. Besides exhaustive calculations, there is no way to determine how close to the actual optimum a GA trial has reached. Furthermore, sequence fitness evaluations constitute the absolute majority of optimization computation running time and do thus need to be kept to a minimum. Therefore, for two industrial reference assemblies we investigate the number of fitness evaluations that is required to find a sequence that is optimal or a near-optimal with respect to the fitness function. The fitness function in this work is a single criterion based on a weighted and normalized combination of dimensional variation and cycle time. Both reference assemblies involves 7 spot welds which entails 7!=5040 possible welding sequences. For both reference assemblies, dimensional variation and cycle time is exhaustively calculated for all 5040 possible sequences, determining the optimal sequence, with respect to the fitness function, for a fact. Then a GA that utilizes Random Key Encoding is applied on both cases and the performance is recorded. It is found that in searching through about 1% of the possible sequences, optimum is reached in about half of the trials and 80–90% of the trials reach the ten best sequences. Furthermore the optimum of the single criterion fitness function entails dimensional variation and cycle time fairly close to their respective optimum. In conclusion, this work indicates that genetic algorithms are highly effective in optimizing welding sequence with respect to dimensional variation and cycle time.
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"RESISTANCE SPOT WELDING PROCESS IDENTIFICATION AND INITIALIZATION BASED ON SELF-ORGANIZING MAPS." In First International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001128802960299.

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Park, Jahng Hyon, and Jinhan Jeong. "Task Optimization for Spot-Welding by a Multiple Robot System Using Evolutionary Algorithm." In International Conference of Control, Dynamic Systems, and Robotics. Avestia Publishing, 2016. http://dx.doi.org/10.11159/cdsr16.106.

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Dong, Lixin, Xinyong Tao, Li Zhang, Xiaobin Zhang, and Bradley J. Nelson. "Nanorobotic Spot Welding by Attogram Precision Metal Deposition from Copper-filled Carbon Nanotubes." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363184.

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Liang Gong and Cheng-liang Liu. "Electrode displacement patterns inferred as the optimal control criteria during the resistance spot welding process." In 2011 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2011. http://dx.doi.org/10.1109/icra.2011.5980159.

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Song, Yifeng, Hongguang Wang, Wenbin Gao, and Haitao Luo. "Dynamic deformation analysis of a spot welding robot under high speed and heavy load working condition." In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2013. http://dx.doi.org/10.1109/robio.2013.6739770.

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