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Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components

College of Engineering, Swansea University, Swansea, UK

Topical Section: Intelligent Systems, Automation & Control

Traditionally, six axis robots have not been used in electronic surface mount assembly. However, the need for more flexible production systems that can be used for low to medium production builds, means that these robots can be used due to their high degrees of flexibility. This research investigated the application of an articulated robot to assemble a multi component PCB for an electronic product. To increase the potential of using this method of automation, a genetic algorithm was used to improve cycle time and condition monitoring was performed to assess the vibrations within the robot structure, during operation. By also studying the motion types the robot movements can be optimized in order to minimize the cycle time and maximize the production throughput with reduced vibrations to improve the accuracy of the assembly process. The study utilised a robotics assembly cell and a robot programmed with different velocities. Vibrations were present throughout out the assembly cycle and by analysing when these large vibrations occur and for which types of motion, an optimal selection could be made. The point-to-point motion type running at 50% speed had a faster assembly time and significantly lower accelerations and oscillations than the other motion types. The spline-linear motion type running at around 30% speed was best for the component insertion due to its linear nature and improved repetition accuracy.
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Keywords genetic algorithm; assembly optimization; electronics assembly; KUKA robotics; condition monitoring

Citation: M. P. Cooper, C. A. Griffiths, K. T. Andrzejewski, C. Giannetti. Motion optimisation for improved cycle time and reduced vibration in robotic assembly of electronic components. AIMS Electronics and Electrical Engineering, 2019, 3(3): 274-289. doi: 10.3934/ElectrEng.2019.3.274


  • 1. Crama Y, Flippo OE, Van De Klundert J, et al. (1997) The assembly of printed circuit boards: A case with multiple machines and multiple board types. Eur J Oper Res 98: 457–472.    
  • 2. Crama Y, Van De Klundert J and Spieksman F (2002) Production planning problems in printed circuit board assembly. Discrete Appl Math 123: 339–361.    
  • 3. Moghaddam M and Nof SY (2016) Parallelism of Pick-and Place operations by multi-gripper robotic arms. Robot Com-Int Manuf 42: 135–146.    
  • 4. Holland JH (1975) Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press.
  • 5. Hong DS and Cho HS (1999) A genetic-algorithm-based approach to the generation of robotic assembly sequences. Control Eng Pract 7: 151–159.    
  • 6. Andrzejewski KT, Cooper MP, Griffiths CA, et al. (2018) Optimisation process for robotic assembly of electronic components. The International Journal of Advanced Manufacturing Technology 99: 2523–2535.    
  • 7. KUKA (2017) KR16. Available from: www.kuka.com/en-us/products/robotics-systems/industrial-robots/kr-16.
  • 8. Cen L and Melkote SN (2017) Effect of Robot Dynamics on the Machining Forces in Robotic Milling. Procedia Manufacturing 10: 486–496.    
  • 9. Guo Y, Dong H, Wang G, et al. (2015) Vibration analysis and suppression in robotic boring process. Int J Mach Tool Manu 101: 102–110.
  • 10. Sahu S, Choudhury BB and Biswal BB (2017) A Vibration Analysis of a 6 Axis Industrial Robot Using FEA. Materials Today: Proceedings 4: 2403–2410.    


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