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• W2891858386 startingPage "2523" @default.
• W2891858386 abstract "Adoption of robots in the manufacturing environment is a way to improve productivity, and the assembly of electronic components has benefited from the adoption of highly dedicated automation equipment. Traditionally, articulated 6-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, excellent repeatability and increasingly lower investment costs. This research investigated the application of an articulated robot with six degrees of freedom to assemble a multi-component printed circuit board (PCB) for an electronic product. A heuristic methodology using a genetic algorithm was used to plan the optimal sequence and identify the best location of the parts to the assembly positions on the PCB. Using the optimised paths, a condition monitoring method for cycle time evaluation was conducted using a KUKA KR16 assembly cell together with four different robot path motions. The genetic algorithm approach together with different assembly position iterations identified an optimisation method for improved production throughput using a non-traditional but highly flexible assembly method. The application of optimised articulated robots for PCB assembly can bridge the gap between manual assembly and the high-throughput automation equipment." @default.
• W2891858386 created "2018-09-27" @default.
• W2891858386 creator A5090161057 @default.
• W2891858386 date "2018-09-05" @default.
• W2891858386 modified "2023-09-27" @default.
• W2891858386 title "Optimisation process for robotic assembly of electronic components" @default.
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• W2891858386 doi "https://doi.org/10.1007/s00170-018-2645-y" @default.
• W2891858386 hasPublicationYear "2018" @default.
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