A novel underactuated smart surface for parts feeding and sorting

Abstract In material handling, numerous solutions have been proposed to enhance the flexibility and adaptability of transport systems. Among these solutions, smart surfaces stand out as one of the most interesting responses, utilizing an array of actuators for common feeding tasks. The current paper focuses on a novel system within this category, notable for its distinguishing factor of being underactuated. With this characteristic, the concept leads to a simplified cost-effective design and a not actively driven functioning, leveraging gravity or object own velocity to manipulate the material flow maintaining top class performances, as the sorting rate reaches 4000 pcs/h. Specifically, the article begins with an introduction of the concept design and its digital model, followed by a description of the experimental setup built to test the surface’s functionality and evaluate the predictions of the virtual counterpart. On top of that, a method to determine the essential parameters for the surface simulation is proposed and applied. As a result, the prototype successfully completed the three main intralogistic tasks experimented, i.e., sorting, slowing, and stopping of packages. Lastly, the digital model outcomes of the same operations were computed and compared with the measured results, demonstrating an accuracy of prediction with displacements and time errors below 7%.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2024-10-07
DOI
https://doi.org/10.1007/s00170-024-14591-8
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel underactuated smart surface for parts feeding and sorting

Edoardo Bianchi, Francisco Javier Brosed Dueso, Gualtiero Fantoni, José A. Yagüe‐Fabra
The International Journal of Advanced Manufacturing Technology
Modular Robots and Swarm Intelligence
article

A novel underactuated smart surface for parts feeding and sorting

Edoardo Bianchi, Francisco Javier Brosed Dueso, Gualtiero Fantoni, José A. Yagüe‐Fabra
article en

Abstract

Abstract In material handling, numerous solutions have been proposed to enhance the flexibility and adaptability of transport systems. Among these solutions, smart surfaces stand out as one of the most interesting responses, utilizing an array of actuators for common feeding tasks. The current paper focuses on a novel system within this category, notable for its distinguishing factor of being underactuated. With this characteristic, the concept leads to a simplified cost-effective design and a not actively driven functioning, leveraging gravity or object own velocity to manipulate the material flow maintaining top class performances, as the sorting rate reaches 4000 pcs/h. Specifically, the article begins with an introduction of the concept design and its digital model, followed by a description of the experimental setup built to test the surface’s functionality and evaluate the predictions of the virtual counterpart. On top of that, a method to determine the essential parameters for the surface simulation is proposed and applied. As a result, the prototype successfully completed the three main intralogistic tasks experimented, i.e., sorting, slowing, and stopping of packages. Lastly, the digital model outcomes of the same operations were computed and compared with the measured results, demonstrating an accuracy of prediction with displacements and time errors below 7%.

The International Journal of Advanced Manufacturing TechnologyVol. 135(3-4)
University of Pisa (IT), Universidad de Zaragoza (ES)
Universidad de Zaragoza
Openalex Percentile: Top 83%
Modular Robots and Swarm Intelligence
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