Augmented reality is considered one of the enabling technologies of the fourth industrial revolution, within the Industry 4.0 program and beyond. Indeed, augmented reality solutions can increase the working quality and the productivity and allow a better use of the human resources. This technology can help the operator in the industrial applications during the crucial phases of the processes. Since the quality assessment of the surfaces is recognized to be a key phase in the polishing process, in this paper we propose a novel method that exploits augmented reality to support the operators during this phase. The metrology data measured by a surface measurement system are directly projected on the polished component through an augmented reality headset worn by the operators and used to assess the quality of the worked surfaces. Rather than imagine how a certain parameter change can affect the result achieved, the information is directly there on the component's surface. Users can see from the data where refinements are required and make better and faster decisions, which is compelling for its potential beyond industrial polishing. The proposed method is implemented and validated on an industrial cell, where the robot automatically perform the polishing task and move the head of the surface measurement system along the surface to measure the metrology parameters. Thanks to the proposed approach, the end-user and the operator can directly see on the component if the quality reached satisfies the specifications or if some parts of the surface require further refinements through additional polishing steps.

Augmented reality based approach for on-line quality assessment of polished surfaces / Ferraguti, Federica; Pini, Fabio; Gale, Thomas; Messmer, Franck; Storchi, Chiara; Leali, Francesco; Fantuzzi, Cesare. - In: ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING. - ISSN 0736-5845. - 59:(2019), pp. 158-167. [10.1016/j.rcim.2019.04.007]

Augmented reality based approach for on-line quality assessment of polished surfaces

Ferraguti, Federica
;
Pini, Fabio;Leali, Francesco;Fantuzzi, Cesare
2019

Abstract

Augmented reality is considered one of the enabling technologies of the fourth industrial revolution, within the Industry 4.0 program and beyond. Indeed, augmented reality solutions can increase the working quality and the productivity and allow a better use of the human resources. This technology can help the operator in the industrial applications during the crucial phases of the processes. Since the quality assessment of the surfaces is recognized to be a key phase in the polishing process, in this paper we propose a novel method that exploits augmented reality to support the operators during this phase. The metrology data measured by a surface measurement system are directly projected on the polished component through an augmented reality headset worn by the operators and used to assess the quality of the worked surfaces. Rather than imagine how a certain parameter change can affect the result achieved, the information is directly there on the component's surface. Users can see from the data where refinements are required and make better and faster decisions, which is compelling for its potential beyond industrial polishing. The proposed method is implemented and validated on an industrial cell, where the robot automatically perform the polishing task and move the head of the surface measurement system along the surface to measure the metrology parameters. Thanks to the proposed approach, the end-user and the operator can directly see on the component if the quality reached satisfies the specifications or if some parts of the surface require further refinements through additional polishing steps.
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158
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Augmented reality based approach for on-line quality assessment of polished surfaces / Ferraguti, Federica; Pini, Fabio; Gale, Thomas; Messmer, Franck; Storchi, Chiara; Leali, Francesco; Fantuzzi, Cesare. - In: ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING. - ISSN 0736-5845. - 59:(2019), pp. 158-167. [10.1016/j.rcim.2019.04.007]
Ferraguti, Federica; Pini, Fabio; Gale, Thomas; Messmer, Franck; Storchi, Chiara; Leali, Francesco; Fantuzzi, Cesare
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1175697
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