In manufacturing applications, setup and part- program verification on CNC machine tools is a time-consuming and error-prone operation, whose costs are especially relevant when dealing with small batches, custom components, and large/complex shapes. This paper presents an Augmented Reality application aimed at supporting machine tool operators in setting up the machining process, simplifying and quickening the iden- tification of setup errors and misalignments. The paper firstly discusses the system architecture and its implementation, then presents a set of benchmark tests assessing system accuracy and reliability in ego-localization against an open-source AR library and an optical multistereoscopic motion capture ground-truth. Finally, the effectiveness of the proposed solution on the typical part-program setup workflow is assessed by comparison with a standard in-air part-program execution and evaluated by means of a NASA TLX test campaign.

ARTool - Augmented Reality Platform for Machining Setup and Maintenance / Setti, Amedeo; Bosetti, Paolo; Ragni, Matteo. - ELETTRONICO. - (2016), pp. 273-281. (Intervento presentato al convegno Intellisys 2016 tenutosi a London nel 21st–22nd September 2016).

ARTool - Augmented Reality Platform for Machining Setup and Maintenance

Setti, Amedeo;Bosetti, Paolo;Ragni, Matteo
2016-01-01

Abstract

In manufacturing applications, setup and part- program verification on CNC machine tools is a time-consuming and error-prone operation, whose costs are especially relevant when dealing with small batches, custom components, and large/complex shapes. This paper presents an Augmented Reality application aimed at supporting machine tool operators in setting up the machining process, simplifying and quickening the iden- tification of setup errors and misalignments. The paper firstly discusses the system architecture and its implementation, then presents a set of benchmark tests assessing system accuracy and reliability in ego-localization against an open-source AR library and an optical multistereoscopic motion capture ground-truth. Finally, the effectiveness of the proposed solution on the typical part-program setup workflow is assessed by comparison with a standard in-air part-program execution and evaluated by means of a NASA TLX test campaign.
2016
SAI Intelligent Systems Conference 2016
Piscataway, NJ
IEEE
978-1-5090-1121-6
Setti, Amedeo; Bosetti, Paolo; Ragni, Matteo
ARTool - Augmented Reality Platform for Machining Setup and Maintenance / Setti, Amedeo; Bosetti, Paolo; Ragni, Matteo. - ELETTRONICO. - (2016), pp. 273-281. (Intervento presentato al convegno Intellisys 2016 tenutosi a London nel 21st–22nd September 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/154368
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