In nearly every sector of industrial manufacturing, especially the mould and die making industry, polishing techniques are used. Most often, manual polishing is the only option because the tasks are too complex to be automated in terms of surface quality demands, geometrical features and restricted tool accessibility. Therefore, the European H2020 Project SYMPLEXITY 'Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations' developed a CNC-machine-based machining concept comprising a composition of different finishing technologies. The solution is complemented with an objective metrology surface qualification device, which is capable to also measure big parts holistically. The SYMPLEXITY approach combines both a collaborative, intelligence-based and a cooperative human-robot-based technological approach. The demonstrator machine concept is being introduced and first fine machining experiments, comprising polishing and measurements have been conducted to generate an initial parameter set-up. The experiments have been conducted on an empiric basis to identify the main steering parameters for a future semi-analytic, model-based finishing approach.

Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces / Hahnel, S.; Pini, F.; Leali, F.; Dambon, O.; Bergs, T.; Bletek, T.. - 2018-:(2018), pp. 1285-1290. (Intervento presentato al convegno 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 tenutosi a Politecnico di Torino, ita nel 2018) [10.1109/ETFA.2018.8502530].

Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces

Pini F.;Leali F.;
2018

Abstract

In nearly every sector of industrial manufacturing, especially the mould and die making industry, polishing techniques are used. Most often, manual polishing is the only option because the tasks are too complex to be automated in terms of surface quality demands, geometrical features and restricted tool accessibility. Therefore, the European H2020 Project SYMPLEXITY 'Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations' developed a CNC-machine-based machining concept comprising a composition of different finishing technologies. The solution is complemented with an objective metrology surface qualification device, which is capable to also measure big parts holistically. The SYMPLEXITY approach combines both a collaborative, intelligence-based and a cooperative human-robot-based technological approach. The demonstrator machine concept is being introduced and first fine machining experiments, comprising polishing and measurements have been conducted to generate an initial parameter set-up. The experiments have been conducted on an empiric basis to identify the main steering parameters for a future semi-analytic, model-based finishing approach.
2018
23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018
Politecnico di Torino, ita
2018
2018-
1285
1290
Hahnel, S.; Pini, F.; Leali, F.; Dambon, O.; Bergs, T.; Bletek, T.
Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces / Hahnel, S.; Pini, F.; Leali, F.; Dambon, O.; Bergs, T.; Bletek, T.. - 2018-:(2018), pp. 1285-1290. (Intervento presentato al convegno 23rd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2018 tenutosi a Politecnico di Torino, ita nel 2018) [10.1109/ETFA.2018.8502530].
File in questo prodotto:
File Dimensione Formato  
08502530.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 4.02 MB
Formato Adobe PDF
4.02 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1204915
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 10
social impact