In 3-axis milling operations the surface error caused by the tool/workpiece static deflection assumes a certain shape along the axial depth of cut. The error shape changes considerably according to the cutting strategy, tool geometry and cutting parameters. This paper presents a comprehensive method to identify all the types of surface error profile in down-milling, proposing dedicated analytical equations. This approach has been experimentally validated to assess its accuracy and limits. The results of this approach are meant to ease the surface error prediction and measurement by reducing the number of points to consider along the axial depth of cut.

Surface error shape identification for 3-axis milling operations / Morelli L.; Grossi N.; Scippa A.; Campatelli G.. - ELETTRONICO. - 101:(2020), pp. 126-129. (Intervento presentato al convegno 9th CIRP Conference on High Performance Cutting, HPC 2020 nel 2021) [10.1016/j.procir.2021.02.016].

Surface error shape identification for 3-axis milling operations

Morelli L.
;
Grossi N.;Scippa A.;Campatelli G.
2020

Abstract

In 3-axis milling operations the surface error caused by the tool/workpiece static deflection assumes a certain shape along the axial depth of cut. The error shape changes considerably according to the cutting strategy, tool geometry and cutting parameters. This paper presents a comprehensive method to identify all the types of surface error profile in down-milling, proposing dedicated analytical equations. This approach has been experimentally validated to assess its accuracy and limits. The results of this approach are meant to ease the surface error prediction and measurement by reducing the number of points to consider along the axial depth of cut.
2020
Procedia CIRP
9th CIRP Conference on High Performance Cutting, HPC 2020
2021
Morelli L.; Grossi N.; Scippa A.; Campatelli G.
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S2212827121006727-main.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 937.95 kB
Formato Adobe PDF
937.95 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1263865
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact