Sergio Aguado

Sergio Aguado

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2012 in International Journal of Machine Tools and Manufacture
Verified
Journal Article
Closed access
SASergio Aguado
Sergio Aguado
DSDavid Samper
David Samper
Jorge SantolariaJorge Santolaria
Jorge Santolaria
JAJuan_José Aguilar_Martín
Juan_José Aguilar_Martín


4 May 2012 in Measurement Science and Technology
Verified
Journal Article
Closed access
SASergio Aguado
Sergio Aguado
DSDavid Samper
David Samper
Jorge SantolariaJorge Santolaria
Jorge Santolaria
JAJuan_José Aguilar_Martín
Juan_José Aguilar_Martín

7 August 2015 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JCJ. Conte
J. Conte
AMAna Cristina Majarena
Ana Cristina Majarena
SASergio Aguado
Sergio Aguado
RARaquel Acero
Raquel Acero
Jorge SantolariaJorge Santolaria
Jorge Santolaria

1 January 2013 in Procedia Engineering
Verified
Journal Article
Open access
CCC. Cajal
C. Cajal
Jorge SantolariaJorge Santolaria
Jorge Santolaria
JVJ. Velazquez
J. Velazquez
SASergio Aguado
Sergio Aguado
JAJose Antonio Albajez
Jose Antonio Albajez
One of the main disadvantages for the use of 3D printers in final product manufacturing is its lack of precision and poor dimensional accuracy. This paper proposes volumetric error compensation technique based on pattern artifacts. This technique is applied to an Objet 350V 3D printer. It is developed the kinematic model of the machine and its error functions are approximated by Legendre polynomials of order 3. As reference measurement device a Zeiss PMC MMC 850 with VAST XT scanning head is used. To materialize the points conical sockets are used that are measured automatically by a self-centering probing system. These measurements allow through an iterative optimization process to identify the coefficients of the polynomials of the error model. After manufacturing various pieces of test patterns, the results achieved are close to 80% reduction in mean error points

1 July 2016 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
SASergio Aguado
Sergio Aguado
JSJorge Santolaria
Jorge Santolaria
DSDavid Samper
David Samper
JAJuan_José Aguilar_Martín
Juan_José Aguilar_Martín
JVJesús Velázquez
Jesús Velázquez