Marco Cavazzuti

Prof. Dr. Marco Cavazzuti

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

View All Publications
1 January 2013
Verified
Book
Closed access
MCMarco Cavazzuti
Marco Cavazzuti

20 October 2010 in Structural and Multidisciplinary Optimization
Verified
Journal Article
Closed access
PDF file
MCMarco Cavazzuti
Marco Cavazzuti
ABAndrea Baldini
Andrea Baldini
EBEnrico Bertocchi
Enrico Bertocchi
DCDario Costi
Dario Costi
ETEnrico Torricelli
Enrico Torricelli
PMPatrizio Moruzzi
Patrizio Moruzzi

15 February 2014 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
CRCristina Renzi
Cristina Renzi
FLF. Leali
F. Leali
MCMarco Cavazzuti
Marco Cavazzuti
AAA. O. Andrisano
A. O. Andrisano

1 July 2019 in Applied Thermal Engineering
Verified
Journal Article
Closed access
MCMarco Cavazzuti
Marco Cavazzuti
GGGloria Gaspari
Gloria Gaspari
SPStefano Pasquale
Stefano Pasquale
ESEnrico Stalio
Enrico Stalio

1 June 2015 in Applied Thermal Engineering
Verified
Journal Article
Closed access
MCMarco Cavazzuti
Marco Cavazzuti
EAElia Agnani
Elia Agnani
MCMauro A. Corticelli
Mauro A. Corticelli

6 August 2008 in Numerical Heat Transfer, Part A: Applications
Verified
Journal Article
Closed access
MCMarco Cavazzuti
Marco Cavazzuti
MCMauro A. Corticelli
Mauro A. Corticelli
Heat transfer enhancing surfaces are of interest for a wide range of industrial applications. The aim of this article is to provide a robust automated method for the design of two-dimensional enhanced surfaces. Multiobjective optimization algorithms are employed; the competing objectives addressed are the maximization of the heat transfer and the minimization of the pressure drop for Re = 1,000 and Pr = 0.74. The surfaces are parameterized with Bézier curves, and a finite-volume solver is used for the computational fluid dynamics analysis. The optimization is based on different algorithms used sequentially. Finally, a robust design assessment analysis is carried out on two configurations.