Claudio Zilio

Prof. Claudio Zilio

orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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21 September 2006 in Heat Transfer Engineering
Verified
Journal Article
Closed access
ACAlberto Cavallini
Alberto Cavallini
DCDavide Del Col
Davide Del Col
LDLuca Doretti
Luca Doretti
MMMarko Matkovic
Marko Matkovic
LRLuisa Rossetto
Luisa Rossetto
GCGiuseppe Censi
Giuseppe Censi
This paper proposes a new method to determine the condensation heat transfer coefficient of fluids flowing into horizontal smooth tubes with internal diameters D > 3 mm. The method has been drawn up as simply as possible and is ready to use in heat exchanger modeling and design applications. It is also suitable to work very well with old and new fluids used in the refrigeration, air conditioning, and heat pump industries. Particular attention is given to accuracy: it has been tested over a wide updated experimental database and comes from many different independent researchers with reduced experimental uncertainties. In order to obtain an easy structure, only two equations are employed, related respectively to & Delta; T-independent and to & Delta; T-dependent fluid flows. All the parameters that influence the condensation heat transfer have been included. A comparison has been conducted against HCFCs, HFCs, HCs, carbon dioxide, ammonia, and water data. Zeotropic mixtures with two and three components are also considered in the comparison by applying the Bell and Ghaly [ 1 Bell, K. J. and Ghaly, M. A. 1973. An Approximate Generalized Design Method for Multicomponent/Partial Condenser. AIChE Symp. Ser., vol. 69: 72–79. [CSA] [Google Scholar] ] correction to calculate the relative heat transfer penalization. A model has been developed with the idea of getting high accuracy through an easy structure, and the results show a very satisfactory agreement with experimental data: average deviation eR = +2%, absolute mean deviation eAB = 14%, and standard deviation σN = 19% for the total number of 5478 data points.

1 June 2003 in International Journal of Refrigeration
Verified
Journal Article
Closed access
ACA. Cavallini
A. Cavallini
GCG. Censi
G. Censi
DCD. Del Col
D. Del Col
LDL. Doretti
L. Doretti
GLG.A. Longo
G.A. Longo
CZClaudio Zilio
Claudio Zilio

1 July 2013 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
Mancin SimoneMancin Simone
Mancin Simone
CZClaudio Zilio
Claudio Zilio
Andrea DianiAndrea Diani
Andrea Diani
LRLuisa Rossetto
Luisa Rossetto

1 October 2011 in Energy
Verified
Journal Article
Closed access
CZClaudio Zilio
Claudio Zilio
JBJ. Steven Brown
J. Steven Brown
GSGiovanni Schiochet
Giovanni Schiochet
ACAlberto Cavallini
Alberto Cavallini

1 June 2018 in International Journal of Refrigeration
Verified
Journal Article
Closed access
sergio Bobbosergio Bobbo
sergio Bobbo
GNGiovanni Di Nicola
Giovanni Di Nicola
CZClaudio Zilio
Claudio Zilio
JBJ. Steven Brown
J. Steven Brown
LFLaura Fedele
Laura Fedele

1 July 2010 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
Mancin SimoneMancin Simone
Mancin Simone
CZClaudio Zilio
Claudio Zilio
ACAlberto Cavallini
Alberto Cavallini
LRLuisa Rossetto
Luisa Rossetto