Biagio Palumbo

Prof. Biagio Palumbo

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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9 May 2018 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
FRFrancesco Del Re
Francesco Del Re
VCV. Contaldi
V. Contaldi
AAA. Astarita
A. Astarita
BPBiagio Palumbo
Biagio Palumbo
ASA. Squillace
A. Squillace
PPP. Di Petta
P. Di Petta

30 March 2018 in Materials and Manufacturing Processes
Verified
Journal Article
Closed access
FIFilomena Impero
Filomena Impero
MDMartin Dix
Martin Dix
ASAntonino Squillace
Antonino Squillace
Umberto PriscoUmberto Prisco
Umberto Prisco
BPBiagio Palumbo
Biagio Palumbo
Flaviana TagliaferriFlaviana Tagliaferri
Flaviana Tagliaferri
This paper compares conventional and cryogenic cooling in the deep hole drilling of carbon fiber reinforced polymer (CFRP)/Ti stacks. Various parameters are taken into account to find if the use of cryogenic coolant is justified by the improvement of the final results. Both the thrust and the torque were acquired continuously during the machining operations and compared both in average and distribution. The use of a cryogenic coolant brings a reduction in thrust force and torque without any sensible drawback. Overall the results prove that cryogenic drilling is a suitable technology for CFRP/Ti stack drill.

1 January 2016 in Optics & Laser Technology
Verified
Journal Article
Closed access
CLC. Leone
C. Leone
Silvio GennaSilvio Genna
Silvio Genna
Flaviana TagliaferriFlaviana Tagliaferri
Flaviana Tagliaferri
BPBiagio Palumbo
Biagio Palumbo
MDM. Dix
M. Dix

1 May 2018 in European Journal of Operational Research
Verified
Journal Article
Closed access
ALA. Lepore
A. Lepore
BPBiagio Palumbo
Biagio Palumbo
PCP. Castagliola
P. Castagliola

13 May 2020 in Technometrics
Verified
Journal Article
Closed access
FCFabio Centofanti
Fabio Centofanti
ALAntonio Lepore
Antonio Lepore
AMAlessandra Menafoglio
Alessandra Menafoglio
BPBiagio Palumbo
Biagio Palumbo
SVSimone Vantini
Simone Vantini
The modern development of data acquisition technologies in many industrial processes is facilitating the collection of quality characteristics that are apt to be modelled as functions, which are usually referred to as profiles. At the same time, measurements of concurrent variables, which are related to the quality characteristic profiles, are often available in a functional form as well, and usually referred to as covariates. In order to adjust the monitoring of the quality characteristic profiles by the effect of this additional information, a new functional control chart is elaborated on the residuals obtained from a function-on-function linear regression of the quality characteristic profile on the functional covariates. By means of a Monte Carlo simulation study, the proposed control chart is compared with other control charts already appeared in the literature and some remarks are given on its use in presence of covariate mean shifts. Furthermore, a real-case study in the shipping industry is presented with the purpose of monitoring ship fuel consumption and thus, CO2 emissions from a Ro-Pax ship, with particular regard to detecting their reduction after a specific energy efficiency initiative.

20 January 2020 in Applied Stochastic Models in Business and Industry
Verified
Journal Article
Closed access
PDF file
CCChristian Capezza
Christian Capezza
ALAntonio Lepore
Antonio Lepore
AMAlessandra Menafoglio
Alessandra Menafoglio
BPBiagio Palumbo
Biagio Palumbo
SVSimone Vantini
Simone Vantini