Pedro E. J. Rivera-Diaz-del-Castillo

Prof. Pedro E. J. Rivera-Diaz-del-Castillo

Lancaster University, Engineering Building, Lancaster, UK

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 August 2018 in Acta Materialia
Verified
Journal Article
Open access
HFHanwei Fu
Hanwei Fu
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo

13 November 2020 in Science Advances
Verified
Journal Article
Open access
PDF file
PGP. Gong
P. Gong
JNJ. Nutter
J. Nutter
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo
WRW. M. Rainforth
W. M. Rainforth
Embrittlement originates from dislocation nanocellular structures stabilized by the presence of hydrogen.

1 September 2019 in Materialia
Verified
Journal Article
Open access
MBMadeleine Bignon
Madeleine Bignon
EBEmmanuel Bertrand
Emmanuel Bertrand
FTFranck Tancret
Franck Tancret
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo

1 August 2020 in Acta Materialia
Verified
Journal Article
Open access
ATAndrej Turk
Andrej Turk
GJGaurav R. Joshi
Gaurav R. Joshi
MGMarius Gintalas
Marius Gintalas
MCMauro Callisti
Mauro Callisti
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo
EGEnrique Galindo-Nava
Enrique Galindo-Nava

18 November 2019 in Materials
Verified
Journal Article
Open access
PDF file
HSHossein Eskandari Sabzi
Hossein Eskandari Sabzi
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo
A model to predict the conditions for printability is presented. The model focuses on crack prevention, as well as on avoiding the formation of defects such as keyholes, balls and lack of fusion. Crack prevention is ensured by controlling the solidification temperature range and path, as well as via quantifying its ability to resist thermal stresses upon solidification. Defect formation prevention is ensured by controlling the melt pool geometry and by taking into consideration the melting properties. The model’s core relies on thermodynamics and physical analysis to ensure optimal printability, and in turn offers key information for alloy design and selective laser melting process control. The model is shown to describe accurately defect formation of 316L austenitic stainless steels reported in the literature.

1 September 2020 in Acta Materialia
Verified
Journal Article
Open access
ATAndrej Turk
Andrej Turk
SPShengda D. Pu
Shengda D. Pu
DBDavid Bombac
David Bombac
PRPedro E. J. Rivera-Diaz-del-Castillo
Pedro E. J. Rivera-Diaz-del-Castillo
EGEnrique Galindo-Nava
Enrique Galindo-Nava