A predictive modelling approach to support the overfill volume definition of liquid-in-vial drug products

2022 ◽  
pp. pdajpst.2021.012658
Author(s):  
Sébastien Dasnoy ◽  
Laura Simonin ◽  
Soizic Radulovic ◽  
Andy White ◽  
Jean-François Decoster ◽  
...  
2018 ◽  
Vol 35 (4) ◽  
pp. 557-568 ◽  
Author(s):  
Sujeet Kumar Sharma ◽  
Ali Al-Badi ◽  
Nripendra P. Rana ◽  
Laila Al-Azizi

Author(s):  
Rod Eddies ◽  
Ray Wood ◽  
Asher Haynes ◽  
David Warburton ◽  
Chris Pressdee

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1134 ◽  
Author(s):  
Mario Monzón ◽  
Rubén Paz ◽  
Martí Verdaguer ◽  
Luis Suárez ◽  
Pere Badalló ◽  
...  

The use of natural fibres allows reducing environmental impact, due to their natural renewable origin and the lower energy needed for their production and processing. This work presents the mechanical characterization of a newly developed technical textile, with banana fibre treated by enzymes, comparing experimental results with numerical simulation based on the definition of the unit cell at micromechanical level. The experimental test shows that the composite with the fabric of banana fibre presents worse mechanical behaviour than the one with commercial flax fibre. The presence of wool, necessary for producing the yarn, reduces the mechanical properties of the banana textile. The numerical simulation had an acceptable error compared with the experimental results, with a global average error of 9%, showing that the predictive modelling based on the multiscale method is suitable for the design process of this kind of composite.


2017 ◽  
Vol 110 (26) ◽  
pp. 263105 ◽  
Author(s):  
M. Trautmann ◽  
F. Cheynis ◽  
F. Leroy ◽  
S. Curiotto ◽  
O. Pierre-Louis ◽  
...  

2017 ◽  
Vol 99 ◽  
pp. 9-17 ◽  
Author(s):  
Swanand J. Deodhar ◽  
Mani Subramani ◽  
Akbar Zaheer

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251297
Author(s):  
Pinaki Bhattacharya ◽  
Qiao Li ◽  
Damien Lacroix ◽  
Visakan Kadirkamanathan ◽  
Marco Viceconti

Throughout engineering there are problems where it is required to predict a quantity based on the measurement of another, but where the two quantities possess characteristic variations over vastly different ranges of time and space. Among the many challenges posed by such ‘multiscale’ problems, that of defining a ‘scale’ remains poorly addressed. This fundamental problem has led to much confusion in the field of biomedical engineering in particular. The present study proposes a definition of scale based on measurement limitations of existing instruments, available computational power, and on the ranges of time and space over which quantities of interest vary characteristically. The definition is used to construct a multiscale modelling methodology from start to finish, beginning with a description of the system (portion of reality of interest) and ending with an algorithmic orchestration of mathematical models at different scales within the system. The methodology is illustrated for a specific but well-researched problem. The concept of scale and the multiscale modelling approach introduced are shown to be easily adaptable to other closely related problems. Although out of the scope of this paper, we believe that the proposed methodology can be applied widely throughout engineering.


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