Cargando…

Computational Fluid Dynamics Applications in Food Processing

Computational Fluid Dynamics (CFD) has been applied extensively to great benefit in the food processing sector. Its numerous applications include: predicting the gas flow pattern and particle histories, such as temperature, velocity, residence time, and impact position during spray drying; modeling...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anandharamakrishnan, C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Food, Health, and Nutrition,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4614-7990-1
003 DE-He213
005 20220119052528.0
007 cr nn 008mamaa
008 130807s2013 xxu| s |||| 0|eng d
020 |a 9781461479901  |9 978-1-4614-7990-1 
024 7 |a 10.1007/978-1-4614-7990-1  |2 doi 
050 4 |a TP248.13-.65 
072 7 |a TCB  |2 bicssc 
072 7 |a TEC009010  |2 bisacsh 
072 7 |a TCB  |2 thema 
082 0 4 |a 660.63  |2 23 
100 1 |a Anandharamakrishnan, C.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Computational Fluid Dynamics Applications in Food Processing  |h [electronic resource] /  |c by C. Anandharamakrishnan. 
250 |a 1st ed. 2013. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2013. 
300 |a XI, 86 p. 36 illus., 24 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Food, Health, and Nutrition,  |x 2197-5728 
520 |a Computational Fluid Dynamics (CFD) has been applied extensively to great benefit in the food processing sector. Its numerous applications include: predicting the gas flow pattern and particle histories, such as temperature, velocity, residence time, and impact position during spray drying; modeling of ovens to provide information about temperature and airflow pattern throughout the baking chamber to enhance heat transfer and in turn final product quality; designing hybrid heating ovens, such as microwave-infrared, infrared-electrical or microwave-electrical ovens for rapid baking; model the dynamics of gastrointestinal contents during digestion based on the motor response of the GI tract and the physicochemical properties of luminal contents; retort processing of canned solid and liquid foods for understanding and optimization of the heat transfer processes.   This Brief will recapitulate the various applications of CFD modeling, discuss the recent developments in this field, and identify the strengths and weaknesses of CFD when applied in the food industry. 
650 0 |a Biotechnology. 
650 0 |a Food science. 
650 0 |a Continuum mechanics. 
650 0 |a Fluid mechanics. 
650 1 4 |a Chemical Bioengineering. 
650 2 4 |a Food Science. 
650 2 4 |a Continuum Mechanics. 
650 2 4 |a Engineering Fluid Dynamics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461479895 
776 0 8 |i Printed edition:  |z 9781461479918 
830 0 |a SpringerBriefs in Food, Health, and Nutrition,  |x 2197-5728 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4614-7990-1  |z Texto Completo 
912 |a ZDB-2-CMS 
912 |a ZDB-2-SXC 
950 |a Chemistry and Materials Science (SpringerNature-11644) 
950 |a Chemistry and Material Science (R0) (SpringerNature-43709)