Advanced Computational Approaches for Drying in Food Processing | Agenda Bookshop Skip to content
Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Krunal M. Gangawane
B01=Madhuresh Dwivedi
B01=Ram Chandra Pradhan
Category1=Non-Fiction
Category=PN
Category=TDCT
COP=Switzerland
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch

Advanced Computational Approaches for Drying in Food Processing

English

Computational methods have become important techniques for drying in food processing. There are two principle computational approaches for system analysis: continuous and discrete. In the continuous approach, the governing equations can be obtained by applying the fundamental laws such as conservation of mass, momentum and energy over an infinitesimal control volume. These equations are further discretized by using a suitable discretization technique. The recovered set of algebraic equations are then solved by an applied numerical method. The discrete approach concentrates on mimicking the molecular movement within system. Recent years have witnessed a rapid development in the field of computational techniques owing to its abundant benefit to the food processing industry. The relevance of advanced computational methods has helped in understanding the fundamental physics of thermal and hydrodynamics behavior that can provide benefits to the food processing industry in numerous applications such as drying, evaporation, sterilization, mixing and refrigeration. 
Advanced Computational Approaches for Drying in Food Processing examines the use of different numerical/computational techniques for the simulation of fluid flow and heat and mass transfer from/within food products such as cereal, chicken, beef, fruits, vegetables and more. The text promotes a thorough understanding of the drying process and its pivotal role in various applications in food processing plus advances in computer simulation techniques which have witnessed rapid popularity due to factors such as low-cost and ease in parametric study. CFD analysis and its use in developing new dryers, modification of current systems energy saving and process optimization is covered in full plus appropriate modelling for enhancement of food quality. Different phytochemical changes are explored plus novel strategies for the use of renewable energy, optimization of energy consumption and heat recovery and application of environmentally friendly technologies.  This book provides a single information source for readers interested in the use of methods based on numerical/computational analysis as applied for drying phenomenon in food science and technology. See more
Current price €183.34
Original price €192.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Krunal M. GangawaneB01=Madhuresh DwivediB01=Ram Chandra PradhanCategory1=Non-FictionCategory=PNCategory=TDCTCOP=SwitzerlandDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 18 Sep 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031625497

About

Krunal M. Gangawaneis an Assistant Professor in the Department of Chemical Engineering at the National Institute of Technology Rourkela in Odisha IndiaMadhuresh Dwivedi is an Assistant Professor in the Department of Food Process Engineering at the National Institute of Technology Rourkela in Odisha India Ram Chandra Pradhan is an Associate Editor in the Department of Food Process Engineering at the National Institute of Technology Rourkela in Odisha India 

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept