|
Showing 1 - 4 of
4 matches in All Departments
Engineers encounter particles in a variety of systems. The
particles are either naturally present or engineered into these
systems. In either case these particles often significantly affect
the behavior of such systems. This book provides a framework for
analyzing these dispersed phase systems and describes how to
synthesize the behavior of the population particles and their
environment from the behavior of single particles in their local
environments.
Population balances are of key relevance to a very diverse group of
scientists, including astrophysicists, high-energy physicists,
geophysicists, colloid chemists, biophysicists, materials
scientists, chemical engineers, and meteorologists. Chemical
engineers have put population balances to most use, with
applications in the areas of crystallization; gas-liquid,
liquid-liquid, and solid-liquid dispersions; liquid membrane
systems; fluidized bed reactors; aerosol reactors; and microbial
cultures.
Ramkrishna provides a clear and general treatment of population
balances with emphasis on their wide range of applicability. New
insight into population balance models incorporating random
particle growth, dynamic morphological structure, and complex
multivariate formulations with a clear exposition of their
mathematical derivation is presented. Population Balances provides
the only available treatment of the solution of inverse problems
essential for identification of population balance models for
breakage and aggregation processes, particle nucleation, growth
processes, and more. This book is especially useful for process
engineers interested in the simulation and control of particulate
systems. Additionally, comprehensive treatment of the stochastic
formulation of small systems provides for the modeling of
stochastic systems with promising new areas of applications such as
the design of sterilization systems and radiation treatment of
cancerous tumors.
Outstanding features:
A clear and general treatment of population balances with emphasis
on their wide range of applicability. Thus all processes involving
solid-fluid and liquid-liquid dispersions, biological populations,
etc. are encompassed.
Provides new insight into population balance models incorporating
random particle growth, dynamic morphological structure, and
complex multivariate formulations with a clear exposition of their
mathematical derivation.
Presents a wide range of solution techniques, Monte Carlo
simulation methods with a lucid exposition of their origin and
scope for enhancing computational efficiency.
An account of self-similar solutions of population balance
equations and their significance to the treatment of data on
particulate systems.
The only available treatment of the solution of inverse problems
essential for identification of population balance models for
breakage and aggregation processes, particle nucleation and growth
processes and so on.
A comprehensive treatment of the stochastic formulation of small
systems with several new applications.
BENEFITS
(The benefits correspond to the features above in the same order)
This helps to find new applications of population balances and
expanding the scope of their applications.
Provides directions for sophistication of population balance models
to accommodate various complications not envisaged before.
Useful for process engineers interested in the simulation and
control of particulate systems.
Of significance to the treatment of experimental data on dispersed
phase systems.
Useful for process engineers interested in the simulation and
control of particulate systems.
Develops the modeling of stochastic systems with promising new
areas of applications (e.g., design of sterilization systems,
radiation treatment of cancerous tumors).
This book presents the select peer-reviewed proceedings of the
International Conference on Advances in Bioprocess Engineering and
Technology (ICABET 2020). The book covers all aspects of
bioprocesses, especially related to fermentation technology, food
technology, environmental biotechnology, and sustainable energy.
Along with this primary theme, the focus is on recent advances in
bioprocessing research such as biosensors, micro-reactors, novel
separation techniques, bioprocess control, bio-safety, advanced
techniques for waste to wealth generation, and nanobiotechnology.
This contents are divided according to the major themes of the
conference: (i) Fermentation Technology and Bioreactor, (ii) Food
Pharmaceuticals and Health care, (iii) Environment and Agriculture,
and (iv) Sustainable Energy. This book is intended to help
students, researchers, and industry professionals acquire knowledge
on innovative technologies and recent advancements in the field of
bioprocess engineering and technology.
This book presents the select peer-reviewed proceedings of the
International Conference on Advances in Bioprocess Engineering and
Technology (ICABET 2020). The book covers all aspects of
bioprocesses, especially related to fermentation technology, food
technology, environmental biotechnology, and sustainable energy.
Along with this primary theme, the focus is on recent advances in
bioprocessing research such as biosensors, micro-reactors, novel
separation techniques, bioprocess control, bio-safety, advanced
techniques for waste to wealth generation, and nanobiotechnology.
This contents are divided according to the major themes of the
conference: (i) Fermentation Technology and Bioreactor, (ii) Food
Pharmaceuticals and Health care, (iii) Environment and Agriculture,
and (iv) Sustainable Energy. This book is intended to help
students, researchers, and industry professionals acquire knowledge
on innovative technologies and recent advancements in the field of
bioprocess engineering and technology.
Uniquely focusing on dynamic modeling, this volume incorporates
metabolic regulation as a survival mechanism for cells, by driving
metabolism through optimal investment of its resources for control
of enzyme synthesis and activity. Consequently, the models have a
proven record of describing various uptake patterns of mixed carbon
substrates that have become significant in modern applications of
biomass for the production of bioenergy. The models accurately
describe dynamic behavior of microbes in nutrient environments with
mixtures of complementary substrates, such as carbon and nitrogen.
Modeling of large metabolic networks (including prospects for
extension to genome scale) is enabled by lumped hybrid cybernetic
models with an unparalleled capacity to predict dynamic behavior of
knockout strains. This is an invaluable, must-have reference for
bio-researchers and practicing engineers.
|
|