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In engineering, there are often situations in which the material of
the main component is unable to sustain long life or protect itself
from adverse operating environments. Moreover, in some cases,
different material properties such as anti-friction and wear,
anti-corrosive, thermal resistive, super hydrophobic, etc. are
required as per the operating conditions. If those bulk components
are made of such materials and possess those properties, the cost
will be very high. In such cases, a practical solution is surface
coating, which serves as a protective barrier to the bulk material
from the adverse environment. In the last decade, with enormous
effort, researchers and scientists have developed suitable
materials to overcome those unfavorable operating conditions, and
they have used advanced deposition techniques to enhance the
adhesion and surface texturing of the coatings. Advanced Surface
Coating Techniques for Modern Industrial Applications is a highly
sought reference source that compiles the recent research trends in
these new and emerging surface coating materials, deposition
techniques, properties of coated materials, and their applications
in various engineering and industrial fields. The book particularly
focuses on 1) coating materials including anti-corrosive materials
and nanomaterials, 2) coating methods including thermal spray and
electroless disposition, and 3) applications such as surface
engineering and thin film application. The book is ideal for
engineers, scientists, researchers, academicians, and students
working in fields like material science, mechanical engineering,
tribology, chemical and corrosion science, bio-medical engineering,
biomaterials, and aerospace engineering.
Traditional machining has many limitations in today's
technology-driven world, which has caused industrial professionals
to begin implementing various optimization techniques within their
machining processes. The application of methods including machine
learning and genetic algorithms has recently transformed the
manufacturing industry and created countless opportunities in
non-traditional machining methods. Significant research in this
area, however, is still considerably lacking. Machine Learning
Applications in Non-Conventional Machining Processes is a
collection of innovative research on the advancement of intelligent
technology in industrial environments and its applications within
the manufacturing field. While highlighting topics including
evolutionary algorithms, micro-machining, and artificial neural
networks, this book is ideally designed for researchers,
academicians, engineers, managers, developers, practitioners,
industrialists, and students seeking current research on
intelligence-based machining processes in today's technology-driven
market.
Bioengineering is a rapidly expanding interdisciplinary field that
encompasses application engineering techniques in the field of
mechanical engineering, electrical, electronics and instrumentation
engineering, and computer science and engineering to solve the
problems of the biological world. With the advent to digital
computers and rapidly developing computational techniques, computer
simulations are widely used as a predictive tool to supplement the
experimental techniques in engineering and technology.
Computational biomechanics is a field where the movements
biological systems are assessed in the light of computer algorithms
describing solid and fluid mechanical principles. This book
outlines recent developments in the field of computational
biomechanics. It presents a series of computational techniques that
are the backbone of the field that includes finite element
analysis, multi-scale modelling, fluid-solid interaction, mesh-less
techniques and topological optimization. It also presents a series
of case studies highlighting applications of these techniques in
different biological system and different case studies detailing
the application of the principles described earlier and the
outcomes. This book gives an overview of the current trends and
future directions of research and development in the field of
computational biomechanics. Overall, this book gives insight into
the current trends of application of intelligent computational
techniques used to analyse a multitude of phenomena the field of
biomechanics. It elaborates a series of sophisticated techniques
used for computer simulation in both solid mechanics, fluid
mechanics and fluid-solid interface across different domain of
biological world and across various dimensional scales along with
relevant case studies. The book elucidates how human locomotion to
bacterial swimming, blood flow to sports science, these wide range
of phenomena can be analyzed using computational methods to
understand their inherent mechanisms of work and predict the
behavior of the system. The target audience of the book will be
post-graduate students and researchers in the field of Biomedical
Engineering. Also industry professionals in biomedical engineering
and allied disciplines including but not limited to kinesiologists
and clinicians, as well as, computer engineers and applied
mathematicians working in algorithm development in biomechanics.
With the advent of digital computers and rapidly developing
computational techniques, computer simulations are widely used as
predictive tools to supplement experimental techniques in
engineering and technology. Computational biomechanics is a field
where the movements of biological systems are assessed in the light
of computer algorithms describing solid and fluid mechanical
principles. This rapidly developing field must be constantly
studied and updated as it continues to expand. Advances in
Computational Approaches in Biomechanics examines the current
trends and applications of intelligent computational techniques
used to analyze a multitude of phenomena in the field of
biomechanics and elaborates a series of sophisticated techniques
used for computer simulation in solid mechanics, fluid mechanics,
and fluid-solid interface. Covering a range of topics such as
injury prevention, element analysis, and soft tissues, this
publication is ideal for industry professionals, practitioners,
researchers, academicians, instructors, and students.
Traditional machining has many limitations in today's
technology-driven world, which has caused industrial professionals
to begin implementing various optimization techniques within their
machining processes. The application of methods including machine
learning and genetic algorithms has recently transformed the
manufacturing industry and created countless opportunities in
non-traditional machining methods. Significant research in this
area, however, is still considerably lacking. Machine Learning
Applications in Non-Conventional Machining Processes is a
collection of innovative research on the advancement of intelligent
technology in industrial environments and its applications within
the manufacturing field. While highlighting topics including
evolutionary algorithms, micro-machining, and artificial neural
networks, this book is ideally designed for researchers,
academicians, engineers, managers, developers, practitioners,
industrialists, and students seeking current research on
intelligence-based machining processes in today's technology-driven
market.
In engineering, there are often situations in which the material of
the main component is unable to sustain long life or protect itself
from adverse operating environments. Moreover, in some cases,
different material properties such as anti-friction and wear,
anti-corrosive, thermal resistive, super hydrophobic, etc. are
required as per the operating conditions. If those bulk components
are made of such materials and possess those properties, the cost
will be very high. In such cases, a practical solution is surface
coating, which serves as a protective barrier to the bulk material
from the adverse environment. In the last decade, with enormous
effort, researchers and scientists have developed suitable
materials to overcome those unfavorable operating conditions, and
they have used advanced deposition techniques to enhance the
adhesion and surface texturing of the coatings. Advanced Surface
Coating Techniques for Modern Industrial Applications is a highly
sought reference source that compiles the recent research trends in
these new and emerging surface coating materials, deposition
techniques, properties of coated materials, and their applications
in various engineering and industrial fields. The book particularly
focuses on 1) coating materials including anti-corrosive materials
and nanomaterials, 2) coating methods including thermal spray and
electroless disposition, and 3) applications such as surface
engineering and thin film application. The book is ideal for
engineers, scientists, researchers, academicians, and students
working in fields like material science, mechanical engineering,
tribology, chemical and corrosion science, bio-medical engineering,
biomaterials, and aerospace engineering.
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