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The manufacturing system is going through substantial changes and
developments in light of Industry 4.0. Newer manufacturing
technologies are being developed and applied. There is a need to
optimize these techniques when applied in different circumstances
with respect to materials, tools, product configurations, and
process parameters. This book covers computational intelligence
applied to manufacturing. It discusses nature-inspired optimization
of processes and their design and development in manufacturing
systems. It explores all manufacturing processes, at both macro and
micro levels, and offers manufacturing philosophies.
Nonconventional manufacturing, real industry problems and case
studies, research on generative processes, and relevance of all
this to Industry 4.0 is also included. Researchers, students,
academicians, and industry professionals will find this reference
title very useful.
Automotive and aerospace components, utensils, and many other
products are manufactured by a forming/drawing process on press
machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative
to study the effect of all involved parameters on output of this
type of manufacturing process. This book offers the readers with
application and suitability of various evolutionary, swarm, and
bio-inspired optimization algorithms for sheet metal forming
processes. Book initiates by presenting basics of metal forming,
formability followed by discussion of process parameters in detail,
prominent modes of failure, basics of optimization and various
bioinspired approaches followed by optimization studies on various
industrial components applying bioinspired optimization algorithms.
Key Features: * Focus on description of basic investigation of
metal forming, as well as evolutionary optimization * Presentation
of innovative optimization methodologies to close the gap between
those formulations and industrial problems, aimed at industrial
professionals * Includes mathematical modeling of drawing/forming
process * Discusses key performance parameters, such as Thinning,
Fracture, and Wrinkling * Includes both numerical and experimental
analysis
Automotive and aerospace components, utensils, and many other
products are manufactured by a forming/drawing process on press
machines of very thin sheet metal, 0.8 to 1.2 mm. It is imperative
to study the effect of all involved parameters on output of this
type of manufacturing process. This book offers the readers with
application and suitability of various evolutionary, swarm, and
bio-inspired optimization algorithms for sheet metal forming
processes. Book initiates by presenting basics of metal forming,
formability followed by discussion of process parameters in detail,
prominent modes of failure, basics of optimization and various
bioinspired approaches followed by optimization studies on various
industrial components applying bioinspired optimization algorithms.
Key Features: * Focus on description of basic investigation of
metal forming, as well as evolutionary optimization * Presentation
of innovative optimization methodologies to close the gap between
those formulations and industrial problems, aimed at industrial
professionals * Includes mathematical modeling of drawing/forming
process * Discusses key performance parameters, such as Thinning,
Fracture, and Wrinkling * Includes both numerical and experimental
analysis
Computational Intelligence in Manufacturing addresses applications
of AI, machine learning and other innovative computational
techniques across the manufacturing supply chain. The rapid
development of smart or digital manufacturing known as Industry 4.0
has swiftly provided a large number of opportunities for product
and manufacturing process improvement. Selecting the appropriate
technologies and combining them successfully is a challenge this
book helps readers overcome . It explains how to prepare different
manufacturing cells for flexibility and enhanced productivity with
better supply chain management, e.g., calibrating design machine
tools for automation and agility. Computational intelligence
applications for non-conventional manufacturing processes such as
ECM and EDM are covered alongside recent advances in traditional
processes like casting, welding and metal forming. As well as
describing specific applications, this practical guide also
explains the computational intelligence paradigm for enhanced
supply chain management.
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