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Convex Optimization for Signal Processing and Communications: From
Fundamentals to Applications provides fundamental background
knowledge of convex optimization, while striking a balance between
mathematical theory and applications in signal processing and
communications. In addition to comprehensive proofs and perspective
interpretations for core convex optimization theory, this book also
provides many insightful figures, remarks, illustrative examples,
and guided journeys from theory to cutting-edge research
explorations, for efficient and in-depth learning, especially for
engineering students and professionals. With the powerful convex
optimization theory and tools, this book provides you with a new
degree of freedom and the capability of solving challenging
real-world scientific and engineering problems.
This practical introductory guide to injection molding simulation
is aimed at both practicing engineers and students. It will help
the reader to innovate and improve part design and molding
processes, essential for efficient manufacturing. A user-friendly,
case-study-based approach is applied, enhanced by many
illustrations in full color. The book is conceptually divided into
three parts: Chapters 1–5 introduce the fundamentals of injection
molding, focusing the factors governing molding quality and how
molding simulation methodology is developed. As they are essential
to molding quality, the rheological, thermodynamic, thermal,
mechanical, kinetic properties of plastics are fully elaborated in
this part, as well as curing kinetics for thermoset plastics.
Chapters 6–11 introduce CAE verification of design, a valuable
tool for both part and mold designers toward avoiding molding
problems in the design stage and to solve issues encountered in
injection molding. This part covers design guidelines of part,
gating, runner, and cooling channel systems. Temperature control in
hot runner systems, prediction and control of warpage, and fiber
orientation are also discussed. Chapters 12–17 introduce research
and development in innovative molding, illustrating how CAE is
applied to advanced molding techniques, including co-/bi-Injection
molding, gas-/water-assisted injection molding, foam injection
molding, powder injection molding, resin transfer molding, and
integrated circuit packaging. The authors come from the creative
simulation team at CoreTech System (Moldex3D), winner of the PPS
James L. White Innovation Award 2015. Several CAE case study
exercises for execution in the Moldex3D software are included to
allow readers to practice what they have learned and test their
understanding. Includes access to the e-book.
This practical introductory guide to injection molding simulation
is aimed at both practicing engineers and students. It will help
the reader to innovate and improve part design and molding
processes, essential for efficient manufacturing. A user-friendly,
case-study-based approach is applied, enhanced by many
illustrations in full color. The book is conceptually divided into
three parts: Chapters 1-5 introduce the fundamentals of injection
molding, focusing the factors governing molding quality and how
molding simulation methodology is developed. As they are essential
to molding quality, the rheological, thermodynamic, thermal,
mechanical, kinetic properties of plastics are fully elaborated in
this part, as well as curing kinetics for thermoset plastics.
Chapters 6-11 introduce CAE verification of design, a valuable tool
for both part and mold designers toward avoiding molding problems
in the design stage and to solve issues encountered in injection
molding. This part covers design guidelines of part, gating,
runner, and cooling channel systems. Temperature control in hot
runner systems, prediction and control of warpage, and fiber
orientation are also discussed. Chapters 12-17 introduce research
and development in innovative molding, illustrating how CAE is
applied to advanced molding techniques, including co-/bi-Injection
molding, gas-/water-assisted injection molding, foam injection
molding, powder injection molding, resin transfer molding, and
integrated circuit packaging. The authors come from the creative
simulation team at CoreTech System (Moldex3D), winner of the PPS
James L. White Innovation Award 2015. Several CAE case study
exercises for execution in the Moldex3D software are included to
allow readers to practice what they have learned and test their
understanding. In the 2nd edition, the concept of Cyber-Physical
Systems (CPS) in injection molding is introduced. In order to
integrate molding simulation and injection machines, the workflow
of machine response characterization is illustrated. By taking into
account the real-world machine response, users can more accurately
reflect the real-world manufacturing conditions in simulations. The
optimized processing conditions obtained from the simulation can
then be directly applied on the shop floor, bridging the gap
between simulation and manufacturing. In addition, a new flow-fiber
coupling model, i.e., the informed-isotropic (IISO) viscosity
developed by Dr. Favaloro and Prof. Pipes of Purdue University, to
simulate the anisotropic flow for fiber-reinforced thermoplastics
is introduced. The IISO coupling is available to simulate some
peculiar, irregular filling patterns for fiber-reinforced melts at
high fiber concentrations: the free surface advances faster along
the side cavity walls.
Convex Optimization for Signal Processing and Communications: From
Fundamentals to Applications provides fundamental background
knowledge of convex optimization, while striking a balance between
mathematical theory and applications in signal processing and
communications. In addition to comprehensive proofs and perspective
interpretations for core convex optimization theory, this book also
provides many insightful figures, remarks, illustrative examples,
and guided journeys from theory to cutting-edge research
explorations, for efficient and in-depth learning, especially for
engineering students and professionals. With the powerful convex
optimization theory and tools, this book provides you with a new
degree of freedom and the capability of solving challenging
real-world scientific and engineering problems.
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