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Computer Modeling for Injection Molding
This book covers a wide range of applications and uses of simulation and modeling techniques in polymer injection molding, filling a noticeable gap in the literature of design, manufacturing, and the use of plastics injection molding. The authors help readers solve problems in the advanced control, simulation, monitoring, and optimization of injection molding processes. The book provides a tool for researchers and engineers to calculate the mold filling, optimization of processing control, and quality estimation before prototype molding.
Injection Molding Process Control, Monitoring, and Optimization
Improvement of injection molding processes remains a topic of great interest in both industry and research institutions. This book introduces the analysis of the molding process from a systems technology point of view. It is divided into four parts: the first part provides general background to introduce the injection molding process, the second covers the control of the process, the third is on the monitoring technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and experimental tests.
Essays on Item Response Theory
This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
Multivariate Statistical Process Control
Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for ...
Tumor Microenvironment and Cancer Therapy
It is well established that the tumor microenvironment(TME) plays a pivotal role in tumor initiation, progression and therapeutic resistance by creating a dynamic interaction with cancer cells. TME is comprised of extracellular matrix (ECM), growth factors, nutrients, blood and lymphatic vessels, and non-cancer stromal cells, which serve as a sustained niche for cancer cells to proliferate and metastasize. Notably, various cellular components in TME, including endothelial cells, fibroblasts, pericytes, adipocytes, immune cells, cancer stem cells, and vasculature, could promote tumor’s immune evasion and growth.
Rainbow
Rainbow is presented in the form of novel to show the social reality, national changes, and political situations in China over the last century. The novel basically encompasses all political movements in the second half of the twentieth century, describes more than two hundred named characters and a considerable number of nameless but vivid characters, and lets readers enjoy reading the folk customs, chess cards traditions, medical development, culture, and education as well as erotic sensuality. It is a huge project.
Relay Tuning of PID Controllers
This book presents comprehensive information on the relay auto-tuning method for unstable systems in process control industries, and introduces a new, refined Ziegler-Nichols method for designing controllers for unstable systems. The relay auto-tuning method is intended to assist graduate students in chemical, electrical, electronics and instrumentation engineering who are engaged in advanced process control. The book’s main focus is on developing a controller tuning method for scalar and multivariable systems, particularly for unstable processes. It proposes a much simpler technique, avoiding the shortcomings of the popular relay-tuning method. The effects of higher-order harmonics are in...
Fluid Flow in Fractured Porous Media
The fluid flow in fracture porous media plays a significant role in the assessment of deep underground reservoirs, such as through CO2 sequestration, enhanced oil recovery, and geothermal energy development. Many methods have been employed—from laboratory experimentation to theoretical analysis and numerical simulations—and allowed for many useful conclusions. This Special Issue aims to report on the current advances related to this topic. This collection of 58 papers represents a wide variety of topics, including on granite permeability investigation, grouting, coal mining, roadway, and concrete, to name but a few. We sincerely hope that the papers published in this Special Issue will be an invaluable resource for our readers.
Industrial Process Identification
Industrial Process Identification brings together the latest advances in perturbation signal design. It describes the approaches to the design process that are relevant to industries. The authors’ discussion of several software packages (Frequency Domain System Identification Toolbox, prs, GALOIS, multilev_new, and Input-Signal-Creator) will allow readers to understand the different designs in industries and begin designing common classes of signals. The authors include two case studies that provide a balance between the theory and practice of these designs: the identification of a direction-dependent electronic nose system; and the identification of a multivariable cooling system with tim...
