Pharmaceutical Engineering: A Primer for Advanced Process Development provides a comprehensive, engineering-focused description of pharmaceutical dosage form process development and manufacturing. This volume introduces the most commonly used manufacturing processes for pharmaceutical dosage forms and addresses critical formulation and process parameters that influence drug product process performance and product quality.This is supplemented with detailed descriptions of engineering models as well as tools that can be used to support their development and verification (such as process analytical technology (PAT)) as well as the appropriate utilization of process and equipment knowledge. Typical scale-up challenges inspired by real industrial examples will be presented as well as a review of the latest correlations, theories and models that can form the basis for science-based scale-ups and transfers.
Industrial Water Conservation: Systematic Design Tools and Case Studies offers fundamental knowledge of various established process integration tools for water conservation, including water pinch analysis and mathematical programming techniques. The book provides a demonstration of water conservation tools on various industrial case studies, enabling readers to learn how these methods can be implemented in actual industrial settings. Part A provides various systematic methods on water recovery system design based on process integration techniques, whereas Part B provides various industrial case studies covering the success stories of the implementation of the methods covered in Part A.This is an indispensable resource for practitioners in various industrial sectors – chemicals and petrochemicals, pulp and paper, food and beverage, textile, etc., consultants in water-related industries, as well as (post)-graduate students in chemical engineering.
Artificial Intelligence in Chemical Engineering explores the integration of artificial intelligence (AI) into various facets of chemical engineering. The book introduces historical information, highlights current state and trends in AI applications, and discusses challenges and opportunities within the field. Foundational principles of AI and machine learning are thoroughly covered, giving readers a solid understanding of basic AI principles, machine learning algorithms, and the crucial processes of model training and validation. The book then delves into the critical phase of data acquisition and preprocessing for AI models, addressing strategies for data collection, ensuring data quality, and techniques for feature engineering and selection.Subsequent chapters cover a wide spectrum of AI applications in chemical engineering. From supervised and unsupervised learning for process modeling to the advanced realm of deep learning applications, this book explores neural networks, convolutional and recurrent architectures, and their real-world applications in process optimization and analysis.
Progress in Hydrogen Production via Sonolysis Processes highlights recent developments in numerical and experimental hydrogen production by ultrasound (sonolysis). The book serves as a comprehensive and quick reference with a high-level historical review of the technology, detailed technical descriptions, and the latest experimental and numerical achievements. It reviews hydrogen production technologies, sonolysis, and ultrasound-assisted processes and examines numerical acoustic cavitation (bubble sonochemistry) for hydrogen sono-production. Other sections cover cutting-edge computational research and its benefits for understanding multiple issues related to the use of ultrasound as an innovative clean technology for hydrogen production.Issues covered range from the mechanism of sonochemical production, the factors and phenomena that influence it, intensification techniques, and the active bubble population (number and size) in sonicated water.
Micro Chemical Engineering and Technology focuses on the development, basic principles, characteristics, and advantages of micro chemical technology. The book summarizes the basic laws of micro-scale single-phase flow, the micro-scale mixing process, and the enhancement of micro-scale mixing performance. It introduces gas-liquid, liquid-liquid, and gas-liquid-liquid micro-dispersion equipment and dispersion law, micro-scale heat/mass transfer performance, as well as homogeneous and heterogeneous micro-scale reactions, micro-scale absorption, extraction, and reaction processes enhancement technology.For the application of micro chemical technology in the area of material interpretation, nano material preparation technology, fiber material preparation technology and special structure material preparation technology are introduced. Final content describes typical cases of industrial applications of gas-liquid absorption micro chemical equipment, liquid-liquid extraction micro chemical equipment, and chemical synthesis micro chemical equipment.
Sono-Hybrid Advanced Oxidation Processes for Water and Wastewater Treatment presents the latest technological advances research in sono-hybrid advanced oxidation processes (AOPs), including an array of cutting-edge water treatments with depth analysis of mechanisms, viable applications, and the advantages and disadvantages of each processes. The book expands on, and illustrates, the principles and consequences of ultrasonic irradiation in liquids, which is an essential component in understanding the degradation mechanisms in sono-hybrid AOPs. This will be a valuable and effective reference for students, researchers, academics, and professionals working in water and wastewater treatment.
Machine Learning Tools for Chemical Engineering: Methodologies and Applications examines how machine learning (ML) techniques are applied in the field, offering precise, fast, and flexible solutions to address specific challenges.ML techniques and methodologies offer significant advantages (such as accuracy, speed of execution, and flexibility) over traditional modeling and optimization techniques. This book integrates ML techniques to solve problems inherent to chemical engineering, providing practical tools and a theoretical framework combining knowledge modeling, representation, and management, tailored to the chemical engineering field. It provides a precedent for applied Al, but one that goes beyond purely data-centric ML. It is firmly grounded in the philosophies of knowledge modeling, knowledge representation, search and inference, and knowledge extraction and management.Aimed at graduate students, researchers, educators, and industry professionals, this book is an essential resource for those seeking to implement ML in chemical processes, aiming to foster optimization and innovation in the sector.
High Integrity Systems and Safety Management in Hazardous Industries, Second Edition serves as an overview of best practices as applied to high integrity systems, including their design, maintenance, regulation, and detailed guidance surrounding safety management processes. Across three parts, this book introduces current, key themes for all engineering managers of high-hazard plants, including aging plants, cybersecurity, crisis management, corporate social responsibility, and the significance of local culture to operational safety.This book uses real-world examples and a multidisciplinary approach to safety case management to bridge the disciplinary gap and help readers understand the latest advice and technology underpinning high integrity systems and safety management. It will be an invaluable guide for industry professionals, researchers, and students at graduate level or above working or researching in hazardous industries.
Microinterfacial Mass Transfer Intensification provides new and updated technical information, along with basic theory. The book covers several representative industrial application cases and can be used as a reference for scholars, engineers, students, and technicians in oil refining, petrochemical, fine chemical, coal chemical, chemical and biochemical pharmacy, food processing, waste gas and wastewater treatment, and other pan-chemical manufacturing.
Advances in Process Control with Real Applications presents various advanced controllers, including the formulation, design, and implementation of various advanced control strategies for a wide variety of processes. These strategies include generalized predictive control with and without constraints; linear and nonlinear model predictive control; dynamic matrix control; nonlinear control, such as generic model control, globally linearizing control, and nonlinear internal model control; optimal and optimizing control; inferential control; intelligent control based on fuzzy reasoning and neural networks; and controllers based on stochastic and evolutionary optimization.This book will be highly beneficial to students, researchers, and industry professionals working in process design, process monitoring, process systems engineering, process operations and control, and related areas.