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Teach Yourself the Basics of Aspen Plus
The complete step-by-step guide to mastering the basics of Aspen Plus software Used for a wide variety of important scientific tasks, Aspen Plus software is a modeling tool used for conceptual design, optimization, and performance monitoring of chemical processes. After more than twenty years, it remains one of the most popular and powerful chemical engineering programs used both industrially and academically. Teach Yourself the Basics of Aspen Plus, Second Edition continues to deliver important fundamentals on using Aspen Plus software. The new edition focuses on the newest version of Aspen Plus and covers the newest functionalities. Lecture-style chapters set the tone for maximizing the le...
Teach Yourself the Basics of Aspen Plus
Aspen Plus is on of the most popular process simulation software programs used industrially and academically. Though the software is available at many corporations and universities, there are no textbooks which are dedicated to teaching the step-by-step use of the software. This book is designed to fill that need. The structure of the book is unique in that it emulates a lecture /workshop classroom environment. Each chapter starts with the equivalent of a classroom lecture followed by workshops which provide experience in the chapter's subject matter. The enclosed CD contains solutions, both in Aspen Plus and text formats, to examples imbedded in the text as well as to all the workshops. There are also notes at the end of each chapter designed to aid readers that have difficulty with the workshops. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Energetic Materials
This book will take an in-depth look at the technologies, processes, and capabilities to develop and produce "next generation" energetic materials for both commercial and defense applications, including military, mining operations, oil production and well perforation, and construction demolition. It will serve to highlight the critical technologies, latest developments, and the current capability gaps that serve as barriers to military fielding or transition to the commercial marketplace. It will also explain how the processing technologies can be spun out for use in other non-energetics related industries.
Data-Driven Evolutionary Modeling in Materials Technology
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. ...
