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Applied Numerical Methods for Chemical Engineers
Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, differentiation and integration, ordinary differential equations, boundary value problems, partial differential equations, and linear and nonlinear regression analysis. MATLAB is adopted as the calculation environment throughout the book because of its ability to perform all the calculations in matrix form, its large library...
Coupled CFD-DEM Modeling
Discusses the CFD-DEM method of modeling which combines both the Discrete Element Method and Computational Fluid Dynamics to simulate fluid-particle interactions. Deals with both theoretical and practical concepts of CFD-DEM, its numerical implementation accompanied by a hands-on numerical code in FORTRAN Gives examples of industrial applications
Numerical Methods for Chemical Engineers with MATLAB Applications
Master numerical methods using MATLAB, today's leading software for problem solving. This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment. Every chapter contains several examples using general MATLAB functions that implement the method and can also be applied to many other problems in the same category. The authors begin by introducing the solution of nonlinear equations using several standard approaches, including methods of successive substitution and linear interpolation; the Wegstein method, the Newton-Raphson method; the Eigenvalue method; and synthetic division algorithms. With these fundamenta...
Scale-Up Processes
Common scale-up methods are conventional where the blind piloting is essential. This imposes huge investment and leads to failures mostly in solid processing. However, the limitations of resources, current shortcomings, short time-to-market demand are forced companies to minimize piloting. With these situations in mind, current digitalization outlook and computational facilities, we proposed and developed a novel iterative scale up method with case studies which highly expedites the process innovation through the following key sequences:
Advances in Multiphase Flow and Heat Transfer
"Multiphase flow and heat transfer have found a wide range of applications in several engineering and science fields such as mechanical engineering, chemical and petrochemical engineering, nuclear engineering, energy engineering, material engineering, ocea"
Pseudocereals
Pseudocereals: Production, Processing, and Nutrition provides an overview of the chemistry, processing, and technology of pseudocereals which have become super grains. The cultivation of pseudocereals has spread to over 70 different countries due to their attractive nutritional properties and for food security. This book discusses necessary information on different pseudocereals as well as practical information on cultivation procedures, equipment, food processing using pseudocereals and the use of by-products for bioactive compound extraction. It addresses concerns regarding globalization, food security, climate change and the needs of underdeveloped or developing countries. Key Features: Covers both common as well as less exploited pseudocereals Explains the grain structure and engineering properties of different pseudocereals Studies the effect of food processing on the bioactivity and nutritional value of pseudocereals and their products
11th International Symposium on Process Systems Engineering - PSE2012
While the PSE community continues its focus on understanding, synthesizing, modeling, designing, simulating, analyzing, diagnosing, operating, controlling, managing, and optimizing a host of chemical and related industries using the systems approach, the boundaries of PSE research have expanded considerably over the years. While early PSE research was largely concerned with individual units and plants, the current research spans wide ranges of scales in size (molecules to processing units to plants to global multinational enterprises to global supply chain networks; biological cells to ecological webs) and time (instantaneous molecular interactions to months of plant operation to years of st...
Practical Data Analysis in Chemistry
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spre...
