Computational Methods for Process Simulation

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    Computational Methods for Process Simulation, W. Fred Ramirez

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    ELSEVIER SALE - ALL SCIENCE AND TECHNOLOGY BOOKS 50% OFF - ONE WEEK ONLYProcessModelling and simulation have proved to be extremely successful engineering tools for the designand optimisation of physical, chemical and biochemical processes. The use of simulation hasexpanded rapidly over the last two decades because of the availability of large high-speedcomputers and indeed has become even more widespread with the rise of the desk-top PCresources now available to nearly every engineer and student. In the chemical industry large,realistic non-linear problems are routinely solved with the aid of computer simulation. This has anumber of benefits, including easy assessment of the economic desirability of a project, convenientinvestigation of the effects of changes to system variables, and finally the introduction ofmathematical rigour into the design process and inherent assumptions that may not have beenthere before.'Computational Methods for Process Simulation' develops the methods needed for thesimulation of real processes to be found in the process industries. It also stresses the engineeringfundamentals used in developing process models. Steady state and dynamic systems areconsidered, for both spatially lumped and spatially distributed problems. It develops analytical andnumerical computational techniques for algebraic, ordinary and partial differential equations, andmakes use of computer software routines that are widely available. Dedicated software examplesare available via the internet.Written for a compulsory course element in the USIncludes examplesusing software used in academia and industrySoftware available via the Internet

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    A Numerical Primer for the Chemical Engineer , Edwin Zondervan, Aug 12, 2014, Mathematics, 193pages. Solve Developed Models in a Numerical Fashion Designed as an introduction to numericalmethods for students, A Numerical Primer for the Chemical Engineer explores the role of.

    Formulation and optimization of mathematical models , Cecil L. Smith, Ralph W. Pike, Paul W.Murrill, 1970, Technology & Engineering, 581 pages. .

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