Ramirez (chemical engineering, U. of Colorado) develops the computational methods needed for the simulation of real processes found in the chemical, petroleum, and biochemical industries, with emphasis on the engineering fundamentals used in developing process models. Annotation copyright Book News, Inc. Portland, Or.
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In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. 'Computational Methods for Process Simulation' develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the Internet.
Department of Chemical Engineering, University of Colorado
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