Fundamentals of MATLAB for Chemical Process Modeling (MATLAB Fundamentals) - Softcover

Inhaltsangabe

Step into a modern chemical plant’s control room and you’ll hear one language spoken everywhere: MATLAB. Whether you’re scaling up a catalytic reactor, debugging a distillation column, or reconciling plant data at 3 a.m., the difference between “it works” and “shutdown” lies in how quickly you can turn equations into robust code. This comprehensive textbook hands you that power—chapter by chapter, equation by equation, line by line.

• End‑to‑End Numerical Workflows – From linear algebra, nonlinear solvers, and stiff ODE integration to finite‑volume PDE schemes, every algorithm is demonstrated with clean, copy‑and‑paste MATLAB scripts.
• Thermodynamics & Phase Equilibria – Cubic equations of state, activity‑coefficient models, flash calculations, and phase‑split stability tests, all wrapped in reusable functions.
• Reaction Engineering Mastery – Batch, CSTR, and PFR models with energy balances, heat of reaction calculations, and sensitivity analysis for kinetic parameters.
• Transport Phenomena in Code – Conduction, convection–diffusion, mass transfer coefficients, and CFD‑ready discretizations built from first principles.
• Optimization & Data Reconciliation – Linear, quadratic, and nonlinear programming solved with MATLAB’s powerhouse toolset, plus statistical techniques to turn noisy plant data into actionable insights.
• Scale‑Up & Dimensional Analysis – Harness similarity rules and dimensionless groups to migrate lab results to pilot and full‑scale units.

• Senior undergraduates & graduate students aiming to dominate process simulation courses.
• Practicing engineers craving a one‑stop numerical arsenal to cut weeks off project timelines.
• Researchers who need transparent, editable code instead of black‑box software.

• 99 Focused Chapters – Each dedicated to a single modeling cornerstone, allowing lightning‑fast lookup.
• Full MATLAB Code – Ready to run, fully commented, and easily extended to your specific plant or research problem.
• Rigorous Yet Accessible – Every derivation is paired with concise explanations and real‑world chemical engineering context.

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