JNTUK B.Tech Computational Methods in Chemical Engineering gives you detail information of Computational Methods in Chemical Engineering R13 syllabus It will be help full to understand you complete curriculum of the year.
Learning Objectives: The students will be able to learn
- Classification of chemical engineering process simulation models based on mathematical approaches.
- To handle Software Packages such as EXCEL, MATLAB, FEM LAB to solve chemical engineering problems.
- How to analyse and interpret results provided by SOFTWARE modeling approaches.
- Solution dependence and sensitivity on process parameter specifications.
UNIT-I: Introduction: Algebraic equations-Process simulation- Differential equations. Review of numerical methods and their application in fluid flow, heat transfer, phase equilibria & mass transfer operations. Equations of state: Mathematical formulation –Solving equations of state using Excel & Solver- Solving equations of state using MATLAB with a few examples.
UNIT-II: Vapor liquid equilibrium: Flash and phase separation, Isothermal flash–Development of equations, Example using Excel, Thermodynamic parameters-Example using MATLAB, Non ideal Liquids–Test of thermodynamic model. Chemical reaction equilibrium: Chemical equilibrium expression- Example of Hydrogen for fuel cells, Solution using Excel & MATLAB; Chemical equilibria with two or more equations- Multiple Equations- Solutions Using MATLAB.
UNIT-III: Mass balances with recycle streams: Mathematical formulation-Example without recycle Example with recycle; Comparison of sequential and simultaneous solution methods- Example of process simulation using Excel for simple mass balances.
UNIT-IV: Mass transfer operations: Multi component distillation with shortcut methods-Multi component distillation with rigorous plate-to-plate methods- Packed bed absorption & Gas plant production separation.
UNIT-V: Chemical reactors: Mathematical formulation of reactor problems plug flow reactor and batch reactor, continuous stirred tank reactor-Using MATLAB to solve ordinary differential equations- Isothermal plug flow reactor, Non isothermal plug flow reactor- Using FEM LAB to solve ordinary differential equations- Isothermal plug flow reactor, Non isothermal plug flow reactor- Reactor problems with mole changes and variable density-Chemical reactors with mass transfer limitations- Continuous stirred tank reactors-Transient continuous stirred tank reactors.
UNIT-VI: Transport Processes in One Dimension: Applications in chemical engineering–Mathematical formulations- Flow of a Newtonian fluid in a pipe- Flow of a non-newtonian fluid in a pipe- Transient heat transfer- Linear adsorption. Fluid flow in two and three dimensions: Mathematical foundation of fluid flow- Entry flow in a pipe-Entry flow of a non-newtonian fluid-flow in microfluidic devices-Turbulent flow in a pipe-Start Up flow in a pipe-Flow through an orifice-Flow in a serpentine mixer-Boundary conditions-Non dimensionalization.
Outcomes
The students well trained in the computational methods of chemical engineering shall be able to do the following tasks:
- Identify suitable software package (EXCEL, MATLAB , FEM LAB etc., ) to solve a given chemical engineering modeling problem.
- Attain proficiency to write code and utilize tools available in various softwares to solve the given problem.
- Debug and troubleshoot code for the generation of solution.
- Interpretation of software based simulation results from prior chemical engineering knowledge.
- Parametric analysis and case studies for process system analysis.
Text Book
- Introduction to Chemical Engineering Computing, B.A. Finlayson, John Wiley & Sons.,Inc, 2006.
References Books
- Applied Mathematical Methods for Chemical Engineers, Norman W. Loney, 2nd Edition, Taylor & Francis, 2007.
- Mathematical Methods in Chemical Engineering, ArvindVerma, M. Morbidelli, Oxford University Press, 1997
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