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Learning objectives: 1 . Construct the model equations for the chemical engineering system. 2 . Use of suitable software to perform the numerical solution to

Learning objectives:
1. Construct the model equations for the chemical engineering system.
2. Use of suitable software to perform the numerical solution to a chemical engineering
problems.
v. Aim:
To develop a comprehensive process model for a selected chemical reaction and
simulate the reaction using MATLAB to understand system behavior under various
conditions.
vi. Task:
Step 1: Selection of the Chemical Reaction
1. Choose a Textbook: Select a suitable textbook that covers chemical reactions
typically used in chemical engineering. A good example could be "Chemical Reaction
Engineering" by Octave Levenspiel or "Elements of Chemical Reaction Engineering"
by H. Scott Fogler.
2. Select a Chemical Reaction: Pick a real chemical reaction from the textbook.
Examples might include the Haber process (ammonia synthesis), sulfuric acid
production, or esterification reactions.
3. Capture the Reaction: take a screenshot or note down the reaction equation, along
with any relevant details like reaction conditions and kinetics mentioned.
Step 2: Reactor Selection
1. Reactor Type Selection: Choose the most appropriate reactor type based on the
reaction dynamics. Options might include:
- Batch Reactor
- Continuous Stirred Tank Reactor (CSTR)
- Plug Flow Reactor (PFR)
- Packed Bed Reactor
2. Justification: Provide a rationale for the reactor choice, focusing on maximizing
reaction yield, controlling temperature, and handling any side reactions or phase
issues.
Step 3: Modeling the System
1. Develop Reaction Kinetics: Express the reaction rate(s) as a function of
concentration and temperature.
2. Mass, Mole and Energy Balances: Write down the mass, mole and energy balance
equations for the reactor considering steady-state or dynamic conditions as
applicable.
3. Incorporate Real-Life Constraints: Include factors such as heat transfer limitations,
pressure drops, and catalyst deactivation, if relevant.
Step 4: Simulation in MATLAB
1. MATLAB Setup: Outline the steps for setting up the model in MATLAB, including
initializing variables and setting up solvers.
2. Coding: Write MATLAB code to solve the balance equations. Use built-in functions
and solvers like `ode45` for differential equations.
3. Simulation Runs: Conduct simulations, if relevant, to observe:
- The effect of varying feed rates
- Temperature changes
- Pressure variations
- Catalyst effectiveness over time
Step 5: Results and Discussion
1. Present Simulation Data: Use plots and graphs to represent how the system
responds to different operational parameters.
2. Analysis: Discuss the stability, efficiency, and scalability of the reactor design based
on the simulation results.
Step 6: Conclusion
Summarize the key findings from the modeling and simulation work and suggest future
directions for research or industrial application.
Submission Requirements
1. Report: Compile the findings into a detailed report, including diagrams, reaction
details, MATLAB code, and outputs.

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