
Explore the ideal solution concept, where A and B interact similarly, yielding densities, boiling points, vapor pressures, and no heat exchange as predicted by ideal mixing.
Explore vapor liquid equilibrium for a pure substance, showing how temperature and pressure dictate vapor pressure and how liquid and vapor compositions relate at equilibrium for prediction.
Solve problems on volatility at 1 atm, comparing ease of separation for nonpolar substances using vapor pressure and liquefaction temperatures, with examples like methyl chloride, fluorobenzene, butane, and methyl acetate.
Identify relative volatility in a binary mixture by comparing P_A / X_A and P_B / X_B; define alpha as their ratio and explain how alpha drives separation and equilibrium.
Analyze the Gibbs phase rule and two-component phase diagrams to understand vapor–liquid equilibrium, degrees of freedom, and how temperature, pressure, and composition fix the system.
Identify the bubble point as the temperature of the first bubble forming in a mixture or pure substance on a constant-pressure T-X-Y diagram, with composition shifting this point.
Analyze the benzene-toluene t-x-y diagram to trace liquid and vapor phases from bubble point to dew point, illustrating constant-liquid distillation and vle concepts at one atmosphere.
Identify points a, b, and c on the t x y diagram, note their compositions and temperatures, classify the mixture, and determine the dew point and pressure at 60 Celsius.
Explore the ideal solution and ideal gas case where A and B do not interact, applying simple mixing rules and establishing equilibrium between liquid and gas phases.
Explore non-ideal solutions where ideal models fail, illustrated by ethanol–water deviations and non-additive volumes; learn how activity coefficients and deviations model real solutions.
Henry’s law models partial pressure in diluted solutions using a species-specific constant, relating to mole fractions and total pressure, and guiding H values data for each species.
Explore Henry's law for gas solubility by calculating CO2 in water at zero Celsius under one and three atmospheres, using molar fractions, Henry's constants, and a near linear pressure relationship.
Explore deviations from the ideal straight-line behavior of solutions using activity coefficients to explain positive and negative deviations, azeotropic formation, and their impact on total and partial pressures.
Identify and classify azeotropes across several systems, determine maximum or minimum boiling types, and compute their composition, temperature, and pressure from the data.
Explore Aspen Plus, the living chemical process simulator to build models and simulate complex calculations, maximize profit, and enable engineering collaboration with time-saving workflows.
Explore how time drives batch distillation, impacting purity, product yield, and utilities as compositions evolve. See how temperature, pressure, and flow adapt with time to optimize distillate quality.
Explore why batch distillation suits small-volume production, offering flexibility, multipurpose equipment, precise temperature and pressure control, and clear batch traceability for product integrity.
Explore simple differential distillation in batch processes for a two-component system (A and B) where A is more volatile. Demonstrate how adding stages increases purity but reduces distillate yield.
Solve the Rayleigh equation for batch distillation using graphical and analytical methods, linking x and y through the equilibrium curve and applying material balances to find average composition and distillate.
Demonstrate a simple batch distillation of a binary mixture using the Rayleigh equation and an equilibrium expression. Determine the remaining feed moles W and distillate parameters L1, L2, x_f, x_w.
Explore the McCabe–Thiele method for batch distillation through a graphical xy diagram, identifying the minimum number of stages using equilibrium and operation lines, and distinguishing trays from stages.
Learn the graphical method for batch distillation with constant reflux using x-y diagrams and equilibrium data. Apply total and component balances and use area calculations to determine distillate composition.
Introduction:
Batch Distillation is one of the most important Mass Transfer Operations used extensively in the Chemical industry.
It is also one of the most important processes to learn in Mass Transfer / Separation Process Technologies as it is a fundamental unit operation.
Batch distillation is still one of the processes used in order to purify important species.
We will cover:
REVIEW: Of Mass Transfer Basics (Equilibrium VLE Diagrams, Volatility, Raoult's Law, Azeotropes, etc..)
Batch Distillation Theory - Concepts and Principles
Material and Energy Balances for Batch Systems
Application of Distillation in the Industry
Equipment for Batch Systems such as Batch Distillators
Design & Operation of Batch Distillation Systems
Adiabatic and Isothermal Operation
Time relationships in Batch Systems
Animations and Software Simulation for Batch Distillation Systems (ASPEN PLUS/HYSYS)
Theory + Solved Problem Approach:
All theory is taught and backed with exercises, solved problems, and proposed problems for homework/individual study.
At the end of the course:
You will be able to understand mass transfer mechanism and processes behind Flash Distillation.
You will be able to continue with Batch Distillation, Fractional Distillation, Continuous Distillation and further courses such as Multi-Component Distillation, Reactive Distillation and Azeotropic Distillation.
About your instructor:
I majored in Chemical Engineering with a minor in Industrial Engineering back in 2012.
I worked as a Process Design/Operation Engineer in INEOS Koln, mostly on the petrochemical area relating to naphtha treating.
There I designed and modeled several processes relating separation of isopentane/pentane mixtures, catalytic reactors and separation processes such as distillation columns, flash separation devices and transportation of tank-trucks of product.