Chemical Engineering Assignment Help — Thermodynamics, Mass Transfer & Reaction Engineering
Chemical engineering sits at the intersection of physics, chemistry, mathematics, and process design. Whether you are battling a thermodynamics problem involving non-ideal phase equilibria, a mass transfer assignment built around packed-tower distillation, a reaction engineering question requiring CSTR-PFR optimisation, or a full process design simulation in Aspen Plus — our specialist ChE team delivers rigorous, fully-worked solutions on deadline.
PhD/MEng-level chemical engineering specialist matched to your exact topic
Full derivations and calculation workings — not just answers
Simulation files (Aspen Plus, HYSYS, MATLAB) where required
Lab reports, design reports, and problem sets all covered
Thermodynamics, transport phenomena, reaction engineering & more
Undergraduate through doctoral level — all universities
Why Chemical Engineering Assignments Defeat Even Brilliant Students — and What Subject-Expert Help Changes
Chemical engineering is routinely ranked among the most technically demanding undergraduate disciplines. It demands simultaneous fluency in calculus, differential equations, thermodynamics, chemistry, and numerical methods — and then asks you to apply all of them simultaneously to a single design problem. A distillation column assignment is not merely about McCabe-Thiele graphical construction: it requires understanding VLE behaviour, the non-ideal activity coefficient models that govern it, energy balance integration across stages, and the engineering trade-off between column height and diameter. Every layer of that problem is independently complex, and they all interact.
This is precisely why even capable students — those who understand the underlying chemistry and mathematics — routinely struggle with ChE assignments. The discipline demands not just conceptual understanding but the ability to navigate multi-step quantitative procedures with engineering precision, often under severe time pressure. A graduate student carrying four modules and a research project simply cannot devote the 15-20 hours that a comprehensive process design assignment deserves.
Our chemical engineering assignment help service closes that gap. Our specialists are not tutors explaining textbook examples — they are chemical engineers and researchers who solve these problems in professional or academic practice. When your assignment requires applying the Soave-Redlich-Kwong equation of state to predict vapour-liquid equilibrium for a multicomponent system, estimating mass transfer coefficients from the Onda correlation, or designing a plug flow reactor for a non-elementary reaction with temperature dependence, our team has done exactly that — and will produce working that explains every step clearly.
Multi-Domain Precision
ChE assignments span thermodynamics, transport, kinetics, and design simultaneously. Our specialists hold these domains together in a single solution — the way your examiner expects.
Simulation Software
Aspen Plus, HYSYS, CHEMCAD, MATLAB, Python — we build working simulation files alongside written reports, meeting assignments that require both computational and analytical deliverables.
Technical Reports
Engineering assignments require formal technical documentation. Our written reports use correct AIChE/IChemE conventions, proper uncertainty treatment, and engineering-grade figure and table presentation.
Thermodynamics Assignment Help: Equations of State, Phase Equilibria & Energy Analysis
Engineering thermodynamics underpins virtually every other sub-discipline of chemical engineering. From the steam tables used to analyse power cycles, to the equation of state models that describe vapour-liquid equilibrium in a distillation column, to the Gibbs energy minimisation framework used in reactive separations — thermodynamics is the intellectual foundation on which ChE process analysis is built. It is also, consistently, the subject where students first encounter the gap between theoretical understanding and the ability to execute quantitative analysis correctly.
Chemical engineering thermodynamics assignments at the undergraduate level test whether students can apply the first and second laws to open and closed systems, construct enthalpy-entropy diagrams, and use steam tables or refrigerant data for cycle analysis. At the graduate level, the same discipline becomes substantially more demanding: non-ideal thermodynamics, cubic equations of state, activity coefficient models (Margules, van Laar, Wilson, NRTL, UNIQUAC), phase diagrams for multicomponent systems, and the Gibbs phase rule applied to complex reactive systems all require genuine depth of expertise.
Our thermodynamics specialists cover the full chemical engineering thermodynamics curriculum. When your assignment requires applying the Peng-Robinson equation of state to calculate fugacity coefficients and construct a binary P-x-y diagram, our specialist knows why PR EOS outperforms SRK for heavier hydrocarbons, how to handle the three-root region near the critical point, and how to properly mix parameters for multicomponent systems using appropriate mixing rules. That context — applied thermodynamics expertise beyond formula application — is what separates A-grade work from C-grade work at the graduate level.
Thermodynamics assignment scope
- First and second law analysis for open and closed systems
- Equations of state: van der Waals, Peng-Robinson, SRK, BWR
- Fugacity and fugacity coefficients for real gases and mixtures
- Activity coefficient models: Margules, NRTL, UNIQUAC, Wilson
- Vapour-liquid, liquid-liquid, and solid-liquid equilibria
- Gibbs energy minimisation and chemical reaction equilibrium
- Exergy analysis and second-law efficiency
- Phase diagrams: P-x-y, T-x-y, ternary diagrams
Peng-Robinson Equation of State
b = 0.07780 RTc/Pc
α(T) = [1 + κ(1 – √(T/Tc))]²
κ = 0.37464 + 1.54226ω – 0.26992ω²
Most widely used cubic EOS for hydrocarbon VLE; better liquid density prediction than SRK
Fugacity Coefficient (EOS-based)
Z = compressibility factor (root of cubic EOS)
Phase equilibrium condition: ŷᵢφ̂ᵥᵢP = x̂ᵢφ̂ᴸᵢP
NRTL Activity Coefficient Model
α = non-randomness parameter (0.2–0.47)
Superior to Wilson for LLE and partially miscible systems
See: NIST TDE Database for fitted parameters
Mass Transfer Assignment Help: Distillation, Absorption, Extraction & Membrane Separation
Fick’s Law of Diffusion (Binary, Unidirectional)
D_AB = binary diffusivity (m²/s)
y_A = mole fraction of A
For diffusion of A through stagnant B (N_B = 0):
N_A = cD_AB/z · ln[(1-y_A2)/(1-y_A1)]
Overall Gas-Phase Mass Transfer (HTU-NTU)
N_OG = ∫dy/(y-y*) = Number of Transfer Units
K_ya = overall volumetric mass transfer coeff
1/K_ya = 1/k_ya + m/k_xa (two-film theory)
McCabe-Thiele — Minimum Reflux (Underwood)
θ = Underwood root (between α of key components)
q = feed thermal condition parameter
Applies to multicomponent distillation with constant relative volatility
Mass transfer is the discipline that describes how chemical species move from one phase to another — from vapour to liquid in a distillation column, from liquid to gas in an air stripping unit, from aqueous to organic phase in solvent extraction, or across a membrane in reverse osmosis. It is the quantitative heart of separation process design, and it is also one of the most conceptually layered topics in the chemical engineering curriculum, requiring simultaneous understanding of molecular diffusion, interfacial mass transfer, and equipment performance correlations.
Mass transfer assignments range from basic diffusivity calculations using Chapman-Enskog or Wilke-Chang correlations, through two-film theory and overall transfer unit analysis for gas-liquid absorption, to full stagewise distillation design using McCabe-Thiele graphical methods or the more rigorous Fenske-Underwood-Gilliland shortcut method for multicomponent systems. For graduate-level assignments, the analysis extends to rate-based distillation modelling, extraction equilibria, and the design of novel membrane contactors and reactive distillation systems.
Our mass transfer specialists understand that getting the right answer in a distillation design problem requires correctly specifying the operating line, properly locating the feed tray using the q-line, accurately applying the Murphree tray efficiency, and bridging the theoretical stage count to actual tray count. These are precisely the steps where student work goes wrong — not in the conceptual understanding, but in the procedural execution of a multi-step engineering analysis. We show every step so the methodology is as instructive as the result.
- Molecular diffusivity estimation: Chapman-Enskog, Wilke-Chang
- Two-film theory and resistance-in-series models
- HTU-NTU method for packed column design
- McCabe-Thiele binary distillation — stages, reflux, feed tray
- Fenske-Underwood-Gilliland for multicomponent distillation
- Liquid-liquid extraction: Hunter-Nash, stage calculations
- Adsorption and ion exchange design
- Membrane separation: permeability, selectivity, module design
Reaction Engineering Assignment Help: Reactor Design, Kinetics & Non-Ideal Flow
Chemical reaction engineering combines reaction kinetics, thermodynamics, and transport phenomena to design and optimise chemical reactors. It is the defining core discipline of chemical engineering — and the one most likely to appear in high-stakes assessments that integrate knowledge from the entire curriculum. A reactor design assignment is not complete with just the mole balance: it requires an energy balance, a pressure drop equation, a kinetic rate law with temperature dependence, and possibly a fluid dynamics analysis of residence time distribution for non-ideal reactors.
At the undergraduate level, reaction engineering assignments focus on the ideal reactor models — batch, CSTR, and PFR — and the comparison of sizing requirements for different reactor configurations. Students learn to integrate the design equation for complex rate laws, apply the Damköhler number, and use the Levenspiel plot to visualise sizing trade-offs. At the graduate level, the analysis extends to non-ideal flow through residence time distribution (RTD) theory, dispersion models, tanks-in-series models, heterogeneous catalytic reactor design (packed bed reactors with internal and external mass transfer limitations), and multiphase reactor systems.
Our reaction engineering specialists handle the full scope of Fogler- and Levenspiel-level coursework. When your assignment requires applying the Weisz-Prater criterion to determine whether internal mass transfer limits your catalytic reactor, or deriving the effectiveness factor for a non-isothermal pellet with a Thiele modulus in the intermediate regime, or using the tanks-in-series model to predict conversion in a real reactor with known RTD — our specialist will produce a methodical, fully-annotated solution.
Common reaction engineering errors our specialists avoid
- Applying ideal reactor equations without checking the assumption of perfect mixing or plug flow
- Neglecting the energy balance for non-isothermal reactors
- Using concentration-based rate laws instead of partial pressure forms for gas-phase reactions
- Ignoring pressure drop in packed bed reactors (Ergun equation)
- Applying Arrhenius equation without proper dimensional consistency
CSTR Design Equation (Mole Balance)
F_A0 = molar feed rate of A (mol/s)
X = conversion of A
-r_A = rate of disappearance of A (mol/m³·s), evaluated at exit conditions
PFR Design Equation
Numerical integration required for complex kinetics or T-dependent rate
Arrhenius Equation & Activation Energy
E_a = activation energy (J/mol)
R = 8.314 J/(mol·K)
ln(k₂/k₁) = (E_a/R)(1/T₁ – 1/T₂)
Thiele Modulus & Effectiveness Factor
D_e = effective diffusivity in catalyst pore
η → 1: kinetics-limited; η ≪ 1: diffusion-limited
Weisz-Prater criterion: η·Φ² = (-r’_A_obs)·R²·ρ_c/(D_e·C_As)
Heat Transfer Assignment Help: Conduction, Convection, Radiation & Heat Exchanger Design
Heat transfer is the analysis of thermal energy transport by conduction, convection, and radiation — and the engineering design of systems that exploit or manage that transport. In chemical engineering practice, heat transfer analysis appears in heat exchanger design, reactor thermal management, distillation reboiler and condenser specification, dryer design, and process energy optimisation. It is also one of the most calculation-intensive subjects in the ChE curriculum, with assignments that require simultaneously solving multiple heat transfer mechanisms with complex boundary conditions.
Undergraduate heat transfer assignments typically involve steady-state conduction through composite walls and cylindrical geometries, forced convection correlations (Dittus-Boelter, Sieder-Tate), natural convection analysis, and radiation exchange between grey surfaces. Heat exchanger design assignments require applying the LMTD method or ε-NTU method to determine heat exchanger area, choosing appropriate tube-and-shell configurations, and applying the appropriate fouling resistance factors. At the graduate level, assignments extend to transient heat conduction (Heisler charts, numerical methods), turbulent convection in complex geometries, combined heat and mass transfer, and boiling/condensation heat transfer.
Fourier’s Law (1D Conduction)
A = cross-sectional area (m²)
Composite wall: q = ΔT / Σ(L/kA) = ΔT / R_total
Dittus-Boelter (Turbulent Pipe Flow)
Valid: Re > 10,000; 0.6 < Pr < 160
h = Nu·k/D
ε-NTU Method (Heat Exchangers)
Q_max = C_min(T_h,in – T_c,in)
Preferred over LMTD when outlet T unknown
Heat transfer topics fully covered
- Steady and transient conduction (analytical and numerical)
- Fins and extended surfaces
- Internal and external forced convection
- Natural and mixed convection
- Boiling and condensation heat transfer
- Thermal radiation: blackbody, grey surfaces, view factors
- Shell-and-tube heat exchanger design (TEMA standards)
- Process pinch analysis and heat integration
Fluid Mechanics Assignment Help: Momentum Transport, Pipe Flow & Non-Newtonian Fluids
Fluid mechanics in chemical engineering goes well beyond the classical mechanics taught in physics courses. Chemical engineers must analyse flow in process equipment with complex geometries, non-Newtonian behaviour in polymer and slurry systems, two-phase flow in reactors and pipelines, and the coupling of momentum transport with heat and mass transfer in the full transport phenomena framework pioneered by Bird, Stewart, and Lightfoot. Fluid mechanics assignments at the undergraduate level test students on pipe flow (Hagen-Poiseuille, friction factor correlations, Moody chart), pump selection and sizing, and the Bernoulli equation applied to engineering systems with losses.
Graduate-level fluid mechanics assignments engage with the full Navier-Stokes equations, creeping flow solutions, boundary layer theory, turbulence modelling, and computational fluid dynamics. Non-Newtonian fluid analysis — covering power-law, Bingham plastic, and viscoelastic models — appears in polymer processing, pharmaceutical manufacturing, and food engineering courses. Our specialists are equally comfortable with the classical analytical approaches and the numerical methods that characterise modern transport phenomena coursework.
Hagen-Poiseuille (Laminar Pipe Flow)
Velocity profile: v_z = (ΔP/4μL)(R²-r²)
Friction factor: f = 16/Re
Mechanical Energy Balance (Bernoulli + Losses)
Darcy-Weisbach: ΔP = f(L/D)(ρv²/2)
Power-Law (Non-Newtonian) Fluid
n < 1: pseudoplastic (shear-thinning)
n > 1: dilatant (shear-thickening)
Bingham plastic: τ = τ₀ + μ_p(dv/dy)
Process Design & Simulation Assignment Help: Aspen Plus, HYSYS, Material Balances & Flowsheet Development
Process design is where all chemical engineering sub-disciplines converge into a coherent engineering deliverable. A process design assignment does not ask you to solve one isolated problem — it asks you to integrate material and energy balances, thermodynamic property prediction, equipment sizing, economic analysis, and safety assessment into a unified flowsheet that could realistically be built and operated. This integration makes process design the most intellectually demanding assignment type in the ChE curriculum, and the one most likely to determine a student’s final grade in their design module.
Our process design specialists handle both hand-calculation design assignments (where professors test fundamental knowledge without simulation tools) and software-based design projects requiring Aspen Plus, Aspen HYSYS, or CHEMCAD flowsheet development. For simulation assignments, we build properly converged flowsheets with appropriate thermodynamic property packages selected for the system (e.g., NRTL for alcohol-water systems, Peng-Robinson for hydrocarbon systems, ELECNRTL for electrolyte systems), perform sensitivity analysis on key design variables, and produce written reports that interpret simulation results in the context of design constraints and economic objectives.
Material & Energy Balances
Degree-of-freedom analysis, recycle stream handling, purge calculations, tie-component methods, and complete steady-state process balances for multi-unit flowsheets.
Aspen Plus / HYSYS
Flowsheet construction, property package selection, convergence troubleshooting, sensitivity analysis, optimization, and full simulation report generation.
Techno-Economic Analysis
Capital cost estimation (Lang factors, hand factor methods), operating cost analysis, NPV, IRR, and sensitivity to raw material and product price assumptions.
Transport Phenomena Assignment Help: Bird, Stewart & Lightfoot Framework
Transport phenomena is the unified theoretical framework that connects momentum, heat, and mass transfer through analogous governing equations derived from first principles. The standard text by Bird, Stewart, and Lightfoot — commonly referred to simply as “BSL” — presents this framework through the microscopic equations of change: the Navier-Stokes equations for momentum, Fourier’s law in vector form for heat conduction, and Fick’s law in vector form for mass diffusion, unified under the continuity equation and the concept of molecular fluxes.
Transport phenomena assignments are genuinely among the most mathematically demanding in any engineering discipline. They require setting up shell balances, applying boundary conditions correctly, solving ordinary or partial differential equations analytically or numerically, and interpreting the physical meaning of dimensionless groups like the Reynolds, Prandtl, Schmidt, Sherwood, and Nusselt numbers. At the graduate level, assignments extend to turbulent transport, non-Newtonian transport in complex geometries, and coupled transport phenomena in reacting systems.
Our transport phenomena specialists have doctoral-level expertise in BSL-framework analysis. They approach each problem by first identifying the correct simplified form of the equation of change for the geometry and boundary conditions, then executing the mathematical solution with clear notation, and finally interpreting the result in physical terms. This three-level approach — setup, solution, interpretation — produces the kind of comprehensive answer that earns top marks at the graduate level.
Transport phenomena topics covered
- Shell momentum balances for slab, cylindrical, and spherical geometries
- Navier-Stokes equations in Cartesian, cylindrical, and spherical coordinates
- Analogies between momentum, heat, and mass transport (Reynolds, Chilton-Colburn)
- Unsteady-state transport: penetration theory, surface renewal theory
- Dimensionless group analysis and scale-up
- Coupled transport in reacting systems (Damköhler and Biot analysis)
Process Control Assignment Help: PID Controllers, Transfer Functions & Stability Analysis
Process control is the discipline that enables chemical plants to operate safely and efficiently at desired conditions in the presence of disturbances and process variability. The mathematical foundations — Laplace transforms, transfer functions, block diagram algebra, frequency response analysis — make process control assignments distinctly more mathematical than other ChE courses, and distinctly more unfamiliar to students whose background is primarily chemistry and thermodynamics rather than applied mathematics and control theory.
Process control assignments at the undergraduate level cover dynamic modelling of process units (deriving transfer functions from linearised ODEs), PID controller design (Ziegler-Nichols tuning, Cohen-Coon methods), stability analysis using Routh-Hurwitz criterion, Bode plots, and Nyquist diagrams. At the graduate level, assignments extend to model predictive control (MPC), Smith Predictor for dead-time compensation, multivariable control (RGA analysis, decoupling), and state-space representations.
PID Controller (Time Domain)
τ_I = integral time (min/repeat)
τ_D = derivative time (min)
Transfer function: G_c(s) = K_c[1 + 1/(τ_I·s) + τ_D·s]
Closed-Loop Transfer Function
G_p = process TF
G_m = measurement TF
G_v = valve/actuator TF
Characteristic equation: 1 + G_OL(s) = 0
Process Safety, Biochemical Engineering & Polymer Science Assignment Help
Modern chemical engineering education extends well beyond the classical core. Process safety and hazard analysis — HAZOP studies, fault tree analysis, consequence modelling, layer of protection analysis (LOPA) — appear in both dedicated safety courses and as components of design projects. Biochemical engineering, covering enzyme kinetics (Michaelis-Menten), bioreactor design (fermenters, airlift reactors), bioseparation processes, and metabolic engineering, has become a major track in both academic and industrial ChE programmes. Polymer science and engineering, covering polymerisation kinetics (free radical, coordination, living polymerisation), polymer solution thermodynamics (Flory-Huggins theory), and processing operations (extrusion, injection moulding), represents another specialised area our team covers with dedicated expertise.
Process Safety
HAZOP study documentation, fault tree and event tree analysis, LOPA, consequence modelling (dispersion, fire, explosion), and inherently safer design principles.
Biochemical Engineering
Michaelis-Menten kinetics, bioreactor design (CSTR, fed-batch, perfusion), oxygen transfer in fermenters, downstream processing (chromatography, ultrafiltration).
Polymer Engineering
Polymerisation kinetics and molecular weight distributions, Flory-Huggins solution thermodynamics, rheology of polymer melts, and polymer processing operations.
Complete Scope of Chemical Engineering Assignment Topics We Cover
Material & Energy Balances
The gateway course for ChE students, material and energy balance assignments test degree-of-freedom analysis, recycle and bypass stream handling, purge stream calculations, and the systematic application of conservation equations to multi-unit processes. Energy balance extensions cover heat of reaction, adiabatic flame temperature, and process heat integration.
- Sequential and simultaneous material balance solution
- Recycle, bypass, and purge stream analysis
- Energy balances with heat of mixing and reaction
- Reference state selection and enthalpy path construction
Numerical Methods in ChE
Chemical engineering problems routinely require numerical solution — non-linear algebraic equations (Newton-Raphson), systems of ODEs (Runge-Kutta, stiff solvers), PDEs for transient transport (finite difference, finite element), and parameter estimation from experimental data (regression, least squares). MATLAB, Python (NumPy, SciPy), and Excel-based numerical analysis are all handled.
- Root-finding: Newton-Raphson, bisection, secant methods
- ODE integration: explicit and implicit methods, stiff solvers
- PDE discretisation: finite difference for 1D and 2D transport
- Regression and parameter estimation from lab data
Electrochemical Engineering
Electrochemical engineering covers electrode kinetics (Butler-Volmer equation), transport in electrochemical cells, fuel cell and battery analysis, electroplating, corrosion engineering, and the design of electrochemical reactors. It integrates thermodynamics (Nernst equation), transport phenomena, and reaction kinetics in a coupled framework.
- Butler-Volmer and Tafel kinetics
- Nernst equation and electrode potential
- Mass transport in electrochemical systems
- Fuel cell efficiency and polarisation curves
Sustainability & Green Engineering
Green chemistry and engineering assignments cover life cycle assessment (LCA), process intensification, waste minimisation through pinch analysis, renewable energy integration, and the twelve principles of green chemistry applied to process design. These are increasingly prominent in design project assessments at all levels.
- Life cycle assessment methodology and software
- Process intensification strategies
- Carbon footprint and emission calculations
- Renewable energy integration in ChE processes
Nanotechnology & Materials
Materials and nanotechnology in ChE cover thin film deposition, nanoparticle synthesis and characterisation, surface and interfacial phenomena, colloidal systems, and the thermodynamics and kinetics of phase transformations in materials systems. These appear in advanced ChE courses and interdisciplinary materials engineering programmes.
- Colloidal stability (DLVO theory)
- Surface tension and Gibbs adsorption isotherm
- Nucleation and crystal growth kinetics
- Nanoparticle size distribution and characterisation
Plant Design & Economics
Senior design projects and plant design assignments require integrating all ChE knowledge into an economically viable process flowsheet. Our specialists handle conceptual design, process flow diagram (PFD) and P&ID development, equipment sizing and costing, and techno-economic analysis including NPV, IRR, and sensitivity analysis on key assumptions.
- Process flow diagram development and documentation
- Equipment sizing: heat exchangers, distillation columns, reactors, pumps
- Capital cost estimation (Lang, Hand, Guthrie methods)
- CAPEX/OPEX analysis and project economic evaluation
Chemical Engineering Topics — Complete Coverage
Chemical Engineering Topic Interconnection Map
ChE is uniquely interconnected. Understanding how sub-disciplines relate helps students and practitioners navigate complex assignments that span multiple topic areas.
Chemical Engineering Specialists Who Handle Your Assignment
PhD chemical engineers, MEng graduates, and industry professionals from process, petrochemical, pharmaceutical, and materials sectors. View all specialists →
Michael Karimi
Specialist in mathematically intensive chemical engineering problems: transport phenomena derivations, numerical ODE/PDE solution, and MATLAB/Python-based process simulation and optimisation.
View Profile →Eric Tatua
Process design and simulation specialist handling Aspen Plus flowsheet development, sensitivity analysis, process economics, and integrated design project reports at undergraduate and graduate level.
View Profile →Stephen Kanyi
Covers core chemical engineering thermodynamics, reactor design, and the written technical report components of design assessments. Handles comprehensive ChE coursework assignments at all academic levels.
View Profile →How Chemical Engineering Assignment Help Works
Share Your Brief
Upload your assignment, problem set, or design brief. Include any data sheets, simulation templates, course notes, and your deadline.
Specialist Matched
We match your assignment to the right ChE specialist — thermodynamics to a thermodynamicist, simulation to an Aspen expert, transport phenomena to a BSL-level analyst.
Work Delivered
Receive your complete assignment — full derivations, calculation working, simulation files, and written technical report formatted to your course standards.
Review & Submit
Review your work before your deadline. Request revisions within our policy — covered at no extra charge. Submit with confidence.
What to provide when ordering
- Assignment brief or question paper (PDF, Word, or image)
- Data sheets, stream tables, or physical property files
- Subject area (thermodynamics, mass transfer, reactor design, etc.)
- Simulation template or software version if applicable
- Academic level and programme (BEng, MEng, MSc, PhD)
- Required format (hand calculations, report, simulation file + report)
- Submission deadline and any partial work to build on
Our quality commitments
- 100% original work — no template solutions recycled between students
- Full derivations and calculation steps shown throughout
- Deadline guaranteed — confirmed at order acceptance
- Simulation files verified to run before delivery
- Unlimited revisions within the original scope
- Complete confidentiality — your details never shared
ChE Assignment Help From Year 1 Through Doctoral Level
Chemical engineering difficulty scales steeply with academic year. A Year 1 material balance assignment asks you to apply conservation equations to a single process unit with ideal behaviour. A Year 4 or MEng capstone design project requires you to develop a full process flowsheet for an industrial-scale operation, select and size every piece of equipment, run a process simulation, perform a hazard analysis, and write a 10,000-word report with economic justification. Our specialists match that full range of difficulty — and apply the right level of rigour to each assignment type.
For graduate ChE students — MSc, MEng, and PhD candidates at UK, US, Canadian, and Australian universities — our specialists bring research-level expertise. When a graduate assignment requires critically evaluating rate-based vs. equilibrium-stage distillation models, implementing a custom kinetics package in Aspen Plus, or deriving and solving the energy equation for a non-isothermal packed bed reactor in cylindrical coordinates, our team has the depth to execute and explain that analysis at the level an examiners committee expects.
Undergraduate ChE
BEng and BSc Chemical Engineering — all core modules from Year 1 material balances through Year 4 design projects. Foundational to advanced difficulty.
Undergraduate Help →MSc / MEng ChE
Advanced transport phenomena, process systems engineering, computational methods, polymer engineering, biochemical engineering, and thesis-level work.
Graduate Help →PhD / Doctoral ChE
Research-grade assignments, seminar papers, literature syntheses, and advanced coursework in financial economics, process systems, and computational ChE.
Doctoral Help →Pricing for Chemical Engineering Assignment Help
Pricing reflects complexity, academic level, scope (calculations only vs. full report + simulation files), and deadline. No hidden fees — price confirmed before work begins.
Problem Set
Quantitative calculations · 1–5 problems
- Thermodynamics, mass/heat transfer, reaction kinetics problems
- Full derivations and calculation steps shown
- Delivered in Word, PDF, or handwritten scan
- MATLAB/Python code snippets included where needed
Lab Report / Design Assignment
Calculations + written technical report · 1,000–4,000 words
- Complete quantitative analysis with full workings
- Formal technical report to AIChE/IChemE standards
- Figures, tables, and uncertainty analysis
- Literature citations (APA, Vancouver, Harvard)
- Priority specialist matching
Process Design Project
Full simulation + comprehensive report · Graduate/Senior level
- Complete Aspen Plus / HYSYS simulation file
- Equipment sizing calculations and documentation
- Comprehensive written design report with economic analysis
- MSc / MEng / PhD level available
- Emergency 3-hour option (request quote)
What Chemical Engineering Students Say
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“My distillation design assignment required a McCabe-Thiele analysis for a binary ethanol-water system followed by a Fenske-Underwood-Gilliland shortcut for a three-component separation. The working was methodical, every assumption was justified, and the written section was exactly the standard my professor asked for. First class result.”
— Amara T., BEng Chemical Engineering, UK
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“I had a transport phenomena assignment requiring a shell balance derivation and analytical solution for laminar flow between parallel plates with a heat flux boundary condition — something I’d been stuck on for two days. The specialist solved it completely in under 12 hours with step-by-step working. The solution made the concept click.”
— James O., MSc Chemical Engineering, USA
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“Full semester design project — Aspen Plus simulation of a methanol-to-olefins process, equipment sizing, HAZOP extract, and a 9,000-word technical report. Delivered four days before deadline. The Aspen file actually converged properly and the report structure was exactly what my programme required. Highest mark in my cohort.”
— Priya S., MEng ChE, Australia
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Useful Resources for Chemical Engineering Students
AIChE — American Institute of Chemical Engineers
Professional standards, design resources, and the Journal of Chemical Engineering
NIST TDE — Thermodynamic Property Data
Authoritative source for thermophysical and transport property data for pure compounds and mixtures
Engineering Assignment Help — All Disciplines
Mechanical, civil, electrical, environmental, and all other engineering assignment support
Statistics & Data Analysis Assignment Help
Quantitative methods, regression, MATLAB, Python, and R-based analysis assignments
Math Assignment Help
Differential equations, linear algebra, calculus, and numerical methods
Data Analysis Assignment Help
MATLAB, Python, SPSS, and Excel-based engineering data analysis
ChE Dissertation & Thesis Help
MSc and PhD thesis support for chemical and process engineering projects
Complex Technical & Scientific Assignment Help
Multidisciplinary technical and scientific assignment support at all levels
Frequently Asked Questions About Chemical Engineering Assignment Help
Can you help with thermodynamics assignments involving phase equilibria and equation of state calculations?
Yes — thermodynamics is one of our most frequently requested ChE topics. Our specialists handle all levels of thermodynamics, from first and second law analysis for undergraduate problem sets through advanced non-ideal phase equilibria requiring cubic equations of state (Peng-Robinson, SRK), activity coefficient models (NRTL, UNIQUAC, Wilson), and Gibbs energy minimisation for reactive systems. We work with NIST Webbook data, Perry’s Chemical Engineers’ Handbook correlations, and process simulation software as appropriate for your assignment.
Can you help with Aspen Plus or HYSYS simulation assignments?
Absolutely. Our process design specialists are proficient in Aspen Plus (V10, V11, V12), Aspen HYSYS, and CHEMCAD. We build properly converged flowsheets with appropriate thermodynamic property packages selected for the chemical system, perform sensitivity analysis on key design variables, and produce the accompanying written report that interprets simulation results against design constraints. We handle convergence issues, recycle loop specifications, and custom reaction kinetics packages. Simulation files are tested before delivery to ensure they open and run correctly.
How do you handle assignments that need both calculations and a formal technical report?
Most ChE assignments require both rigorous quantitative analysis and formal technical documentation. Our specialists deliver complete assignments covering all components: all calculations with full derivation steps shown (not just numerical results), any required code or simulation files, and a formal written technical report structured to AIChE or IChemE conventions with appropriate engineering figure and table presentation, uncertainty analysis where relevant, and citation of primary sources including Perry’s, BSL, Fogler, or journal literature as appropriate for your course level.
Do you handle assignments requiring MATLAB or Python numerical methods?
Yes. Numerical methods assignments in chemical engineering — ODE integration for reactor design, PDE solution for transient heat and mass transfer, non-linear algebraic equation solving, and parameter estimation from experimental data — are handled by specialists proficient in MATLAB (using ode45, ode15s, fsolve, lsqnonlin and other solvers) and Python (NumPy, SciPy, Matplotlib, pandas). We deliver commented, well-documented code alongside the written analysis that explains the numerical approach and interprets the results.
How quickly can a ChE assignment be completed?
Shorter quantitative problem sets (3-5 questions) can be completed in 3-6 hours for emergency requests. Full lab reports and design reports (1,500-4,000 words plus calculations) typically require 24-48 hours for quality outcomes. Comprehensive process design projects with simulation files, full equipment sizing, and extended reports realistically need 48-72 hours. Process safety assessments requiring HAZOP documentation or fault tree analysis may require similar timeframes. Contact us with your deadline and assignment details — we confirm feasibility within 30 minutes and advise honestly if a timeline creates quality risk.
Can you help with reaction engineering assignments covering non-ideal reactors and RTD analysis?
Yes. Non-ideal reactor analysis is one of the more advanced and frequently challenging reaction engineering topics. Our specialists handle residence time distribution (RTD) theory — measuring and interpreting E(t) and F(t) curves, applying the tanks-in-series model, using the dispersion model with the Peclet number, and combining ideal reactor sub-volumes to model complex non-ideal flow patterns. We also cover the bypassing and dead-volume models, and the extension of RTD analysis to multiple reactions with selectivity implications.
Do you handle graduate and PhD-level ChE coursework?
Yes — graduate chemical engineering is a core strength. Our team includes chemical engineering PhDs and industry professionals with post-degree research experience in transport phenomena, catalysis, process systems engineering, polymer science, and biochemical engineering. We handle MSc and MEng coursework from Imperial College, University College London, MIT, Georgia Tech, University of Sydney, University of Toronto, and all other programmes. For PhD coursework and seminar assignments requiring engagement with primary literature, our research-level specialists bring the same depth they apply to their own research.
Is my assignment and personal information kept confidential?
Completely. Your personal information, assignment content, and any confidential data you share are handled under strict confidentiality protocols. We never share client information with any external organisation, academic institution, or third party. All specialists have signed confidentiality agreements. Your assignment will not be re-used, published, or shared in any form. For details, see our privacy and confidentiality policy.
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Stop re-deriving the energy equation for your non-isothermal packed bed reactor and still not being sure your boundary conditions are right. Our chemical engineering specialists handle the thermodynamics, the transport, the simulation, and the technical report — so you can submit work you’re genuinely proud of, at the grade you need, before your deadline.
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