Stimulations / CFD Engineer

About NoPo

NoPo Nanotechnologies is India's only commercial

manufacturer of Single Walled Carbon Nanotubes (SWCNTs), produced through our

proprietary HiPCO (High Pressure Carbon Monoxide) process. We are a fast

growing, technically driven organization working at the frontier of advanced

materials manufacturing, with applications spanning energy, composites, and

next generation industrial technologies.

A. CFD Modelling and Simulation

and execute CFD models for tubular reactors, multi-tubular reactors, gas

flow systems, and high-temperature process equipment used in SWCNT

production.

fluid flow, Reynolds number / turbulence, temperature distribution, heat

transfer, pressure drop, and gas residence time under different operating

conditions.

appropriate turbulence models, discretization schemes, boundary

conditions, and numerical solution methods based on the physics of the

process.

mesh generation, mesh independence studies, convergence assessment, and

numerical sensitivity analysis.

B. Reactor Design and Thermal Analysis

temperature uniformity, hot spots, cold zones, and thermal gradients

within reactors and associated heating systems.

heat transfer between heating elements, reactor walls, and process gases.

the impact of reactor geometry, tube arrangement, heating configuration,

insulation, and operating conditions on thermal performance.

C. SWCNT Process and Reactor Optimization and

troubleshooting

gas flow and residence time for CO-based SWCNT production processes,

including HiPco or other relevant processes, as applicable to the

company's technology.

gas distribution, mixing, recirculation, flow maldistribution, and

pressure drop across reactor assemblies.

the modelling of gas-phase reactions, species transport, and reaction

kinetics where suitable kinetic data are available.

the effect of operating parameters on process stability, gas utilization,

thermal efficiency, and potential reactor fouling.

with experimental teams to develop modelling approaches for complex

R&D problems.

D. Validation, Troubleshooting, and Continuous

Improvement

CFD predictions against experimental measurements, pilot plant data,

temperature profiles, pressure measurements, and flow data.

deviations between simulated and actual reactor performance and recommend

corrective actions.

parametric studies, sensitivity analysis, and design-of-experiments-based

simulation studies.

engineering recommendations to resolve flow maldistribution, overheating,

inadequate heat transfer, and pressure-drop issues.

root cause analysis of reactor performance and equipment-related problems.

degree in Mechanical Engineering, Chemical Engineering, Aerospace

Engineering, or a closely related engineering discipline.

years of hands-on experience in CFD modelling and simulation for

industrial equipment, reactors, thermal systems, or chemical processes.

in at least one major CFD platform, such as ANSYS Fluent, ANSYS CFX, or

OpenFOAM.

understanding of fluid mechanics, heat transfer, thermodynamics, and

numerical methods.

experience with turbulence modelling, mesh generation, mesh quality

assessment, convergence monitoring, and mesh independence studies.

knowledge of energy equations, species transport, pressure-drop

calculations, and residence-time analysis.

to define appropriate boundary conditions and material properties and

critically assess simulation assumptions.

in interpreting CFD results and translating them into practical

engineering recommendations.

analytical, problem-solving, technical documentation, and communication

skills.

in CFD simulation of chemical reactors, tubular reactors, multi-tubular

reactors, or high-temperature gas-phase processes.

to carbon nanotube synthesis, CVD, HiPco, gas-phase nanomaterial

synthesis, or related advanced-materials processes.

with conjugate heat transfer (CHT), radiation modelling, and

high-temperature thermal systems.

of reacting-flow models, finite-rate chemistry, species transport, and

chemical kinetics.

to particle tracking, aerosol dynamics, nucleation, deposition, or

population balance modelling.

in modelling electrical heating systems, heated reactor assemblies,

refractory insulation, and thermal losses.

of statistical analysis, design of experiments (DoE), and correlation of

simulation results with experimental data.

supporting pilot-scale equipment design, process troubleshooting, and

technology scale-up.

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