CFD and simulation
OpenFOAM solver customization, Ansys Fluent, SolidWorks, Gmsh, Hypermesh, and verification workflows for production-grade simulation studies.
CFD · Simulation Engineering · Scientific Software
Mridu Sai Charan A. S.
Simulation engineer and CFD specialist — OpenFOAM solver development in C++, turbulence modelling from RANS to DNS, Python automation, and Tier-1 HPC workflows, backed by hands-on software delivery.
Open to full-time CFD, simulation, and scientific-software roles in Bengaluru, India
Own DNS — roughness step change · drag to explore
Q-criterion · Nek5000 spectral-element DNS
DNS/LES/RANS
multi-fidelity modelling
OpenFOAM
solver customization
ARCHER2 · LUMI-C
national & EuroHPC systems
Core expertise
High-fidelity simulation work paired with practical implementation, automation, and communication for engineering teams.
Programming and systems
C++, Python, MATLAB, C, SciLab, Linux, and HPC environments for repeatable simulation pipelines and post-processing automation.
Turbulence modelling
Multi-fidelity workflows across DNS, LES, URANS, RANS, gas dynamics, and wall models for heterogeneous roughness.
Consulting focus
Support for organizations that need simulation work to become more accurate, more automated, or easier to explain.
OpenFOAM customization
Solver adaptation, boundary condition work, workflow scripting, and model validation for industrial CFD needs.
HPC simulation workflows
Job setup, automation, data reduction, and reproducible post-processing for research and engineering teams using large compute resources.
Technical training
Clear workshops and teaching material for thermodynamics, fluid mechanics, CFD methods, and engineering simulation practice.
Research
Independent turbulence-modelling projects, documented as case studies: the problem, the method, and results validated against published data.
Anisotropic Spalart–Allmaras in OpenFOAM
A custom OpenFOAM turbulence model extending an anisotropic Reynolds-stress hypothesis to Spalart–Allmaras: baselines verified against NASA and DNS data; recovers the DNS ordering of the normal stresses and drives square-duct secondary flow at DNS-comparable magnitude where stock SA gives exactly zero.
A DNS→LES hybrid testbed on Xcompact3d
One solver, two fidelities: grid-converged DNS of the Taylor–Green vortex (peak dissipation within 1.2% of a published 512³ reference), a priori subgrid analysis, matched coarse-grid LES, and a DNS→LES handoff — DNS carries the dissipation peak, then a spectrally restricted restart hands the decay to the coarse grid at an eighth of the cost.
Publications & open contributions
- Preetham B. M., Jyothiprakash K. H., Mridu Sai Charan A. S. & Ashwath Gowda, Numerical simulation of airflow in naturally ventilated attics for different attic geometries, Heat Transfer 51(3), 2604–2627 (2022). doi:10.1002/htj.22416
- Sukruth Rajesh, Mridu Sai Charan A. S., Prashanth Murali & Jyothiprakash K. H., Generation of design data for wavy fins used in compact heat exchangers for aerospace applications, Proc. 26th National and 4th International ISHMT-ASTFE Heat and Mass Transfer Conference, IIT Madras, 2349–2355 (2021), Begell House.
- Open case study: Supersonic flow over a double-wedge airfoil (OpenFOAM, sonicFoam) — published in the FOSSEE CFD case-study archive, IIT Bombay (PES University, 2020).
Projects
Self-built products and platforms, from devotional learning software to production hosting infrastructure.
Nalayira Divya Prabandham Learning App
A public Tamil reading library and learning companion for all 4000 pasurams, with a personal daily schedule, recall practice, spaced-repetition reviews, streaks, and offline reading.
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Browse the free Divya Prabandham library Open the learning app
Business billing platform
A GST-compliant invoicing and reporting system for a design business: client management, invoice generation with PDF output, Excel imports, and email delivery.
Self-hosted web platform
A portable, Docker-based hosting platform serving twenty-plus production websites from local hardware through Cloudflare Tunnel, with automated backups, SEO tooling, and zero-downtime migration from AWS.
Experience
Research, technology transfer, and instruction across academic and industrial contexts.
PhD in Engineering (CFD) - University of Edinburgh · EPSRC iCASE with AkzoNobel
Wall-modelled RANS of non-equilibrium boundary layers at roughness step changes, for ship-hull hydrodynamics. Technology-transfer lead for CFD research workflows into AkzoNobel's engineering team; ARCHER2 co-investigator (project e854); co-PI on a EuroHPC Extreme Scale Access award of 221k node-hours on LUMI-C; co-supervised with the University of Southampton and the US Naval Academy. Thesis submitted August 2026; awaiting viva.
Teaching Assistant, Fluid Mechanics, Thermodynamics and Thermofluids - University of Edinburgh
Tutorials and assessment in boundary-layer theory, heat transfer, and CFD for cohorts of 30 to 60, across Fluid Mechanics 2 and 4, Thermodynamics 4, and Thermofluids 3.
MSc Computational Fluid Dynamics, Distinction - Cranfield University
Numerical methods, HPC, turbulence modelling, and grid generation. Thesis: DNS of a turbulent flame kernel.
Domain Head, Aerodynamics - Team Aeolus, PES University
Led CFD verification and aerodynamic data analysis for AIAA Design/Build/Fly 2020: second globally in the technical proposal phase. The COVID year ruled out building, testing, and travel to the fly-off, and the final classification reflects that.
Hiring for a simulation, CFD, or R&D software team in Bengaluru?
I turn hard simulation problems into working, automated workflows.
I am actively looking for full-time roles in Bengaluru — CFD/simulation engineering, OpenFOAM or solver development, HPC and scientific computing, or simulation-adjacent software. Consulting engagements are also welcome. Email me with the role or problem context and I will reply quickly.